Release Notes GAMMA Software,
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1 Release Notes GAMMA Software, Urs Wegmüller, Charles Werner, Andreas Wiesmann, Othmar Frey, Christophe Magnard Gamma Remote Sensing AG Worbstrasse 225, CH-3073 Gümligen 8-Dec-2016 Introduction This information is provided to users of the GAMMA software. Further distribution of this document is restricted. This release of the Gamma software includes new programs that provide new capability, additional features to existing programs and bug fixes. Gamma Software on Linux, OSX, and Windows The Gamma software has been compiled and tested on Linux (different distributions), Apple MacOS Sierra ( ) and OSX El Capitan ( ) and Windows 7, 8, and 10 (64-bit). Computationally intensive programs such as used in co-registration and resampling and geocoding have been parallelized using the OPENMP API built into the GCC compiler. Processing speed on Linux, OSX, and Windows systems is comparable. Linux Distribution: The Gamma software is developed on Ubuntu LTS 64-bit Linux and is tested extensively with this distribution. Hence it is highly recommended to run the software on this distribution. The software has also been compiled for Ubuntu 16.4 LTS and tested. Versions of the Software will also be uploaded for RHEL6, and RHEL7 based on Centos 6, and 7. RHEL5 is no longer supported as some programs cannot be compiled due to outdated gdal. For installation instructions for the binary LINUX distributions see the ASCII file INSTALL_linux.txt (provided with the distribution or found in the main directory of the distribution). Apple OSX Distribution: The software in this version has been compiled using MacOS Sierra ( ) and OSX El Capitan ( ). You will need to install libraries such as GDAL using MacPorts for your OS version. For installation instructions for the binary OSX distributions see the ASCII file INSTALL_OSX_Sierra_El_Capitan.txt (provided with the distribution or found in the main directory of the distribution). Announcement: El Capitan will no longer be supported after the mid 2017 upgrade. 1
2 Windows Distribution: The Windows 7, 8, 10 version of the Gamma software is 64-bits and multi-threaded. The software has been compiled under Win10 and will also run on Win7, and 8. The build uses the MINGW64 GCC compilers The Gamma Software is now statically linked to the Gamma Libraries. For installation instructions for the binary Windows distributions see the ASCII file INSTALL_WIN64.txt (provided with the distribution or found in the main directory of the distribution). Documentation: The documentation was updated: The documentation is now more interactive and includes for each module a Contents sidebar on the right side and a search functionality. The program gamma_doc facilitates the access to the documentation related to a given module or program: gamma_doc gamma_doc DIFF gamma_doc az_proc Opens the main page of the documentation. Opens the DIFF&GEO documentation. Opens the reference manual page for az_proc. Notice that there is a separate Users Guide on Sentinel-1 support (pdf file Sentinel- 1_users_guide.pdf in directory DIFF/html). Hardware Recommendations Using multi-core processors (4 or more cores) will bring substantial improvement in processing speed due to parallelization of the code base. There should be at least 2 GB RAM available for each processor core with 8 to 16 GB per core recommended. Disk storage requirements for using the Gamma Software effectively depend on the amount of input data and data products that will be produced. Based on our experience we recommend to consider at least 4 TB space, especially when working with stacks of Sentinel-1 or very high resolution data (TerraSAR-X, Cosmo-Skymed) data. The current trend towards larger data products requires substantially increased storage capacities. GAMMA Software Training Courses GAMMA plans to organize in spring 2017 again training courses at GAMMA (near Bern, Switzerland) for SAR/INSAR (MSP/ISP/DIFF&GEO/LAT) and for PSI (IPTA). See also our web-site under 2
3 Significant Changes in the Gamma Software Modules since the Mid release Supporting Sentinel-1 EWS SLC In this period the Sentinel-1 programs and scripts were updated to also support Sentinel-1 Extra Wide Swath (EWS) SLC data (that have become occasionally available). As IWS data EWS acquisitions are in TOPS mode, but with 5 instead of 3 sub-swaths. With this update EWS SLC data can be used also for interferometry, offset tracking, SBI, and PSI. S1 RFI filtering Radio-Frequency Interference (RFI) filtering can be applied to Sentinel-1 SLC data. The methodology is documented in one of the new Gamma Software Demo examples (see below). Reference for Sentinel-1 Support in the GAMMA Software A reference for Sentinel-1 Support in the GAMMA Software became available now in an online journal: Wegmüller U., C. Werner, T. Strozzi, A. Wiesmann, O. Frey and M. Santoro, Sentinel-1 Support in the GAMMA Software, Procedia Computer Science, 100: , 2016, doi: /j.procs (access link: Gamma Software Demo