Last change: 11-Dec-2024 cm, uw, ts, sl, and pb
| Name |
Contents |
Readme files |
| README_Gamma_Software_demo_MSP.html | Demo examples for MSP |
|
| README_Gamma_Software_demo_IPTA.html | Demo examples for IPTA |
|
| Capella_pfa_Etna_demo.tar.gz | Reading and analyzing Capella dwell mode data processed using the
polar format processor. |
README last update: 26-Aug-2024 |
| Gamma_demo_ArcGIS.tar.gz |
Demo example showing how to use the tools provided in the Gamma
Plugin for ArcGIS. The demo example can be run either using the
graphical interface of the tools or by running the tools a as Python
functions in a Jupyter Notebook. A model prepared using ArcGIS
ModelBuilder is also provided to perform one of the processing
steps. The demo example uses a set of Sentinel-1 images acquired over Switzerland and includes the following processing steps: reading the data, geocoding, co-registration, estimation of the interferometric coherence, multi-temporal filtering, calculation of temporal average and variability, generation of composite images, radiometric calibration, change detection, and polarimetric decomposition. |
PDF last update: 10-Dec-2024 |
| Gamma_demo_ASNARO2_Uluru.tar.gz |
Demo example on the use of ASNARO2 X-band SAR data and the
generation of a high resolution DEM using multiple ASNARO2
interferometric pairs and the SRTM 3" DEM. |
README last update: 11-Jan-2021 |
| Gamma_demo_BM3D_filter.tar.gz |
Demo examples on the use of the new bm3d filtering program
(in LAT module). Besides backscatter images complex valued images as
interferograms or rasterfiles can be filtered. The demo includes two
change detection examples that make use of bm3d. |
README last update: 16-Dec-2020 |
| Gamma_demo_Capella.tar.gz |
Demo example on the commands for reading and using Capella SAR
data products acquired using various modes and provided as SLCs and
geocoded products |
README last update: 24-Jun-2021 |
| Gamma_demo_closure_phase_PALSAR_Etna.tar.gz |
Based on 5 co-registered PALSAR SLC the demo calculates and
visualizes the multi-look interferometric closure phase (A_B + B_C –
A_C) using the program closure_phase. |
README last update: 20-Apr-2021 |
| Gamma_demo_DEM.tar.gz |
This demo shows how to import DEMs into the Gamma Software. It
includes examples for the widely used SRTM DEM, the newer Copernicus
DEM, the 90m TDX DEM and a freely available DEM from New Zealand. |
README last update: 21-Dec-2020 |
| Gamma_demo_ICEYE.tar.gz | Demonstrate reading of ICEYE X-band SAR data for different acquisition modes and processing levels. | README last update: 29-Dec-2020 |
| Gamma_demo_ICEYE_SLED.tar.gz | In this demo we show how ICEYE SLED SLC (Dwell mode) azimuth sub-bands can be read, generated and analyzed. | README last update: 18-Jun-2024 |
| Gamma_demo_ionosphere_PALSAR1_Furuya.tar.gz | Based on a PALSAR-1 SLC pair the identification, estimation and
migration of the ionospheric path delay phase is demonstrated. The
pair is affected by strong ionospheric effects (same data as used in
Furuya M., Suzuki T., Maeda J., and Heki K., (2017). Midlatitude
sporadic-E episodes viewed by L-band split-spectrum InSAR, Earth
Planets and Space (2017) 69:175;
https//doi.org/10.1186/s40623-017-0764-6. |
README 1 README 2 last update: 15-Apr-2021 |
| Gamma_demo_ionosphere_PALSAR2_Tokyo.tar.gz | Based on a PALSAR-2 SLC pair over Tokyo the identification,
estimation and migration of the ionospheric path delay phase is
demonstrated for a case not affected by particularly strong
ionospheric effects. |
README last update: 11-Dec-2024 |
| Gamma_demo_ionosphere_S1.tar.gz | For a set of 5 S1 IWS acquisitions the demo shows the estimation
and subtraction of the ionospheric phase using split-spectrum
techniques; and the use of SSI_INT_S1. |
