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Prepared by
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Bruno Fernandes
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Project Engineer
Nuno Almeida Project Manager
Signatures and approvals on original
Signature
DEIMOS Engenharia S.A.
Av. D. João II, Lote 1.17.01, Edifício Torre Zen, 10º
1998-023 Lisboa, PORTUGAL
Tel.: +351 21 893 3010 / Fax: +351 21 896 9099
E-mail: [email protected]
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D o c u m e n t t I
I n f f o r m a t t i i o n
Contract Data
Contract Number:
Contract Issuer:
Unclassified
Internal Distribution
Name Unit
Internal Confidentiality Level (
DME-COV-POL05
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Restricted
Confidential
Copies
Name
External Distribution
Organisation Copies
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D o c u m e n t t S t t a t t u s L o g
Issue Date Change description
Draft 1 15/06/2006 First draft of the document
Draft 2 14/09/2006 Second draft of the document for FAT-V1
1.4 27/11/2006 Revision 4 of Issue 1:
Revision related to SMOS Data Viewer 1.2.
Some minor corrections (presentation, spelling and grammar)
Section 6 and 7: L1A and L1B features only apply to L1A and
L1B data
New paragraph in Appendix A (How to edit BinX files)
New Appendix B (Prerequisite on the system set-up for printing from SMOSView GUI)
New Appendix C (Phase calculations in SMOS Data Viewer plots)
New Appendix D about the transformations performed to switch from L1B Fourier components of BT to L1B reconstructed BT
1.5
2.0
12/03/2007 Revision 5 of Issue 1:
User Manual has been largely revised in each section. The current revision is related to SMOS Data Viewer version beta
1.3, including specific L1C and L2 visualization features. It also takes into account comments from ESA (from February
2007).
26/04/2007 Issue 2.0:
User Manual update for the official SMOS Data Viewer version 1.3.0.
Add L2 flag projection section
Change explanation for incidence angle selection
Add comment concerning the opening of files (.HDR or .DBL)
Add search function explanation
Add UDP – SM – OS acronyms
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2.1
2.3
2.4
2.5
2.6
2.7
2.8
14/06/2007 Revision 1 of Issue 2 :
Modifications to take into account comments from FAT-V2 meeting.
20/11/2007 Add Polarization filter for specific visualization plug-in
12/12/2008 Update the document in section 5 in order to clarify the SPR
SDV-PR-0041.
The installation process was further detailed in section 3.2
Updated the L2 Specific Visualization product table
06/03/2009 Update the document to reflect the new L1C plot functionality in section 8.1.
Clarify the IDL export limitations in section 3.5.
Updated the auxiliary files that are possible to visualize
Added an appendix with the new “Browse” structure of the
Level 0 products. This includes the correlations table.
Removed “Array Movie Viewer” section
Added new section explaining how to replace the product format plugin (section 3.3)
05/06/2009 Update the document to reflect updates on the color scale and visualization of AUX_SSS and AUX_DISTAN files.
Limitations of the Chart Plugin
Introduce the new functionality of DUMMY data display for
L2 product files
18/09/2009 Update the document to reflect new implementations on the
SMOS Data Viewer release 1.5.4.
New specific visualization available fo AUX_FARA products
Color scale can be adjusted for L1A and L1B specific visualization panels.
The L1B Reconstruction is now performed using the Blackman
Apodisation window.
14/12/2009 Update the document to reflect corrections and enchancements available on SMOS Data Viewer release 1.5.4.
Clarificarification of the specific visualization of
CRSx1A
Added section explaining the transformation from square to star domain.
Introduced the support of browsing intermediate products (CORN1A and UNCN1A)
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2.9
2.10
2.11
14/05/2010 Update the document to include information about the new specific visualization available for AUX_GAL products in the
SDV release 1.6.0.
Added information about the new information available in L1A and L1B specific visualization panel.
17/10/2013 Update the document to include information about the new specific visualization available for AUX_OTT products in the
SDV release 1.6.5.
26/02/2015 Update the document to include information about the new specific visualizations available for AUX_DTBCUR and
AUX_DTBXY products as part of the SDV release 1.7.0.
New section (3.1) with the Know Issues of the application
Corrected typos along the document.
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T a b l l e o f f C o n t t e n t t s
1. INTRODUCTION _______________________________________________________________ 16
1.1. Purpose and Scope _______________________________________________________________ 16
1.2. The SMOSView mission __________________________________________________________ 16
1.3. Structure of the Document ________________________________________________________ 16
1.4. Abbreviations and Acronyms ______________________________________________________ 17
2. The SMOSView application _______________________________________________________ 19
2.1. Limitations of SMOSView ________________________________________________________ 19
2.2. SMOSView data format __________________________________________________________ 19
2.3. User feedback and bug report _____________________________________________________ 19
3. Getting started with SMOSView ___________________________________________________ 21
3.1. Known Issues ___________________________________________________________________ 21
3.2. Your system setup _______________________________________________________________ 21
3.3. How do I install SMOSView? ______________________________________________________ 21
3.4. Update of New Product Schemas ___________________________________________________ 22
3.5. How do I start SMOSView? _______________________________________________________ 22
3.6. The SMOSView User Interface ____________________________________________________ 23
3.7. SMOSView buffers ______________________________________________________________ 25
3.8. The first steps ___________________________________________________________________ 26
3.9. SMOSView menu tour ____________________________________________________________ 26
3.10. SMOSView toolbar _____________________________________________________________ 30
3.11. SMOS View Known Problems and Limitations ______________________________________ 30
4. Viewing DATA content ___________________________________________________________ 31
4.1. File Chooser buffer ______________________________________________________________ 31
4.2. Format Manager Buffer __________________________________________________________ 32
4.3. Browser buffer __________________________________________________________________ 34
4.3.1. Search function _______________________________________________________________ 36
4.3.2. Data browsing in Normal mode __________________________________________________ 36
4.3.3. Interpreted data _______________________________________________________________ 37
4.3.4. Ignored data __________________________________________________________________ 38
4.3.5. Other data visualization modes ___________________________________________________ 38
4.4. Export a product subset to an ASCII file ____________________________________________ 43
4.4.1. Export data using the Browser buffer ______________________________________________ 43
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4.4.2. Export data using the New Subset selection _________________________________________ 44
5. Plotting Data ___________________________________________________________________ 48
5.1. 2D plots ________________________________________________________________________ 48
5.1.1. Plotting a data field against an auto-generated index __________________________________ 49
5.1.2. Plotting two data fields against each other __________________________________________ 52
5.1.3. Importing external data _________________________________________________________ 54
5.1.4. Multi plot visualization _________________________________________________________ 55
5.1.5. Deleting a plot or data selection __________________________________________________ 56
5.1.6. Saving a plot Template _________________________________________________________ 56
5.2. Plot settings _____________________________________________________________________ 56
6. L1A Specific visualization features _________________________________________________ 60
6.1. L1A visibility matrix _____________________________________________________________ 60
6.2. What the plot shows ______________________________________________________________ 61
6.2.1. Features available _____________________________________________________________ 62
6.2.1.1. Zoom in / Zoom out: ________________________________________________________ 62
6.2.1.2. Hide parameters to magnify visualized data: _____________________________________ 62
6.2.1.3. Plot Type _________________________________________________________________ 62
6.2.1.4. Snapshot and title settings ___________________________________________________ 63
6.2.1.5. Value details ______________________________________________________________ 64
6.2.1.6. Export ___________________________________________________________________ 64
6.2.1.7. Color Table _______________________________________________________________ 65
6.2.1.8. Stepping through the product _________________________________________________ 68
6.3. L1A Star Domain ________________________________________________________________ 69
7. L1B Specific visualization features _________________________________________________ 70
7.1. L1B Fourier Components of Brightness Temperature__________________________________ 70
7.2. L1B Reconstructed Brightness Temperature _________________________________________ 72
8. L1C Specific visualization features _________________________________________________ 74
8.1. L1C Dual polarization visualization _________________________________________________ 74
8.1.1. Plot type ____________________________________________________________________ 75
8.1.2. Pixel Attributes Projection ______________________________________________________ 76
8.1.2.1. Attributes ________________________________________________________________ 76
8.1.2.2. Geo Tools ________________________________________________________________ 77
8.1.2.3. Projections _______________________________________________________________ 78
8.1.2.4. Color Tables and Range _____________________________________________________ 78
8.1.2.5. Export ___________________________________________________________________ 79
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8.1.2.6. Zoom in / out / around ______________________________________________________ 80
8.1.2.7. Snapshot ID selector ________________________________________________________ 80
8.1.2.8. Polarization _______________________________________________________________ 81
8.1.2.9. Incidence angle selector _____________________________________________________ 81
8.1.3. Measurement Counter Projection _________________________________________________ 81
8.2. L1C Full polarization visualization _________________________________________________ 82
8.2.1. Polarization __________________________________________________________________ 83
8.2.1.1. Brightness Temperatures Specific Plot __________________________________________ 83
8.3. L1C browse products visualization _________________________________________________ 84
9. L2 Specific visualization features ___________________________________________________ 86
9.1. Controls from left pane ___________________________________________________________ 87
9.1.1. Field selection ________________________________________________________________ 89
9.1.2. Flags selection ________________________________________________________________ 89
9.1.3. Geo Tools ___________________________________________________________________ 91
9.1.4. Projections ___________________________________________________________________ 91
9.1.5. Field color Scale ______________________________________________________________ 91
9.1.6. Example _____________________________________________________________________ 92
9.2. Error mode _____________________________________________________________________ 93
9.2.1. Error color scale ______________________________________________________________ 93
9.2.2. Error mode example ___________________________________________________________ 93
9.2.3. Visualization Approach on AUX_SSS and AUX_DISTAN _____________________________ 94
9.2.4. Figure 105 AUX_SSS Zone PanelDummy Data Filtering ______________________________ 95
9.2.5. Visualization of AUX_FARA Products ____________________________________________ 95
9.2.6. Visualization of AUX_GAL_OS and AUX_GAL_SM ________________________________ 96
9.2.7. Visualization of AUX_OTTxD/F _________________________________________________ 98
9.2.8. Visualization of AUX_DTBCUR _________________________________________________ 99
9.2.9. Visualization of AUX_DTBXY _________________________________________________ 100
9.2.9.1. Plot Panel _______________________________________________________________ 100
9.2.9.2. World Map Panel _________________________________________________________ 100
9.2.9.3. Charts Panel _____________________________________________________________ 101
Appendix A Prerequisite for Printing _____________________________________________ 102
Appendix B Phase Calculations in SMOS Data Viewer plots__________________________ 103
Appendix C transformations performed to switch from L1B Fourier components of BT to L1B reconstructed BT _________________________________________________________________ 105
Appendix D: Star Domain Visualization ______________________________________________ 107
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Appendix E: Browse Structure of Level 0 Product Arrays _______________________________ 109
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L i i s t t o f f T a b l l e
Table 1: List of Terms Used in this Document................................................................................................ 17
Table 2: List of acronyms used in this document ............................................................................................ 18
Table 3 L1A products to which L1A Specific Visualization Features apply .................................................. 60
Table 4 L1B products to which L1B Specific Visualization Features apply ................................................... 70
Table 5 L1C products to which L1C Specific Visualization Features apply ................................................... 74
Table 6 L2 products to which L2 Specific Visualization Features apply ........................................................ 86
Table 7 L2 products to which L2 Specific Visualization Features apply ........................................................ 86
Table 8 L2 Ocean Salinity fields that can be projected on the geographical map ........................................... 88
Table 9 L2 Soil Moisture fields that can be projected on the geographical map ............................................ 88
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L i i s t t o f f P i i c t t u r e s s
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Figure 81 Example of L1C BT value field displayed. All pixels displayed refer to the same snapshot
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P u r p o s s e a n d S c o p e
This document provides a detailed guide to using the SMOSView tool for viewing data from the Earth observation data products contained in binary files. It explains how this data can be extracted, decoded and displayed using various visual representations, including images where appropriate, and exported in a variety of formats.
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T h e S M O S V i i e w m i i s s i i o n
SMOS is an Earth Explorer mission dedicated to analyzing the soil moisture and ocean salinity. These parameters are two key variables used within models developed to study the meteorology and hydrology of the Earth. The European Space Agency launched a program aimed at deriving these parameters from
Earth satellite observation data, resulting in the SMOS mission.