examples In this period new Gamma Software Demo examples were added: - demonstrating SAR processing with MSP - demonstrating the application of InSAR, offset tracking, SBI, PSI for Sentinel-1 - demonstrating IPTA processing - demonstrating the generation of a DEM update using Tandem-X data Gamma Software Users with a valid license or evaluation license can download the Gamma Software Demo examples here: account: user: gamma_user password: RBS_821 Gamma Software Demo examples for the MSP New demo examples were added for the MSP. Now that internet access is normally much faster than in the past we added MSP demo examples showing raw data processing for full frames. Furthermore, the data are provided in the current formats used by the Agencies. MSP demo example: Gamma_demo_MSP_ASAR.tar.gz Gamma_demo_MSP_CS.tar.gz Gamma_demo_MSP_ERS2_zero-gyro.tar.gz Gamma_demo_MSP_ERS.tar.gz Gamma_demo_MSP_JERS.tar.gz Gamma_demo_MSP_PALSAR1.tar.gz MSP_users_guide_examples.tar.gz Contents ENVISAT ASAR IS2 VV-pol., full frame Cosmo-Skymed HDF5 format, stripmap-mode, leftlooking ERS-2 Zero-Gyro mode (4 data sets with different large Doppler Centroids) ERS-1 VV-pol., full frame JERS-1 HH-pol., full frame PALSAR-1 HH-pol., full frame, FBS Examples from MSP users guide (ASAR, ERS, JERS, PALSAR, RADARSAT, SIRC), reduced size raw data sets 3
4 Gamma Software Demo examples for Sentinel-1 New demo examples were added to demonstrate the application of a range of techniques (InSAR, offset tracking, SBI, PSI for Sentinel-1) for Sentinel-1 TOPS mode data. Sentinel-1 demo example: S1_Mexico_INSAR_demo.tar.gz S1A_S1B_DINSAR_ItalyEarthquake_demo.tar.gz S1_Greenland_tracking_demo.tar.gz S1_DevonIceCap_demo.tar.gz S1_Magdeburg_multitemp_demo.tar.gz S1_RFI_filtering.tar.gz IPTA_S1_Athens_demo.tar.gz (see directory Gamma_demo_IPTA for this example) Contents Sentinel-1A DInSAR (co-registration, differential interferogram) for a pair over Mexico showing significant deformation. Data consist of 2 sub-swaths with 2 bursts each. Sentinel-1A - Sentinel-1B DInSAR (co-registration differential interferogram, unwrapping) for co-seismic pair. Data consist of 2 sub-swaths with 3 and 2 bursts. Sentinel-1A offset tracking (co-registration, differential interferogram offset tracking, post-processing of offset field, geocoding of result). Data consist of 2 sub-swaths with 2 bursts each. Sentinel-1A offset tracking and split-beam interferometry (co-registration, differential interferogram, split-beam interferogram, offset tracking). Data consist of 2 sub-swaths Demonstration of multi-temporal filtering of Sentinel-1 data. Processing starts from 24 co-registered SLC mosaics at VV and VH Pol. Demonstration of Radio Frequency Interference (RFI) filtering of a Sentinel-1 IWS SLC. Data consist of 1 sub-swaths with 3 bursts. IPTA processing for Sentienl-1 data. Single and multi-look phases are considered. A multi-reference stack method is used. Processing starts from co-registered SLC stack. In the following some of the results of the demo examples are shown. S1 DInSAR over Mexico City: geocoded differential interferogram (see S1_Mexico_INSAR_demo). S1 DInSAR over Mexico City: geocoded RGB coherence product (R: coherence, G: backscatter, B: backscatter change) (see S1_Mexico_INSAR_demo). 4
5 S1A-S1B geocoded co-seismic differential interferogram for magnitude 6.2 Earthquake of 24 August 2016 in Central Italy Sentinel-1A IPTA demo result over site near Athens that includes small areas with fast, potentially nonuniform, motion (average deformation rate is shown). S1 IWS range offset field over site in Greenland. S1 IWS azimuth offset field over site in Greenland. S1 split-beam interferometry phase, _ , over Devon Island, indicating significant ionospheric effects. S1 azimuth offset field, _ , over Devon Island, indicating significant ionospheric effects. 5
6 S1 RGB composite of unfiltered VV backscatter (red), VH backscatter (green) and VV/VH ratio (blue), on , over area near Magdeburg. S1 RGB composite of temporally filtered VV backscatter (red), VH backscatter (green) and VV/VH ratio (blue), on , over area near Magdeburg. S1 VH-pol. backscatter on over a small section of the Swiss Alps, with RFI anomalies visible. S1 VH-pol. backscatter on over a small section of the Swiss Alps; RFI filtering permitted removing the RFI anomalies. 6