README 1 README 2 last update: 4-Feb-2021 |
| Gamma_demo_PALSAR1_deskew_cat.tar.gz | Some PALSAR1 SLC data (level 1.1) are in a Doppler centroid (skewed or non-deskewed) geometry, and each scene is processed using a different Doppler centroid. While it is possible to process individual scenes in that geometry (also interferometrically), concatenation of multiple consecutive scenes can only be achieved using a common geometry. Here we read 3 consecutive PALSAR1 SLC data for 2 different dates, deskew the data, i.e. convert them to a zero-Doppler geometry, concatenate them in a common geometry, co-register the scenes, and generate an interferogram and a coherence map. | README last update: 2-Dec-2022 |
| Gamma_demo_PALSAR2_multi_resolution.tar.gz |
PALSAR-2 provides SLC data in modes with different spatial
resolution. Cross-mode interferometry is demonstrated for an SM2 –
SM1 pair (having different bandwidths and a different center
frequency) and an SM1 – SPT pair (having different azimuth
bandwidths. Bandpass filtering is done using either bpf or SLC_adf,
to shift the effective radar carrier frequency the program SLC_freq_shift
is used. |
README last update: 5-Feb-2021 |
| Gamma_demo_PALSAR2_ScanSAR_NZ.tar.gz |
Demo example on the generation of a large-area differential interferogram using PALSAR-2 ScanSAR SLC (processed using the full-aperture processor, provided in CEOS format). Two mosaicking methods are used: in slant-range geometry and in map geometry. In addition, for both cases, the co-registration can be done with and without refinement using an offset field. This leads to four versions for that example. Only data of 2 sub-swaths are included in the zip files provided. Nevertheless, the total size of the demo files is 25 GB. | README 1 README 2 README 3 README 4 last update: 6-Jul-2022 |
| Gamma_demo_PALSAR2_ScanSAR_Stripmap_InSAR.tar.gz |
Demonstrate the generation of a PALSAR-2 ScanSAR – to – stripmap
mode cross-interferogram. The required common band filtering is done
using the filter program SLC_adf. |
README last update: 8-Feb-2021 |
| Gamma_demo_radcal.tar.gz |
Shows how the topography-related backscattering component can be removed from SAR images to provide radiometrically "flattened" images. The process relies on precise geocoding and on the calculation of the illuminated area contributing to each individual pixel in slant-range geometry using a digital elevation model (DEM). | README last update: 21-Apr-2021 |
| Gamma_demo_RCM.tar.gz |
Demonstrate how to read Radarsat Constellation Mission (RCM) data for different acquisition modes and processing levels. | README last update: 23-Dec-2020 |
| Gamma_demo_RFI_filtering.tar.gz |
Demonstrate how to do Radio Frequency Interference (RFI) filtering to SLC data (PALSAR, and S1 examples). | README 1 README 2 README 3 last update: 15-Mar-2022 |
| Gamma_demo_RSAT2_multi_resolution.tar.gz |
Demonstrating a multi-resolution RSAT2 DinSAR processing (using
SLC with different bandwidths). |
README last update: 20-Apr-2021 |
| Gamma_demo_S1_burst_number.tar.gz |
Demonstrates the identification of Sentinel-1 burst numbers in S1
IWS or EWS SLC data ZIP-files and the preparation of BURST_tab files
(for indicated ZIP-files) for selection of bursts: - corresponding to an indicated reference (ZIP-file) - corresponding to an indicated burst_number_table - covering an area of interest specified in a KML file This demo is very useful for learning how to efficiently read and import S1 data covering a specific area-of-interest for time-series processing. |
README last update: 28-Jan-2021 |
| Gamma_demo_S1_coherence_estimation.tar.gz |
An alternative coherence estimation path for S1 IWS data that
estimates the coherence in the burst MLI geometry is demonstrated.