The SMOS satellite will carry a specific payload named MIRAS (Microwave Imaging Radiometer with
Aperture Synthesis), a two dimensional L-band interferometer radiometer. This instrument will measure the brightness temperature field from which soil moisture and ocean salinity are derived.
INDRA is responsible for implementing the Data Processing Ground Segment (DPGS). This processing facility will ingest raw data down-linked from the SMOS satellite and produce data containing the ocean salinity and soil moisture parameters.
Developing a data processing ground segment is a complex task and requires a data visualization tool.
This tool is used to visualize the content of binary data files generated by the ground segment and verify their content. The SMOS Data Viewer is called SMOSView in the following part of this document.
SMOSView is a tool capable of opening and decoding SMOS data. It then displays the contents as tables, graphs as appropriate.
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S t t r u c t t u r e o f f t t h e D o c u m e n t t
After this introduction, the document is divided into a number of major sections, which are briefly described below:
Chapter 2 presents the SMOSView application and its functionalities.
Chapter 3 details the first steps to use SMOSView; installing the software, system set-up and the
User Interface.
Chapter 4 explains how to view product content and format description
Chapter 5 describes plotting capabilities of SMOSView
Chapter 6 details visualization features of L1A data
Chapter 7 details visualization specific features of L1B data
Chapter 8 details visualization features of L1C data
Chapter 9 details visualization features of L2 data
Appendix A is about the BinX to Xin converter
Appendix B gives the Prerequisite on the system set-up for printing from SMOSView GUI
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Appendix C details Phase calculations in SMOS Data Viewer plots
Appendix D may be useful to scientific users who want to understand how SMOSView performed the transformations to switch from L1B Fourier components of BT to L1B reconstructed BT
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A b b r e v i i a t t i i o n s a n d A c r o n y m s
The following terms have been used in this report with the meanings shown.
Data Set
Data Set Record
A collection of data set records in an SMOS product.
Dialog
A collection of data fields of certain sizes and data types.
A window that displays information or presents options to the user.
Focus
Java Runtime
Environment
Product
View
The destination of keyboard input.
The software required to run a Java application
An SMOS data file
A manner of visualizing data. E.g. a Graph View or an Image
View.
Table 1: List of Terms Used in this Document
The following acronyms have been used in this document:
ASCII American Standard Code for Information Interchange
ADS
BT
COTS
Annotation Data Set (time stamped processing data)
Brightness Temperature
Commercial Off The Shelf Software
DSD
ESA
GIF
GUI
HDF
HMI
HTML
ID
IDL
Data Set Descriptor
European Space Agency
Graphics Interchange Format
Graphical User Interface
Hierarchical Data Format
Human Machine Interface
Hyper-Text Mark-up Language (web page format)
IDentifier (of snapshot)
Interactive Data Language
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RGB
SDV
SM
SMOS
SPH
TIFF
UDP
VM
IEEE
JPEG
JVM data block
MPH
OS
PDS
S o
S
f f t
M
t w
O
a
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r e
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Institute of Electronic and Electrical Engineers
Joint Photographic Expert Group (image format)
Java Virtual Machine (also Java VM)
Measurement Data Record
Main Product Header
Ocean Salinity
SMOS Payload Data Segment (systems processing and archiving data)
An image format common on Unix
Red Green Blue
SMOS Data Viewer also named as “SMOSView”
Soil Moisture
Soil Moisture and Ocean Salinity
Specific Product Header
Tagged Image File Format
User Data Product
(Java) Virtual Machine (used to run java software. Also JVM)
Table 2: List of acronyms used in this document
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The SMOSView software enables a user to decode and display data from SMOS products, display the contents as images or graphs and export the data to a number of alternative formats.
SMOSView is a tool providing a quick and easy look at SMOS data products. Ease of use is emphasized through its simple graphical user interface for data exploration and visualization. This version is intended in particular for the following purposes:
Browse through data files and display their content (see section 4),
Provide plotting capabilities (see section 5)
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M O S V i i e w
SMOSView is not intended for a detailed analysis, visualization and processing of Earth observation data. There are other commercial and proprietary tools providing these facilities and with many specialized options. However, SMOSView allows selected data to be exported to IDL to support more complex analysis.
Widely used commercial packages include:
IDL & ENVI http://www.ittvis.com/
Matlab http://www.mathworks.com
Mathematica http://www.wolfram.com/
Noesys http://www.ittvis.com/
PV-WAVE http://www.vni.com
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S M O S V i i e w d a t t a f f o r m a t t
SMOSView is able to handle multiple versions of any Earth observation data products, as long as the product formats are described in the SMOSView format database.
SMOSView handles all these products thanks to the XIN language, an XML meta-data language used to describe the content and structure of any binary data file. The use of XIN language within SMOSView is fully described in the SMOSView Software Specification document.
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U s e r f f e e d b a c k a n d b u g r e p o r t t
User feedback is essential for improving SMOSView and comments and bug reports can be sent directly to the ESA Earth Observation Missions Helpdesk: mailto:[email protected]?subject=SMOSView%20Bug%20Report
When making a bug report, please include the following information:
From the “About” SMOSView option in the Help menu:
Operating System & Machine Type
Java version, vendor name and vendor specific
SMOSView and data format version numbers
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Steps leading to problem
Any text sent to the terminal
We would like to thank all those who are kind enough to send bug reports and feedback. Every message helps to make the tool better for everyone in the future.
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This chapter presents the first steps to complete before using SMOSView, i.e. installing SMOSView on various platforms and starting the tool.
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The following list presents the known issues of SMOSView that may affect the user interaction with the application:
The tool has been tested and supported for Windows XP, Vista and 7 (32 and 64 bits installations).
For Windows 8 it is only possible to install the 32 bits installation package.
The Specific Visualization feature of the OTT data from AUX_DTBXY a AUX_DTBCUR products takes around 30 seconds to load. Please wait while the buttons are disbaled on the visualization panel.
During any Specific Visualization on the World Map the points projected may disappear on some zoom levels. If that happen please center again the map with a click on the center of the navigation arrows.
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Y o u r s y s t t e m s e t t u p
SMOSView is a Java application; it can run on any platform. The main requirement for the usage of the tool is RAM memory.
The minimum amount of memory required to launch SMOSView is equal to 512 megabytes, this will allow to use the browse product feature and perform some basic plots (using the chart) of small products.
To use comfortably SMOS View and take advantage of the specific visualization feature up to Level 1C it is recommended to have at least 1 GB of memory. To use the specific visualization of L2 ADFs and
L2 products it is recommended to have 2GB dedicated to SMOS View.
SMOSView is fully supported only on Java 1.5, which is included in the installation package. For more information please refer to www.java.com
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NOTE: On 64 Bit operating systems installations, the library glibc-32 bits version is required to be installed.
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SMOSView provide installation packages for Microsoft Windows, Mac OS X, AIX, Solaris, Linux and
HP-UX operating systems.
Unzip the archive, open the file “install.htm” with your web browser and download the installation file for your architecture. The installation instructions presented below are also available in the page.
Windows XP, Vista, 7 :
After downloading, double-click “install.exe”
You do not need to install any other software. A Java virtual machine is included with this download.
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Windows 8
After downloading, right-click on “install.exe” and select "Properties"
On the "Compatibility" tab enable the Compatibility mode and select "Windows 7" and press
"Ok"
Double-click “install.exe”
Mac OS X:
After downloading, double-click “install”.
Requires Mac OS X 10.4 or later
Be sure you have Java 1.5 or later installed.
The compressed installer should be recognized by Stuffit Expander and should automatically be expanded after downloading. If it is not expanded, you can expand it manually using StuffIt
Expander 6.0 or later.
AIX / Linux / HP-UX:
After downloading open a shell and, “cd” to the directory where you downloaded the installer.
At the prompt type: “sh ./install.bin”
A Java virtual machine is included with this download. It will run automatically when you run the shell script.
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U p d a t t e o f f N e w P r r o d u c t t S c h e m a s s
SMOS View install by default a “jar” file (smos-formats-plugin-SNAPSHOT.jar) containing the latest
XIN and XIS SMOS product schemas available on the date of the release, however new schemas releases may happen and this does not mean that a new version of the software shall also be distributed.
SMOS View has the possibility to replace the product schemas jar file with a newer version and the new products can instantanely be read. The process is very simple ; the user just need s to replace the old
“smos-formats-plugin-SNAPSHOT.jar” file with the new one.
The “smos-formats-plugin-SNAPSHOT.jar” is located in the directory where SMOS View was installed.
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In order to run SMOSView:
On Microsoft Windows: In the 'Start' menu, click on the SMOSView shortcut in the SMOSView group menu.
On an X Windows system (UNIX/Linux) or a BSD based system (Mac OS X): Open a terminal and cd in the SMOSView installation directory. Then type ./SMOSView.
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When SMOSView starts, a large window appears containing a menu bar, a tool bar and an area just
below known as a buffer, as shown in the Figure 1.
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Figure 1 SMOSView start window (From top to bottom: Menu bar, Tool Bar, Buffer)
A window may contain many buffers, and a drop down list at the top of the buffer area is used to switch
has to click on its label. In this example, the buffer selection box is labeled:
[FILECHOOSER] C:\SMOSView\SMOS TEST PRODUCT\L1A-L1B.
The buffer selection box could also be labeled [BROWSER] followed by the product name if a product is being browsed or [SMOSSVF] followed by the name of the product if the product is being studied with the Specific Visualization Features.
After more than one buffer has been opened, it is possible to come back to a dedicated buffer by clicking the buffer selection box located under the main window icons and selecting the buffer of interest.
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Figure 2: Buffer selection box
Multiple buffers can be displayed in the window at the same time, by splitting the window horizontally and or vertically. It can be done by choosing “Split horizontally” or “Split vertically” in the “Window”
menu of the menu bar (see Figure 3 and also Section 3.9, Window Menu Figure 8).
Figure 3: How to split window
Split window sections can be closed by “Unsplit” in the “Window” menu of the menu bar.
The same list of buffers is available in each split window section.
Multiple windows may also be opened (see Figure 4, where 4 window-areas have been opened), and
within each window, an independent list of buffers may be opened.
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Figure 4: Multiple (x 4) windows opening
A buffer is a SMOSView window containing a set of functionalities/tools associated with a product.
document, the user is able to use the SMOSView functionalities associated with the selected data product by opening a Lat/Long plot, a Plotter or an Image Viewer buffer.
The use of the Format Manager buffer does not require any product to be opened before using it.
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S M O S V i i e w b u f f f f e r s
Interaction with data files and the various tools and views provided by the application is through buffers.
The current version of SMOSView provides the following buffers:
File Chooser buffer – presents a view of the file system, and identifies compatible files that can be opened with SMOSView
Export to ASCII – allows to export selected data to an ASCII file (.txt extension)
Export to IDL – allows to export selected data to IDL (2 files are created with .pro extension and .dat extension)
NOTE: There is a limitation on the export IDL feature on variable size arrays. IDL export works correctly if only one pixel is exported. When more than one pixel is exported only the first N-
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New Browser buffer – presents a view of the contents of a data file.
New Chart – allows the user to plot data
SMOS Specific Visualization features – allows the user to analyze SMOS L1A, L1B, L1C and L2 products
New Format Manager buffer – presents a description of each of the file formats supported by SMOSView.
New Subset Selection buffer – allows the user to select a data set inside the product
Help – opens the user guide in HTML format
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After starting SMOSView, the default window appears which contains a single File Chooser buffer.
This allows one to navigate the file system and select a file that can be opened in the application.
At this stage, all the available menus are displayed, but many of the menu items are disabled.
To start viewing data, select a compatible file in the File Chooser, and open a buffer to view the contents
(via the toolbar or the buffer menu).
It is also possible to view format descriptions for compatible files via the Format Manager.
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S M O S V i i e w m e n u t t o u r
This section describes the menus available in SMOSView in version 1.5.2.
The File menu enables the user to open a File Chooser buffer or quit the program.
Figure 5: File menu
The View Menu enables the user to open a Browser buffer or a Plotter or specific visualisation features
Plotter and specific visualisation features will only be available if a compatible data file has been
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Figure 6 View Menu
The System menu enables the user to open the Format Manager buffer, providing a description of the formats contained within SMOSView, as well as a New Logger buffer, giving detailed information on the current SMOSView session as to memory usage, Java version and error reporting.