7 Gamma Software Demo examples for IPTA processing New demo examples were added to demonstrate different time series analysis approaches supported by the IPTA module. Sentinel-1 demo example: IPTA_demo_ERS_Borth.tar.gz IPTA_demo_PALSAR_Chiba.tar.gz IPTA_S1_Athens_demo.tar.gz Contents ERS IPTA process for area with > 5cm/year deformation rates, starting with multi-reference stack. Then after that two alternative approaches are used to continue. In the first approach the point heights determined with the multi-reference stack are used in a subsequent single reference stack regression. In the second approach the mb_pt is used to generate the time series. Data consist of stack of co-registered SLC sections. PALSAR-1 IPTA processing over an urban area with high deformation rates. Initially a multi-reference stack is used. Data consists of stack of co-registered SLC sections. IPTA processing example using S1 data over a small section to the West of Athens. The site includes small areas with fast, potentially non-uniform, motion (related to the compaction of landfills). Example demonstrates IPTA processing for S1 data. Example demonstrates the combined use of single-pixel and multi-look phases. Example demonstrates the use of a multi-reference stack to map fast non-uniform motion and to optimize the spatial coverage achieved. Example demonstrates alternative approaches to separate phase related to deformation and atmospheric path delay. Data consists of stack of co-registered SLC sections. In the following some of the results of the demo examples are shown. ERS IPTA example over Borth, Germany. The average deformation rate is shown using a color scale between - 7.5cm/year (red) and +7.5cm/year (blue). PALSAR-1 IPTA example over Chiba, Japan. The average deformation rate is shown using a color scale between -2.5cm/year (red) and +2.5cm/year (blue). 7
8 Gamma Software Demo examples for DEM generation using Tandem-X data. A demo example on the updating of a DEM using Tandem-X data was added. Sentinel-1 demo example: TDX_demo_Etna.tar.gz Contents Updating of a DEM using Tandem-X data. In some areas the DEM update is > 20m, so that the height difference need to be considered in the geocoding. In the following some of the results of the demo examples are shown. SRTM DEM height over Etna Volcano, visualized with color scale and shaded relief. Updated, Tandem-X based DEM height over Etna Volcano, visualized with color scale and shaded relief. MSP MSP Documentation update: the documentation is now more interactive and includes a Contents sidebar on the right side (it replaces MSP_documentation.html, MSP_reference_manual.html, and MSP_users_guide.html. An easy way to access the MSP documentation is to use the command gamma_doc MSP. MSP demo examples update (see also above): New demo examples were added for the MSP, providing now full frames of raw data and using the current formats used by the Agencies (e.g. ERS data in ENVISAT format). 8
9 ISP ISP Documentation update: the documentation is now more interactive and includes a Contents sidebar on the right side (it replaces ISP_documentation.html, ISP_reference_ manual.html, and ISP_users_guide.html. An easy way to access the ISP documentation is to use the command gamma_doc ISP. multi_s1_tops, SLC_mosaic_S1_TOPS: Write out date string in the image parameter file using YYYY MM DD format (instead of the HH MM SS.SSSSS data fields that might be present in the input date string). OPOD_vec: Updated to support adding OPOD state vectors for both S1A and S1B. The program determines now the sensor (S1A or S1B, based on the SLC parameter file sensor parameter) and selects then for this sensor the correct OPOD file and extracts the OPOD state vectors. ISP_lib: Added support for the calculation of the burst parameters for Sentinel-1 EWS SLC data. image_stat: Corrected calculation of standard deviation of the data (previous value was the variance). multi_look: Correction in the calculation of the starting azimuth angle and angle increment of GPRI-2 multi-look images. typedef_isp.h: Added a data type VEC_ENU (vector with East,North,Up coordinates) to be used for earth surface vectors. unw_correction_filt: Added a new script supporting phase unwrapping ambiguity error correction. The deviation relative to a spatially filtered phase image is used to identify and correct local unwrapping ambiguity errors. unw_correction_poly: Added a new script supporting phase unwrapping ambiguity error correction. An area with an ambiguity error is marked by the operator with a polygon (drawn using polyras). The polygon drawn should include the entire area to correct and a small margin around it with unwrapped phases on the correct ambiguity. Based on the statistics of the polygon area a threshold is determined and used to correct the ambiguity error. mcf: Modified to set the reference point phase not to 0.0 (no-data) but rather to 1.18e-38 (smallest floating point number) when using init_flag=1. In this mode the phase of the reference point is subtracted from the entire scene. DIFF&GEO DIFF&GEO Documentation update: the documentation is now more interactive and includes a Contents sidebar on the right side (it replaces DIFF_documentation.html, DIFF_reference_manual.html, and DIFF_users_guide.html. An easy way to access the DIFF&GEO documentation is to use the command gamma_doc DIFF. datums.h: The Swiss 3-PAR datum shift parameters were changed to the current 3-PAR datum shift parameters provided by Swisstopo. Similarly the Swiss 7-PAR datum transformation parameters were changed to GRANIT 7-PAR datum transformation parameters as provided by Swisstopo. 9