Figure 7 System Menu
The Window menu enables the user to open a new window, close a window, or split/unsplit a window.
Figure 8: Window Menu
Splitting a window is useful for working with more than one product, or visualizing an image and the related data product file at the same time. (i.e. two or more buffers simultaneously)
For example, a Format browser buffer and an Image Viewer buffer may be viewed side by side by clicking on the Split horizontally menu item, and then selecting the Image Viewer buffer in the second split section.
The sixth menu in the menu bar is buffer specific, it means it depends on the content of the current buffer. This 6 th
menu provides access to options specific to each buffer type:
When a file chooser is opened, the 6 th
menu proposes either to go to the home folder, or to the parent folder, or to refresh the current window :
When a browser is opened, the 6 th
menu proposes various options to visualize the content of the selected product: visualization mode selection (normal mode, flat mode, Hex mode, Semantic mode,
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When a Plotter buffer is opened, a Plotter menu appears. Depending on the selected field
(Plot/Series/Data), the selectable options are different. They could be: Add Plot, Add Series from product, Add XY series, Add data from file, Add data from product, Remove node, save template, export chart, or print chart:
When the specific visualization feature (SVF) buffer is opened, the 6 th
menu is not an SVF specific menu but the help menu:
The Help menu provides an access to the user guide (based on this document).
Figure 9: Help Menu
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After a buffer is opened, right clicking in a buffer will display additional context sensitive menu options, associated with that buffer as well as a shortcut to some the menus in the menu bar. For example after opening a Format Browser, right clicking in the buffer will display the following menu:
Figure 10: Right-clicking example
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Below the menu bar, a toolbar is provided as shortcuts for common tasks:
File chooser
Export to ASCII
Export to IDL
Format Browser
Plotter
SMOS Specific visualization features
New Subset Selection
HTML format description
User guide
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Figure 11: SMOSView Icons
Toolbar icons are only highlighted when the associated functionality is ready for use. For example, after opening SMOSView, the "Export to ASCII" is greyed, as there is no file open to export data from.
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S M O S V i i e w K n o w n P r o b l l e m s a n d
L i i m i i t t a t t i i o n s
Before the user starts to use SMOS View , it shall be clear that the tool have some limitations and some known problems specially on big product files. This section contains some important information related to these issues and will be updated along with the new releases of the tool.
The chart plugin have memory limitations, when the user tries to plot a variable from a product with a high number of points (more than 2 million) it is very slow and sometimes just freeze.
This happens on products such as LAI, AUX_SSS, AUX_DISTAN, and some L2 products.
In the browser plugin some indications that the data is loading is missing. Sometimes it is still loading data and no information is shown. This usually occurs on big product files.
The specific visualization panel has refresh problems, sometimes when the user tries to visualize
L2 flags they don’t appear in the world map, however if the user zoom an area the flags appear.
When the user try to use the specific visualization L2 data ( especially AUX DGG files) the specific visualization panel is loaded and became completely grey , user must resize the window view the content correctly.
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This chapter details the use of SMOSView for viewing products.
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In order to select a product for analysis in SMOSView, select a File Chooser buffer (one is opened by default at startup), or click on the "New Filechooser" icon.
Figure 12: New file chooser icon
Figure 13: File Chooser buffer
It is possible to navigate through to common directories using the “Home directory”, “Parent directory”, or “Drive selection” toolbar icons.
Home directory icon:
Parent directory icon:
Refresh view icon:
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Figure 14: File chooser icons
The “Refresh view” icon enables the user to update the view of the current folder if a file has been added/deleted from/to the folder since list was first displayed. The location bar provides the location of the selected directory/file. Folders are highlighted with a blue icon.
Figure 15: Folder icon
Double click on a folder to view its contents. Use the Parent directory toolbar icon to go up to the directory level above the current list.
Once the data is located, files compatible with SMOSView are highlighted with the following icon:
Figure 16: Compatible file icon
It is then possible to select the data of interest by simply clicking once on the file of interest. Once the file is selected, it is highlighted in yellow.
To open a compatible data, the user has to double click on its name. The data will then be automatically
opened in a new Browser buffer, displaying the content of that file (see section 4.3).
After selecting a product, a user can browse through its content using the format browser.
To open a file, the user can either double click on its header name (.HDR) or on its data block name
(.DBL).
It is also possible to browse some intermediate products such as CORN1A and UNCN1A in EEF format. In this case SDV automatically generate the corresponding HDR and DBL files allowing the user to browse the content.
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In order to view format descriptions of compatible data files, click on the "New FormatManager" icon.
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Figure 18: Format manager buffer
The FORMAT MANAGER buffer contains the list of file formats that are recognized by SMOSView and potentially multiple versions of each format.
The version gives the global version of the format, not the header or the datablock version.
The list is obtained by inspecting the formats shipped with SMOSView, therefore the list is always in line with the list of products that can actually be read using SMOSView.
Double click on any of the formats to visualize the detailed description.
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Figure 19: HTML format description example
Format information is available as a hierarchy, through which one navigates by clicking on blue links
“Details”, similar to a web page.
Once the “Details” page opened, it is also possible to navigate through the format descriptions using the
"Previous page", "Next page", or "Reload page" toolbar icons placed in the top left corner of the window.
Figure 20: HTML format description navigation icones
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the product file, or clicking once on the highlighted "New Browser" icon.
Figure 21: New Browser icon
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Figure 22: Browser buffer example
The Browser buffer has a number of display modes; Normal mode, Flat mode, Hex mode, Semantic mode and Tabular mode. By default, the Browser buffer opens in Normal mode.
The buffer is divided in two panes: On the left-hand side we find a hierarchical view of the content of the file and on the right-hand side, we find the content of selected parameter or structure, and interpretation of the field values and description.
A tool bar is displayed at the top of the buffer with a number of toolbar icons to allow switching between the different modes and navigating through the selected file.
Normal mode
Flat mode
Hex mode
Semantic mode
Tabular mode
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Parent element
Previous element
Next element
Previous cousin
Next cousin
Print browser panel
Figure 23: Data browsing icons
There are two types of icons within the browser window:
Representing a data container.
A data container can contain other data containers or leaf nodes.
Representing a leaf node, containing data.
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The user can search for a field name or a value within the product with the search function at the bottom of the browser window.
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One single click on a container (blue-folder icon) in the left-hand pane will display the content of the container in the right-hand pane.
Double clicking on a container in the left-hand pane will provide the content of the container in the right-hand AND left-hand panes.
It is also possible to browse through a product with one single click on the tree opening symbols associated with a data container in the left hand pane:
tree opening symbol
Clicking on a leaf node in the left-hand pane will provide a view of the parent node in the right-hand pane; the selected leaf node will be highlighted in the right-hand pane.
It is also possible to visualize the content of a container by double clicking on it in the right-hand pane.
In this case, the container is highlighted in the left-hand pane.
It is possible to browse through the product using the “Parent element”, “Previous element” and “Next element” icon. Using the “Next” and “Previous” icons enables the user to view the next or previous element within a container. Using the “Parent” icon enables the user to view the higher-level data container.
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In the context of SMOSView, two cousins are data containers or leaf node belonging to a repeated structure within a data block. It is also possible to browse through the products clicking the Previous cousin and Next cousin Icons. When a leaf node or data container is selected within a data block, clicking on the next/previous cousin will provide same leaf node or data container view of the next/previous data block.
Example: for a SMOS L1B data product, the user selects and clicks on the Snapshot_ID in a container
“binary-data/Data_Block/Temp_Snapshot_dual/ Temp_Snapshot_dual/item 7”.
=> Clicking on the Next cousin icon, SMOSView will show the Snapshot_ID of “binarydata/Data_Block/Temp_Snapshot_dual/ Temp_Snapshot_dual/item 8”.
When a leaf node is selected, the location bar provides the path to the higher-level container. When a container is selected, the location bar provides the path of the container within the product.
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“Interpreted data” are elements of a data file whose numerical value is translated into human readable form.
For example, considering a SMOS L1B product, in the container:
“binary-data/Data_Block/Temp_Snapshot_dual/ Temp_Snapshot_dual/item 7”, the field “Flags” is interpreted. The field can have a number of integer values, but SMOSView is capable of decoding the meaning of those values. For instance the value 0 corresponds to H (horizontal polarization).
The same applies to an other field in this container: for example Snapshot_Time (day 2610 has been interpreted as 23-Feb-2007).
In the right-hand side window, interpreted data appear within a yellow box:
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Figure 24: Interpreted data representation
Interpreted data can apply to leaf nodes or containers.
For example, in the SMOS L1B data product, the Snapshot_Time container, consists of 3 fields: Day,
Seconds, and Microseconds, but can be interpreted as a human readable time.
It is also possible to read the numerical value associated with an interpreted data when a data container is interpreted. Double-click on the data container, SMOSView will display the numerical value of the interpreted fields. Clicking back on the parent data container changes the field back to the interpreted value.
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If SMOSView expects to read an integer, and read an unsigned integer the product, it is flagged in the following way:
Figure 25: Ignored data flag
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Data selected in “Normal” mode can be visualized in other modes using the icons placed on the top left hand side of the BROWSER.
"Flat mode”:
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If a container is selected, all data within the container are displayed in the right-hand pane down to the lowest leaf level in a hierarchical order. If a leaf node is selected, the parent container is displayed in flat mode in the right-hand pane.
Figure 26 Flat Mode
"Hex mode”:
In Hex mode the whole product file is displayed in hexadecimal format in the right-hand pane. The data selected in the browse tree is also highlighted in yellow in the right hand pane.
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Figure 27 Hex Mode
“Semantic mode”:
This mode shows all the semantic data contained within a field of interest. In the case of SMOSView, it should not be useful, except for L3 or L4. The semantic data is limited to images. If a product or a subset of a product contains an image, clicking on the semantic mode icon will display the available images and related channels in the right-hand pane.
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Figure 28: Semantic mode display
Using the semantic mode, it is possible to open an Image Viewer buffer by selecting one or more channels from the right-hand pane. The user can select to visualize a single channel of interest with a simple mouse click. To select multiple channels of interest hold the “Ctrl” key pressed and click on the additional channels until they are highlighted.
“Tabular mode”:
To use this mode, the user needs to select a sequence of data or an array (which could be a data container).
The tabular mode allows to visualize all the selected values (or the values contained in the array) in a
table that may be transposed (see Figure 29).
To transpose the matrix, click on the upper left cell labeled “tt”.
The elements of the transposed table (see Figure 30) can be copied/pasted in another application.
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Figure 29 Tabular Mode
Figure 30 Transposed table from the tabular mode
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The Export to ASCII can be performed in two ways:
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In order to export a product subset to an ASCII file, it is first necessary to select the data of interest inside a Browser buffer.
When the Browser is in “Normal mode” or “Flat mode”, use the right-hand pane to select containers and/or leaf nodes of interest that you would like to export.
To select multiple items, hold the “Ctrl” or “Shift” key while selecting containers and nodes. (CTLR +
Click for selecting non-consecutive items, Shift for selecting consecutive items).
Upon pressing the "Export to ASCII" icon in the toolbar , an "Export to ASCII" dialog box appears allowing you to perform an ASCII export.
Figure 31: "Export to ASCII" dialog box
You can then choose to perform a Hierarchical export or a Tabular export.
With the Hierarchical export, the user can choose to export:
the element name
the element offset
the element value
the element unit.
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Figure 32: ASCII export example
The example in Figure 32 shows the type of output that is produced by the "Export to ASCII"
Hierarchical option. Note that the file has a ".txt" extension.
With the Tabular ASCII, the user has the possibility to select the separator type as well as inserting a column header or not. The Tabular ASCII is very useful if the user wants to export its data in Excel for example. In that case, the user should set as a separator a single comma “,” and then save the file in the csv format. The user can then open the saved file using Excel.
It is important to notice that the Tabular ASCII export function needs to be used with properly selected coherent data. If you try to export a two dimensional array structure over a repeated number of data blocks along with data contained in the product header for example, there is no guarantee that the export will be satisfactory. On the contrary, if the selected data is coherent, i.e. the selected data is of the same hierarchical level, and containing no dummy data, the Tabular export to ASCII is the perfect tool for allowing further processing with other tools.
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It is also possible to select the data to export clicking on the “New Subset” icon. Select a file in the File
Chooser (section 4.1) and click on the “New Subset” icon. The following Window appears:
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Figure 33: Subset selection Window.
On the top left hand side window area, the user can find the following Icons:
Figure 34: Subset selection icons.
The user can then click on the New Subset blue icon : he has to enter a name for the new subset to be created and click OK:
Figure 35 New subset dialog box
Then the product structure will appear in the right-hand side window. The user can then select and browse through the product structure and select the data to export simply clicking in the selection box
attached to the data to be exported (see Figure 36).
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Figure 36: Selected data for export example
34: Subset selection icons. The saved subset will be available next time the user opens the product.
When a product is made of repeated data structures, you can use scroll bars at the bottom of the selection window to select the subset of data to export, as shown in the example below:
Figure 37: Selection of data with scroll bars
The selected data product contained 2791 Scene_BT_Fourier items. For the scroll bars to be available, the user needs to click on the item array container Scene_BT_Fourier [1..2791] selection box. This
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To complete the export, the user must click on the Export to ASCII Icon in the tool bar and proceed in the same way as described in the previous paragraph.
Once more, the user must select data carefully to perform a valid Export in a Tabular format.
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SMOSView allows the user to perform 2D and 3D plots using the 2D plotter buffer and the 3D plotter buffer.
In order to avoid out of memory issues caused by the chart plugin, the maximum number of points that is possible to plot is limited to the first 600.000. If the user tries to plot a variable with a higher number of points a warning message is displayed and the limited plot is produced.
NOTE: It shall be noted that in versions of SDV prior to 1.5.2 the data is loaded in memory and then displayed. Any change on the display preferences will imply a reload of the data into memory.
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In order to use the 2D plot, the user must select first a file using the File Chooser buffer as presented in section 4.1 of this document.
The user can then click on the New Chart Icon ; the following window appears:
Figure 38: Plot default window
The following icons are available on the top left hand side of the plotter window:
Figure 39: Plotter buffer icons
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From left to the right, the following Icons provide the following functions:
Add plot
Add Series from Product
Add XY Series
Add data from File
Add data from Product
Remove Node
Save template
Export Chart
Print Chart
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In the “Plot Templates” Box (Figure 40), the user must click on the magnifier icon
then “Serie_1”, then “Data_1”.
of “Plot_1”,
Figure 40 Plot Templates box
A new panel, the “Data Panel” box becomes active (Figure 41), below the Plot Templates box.
Figure 41 Data Panel
The user must browse inside the data to select data field of interest to be plotted with the Product Tree
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Figure 42 Product Tree
While browsing the data deep inside the “Product Tree” another panel becomes active, which is the
“Chart Panel” (big window in the middle). It corresponds to the panel where the plot is displayed, as
The plotter will then try to display the selected data field. If the selected data field is contained within a repeated structure inside the data product file, the plotter will show the selected data field value against the repeated data structure index.
If the data field is contained inside two subsequent repeated data structures, the user has the option to select the index of one data structure or the other.
Figure 43 Plot screen - Chart Panel
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Let’s have a look at the following example:
Let’s assume that the field Y_TO_PLOT is contained within an array or structure called
CONTAINER_LEVEL_A of size N. Let’s assume that CONTAINER_LEVEL_A is contained within an array or structure CONTAINER_LEVEL_B of size M and so on.
CONTAINER_LEVEL_C 1
CONTAINER_LEVEL_B 1
CONTAINER_LEVEL_A 1
Y_TO_PLOT 1
Y_TO_PLOT 2
Y_TO_PLOT 3
…..
Y_TO_PLOT N
CONTAINER_LEVEL_A 2
Y_TO_PLOT 1
Y_TO_PLOT 2
Y_TO_PLOT 3
…..
Y_TO_PLOT N
…………..
In such a case, the user may want to plot:
Y_TO_PLOT data can be plotted against indices of the CONTAINER_LEVEL_A 1 array
Y_TO_PLOT 1 can be plotted against CONTAINER_LEVEL_A 1, CONTAINER_LEVEL_A 2 and so on.
Y_TO_PLOT 1 of CONTAINER_LEVEL_A 1 can be plotted against CONTAINER_LEVEL_B
1, CONTAINER_LEVEL_B 2 and so on.
Y_TO_PLOT of CONTAINER_LEVEL_A 1 in CONTAINER_LEVEL_B 1 can be plotted against CONTAINER_LEVEL_C 1, CONTAINER_LEVEL_C 2 and so on.
In all cases, the “Array” menu will offer the possibility to select different (X, Y) data sets at the following level of the data block: CONTAINER_LEVEL_A, CONTAINER_LEVEL_B or
CONTAINER_LEVEL.
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Figure 44: Array Panel
The user can also select the index range using the sliders under the array index selection box to modify the selected data. To change the slider position, set the mouse cursor over the slider icon, click left with the mouse and maintain the button clicked, drag then left or right the mouse.
Figure 45: Data value against data container index
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The user can create an XY plot with data contained inside the product data file:
First, repeat the previous steps to select data to be set on the X axis.
To select data to be set on the Y axis, click on the Serie_1 Icon
, click then on the “add data from product” icon
. A Data_2 icon appears in the Plot Templates box, and the Plot_1 icon
changes as well to the “add XY series”. See Figure 46.
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X
Y
Figure 46: XY series Plot template
The user must then browse through the product tree to set data on the Y axis just as he did for the X axis, opening and browsing through the product tree.
Note that X-axis data always corresponds to the first (upper) icon in the Series list and the Y-axis always corresponds to the lower one.
Figure 47: XY series example
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With the SMOSView data plotter, it is possible to import numerical data stored in a file on a computer.
If the user clicks on the Plot_1 icon appears:
, and then clicks on the add XY series , the following
Figure 48: XY series with external data
The Data_3 icon corresponds to X-axis data that must be imported from an external data file.
In this example, let’s click on the Data_3 icon: The following menu appears:
Figure 49: Import file menu
The user can then Click on the “Browse” tab and select a file containing numerical values. Data to be imported must be contained in an ASCII file with one single value per line.
As an example, let’s import the following file:
Figure 50: Import file example
The user can then complete the plot by clicking on the Serie_2 icon and then on the “Add
Data From Product Icon”
to select data to be set on the Y-axis as described in the previous section.
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Data can also be imported on the Y-axis. When the plotter is in the configuration described in section
5.1.2, instead of clicking on the “Add Series From Product” icon, the user can click on the “Add Data
From File”
icon and follow the same steps described here above to import the data file.
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The user can visualize several plots in the same chart within the Plot_1.
He must select the first series with the product tree following the steps detailed previously.
He will add another series in the chart by clicking on Plot_1 icon , and then clicking on the
“Add Series From Product” icon
. The user can follow the steps for data selection with the product tree as described in the section here above.
The user can see the resulting plots on the same graph by clicking on the Plot_1 icon .
Figure 51: Multi Plot example
For the multi-plot to be available and easy to read, the user shall take care about the data selected on the
X-axis and make sure that the ranges and X-axis units are coherent. For example, if the user creates a first curve whose X-axis values range from 1 to 10 (Index), and a second plot whose values range from
–100000 to +49000 (mm), there will be a visualization issue on the multi-plot display.
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As a rule, the multi-plot will use the unit (or index) of the first plot created within the Plot_N template and only show those curves whose unit (or index) is the same as the first plot.
Data on the Y-axis can be of any unit, the corresponding scale will be shown on the right hand side of the multi-plot.
The user can create any number of multi-plots by clicking on the “All plots” icon and then clicking on the “Add Plot” icon.
Figure 52: All plots icon
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The user can easily remove individual plots, by clicking on the plot icon (typically, Serie_N icon) and then clicking on the “Remove Node” icon.
Figure 53: Remove Node icon
He can also remove entirely a plot (typically, Plot_N icon), and click on the “Remove Node” icon.
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S a v i i n g a p l l o t T e m p l l a t e
The user may want to be able to plot the same data fields using different product files of the same type.
SMOSView allows the user to save a plot template and reuse it with other data products of the same type.
To save a plot template, click on the “All plots” or “Plot_N” icon and then on the “Save Template” icon.
Figure 54: Save Template Icon
The next time the user opens the data plotter buffer, the plot templates will be automatically loaded in the “Plot Templates” box and the related plots available for visualization.
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Plot settings are easily configurable.
Plot name:
Although the data container names (Plot_L, Serie_M, Data_N) are auto-generated, the user can change these names by clicking on the related icon the new desired, entering the name in the Title box and pressing enter.
Figure 55: Title renaming example
When the plot is renamed, the new name will appear on top of the plot.
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NOTE: The names shall be different between all chart panels otherwise the references to the panels will be lost. This issue will be corrected on future release of SDV.
Plot color:
The user can also change the plot color, clicking on the Serie_N icon, the color menu appears.
Figure 56: color setting menu
Clicking on the Browse tab allows the user to select a color from the color table.
When setting the title color, the following dialog appears:
Figure 57: Plotter properties color setting
Select a color by clicking on one of color boxes. Then press OK to set the title to the selected color.
Clicking on the HSB tab, the following dialog appears:
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Figure 58: Plotter HSB color setting
The user can then set HSB color components by clicking in the H, S, or B menu box. To select the appropriate value, the user must maintain the left mouse button pressed on the cursor and drag it up or down.
Clicking OK will apply the color settings to the title.
Clicking on the RGB selection box will cause the following menu to appear:
Figure 59: Plotter RGB color setting
The user can then set the RGB components of the color by dragging the RGB cursors using the mouse button.
Clicking Ok will apply the color settings to the title.
Zoom in / Zoom out:
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It is possible to “Zoom-In” on a graph by clicking in the graph pane, maintaining the left mouse button clicked and dragging the mouse cursor down and to the right. The zoom-out can be performed dragging the mouse cursor upwards and to the left while maintaining the left mouse button clicked in.
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This section presents the L1A specific visualization features implemented by SMOSView. There are two L1A visualization features: the L1A visibility matrix and the star domain representation. The L1A specific visualization features apply only to the following L1A products:
L1A products
SM_XXXX_MIR_AFWD1A
SM_XXXX_MIR_AFWU1A
SM_XXXX_MIR_CRSD1A
SM_XXXX_MIR_CRSU1A
SM_XXXX_MIR_FWSD1A
SM_XXXX_MIR_FWSU1A
SM_XXXX_MIR_SC_D1A
SM_XXXX_MIR_SC_F1A
SM_XXXX_MIR_TARD1A
SM_XXXX_MIR_TARF1A
SM_XXXX_MIR_UAVD1A
SM_XXXX_MIR_UAVU1A
SM_XXXX_MIR_UNCD1A
SM_XXXX_MIR_UNCU1A
Table 3 L1A products to which L1A Specific Visualization Features apply
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In order to use the L1A visibility matrix, the user must select first a L1A product file using the File
Chooser buffer as presented in section 4.1 of this document.
The user can then click on the SMOS Specific Visualization Features Icon, the following window appears:
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Figure 60: L1A visibility matrix example
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The plot shows four rectangular matrixes representing the complex data displayed in the Data Field drop down menu, in this case CALIB_VISIB. The plot corresponds to the L1A calibrated visibilities presented in the SMOS Level 1 and Auxiliary Data Products Specifications. The plots show:
Upper left plot: Real part of the complex L1A data
Upper right plot: Imaginary part of the complex L1A data
Lower left plot: Amplitude of the complex L1A data
Lower right plot: Phase of the complex L1A data
Four rectangular matrixes are displayed, one matrix per real / imaginary / amplitude or phase of the complex number selected by the drop down menu of the selector field. The lower part of each matrix is filled out with the complex conjugate part of the upper part. Each value extracted from the product is represented using a grey level scale.
NOTE:
In the case of CRSx1A products, the Amplitude matrix shows the consolidated averaged FWF Origin amplitude (Cons_Ampl_FWF_Origin), and shall consist of 1 data set record. This structure shall
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(FWF Origin amplitude only).