10 sub_phase: An option was added to operate the program with SCOMPLEX data as well as with FCOMPLEX and FLOAT (to support e.g. the subtraction of the azimuth phase ramp in the deramping of SLC data from Sentinel-1 IWS or spotlight-mode SAR images). vrt2dem_latlon: A new script vrt2dem_latlon was added to extract a region from a virtual DEM (VRT DEM) in geographic coordinates as specfied by latitude and longitude bounds. For the selected area the VRT DEM is converted to GAMMA DEM with the associated DEM_par file. The functionality is similar to vrt2dem but the DEM section is directly specified on the command line instead of calculated based on a MLI_par file. srtm2dem, vrt2dem, vrt2dem_latlon: Modified to support the following modes (gflg) of operation are possible: 0: no geoid offset correction, replace NODATA with 1.e-20. 1: add constant geoid offset to get WGS84 referenced heights, NODATA are set to the offset value 2: add interpolated geoid offset to get WGS84 referenced heights no-data are set to the interpolated geoid offset 3: no geoid offset correction, replace NODATA with 0.0 The most important difference with prior versions is that the geoid offset correction is also applied to regions of NODATA. This is to allow regions of ocean to be covered. It is also possible to write out the geoid resampled to the DEM grid. S1_coreg_TOPS, S1_coreg_TOPS_no_refinement: Corrected for use with a constant height value (entered on the command line) rather than a DEM resampled into range-doppler coordinates. lk_vec_lt: Added new program to calculate the look vector (defined as pointing from the pixel location to the sensor) in ENU (East,North,Up) coordinates basis as well as the look vector angles (same as calculated using the program look_vector) from the lookup table. base_calc: Added check if there are state vectors available in the SLC parameter files. If not, then set baselines to 0.0. This modification is useful for the generation of an itab for GPRI measurement network based on time intervals alone. S1_poly_overlap: Updated to support Sentinel-1 Extended Wide Swath (EWS) data (with 5 sub-swaths). S1_coreg_TOPS, S1_coreg_TOPS_no_refinement: Updated to support Sentinel-1 Extended Wide Swath (EWS) data (with 5 sub-swaths). Updated Sentinel-1 Users guide to include processing EWS data. S1_deramp_TOPS_reference, S1_deramp_TOPS_slave: Updated to support Sentinel-1 Extended Wide Swath (EWS) data (with 5 sub-swaths). quad_fit: Added phase model 6: a0 + a1*y + a5*y^2 condition_offset_estimates: Added script to post-process an offset field (as generated using offset_pwr_tracking or offset_pwr_trackingm). Besides applying a threshold on the offset estimation quality thresholds concerning the valid absolute range and azimuth offset intervals and valid relative range and azimuth offset intervals (relative to a spatially filtered solution) are used to remove unreliable estimates and outliers from an offset field. 10
11 DISP DISP Documentation update: the documentation is now more interactive and includes a Contents sidebar on the right side (it replaces DISP_documentation.html and ISP_reference_manual.html. An easy way to access the ISP documentation is to use the command gamma_doc DISP. vec_to_real: Added program to extract components from a vector data file and store as float real values. Vector data are triplets of 4-byte single-precision floating point numbers in an orthogonal basis such as XYZ, ENU, SCH. float_math: Added trignometric functions sin, cos, tan, asin, acos, atan2. rasmph_pwr24, dismph_pwr24: modified to display 0.0 phase as cyan rather than as grayscale. LAT LAT Documentation update: the documentation is now more interactive and includes a Contents sidebar on the right side (it replaces LAT_documentation.html, LAT_reference_manual.html, and LAT_users_guide.html. An easy way to access the LAT documentation is to use the command gamma_doc LAT. histogram: Added extra field in the output to include also the sum of the data in each polygon. multi_class_mapping: Supports now writing of output image in TIFF format. MLI_despiking: A new script to determine and remove spikes in an MLI was added. This script is used also as part of the new script AMI_FILTER. AMI_FILTER: A new script supporting Advanced Multi Image Filtering of co-registered MLI stacks (can be in SAR or map geometry) was added. IPTA IPTA Documentation update: the documentation is now more interactive and includes a Contents sidebar on the right side (it replaces IPTA_documentation.html, IPTA_reference_manual.html, and IPTA_users_guide.html. An easy way to access the IPTA documentation is to use the command gamma_doc IPTA. pt2geo: The optional output plat_lon was changed from local reference frame to WGS84 coordinates. Furthermore, and additional optional output for the WGS84 point heights was added. IPTA demo examples update (see also above): An example to demonstrate IPTA processing for S1 data was added. The example also demonstrates the combined use of single-pixel and multi-look phases and the use of a multi-reference stack to map fast non-uniform motion and to optimize the spatial coverage achieved. 11
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