The Phase matrix shows the Cons_Phase_FWF_Origin structure consisting in a number of data set records with parameters obtained after correlated noise injection in odd and even sources during FWF
Origin or Local Oscillator Calibration Sequences. There shall be as many Data Set Records as LO Phase
Tracking events plus FWF Origin Sequences.
User will be able to navigate through all the phase measurements, however the Amplitude shall remain constant.
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It is possible to “Zoom-In” on a graph by clicking in the graph pane, maintaining the left mouse button clicked and dragging the mouse cursor down and to the right. The zoom-out can be performed dragging the mouse cursor upwards and to the left while maintaining the left mouse button clicked in.
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H i i d e p a r r a m e t t e r r s s t t o m a g n i i f f y v i i s s u a l l i i z e d d a t a
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Each feature has such a magnifying glass sign before: . The user can hide/unhide the functionality’s parameters by clicking on this magnifying glass. It allows the user to save space on the screen to better observe the data. When the functionality’s parameters are hidden the icon slightly turns:
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Figure 61: Plot Type drop down menu
The user can select two different plot types using this drop down menu, Square Matrix or Star Domain visualization.
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Figure 62: Snapshot setting details
Snapshot settings give information concerning the current snapshot to the user:
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Universal Time Coordinated (UTC) of the snapshot
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Polarization of the snapshot (H: Horizontal, V: Vertical)
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Data field: plotted data fields are predefined. In the case of MIR SC D1A, the L1A specific visualization features, only the data field CALIB_VISIB is available. But the user can select a
UNC 1A product. In this case, the Data field drop down menu offers two predefined data fields to be visualized using the L1A specific visualization features: MEAN_OFFSETS and
UNC_OFFSET_CORRECTION. The user simply needs to click on the data fields he wants to visualize.
Figure 63: Data field drop down menu example
- Title settings: allow the user to overwrite the title displayed above the real, imaginary, amplitude, and phase matrices. It is useful especially to export these matrices towards various formats (see next paragraph).
In the release 1.6.0 of SDV it has been included in this panel further more information regarding the product.
MIR_UAVx1A
Start_Time, Stop_Time, Correlator_Layer, Samples, Software_Error_Counter,
Instrument_Error_Counter, ADF_Error_Counter, Calibration_Error_Counter
MIR_CRSx1A
Start_Time, Stop_Time, Correlator_Layer, Samples, Time_From_ANX ,Software_Error_Counter,
Instrument_Error_Counter, ADF_Error_Counter, Calibration_Error_Counter
MIR_SC_x1A / MIR_TARx1A
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Snapshot_Time, Snapshot_ID Snapshot_OBET , Antenna_Boresight, Max_Mkj_module, X –Band,
Software_Error_flag, Instrument_Error_flag, ADF_Error_flag, Calibration_Error_flag
MIR_SC_x1B / MIR_TARx1B
Snapshot_Time, Snapshot_ID Snapshot_OBET , Antenna_Boresight, X
–Band,
Software_Error_flag, Instrument_Error_flag, ADF_Error_flag, Calibration_Error_flag
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Figure 64: Value Details display
When the user drags the mouse over the plot, the complex values corresponding to the point under the mouse cursor are displayed in the Value Details box.
R: real part; I : Imaginary part; M: Magnitude (Amplitude); P: Phase.
X and Y are the line and column number.
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The user can use the Export box to export the displayed screen in various image, postscript, or PDF formats.
Figure 65: Export Box
be created, and the format to which you would like to export the matrices. An example of the JPG result
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Figure 66 Export formats
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Figure 67 JPG export result
The user can step through the product and visualize consecutive snapshots contained inside the product, as explained at the end of this section. One way of identifying snapshots is the OBET, associated with a snapshot.
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The matrix values are displayed using a grey level scale, but the user can use color tables to display matrixes using false color. Clicking on the Color Tables tab in each matrix will display a predefined selection of color tables:
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Figure 68: Color Tables menu
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Figure 69: Color table example
Clicking on the selected color table will assign the selected color table to the plot. The matrix plot is then updated.
Figure 70: L1A matrix representation using a color table
The user can visualize the color scale just next to the plot, by ticking the box “Display color scale in
The user can display or not this color scale in the plot by ticking / unticking the option. It allows the user to save screen space to visualize the data.
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Figure 71 “Display color scale in plot” selected
The user can also select the minimum and maximum of the range to be displayed within the color table:
- by moving the sliders located above and below the table color or
- by entering new minimum and maximum values in the box and pressing “Enter”
- by entering new minimum and maximum values and selection “Scale” option. This way the color values will be redefined according to the user defined range instead of the minimum and maximum of the product.
An example of the same matrix than above is given in Figure 72, instead of the whole range [-6.427;
2.978], only the values between 1 and 2 (see color scale in plot) are displayed within the whole dynamic of the color scale.
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Figure 72 Min and max color scale range selection
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The user can step through the data product and plot the next snapshot using the slider at the bottom of the plot. The user can also use the two buttons “-“ / “+” to step through the product and visualize consecutive snapshots.
Figure 73: Snapshot slider
To use the slider, click with the left mouse button on the slider, maintain the button clicked and drag the mouse cursor along the slider bar. To use the - / + buttons to step though the product and see consecutive snapshots, click on the – or + buttons.
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Using the Plot Type tab, select the Star Domain visualization, the following plot appears:
Figure 74: Start Domain visualization example
The plot shows Start Domain representation of the selected Data Field (in this case CALIB_VISIB).
The features available for the “star domain visualization” are the same as the ones available for the
“square matrix” representation:
Zoom in / Zoom out: see page 62
Hide parameters to magnify visualized data: see page 62
Functions on the left hand side pane are the same:
Plot Type: see page 62(To Change to Spatial Representation)
Snapshot and title settings: see page 63
Export to image or postscript formats: see page 64
The Color Table function under each plot is also the same: see page 65.
The Stepping through the product with the Snapshot slider is also the same: see page 68.
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This section presents the L1B specific visualization features implemented by SMOSView. There are two L1B visualization features:
- the Fourier components of Brightness Temperature (BT) representation (or L1B star domain)
- the reconstructed BT (or L1B spatial representation)
The mathematical details associated with these representations are fully detailed in the SMOSView specification document. The L1B specific visualization features apply only to the following L1B products:
L1B products
SM_XXXX_MIR_SC_D1B
SM_XXXX_MIR_SC_F1B
SM_XXXX_MIR_TARD1B
SM_XXXX_MIR_TARF1B
Table 4 L1B products to which L1B Specific Visualization Features apply
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In order to visualize the Fourier components of BT, the user must select first a L1B product file using
the File Chooser buffer as presented in section 4.1 of this document.
The user can then click on the SMOS Specific Visualization Features Icon , the following window appears:
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Figure 75: L1B Fourier Components of BT example
This plot is of the same type as the Star Domain plot for L1A.
The controls associated with this plot are the same than the previous ones:
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Zoom in / Zoom out: see page 62
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Hide parameters to magnify visualized data: see page 62
Functions on the left hand side pane are the same:
For L1B data, the plot type menu allows the user to switch between Fourier Components of BT representation and the spatial reconstructed BT:
Figure 76 L1B Plot type menu
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Snapshot and title settings: see page 63
Export to image or postscript formats: see page 64
The Color Table function under each plot is also the same: see page 65.
The Stepping through the product with the Snapshot slider is also the same: see page 68.
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L 1 B R e c o n s t t r u c t t e d B r i i g h t t n e s s T e m p e r a t t u r e
Using the Plot Type menu, the user can select the Spatial Representation of L1B: “Reconstructed_BT”.
This plot type is not a simple visualization of L1B data but show features that have been derived from the L1B data by a procedure described in Appendix C.
Figure 77: L1B Spatial Representation example
The reconstructed BT plot type shows four hexagonal spatial representations of the L1B complex data field displayed in the Snapshot Settings box.
The controls associated with this plot are the same than the previous ones:
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Zoom in / Zoom out: see page 62
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Hide parameters to magnify visualized data: see page 62
Functions on the left hand side pane are the same:
Snapshot and title settings: see page 63
Export to image or postscript formats: see page 64
The Color Table function under each plot is also the same as for L1A: see page 65.
The Stepping through the product with the Snapshot slider is also the same: see page 68.
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This section presents the L1C specific visualization features implemented by SMOSView. The L1C specific visualization features apply only to the following L1C products:
L1C products
SM_XXXX_MIR_SCLD1C
SM_XXXX_MIR_SCSD1C
SM_XXXX_MIR_SCLF1C
SM_XXXX_MIR_SCSF1C
SM_XXXX_MIR_BWLD1C
SM_XXXX_MIR_BWLF1C
SM_XXXX_MIR_BWSD1C
SM_XXXX_MIR_BWSF1C
Dual Polarization reconstructed BT swath
Full Polarization reconstructed BT swath
Browse BT products
Table 5 L1C products to which L1C Specific Visualization Features apply
Note from the SMOS Level 1 and Auxiliary Data Products Specifications:
The dual polarization reconstructed brightness temperature swaths are L1C products obtained from
L1B products in dual polarization mode. It is organized in grid points (belonging to the Digital
Global Grid DGG).
The full polarization reconstructed brightness temperature swaths are L1C products obtained from
L1B products in full polarization mode. It is organized in grid points (belonging to the Digital
Global Grid DGG).
The Browse Brightness Temperature L1 data products are arranged in pole-to-pole swaths according to ascending and descending passes. Each grid point contains a brightness temperature sample interpolated from MIRAS measurements at an incidence angle of 42.5º.
The values of the Incidence Angles, Azimuth Angle, Faraday Rotation Angle and Geometric
Rotation Angle are now presented in Engineering units in the Browser and also in the Visualization panel.
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In order to use the L1C Dual polarization specific visualization features, the user must select first a L1C dual polarization product file using the File Chooser buffer as presented in section 4.1 of this document.
The user can then click on the SMOS Specific Visualization Features Icon , the following window appears:
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Figure 78 L1C Specific Visualization Feature Window
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On the left panel, there are several controls. The upper left one is the plot type. For L1C products, there are two options: Pixel Attributes Projection or Measurement Counter Projection, as shown in the Plot type menu below:
Figure 79 L1C Plot Type Menu
In case of Pixel Attributes Projection, it is possible to select the field to be plotted, and to request its projection for a given snapshot or for a given range of incidence angle. The relevant field to be plotted
In case of Measurement Counter Projection, there is no selection of incidence angle nor snapshot. The value displayed gives the number of snapshots in the product over each grid point.
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WARNING: For big products (around 250 Mb) the time needed to project the data is quite long…
Please be patient!
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By default, the selected plot type is pixel attributes projection. It allows the user to visualize all the following L1C fields projected on the Earth map:
- FLAGS: indicate the polarization (H: Horizontal, V: Vertical),
- SNAPSHOT_ID: Unique identifier for the snapshot,
- BTVALUE: Brightness Temperature value over the current Earth fixed grid point (in K),
- RAD_ACC PIX: pixel radiometric accuracy
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Azimuth angle (0º if local North)
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Incidence Angle (0° if vertical)
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FARADY ROT ANGLE: Faraday Rotation Angle
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GEO ROT ANGLE: Geometric Rotation Angle
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Footprint axis 1: Elliptical footprint major semi-axis value.
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Footprint axis 2: Elliptical footprint minor semi-axis value.
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Footprint ratio: Ratio between footprint axis 1 and footprint axis 2.
Even if selected by default, to visualize such parameters projected on the Earth, the user must select it
by the “Attributes” drop down menu:
Figure 80 L1C Attributes Drop Down Menu
The value of the selected attribute is given inside the main pane in a little box next to the pixel covered by the mouse and the value is updated (with a less than 1 second refreshing time) when the mouse moves. After some 4 seconds over the same pixel, the value and the little box disappear, they can be
visualized again by moving the mouse. See example in Figure 81.
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All the pixels displayed in this figure refer to the same snapshot selected from the GUI.
The values of the field plotted correspond to the polarization of the snapshot. The polarization of the product is displayed lower part of the window, below the Snapshot ID.
Figure 81 Example of L1C BT value field displayed. All pixels displayed refer to the same snapshot (100619).
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When the mouse is moving through the projected data, the “Geo Tools” give the user useful geographical information about the current mouse position: Latitude, longitude, and about the grid information: Grid ID, grid latitude, grid longitude, and grid mask.
Note: the latitude/longitude grid information gives the position of the center of the grid ID, while the
“geo info” gives the exact cursor latitude/longitude.
Figure 82 L1C Geo Tools Box Details
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The default projection used is the Mercator projection. However, it is possible to visualize the data through other geographical projections such as Orthographic (North/South) or Gnomonic projections.
For example if data are located northern than 50° latitude North or southern than 50° latitude South, it is
selected through the Projections drop down menu:
Figure 83 Projections Drop Down Menu
Figure 84 North Orthographic projection example
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The L1C products are displayed using a grey level scale, but the user can use color tables to display L1C product using false color. Clicking on the Color Tables tab will display a predefined selection of color tables:
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Figure 85 Color Tables Menu
Clicking on the selected color table will assign the selected color table to the plot. The plot is then updated.
The color range is loaded by default with the Min and Max values calculated directly from the points displayed on the map, however the user can set those values using the Min and Max text fields and then clicking on the “Scale” tick box. Afterwards the points are redisplayed according to the new range.
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The user can use the Export box to export the displayed screen in various image, postscript, or PDF formats.
be created, and the format to which you would like to export the matrices. An example of the JPG result
Figure 86 Export Box
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Figure 87 Export formats drop down menu
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It is possible to “Zoom In”, to “Zoom out” on the product, and to move in each direction by using the
zoom in / out/ around tool (Figure 88):
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Zoom in: use the (+) magnifier (upper one) OR without the tool: directly in the graph pane maintain the left mouse button clicked and drag the mouse cursor down and to the right
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Zoom out: use the (-) magnifier (lower one)
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Go to the North / South: use the upper / lower arrow
- Go to the West / East: use the left / right arrow
- Center the plot on 0° latitude; 0° longitude: click on the point in the center of the tool.
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Center the plot on a point within the map: left-click once over the desired center
Figure 88 L1C Zoom in / out / around Tool
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The user can step through the data product and plot the next snapshot using the snapshot IF slider at the
bottom of the plot (Figure 89). The user can also use the two buttons “-“ / “+” to step through the
product and visualize consecutive snapshots. The user can also visualize only the data corresponding to the polarization of choice. Values for full polarization products are: HH, VV, HV_Real and HV_Img.
Values for dual polarization products are HH and VV.
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Figure 89 L1C Snapshot ID selector box
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The polarization information is given inside the snapshot ID selector box. For L1C dual product, the polarization can be HH or VV.
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The user can select a range of incidence angle (0° if vertical incidence) by filling the L1C incidence
angle selector (Figure 90). The unit of the angle selector is millidegree (10
-3
degree), it means the same unit used inside the product. To define the incidence angle range, the user has to enter a minimum, a maximum value and the “central value”. In case multiple values fit inside the [min, max] range for a single pixel, the application will choose the data that are the nearest to the central value. To display only the data acquired with an incidence angle within the range, the user has then to click on “Display”.
Additionally, the user can narrow down the number of points to visualize by selecting the desired polarization. Values for full polarization products are: HH, VV, HV_Real and HV_Img. Values for dual polarization products are HH and VV.
Once the user has selected an incidence angle range, the image will display all the pixels of the file having the incidence angle within the range.
Figure 90 L1C Incidence Angle Selector
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WARNING: For big products (around 250 Mb) the time needed to project the data is quite long…
Please be patient!
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If the user selects the “Measurement Counter Projection” plot type, he will then visualize the field
“Counter” of the Swath_Snapshot_List data set. The field “Counter” specifies the number of Data Set
Record contained in it.
The value displayed in the small box when moving the mouse over the product gives the number of
snapshots in the product over each grid point. An example of such a counter is given in Figure 91.
Figure 91 Measurement Counter Projection L1C example
Note: The lower control pane for “Measurement Counter Projection” plot type only has the zoom in / out / around control.
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L 1 C F u l l l l p o l l a r i i z a t t i i o n v i i s u a l l i i z a t t i i o n
In order to use the L1C Full polarization specific visualization features, the user must select first a L1C
Full polarization product file using the File Chooser buffer as presented in section 4.1 of this document.
The user can then click on the SMOS Specific Visualization Features Icon , to use these features.
The L1C full polarization visualization features are exactly the same as the ones described in the
previous L1C dual polarization specific visualization features section. Please refer to section 8.1.
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The only parameter that changes compared to L1C dual product is the polarization. This information is also given inside the snapshot ID selector box. For L1C full product, the polarization can be HH, VV,
HV_real or HV_imaginary.
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B r r i i g h t t n e s s s T e m p e r a t t u r r e s s S p e c i i f f i i c P l l o t t
Once a brightness temperature map is obtained there is the possibility to display a graph showing the evolution of the BT vs the incidence angle for a selected grid point. This grid point is selected through the left click of the mouse.
Figure 92: BT vs Incidence Angle Selection Menu
There is the possibility to plot three different types of chart:
1. BT ToA: Brightness Temperature on Top of Atmosphere vs Incidence Angle
2. BT ToA + GR: Brightness Temperature on Top of Atmosphere with the Geometric Rotation vs
Incidence Angle.
3. BT ToA + GFR: Brightness Temperature on Top of Atmosphere with the Geometric Rotation and Fararday Rotation vs Incidence Angle
The of the geometric and faraday rotations where performed based on the multiplication presented below. The T3’ and T4’ is the real and imaginary part of the BT value present in the product. G is the geometric rotation and F the Faraday rotation angles.
Full Pol:
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Dual Pol:
The graphs obtained are composed by two curves, one for the H polarization and another for the V polarization. Each curve has different colours and unique Y-axis scale to allow comparison. In the Full
Polarization case two extra curves are plotted. One for the HV_real and another for the HV_imaginary also as function of the incidence angle.
Figure 93: BT vs Incidence Angle Chart
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In order to use the L1C browse products specific visualization features, the user must select first a L1C browse product file using the File Chooser buffer as presented in section 4.1 of this document. The user can then click on the SMOS Specific Visualization Features Icon , the L1C browse products
visualization window opens. Figure 94 shows a L1C browse product for which the North orthographic
projection has been selected and a “blue-red” color table chosen):
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Figure 94 L1C browse product visualization example (North orthographic projection)
Note that for browse products, the controls in the lower pane are slightly different than the dual/full polarization ones. There is no incidence angle selection (all browse products have the same incidence angle) nor snapshot_ID selection.
The controls in the lower panel deal with:
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Zoom in / out / around tool (see page 80).
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Polarisation selector: allow the user to visualize products only from the selected polarization
(select the required polarization with the drop down menu).
WARNING: For big products (around 250 Mb) the time needed to project the data is quite long…
Please be patient!
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This section presents the L2 specific visualization features implemented by SMOSView. The L2 specific visualization features apply only to the following L2 products:
L2 products
SM_XXXX_MIR_OSUDP2
SM_XXXX_MIR_SMUDP2
Table 6 L2 products to which L2 Specific Visualization Features apply
Except two functionalities (the selection flags and the error mode) the L2 specific visualization features
apply also to auxiliary data files listed in Table 7.
WARNING: However the user should know that due to the incredible points to project on the map, the auxiliary files could take about 30 minutes to be displayed.
Auxiliary data products
AUX_DGG___ (Geodetic Product)
AUX_ECMWF (ECMWF Product)
AUX_DFFLAI_ (LAI Product)
AUX_DFFLMX (LAI MAX Product)
AUX_DGGTLV (Current Tau Nadir LV Product)
AUX_DGGTFO (Current Tau Nadir FO Product)
AUX_DGGROU (Current Roughness H Product)
AUX_DGGRFI_SPH (RFI Product)
AUX_DGGFLO_SPH (Current Flood Product)
AUX_GAL_SM_SPH (Galaxy Map Product convolved with the AUX_MN_WEF)
AUX_SOIL_P_SPH (Soil Properties Product)
AUX_BIGBWF_SPH (Big water body flag Product)
AUX_RFI______SPH (L1 RFI Product)
AUX_GAL_OS_SPH (Galactic Map Product convolved with the AUX_WEF)
AUX_DISTAN_SPH (Land Sea Mask) AUX_SSS____SPH (SSS Climatological LUT)
AUX_FARA_ (Faraday Rotation)
AUX_GAL_OS (Ocean Salinity Galaxy Map)
AUX_GAL_SM (Soil Moisture Galaxy Map)
AUX_OTTxD/F (Ocean target transformation)
AUX_DTBCUR (Current Delta TB Product)
AUX_DTBXY (Delta TBs for the L2OS post-processor)
Table 7 L2 products to which L2 Specific Visualization Features apply
In order to use the L2 specific visualization features, the user must select first a L2 Soil Moisture or
Ocean Salinity product file using the File Chooser buffer as presented in section 4.1 of this document.
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The user can then click on the SMOS Specific Visualization Features Icon , the following window appears:
Figure 95 L2 specific visualization feature window
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The controls of the control panel on the left are described hereafter:
SMOSView allows projecting all fields and their associated errors from Level 2 Ocean Salinity User
Data Product (MIR_OSUDP2) and Level 2 Soil Moisture User Data Product (MIR_SMUDP2). The tables below list all these fields:
OSUDP2 Field Description
SSS1
SSS2
SSS3
WS
SST
Tb_42.5H
Sea surface salinity using roughness model 1
Sea surface salinity using roughness model 2
Sea surface salinity using roughness model 3
Equivalent neutral wind speed as derived from ECMWF
Sea Surface Temperature as derived from ECMWF
Brightness Temperature at surface level derived with default
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Tb_42.5V Brightness Temperature at surface level derived with default forward model and Retrieved geophysical parameters, V polarisation direction.
Table 8 L2 Ocean Salinity fields that can be projected on the geographical map
L2 SM Field Description
Soil_Moisture
Optical_Thickness_Nad
Physical_Temperature
TTH
RTT
Scattering_Albedo_H
DIFF_Albedos
Retrieved soil moisture value
Nadir optical thickness estimate for vegetation layer
Surface equivalent temperature – may be a retrieved value or from an external source
Optical thickness coefficient for polarisation H
Ratio of optical thickness coefficients TTH/TTV
Scattering albedo for horizontal polarisation
Difference of albedos ωH-ωV
Roughness_Param
Dielect_Const_MD_RE
Dielect_Const_MD_ IM
Dielect_Const_Non_MD_RE
Roughness parameter estimate
Real part of the dielectric constant from MD retrieval.
Imaginary part of dielectric constant from MD retrieval
Real part of dielectric constant from retrieval models other than MD
Dielect_Const_Non_MD_IM Imaginary part of dielectric constant from retrieval models other than MD
TB_ASL_Theta_B_H Surface level TB (corrected from sky/atmosphere contribution) computed from forward model with specific incidence angle
θ_B (42.5 °), and for H polarisation.
TB_ASL_Theta_B_V
TB_TOA_Theta_B_H
Surface level TB (corrected from sky/atmosphere contribution) computed from forward model a specific incidence angle θ_B
(42.5 °), and for V polarisation
Top of the atmosphere TB computed from forward model at specific incidence angle θ_B (42.5º), for H polarisation
TB_TOA_Theta_B_V Top of the atmosphere TB computed from forward model at specific incidence angle θ_B (42.5º), for V polarisation
Table 9 L2 Soil Moisture fields that can be projected on the geographical map
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A field selection drop down menu allows the user to select the field to project on the map as shown in
must select the field to be projected on the map by the “Field selection” drop down menu:
Figure 96 Field selection box (OS product on the left; SM product on the right)
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F l l a g s s e l l e c t i i o n
The user can select one or more flags available from the L2 product and overlay them to the displayed product. The available flags for the chosen product can be visualized in the flags selection box, as
Figure 97 Flags selection box
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To select a flag to be overlaid to the image, the user must click in the left column box of the flag. The colour of the fag and the transparency are configurable.
To choose the color and the transparency of the flag to display the user must click in the second column starting left. The following menu is then displayed:
Figure 98 Flags color transparency menu
The user can choose the color of the flag in the “Swatches” tab: by clicking on the desired color (see
slider to the transparency level desired (see Figure 99).
NOTE: Due to the use of a different point layer to display flags in the world map, sometimes during the zoom operations they may appear outside of the original position. In this case the zoom shall be performed prior to the display of the flags.
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Figure 99 Flags transparency selection menu
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G e o T o o l l s
When the mouse is moving through the projected data, the “Geo Tools” give the user useful geographical information about the current mouse position: Latitude, longitude, and about the grid information: Grid ID, grid latitude, grid longitude, and grid mask.
Note: the latitude/longitude grid information gives the position of the center of the grid ID, while the
“geo info” gives the exact cursor latitude/longitude.
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P r o j e c t i i o n s
The default projection used is the Mercator projection. However, it is possible to visualize the data through other geographical projections such as Orthographic (North/South) or Gnomonic projections.
See more details in section 8.1.2.3.
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F i i e l l d c o l l o r
S c a l l e
The user can select the color table that will be affected to the field to be projected thanks to the Field
color scale. The user has to select a color table within the drop down menu of Figure 100.
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Figure 100 L2 field color scale
The color range is loaded by default with the Min and Max values calculated directly from the points displayed on the map, however the user can set those values using the Min and Max text fields and then clicking on the “Scale” tick box. Afterwards the points are redisplayed according to the new range.
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Once the field, the color tables and the projections selected, the following window displays the L2 data on the geographical map:
Figure 101 L2 OS product visualization example
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L2 specific visualization features include an “error mode” that allows the user to display and project on the map the associated error contained in the L2 product (e.g. DQX) to the field selected (e.g. soil moisture), above the field itself. To use the error mode, the user has to choose the error mode by clicking on the “Error mode” icon below the main panel:
Figure 102 Click on the “Error Mode” icon to start the error mode
Once displayed, the user can as previously navigate through the projected data using the zoom in / out /
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The color scale of the error displayed above the field projected can be chosen among various color tables thanks to the “Error color scale” drop down menu:
Figure 103 Error color scale
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To use the error mode, the user has first to project one field using the features of the previous section
Once the error mode selected and the color table selected, the user can simply left-click on the area where he would like the error to be displayed above the projected data. The error is then displayed
above the data, all around the clicked position as seen in Figure 104 hereafter.
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Figure 104 Error mode display above SSS field
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Due to the fact that this AUX_SSS and AUX_DISTAN files have a huge number of points (cover the whole DGG grid) and SMOS View visualization plugin memory limitations don’t allow the simultaneous display of a so large number of points, the display of data is perfo r med zone by zone. In total there are 6 zones available
A new panel was created below the world map containing the available zones.
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F i i g u r e 1 0 5 A U X _ S S S Z o n e P a n e l l D u m m y D a t a
F i i l l t e r i i n g
Some SMOS products like L2 and AUX are filled with dummy data, which is initialization values that are kept in the final product. In most of the cases those values don’t have a n important meaning, therefore it was found the need of don’t display them in the world map.
The values considered as dummy are the following:
-999
-99999
-99998
By default, the specific visualization feature do es n’t consider this values on the world map, however the user is able to display them.
To display the dummy values on the world map the user must select the option “Display DUMMY
Values” present on the “Tools” panel, located below the world map.
Figure 106 Display DUMMY Values Option
The values are then displayed in the world map with color “Black”, in order to clearly idetify them, the color scale shall be different than the “Black and White”, if for some reason the “Black and White” scale its set it should be changed to another that doesn’t contains the black colour. The dummy values are then added and shown within the values layer. If the user unselect s the option, then world map will be repainted without the dummy values.
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V i i s u a l l i i z a t i i o n o f A U X _ F A R A P r o d u c t s
The main purpose of this ADF is to provide the L2OP with a more precise computation of the Faraday angle based on algorithm improvements and refined VTEC background field (i.e the combined VTEC).
In addition the Faraday rotation auxiliary file can be used in any of the DPGS sub/system, and allows de-coupling L1 reprocessing activity for algorithm upgrades and availability of a more precise Faraday rotation (i.e. VTEC combined, usage of refined geomagnetic model).This ADF has the following types:
AUX_FARA_C (Consolidated Faraday Rotation)
AUX_FARA_P (Predicted Faraday Rotation)
AUX_FARA_R (Rapid Faraday Rotation)
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SMOS Data Viewer provides the possibility for the user to perform a specific visualization in a panel similar to L1C (snapshot by snapshot basis) but without the polarization filter. The following figure present s a screenshot of a visualization showing on the left side the variables available for the user.
Figure 107: AUX_FARA Specific Visualization
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The specifi c visualization of AUX_GAL_OS and AUX_GAL_SM is performed on a (Ra, De) chart with
721x1441 elements. On the AUX_GAL_OS the chart will display the corresponding TB_Sky_H (Sky
TB for Horizontal Polarization) and TB_Sky_V (Sky_TB for Vertical Polarization) values for each
Right Ascension (Ra), Declination (De) pair of coordinates.
For the AUX_GAL_SM the visualization panel is divided in four charts:
I_CSWeF (First Stokes Parameter)
Q_CSWeF (Second Stokes Parameter)
U_CSWeF (Third Stokes Parameter)
Delta_I (Potential Error Due to Strong Noise Sources)
Due to jFreeChart limitations the Ra and De coordinates have a step of 0,5. The Ra ranges are from 0.0 to 360.0 while the De are from -90.0 to 90.0.
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It must be noted that due to performance issues, the zoom and color scale operati o ns are performed slowly.
Figure 108: AUX_GAL_OS Specific Visualization
Figure 109: AUX_GAL_SM Specific Visualization
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V i i s u a l l i i z a t i i o n o f A U X _ O T T x D / / F
The specific visualizatio n of AUX_OTT data is performed on (Xi, Eta) charts divided by ascending and descending orbit. The visualization panel is divided in four plots, the two on the left have the Ascending orbit and the two on the right the Descending orbit.
The values shown on the “Value Details” panel are according to the organization of the visualization panel.
By default the color scale range is set to [-10.0, 10.0], if the user uncheck the “Scale” option the scale range will be set to the minimum and maximum values of the plots.
For dual polarization products the only four plots displayed are:
LUT_offset_HH_A on the top left panel.
LUT_offset_HH_D on the top right panel.
LUT_offset_VV_A on the bottom left panel.
LUT_offset_VV_D on the bottom right panel.
The following picture shows the visualization panel for the dual polarization product.
Figure 110: AUX_OTT Dual Pol Specific Visualization
For the Dual Polarization case the user is able to select the following polarization filters:
HH VV
Same plots as the dual polarization case
HH_short VV_short
LUT_offset_HH_short_A on the top left panel.
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LUT_offset_HH_short_D on the top right panel.
LUT_offset_VV_short_A on the bottom left panel.
LUT_offset_VV_short_D on the bottom right panel.
HH HH_short
LUT_offset_HH_A on the top left panel.
LUT_offset_HH_D on the top right panel.
LUT_offset_HH_short_A on the bottom left panel.
LUT_offset_HH_short_D on the bottom right panel.
VV VV_short
LUT_offset_VV_A on the top left panel.
LUT_offset_VV_D on the top right panel.
LUT_offset_VV_short_A on the bottom left panel.
LUT_offset_VV_short_D on the bottom right panel.
T3_HHV T4_HHV
LUT_offset_T3_HHV_A on the top left panel.
LUT_offset_T3_HHV_D on the top right panel.
LUT_offset_T4_HHV_A on the bottom left panel.
LUT_offset_T4_HHV_D on the bottom right panel.
T3_VVH T4_VVH
LUT_offset_T3_VVH_A on the top left panel.
LUT_offset_T3_VVH_D on the top right panel.
LUT_offset_T4_VVH_A on the bottom left panel.
LUT_offset_T4_VVH_D on the bottom right panel.
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The specific visualization of AUX_DTBCUR data is performed on (Xi, Eta) charts divided in four plots,
XX, YY (top) and XX Short, YY Short (bottom). The user can select other polarization filter (XY) where the four plots will be XXY Stokes 3 and XXY Stokes 4 (top), YYX Stokes 3 and YYX Stokes 4
(bottom).
Apart from the polarization, the user is able to select as well the orbit, model and variable
(count_deltaTB, deltaTB, std_deltaTB or flags) to plot.
The values shown on the “Value Details” panel are according to the organization of the visualization panel.
© DEIMOS Engenharia S.A.
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By default the color scale is range is “Blue-White-Red” and the range is set to [-10.0, 10.0], if the user uncheck the “Scale” option the scale range will be set to the minimum and maximum values of the plots.
Figure 111 : AUX_DTBCUR Specific Visualization
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Y
The specific visualization of AUX_DTBXY can be performed through three different panels selected by the user on the Graphics Type box:
Plot Panel (Default): Showing the OTTs as it is done for the AUX_DTBCUR.
World Map Panel: Showing the Snapshot through a ground track representation.
Charts Panel: Show the A3TEC variables through four X-Y plots.
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On this panel the user is able to see several snapshot variables over the world map. The user can select the Region ID, FOV Zone, Polarization and Model. The supported variables are meas_count, delta_TB, model_TB and flags.
© DEIMOS Engenharia S.A.
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Figure 112 : AUX_DTBXY World Map
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In this specific visualization the user is able to select the A3TEC variables (latTEC, l1cTEC, tecres, signpost) to be plotted against fovlatitude (top-left), fovLongitude (top-right), geoLatitude (bottom-left), geoLongitude (bottom-right).
Figure 113 : AUX_DTBXY Charts Panel
© DEIMOS Engenharia S.A.
DME-DQS-QRE0609-SUM-10-E
S M O S D a t a V i i e w e r
S o f f t t w a r e U s s e r r
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’ s M a n u a l l
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Windows, MacOS X
No particular requirements should be needed.
Linux, UNIX
It is necessary to have the CUPS package installed.
This package is by default installed on most UNIXes and it is freely downloadable from the following website: http://www.cups.org/
© DEIMOS Engenharia S.A.
DME-DQS-QRE0609-SUM-10-E
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Phase is calculated using the atan2 function provided by the standard Java library.
The code that executes this operation is the following:
if (_realPart != 0.0 || _imaginaryPart != 0.0)
_phase = Math.atan2(_imaginaryPart, _realPart);
else
_phase = 0.0f;
To comply with Enhancement 8 (ref. SO-MN-VEG-GS-0050 page 5), the value of the phase is set to 0 when real and imaginary values are 0.
The documentation of the atan2 routine is the following:
The routine converts rectangular coordinates (x, y) to polar (r, theta). This method computes the phase
theta by computing an arc tangent of y/x in the range of -pi to pi. Special cases:
If either argument is NaN, then the result is NaN.
If the first argument is positive zero and the second argument is positive, or the first argument is positive and finite and the second argument is positive infinity, then the result is positive zero.
If the first argument is negative zero and the second argument is positive, or the first argument is negative and finite and the second argument is positive infinity, then the result is negative zero.
If the first argument is positive zero and the second argument is negative, or the first argument is positive and finite and the second argument is negative infinity, then the result is the double value closest to pi.
If the first argument is negative zero and the second argument is negative, or the first argument is negative and finite and the second argument is negative infinity, then the result is the double value closest to -pi.
If the first argument is positive and the second argument is positive zero or negative zero, or the first argument is positive infinity and the second argument is finite, then the result is the double value closest to pi/2.
© DEIMOS Engenharia S.A.
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If the first argument is negative and the second argument is positive zero or negative zero, or the first argument is negative infinity and the second argument is finite, then the result is the double value closest to -pi/2.
If both arguments are positive infinity, then the result is the double value closest to pi/4.
If the first argument is positive infinity and the second argument is negative infinity, then the result is the double value closest to 3*pi/4.
If the first argument is negative infinity and the second argument is positive infinity, then the result is the double value closest to -pi/4.
If both arguments are negative infinity, then the result is the double value closest to -
3*pi/4.
Parameters:
y - the ordinate coordinate x - the abscissa coordinate
Returns:
the theta component of the point (r, theta) in polar coordinates that corresponds to the point (x, y) in
Cartesian coordinates.
© DEIMOS Engenharia S.A.
DME-DQS-QRE0609-SUM-10-E
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Technical note provided by Indra:
The visualization of the L1B product in (chi,eta) domain requires some transformations. The steps to be followed are these:
1. The starting point are the L1B product’s fields:
Scene_BT_Fourier (field number 17), which contains the information to be plotted,
and Flags (field number 16) which contains information on the polarization of
Scene_BT_Fourier.
2. Scene_BT_Fourier has a number of elements that varies depending on the product and polarization mode:
1. Dual polarization product (SM_XXXX_MIR_SC_D1B or SM_XXXX_MIR_TARD1B): o the Scene_BT_Fourier field in this product has only pure polarizations, HH or VV.
It has 1395 complex values and one real in the centre of the star. These are contained in the product as 2791 double elements.
2. Full polarization product (SM_XXXX_MIR_SC_F1B or SM_XXXX_MIR_TARF1B): the
Scene_BT_Fourier field in this product has 4 possibilities o HH or VV: it has 1395 complex values and one real in the centre of the star (2791 doubles totally). o HV_real or HV_imag: it has 2791 real values (doubles) covering all the star, either the real part of HV polarization or the imaginary part.
3. In dual polarization products it must be performed the complex conjugate of the
Scene_BT_Fourier fields in pure polarizations to complete the star in the hexagonal domain.
In case of a full polarization product instead of the complex conjugate, the real part is obtained through the 2791 real values of HV_real and the imaginary part is obtained through the 2791 real values of HV_imag.
I call this Scene_BT_Fourier*. This follows the same order as Scene_BT_Fourier.
4. The resulting variable, which I call CompleteStar_Scene_BT_Fourier, is a list of values to be visualized in the hexagonal star domain plot (this is the variable to be visualized by feature specified in SOW’s Req. SDV-T-6.1.6-120). The order and coordinates for the complete list of points in the star is specified in LUT L1B_STARVIS_LUT.txt.
5. The variable CompleteStar_Scene_BT_Fourier is the origin for the Brightness Temperature image in the (chi,eta) domain in whatever resolution (specified by Xi_Eta_Resolution field
#64 in Table 4-28 of L1OP Specs), although obviously some transformations are needed in
© DEIMOS Engenharia S.A.
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Inverse FFT procedure.
6. In order to use standard FFT techniques, the CompleteStar_Scene_BT_Fourier variable must be fitted into a square matrix of the specified Xi_Eta_Resolution, I call this matrix
Rectangular_Scene_BT_Fourier. To do this, the following procedure must be performed:
Create the variable Rectangular_Scene_BT_Fourier whose size is Xi_Eta_Resolution rows by Xi_Eta_Resolution columns, filled with all zeroes. There are 3 possible resolutions, 64x64, 128x128, and 256x256.
Use the look up table (L1B_UV_STAR2RECT_LUT_***.txt) to find the positions in
Rectangular_Scene_BT_Fourier rectangular matrix on which the elements of
CompleteStar_Scene_BT_Fourier have to be placed. First 2 columns contain the row and column indexes in the rectangular grid, the 3 rd
and 4 th
columns contain the corresponding
(u,v) coordinates values, and the 5 th
column contains the position of the corresponding element of CompleteStar_Scene_BT_Fourier variable. In fact, you don’t need columns
3 rd
and 4 th
, they are only included for clarification purposes.
Note that some of this column 5’s positions values are set to -001: this must be understood as that the Rectangular_Scene_BT_Fourier must be kept with zero values. In fact,
Rectangular_Scene_BT_Fourier is zero-padded rectangular version of
CompleteStar_Scene_BT_Fourier. The hexagonal-grid variable is always the same size, the change in resolution in the rectangular-grid variable is achieved by zero-padding.
7. Once you have the rectangular-grid variable, you must perform an Inverse FFT. The L1PP project has used the FFTW library methods:
p = fftw_plan_dft_2d(nx, ny, bt_freq_matrix, bt_temp_snapshot,
FFTW_BACKWARD,FFTW_ESTIMATE);
Where nx and ny are the number of rows and columns in the rectangular grid, bt_freq_matrix is the Rectangular_Scene_BT_Fourier and bt_temp_snapshot the resulting variable in the
(chi,eta) domain, which I call from now on Rectangular_Scene_XiEta.
8. The variable Rectangular_Scene_XiEta has the same size of
Rectangular_Scene_BT_Fourier. Rectangular_Scene_XiEta has to be plotted against the coordinates specified in look-up tables L1B_FFT_XIETA_LUT_***.txt. The first 2 columns give the indexes in the rectangular matrix, and columns 3 rd
and 4 th
give the corresponding Xi and Eta positions.
9. You have to plot all values in the Rectangular_Scene_XiEta variable, as scientists are interested in everything that is retrieved by the SMOS instrument, even if it is hardly usable with current algorithms.
10. The reconstruction in the xi,eta domain is implemented using the Blackman apodisation window, therefore the brightness temperature is calculated by the following approach:
© DEIMOS Engenharia S.A.
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The Star Domain representation is performed based on the Square Matrix. The ordering is based on reporting only the baselines with positive v coordinate and u positive for v=0:
The v coordinate for the upper half of the baselines goes continuously from 0 to sqrt(3)*NEL*d, where NEL=21 and d=0.875, in incremental steps of sqrt(3)*d/2
The u coordinate of the upper half of the baselines shall follow the mathematical rules defined as:
If v=0, then u goes from d to 24*d in incremental steps of d
If v>0 and v<=sqrt(3)*NEL*d/2, then u goes from –(NEL*d +v/sqrt(3)) to +(NEL*d +v/sqrt(3)) in incremental steps of d
If v=sqrt(3)*(NEL+1)*d/2, then u goes from –11*d to +11*d in incremental steps of d
If v=sqrt(3)*(NEL+2)*d/2, then u has the values –23*d/2, –19*d/2 to +19*d/2 in incremental steps of d and +23*d/2. Notice that the elements ±21*d/2 are not present.
If v=sqrt(3)*(NEL+3)*d/2, then u has the values –12*d, –9*d to +9*d in incremental steps of d and +12*d. Notice that the elements ±11*d and ±10*d are not present.
Finally, if v>sqrt(3)*(NEL+3)*d/2 and v<=sqrt(3)*NEL*d, then u goes from –(NEL*d – v/sqrt(3)) to +(NEL*d –v/sqrt(3)) in incremental steps of d
The order followed is shown in the next picture. For the 1395 element vector, the baselines shall be taken first from left to right, then from bottom to top. I.e. the first 24 elements are the ones with v=0 and ordered by increasing u; the next 42 elements are the ones with v=sqrt(3)*d/2 and ordered by increasing u (from negative to positive), and so on until the 1395 elements are covered.
Figure 114: Star Domain Representation
© DEIMOS Engenharia S.A.
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For the case of HV polarisation, where the vector is 2791 elements long, the complete star must be covered. In this case, the ordering shall be similar to the one adopted above. The first element shall be the zero baseline (u=0, v=0); the next 1395 elements shall be ordered like it has been described (left to right, then bottom to top); and the remaining 1395 element shall be ordered in the same way as well, but inverting the sign of the resulting u and v coordinates (i.e. it changes to ordering from right to left, then top to bottom).
© DEIMOS Engenharia S.A.
DME-DQS-QRE0609-SUM-10-E
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In order to be possible to correctly browse and plot variables for level 0 products, some changes have been made to the XIN schema to split the I Q correlations in smaller arrays. The following table presents the array index number and the corresponding correlation.
Array Index Correlation
25 I24_I3 51 I23_I3
26 I24_I2 52 I23_I2
Correlator_Counts_1
1 1_1-0 27 I24_I1 53 I23_I1
I24_I18
I24_I17
I24_I16
I24_I15
I24_I14
I24_I13
I24_I12
I24_I11
1_0-0
I24_1
I24_Q24
I24_I23
I24_I22
I24_I21
I24_I20
I24_I19
I24_I10
I24_I9
I24_I8
I24_I7
I24_I6
I24_I5
I24_I4
14
15
16
17
10
11
12
13
8
9
6
7
4
5
2
3
22
23
24
18
19
20
21
I23_I18
I23_I17
I23_I16
I23_I15
I23_I14
I23_I13
I23_I12
I23_I11
I24_0
I23_1
I23_Q24
I23_Q23
I23_I22
I23_I21
I23_I20
I23_I19
I23_I10
I23_I9
I23_I8
I23_I7
I23_I6
I23_I5
I23_I4
40
41
42
43
36
37
38
39
32
33
34
35
28
29
30
31
48
49
50
44
45
46
47
66
67
68
69
62
63
64
65
58
59
60
61
54
55
56
57
74
75
76
70
71
72
73
I22_I18
I22_I17
I22_I16
I22_I15
I22_I14
I22_I13
I22_I12
I22_I11
I23_0
I22_1
I22_Q24
I22_Q23
I22_Q22
I22_I21
I22_I20
I22_I19
I22_I10
I22_I9
I22_I8
I22_I7
I22_I6
I22_I5
I22_I4
© DEIMOS Engenharia S.A.
DME-DQS-QRE0609-SUM-10-E
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106
107
108
101
102
103
104
97
98
99
100
93
94
95
96
89
90
91
92
85
86
87
88
81
82
83
84
77
78
79
80
I21_I5
I21_I4
I21_I3
I21_I2
I21_I1
I21_0
I20_1
I20_Q24
I21_I13
I21_I12
I21_I11
I21_I10
I21_I9
I21_I8
I21_I7
I21_I6
I21_Q21
I21_I20
I21_I19
I21_I18
I21_I17
I21_I16
I21_I15
I21_I14
I22_I3
I22_I2
I22_I1
I22_0
I21_1
I21_Q24
I21_Q23
I21_Q22
S o
S
f f t
M
t w
O
a
S
r e
D a
U s
t
s
a
e r r
’
’
V
s
i i e
M
w
a
e
n
r
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137
138
139
140
133
134
135
136
129
130
131
132
125
126
127
128
121
122
123
124
117
118
119
120
113
114
115
116
109
110
111
112
© DEIMOS Engenharia S.A.
I19_1
I19_Q24
I19_Q23
I19_Q22
I19_Q21
I19_Q20
I19_Q19
I19_I18
I20_I7
I20_I6
I20_I5
I20_I4
I20_I3
I20_I2
I20_I1
I20_0
I20_I15
I20_I14
I20_I13
I20_I12
I20_I11
I20_I10
I20_I9
I20_I8
I20_Q23
I20_Q22
I20_Q21
I20_Q20
I20_I19
I20_I18
I20_I17
I20_I16
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169
170
171
172
165
166
167
168
161
162
163
164
157
158
159
160
153
154
155
156
149
150
151
152
145
146
147
148
141
142
143
144
I18_Q19
I18_Q18
I18_I17
I18_I16
I18_I15
I18_I14
I18_I13
I18_I12
I19_I1
I19_0
I18_1
I18_Q24
I18_Q23
I18_Q22
I18_Q21
I18_Q20
I19_I9
I19_I8
I19_I7
I19_I6
I19_I5
I19_I4
I19_I3
I19_I2
I19_I17
I19_I16
I19_I15
I19_I14
I19_I13
I19_I12
I19_I11
I19_I10
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185
186
187
188
181
182
183
184
177
178
179
180
173
174
175
176
189
190
191
Array Index Correlation
Correlator_Counts_2
1
2
I16_I7
I16_I6
5
6
3
4
I16_I5
I16_I4
I16_I3
I16_I2
7
8
9
10
I16_I1
I16_0
I15_1
I15_Q24
I18_I3
I18_I2
I18_I1
I18_0
I17_1
I17_Q24
I17_Q23
I17_Q22
I18_I11
I18_I10
I18_I9
I18_I8
I18_I7
I18_I6
I18_I5
I18_I4
I17_Q21
I17_Q20
I17_Q19
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16
17
18
11
12
13
14
19
20
21
22
204
205
206
207
200
201
202
203
196
197
198
199
192
193
194
195
208
209
210
© DEIMOS Engenharia S.A.
I15_Q23
I15_Q22
I15_Q21
I15_Q20
I15_Q19
I15_Q18
I15_Q17
I15_Q16
I15_Q15
I15_I14
I15_I13
I15_I12
I17_I10
I17_I9
I17_I8
I17_I7
I17_I6
I17_I5
I17_I4
I17_I3
I17_Q18
I17_Q17
I17_I16
I17_I15
I17_I14
I17_I13
I17_I12
I17_I11
I17_I2
I17_I1
I17_0
27
28
29
30
23
24
25
26
31
32
33
34
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224
225
226
219
220
221
222
227
228
215
216
217
218
211
212
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S o f f t t w a r e U s s e r r
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88
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