The advantage of this approach is that it is not affected by phase
jumps at burst or sub-swath interfaces. |
README last update: 20-Apr-2021 |
| Gamma_demo_S1_IranIraqEarthquake20171112_asc+desc.tar.gz |
This example demonstrates the generation of S1 co-seismic
differential interferograms and offset tracking as well as the
decomposition of displacement components based on the asc. and desc.
orbit DInSAR phases and/or offset fields. |
README last update: 9-Feb-2022 |
| Gamma_demo_S1_TOPS_Stripmap_InSAR.tar.gz |
In this example, the generation of a Sentinel-1 IWS – to –
stripmap mode cross-interferogram is demonstrated. The required
common band filtering is done using the new filter program SLC_adf. |
README last update: 15-Jan-2021 |
| Gamma_demo_SAOCOM.tar.gz | In this demo we show how SAOCOM data are read and how they can be
used: - a pair of interferometric stripmap SLC images is read and geocoded, then basic interferometric outputs are generated - polarimetric TOPS SLC data are read, mosaiced, a Pauli decomposition is carried out, and the result is geocoded - geocoded polarimetric data are read and a RGB image is generated |
README last update: 17-Dec-2020 |
| Gamma_demo_SBI_PALSAR_Etna.tar.gz |
Demonstrating ionosphere identification and Split-Beam InSAR (SBI)
on PALSAR-1 data. |
README last update: 15-Apr-2021 |
| Gamma_demo_SCH_and_gc_map2.tar.gz |
Demonstrating geocoding for orbits clearly different from N-S
direction using either SCH coordinates or using the program gc_map2. |
README last update: 22-Apr-2021 |
| Gamma_demo_ScanSAR_DInSAR_S1_A174.tar.gz |
In this demo example the ScanSAR interferometry functionality is
tested / demonstrated using a pair of S1 IWS SLC data. |
README last update: 27-Apr-2021 |
| Gamma_demo_UMBRA.tar.gz | Demo example for the support of UMBRA X-band SAR data in the GAMMA
Software. |
README last update: 12-Dec-2023 |
| Gamma_demo_vis.tar.gz | Visualization and rasterfile generation using the new Python
visualization and rasterfile programs vis*. |
README last update: 16-Dec-2020 |
| Gamma_Polarimetry_demo.tar.gz | Demo on polarimetric decompositions, with examples using quad-pol.
PALSAR-1, PALSAR-2, and SAOCOM SLC data (level 1.1). The demo shows
the step-by-step processes for the different decompositions
supported in the GAMMA LAT as well as the use of the new Python
script quad_pol_decomposition.py that supports doing the
decompositions starting from the quad-pol. SLC in a single step. The PALSAR-2, and SAOCOM parts of the demo also include a demonstration of the compact polarimetry decomposition tools. |
README README PALSAR README PALSAR2 README SAOCOM last update: 3-Apr-2024 |
| PALSAR_Etna_atm.tar.gz | Estimation of spatially variable height dependent atmospheric phase using atm_mod_2d. | README last update: 6-Jan-2021 |
| PALSAR3_iono_demo.tar.gz |
This demo uses simulated PALSAR3 data with SLCs for two separate
spectral bands, the main 28MHz bandwidth band and an additional
10MHz band available for the ionosphere mitigation. For the demo an interferometric pair over Osaka, Japan is used. One of the two acquisitions of the pair is affected by significant ionospheric effects. Methods to identify the presence of ionospheric effects for the individual SLC and the interferometric pair are shown. To generate a useful differential interferogram with this pair the second image (which is affected by ionospheric effects) is co-registered to the first (reference) scene using a refinement step with an offset field. Then the dispersive and non-dispersive phase components are determined using the split-spectrum method described in Wegmüller, U.; Werner, C.; Frey, O.; Magnard, C. Estimation and Compensation of the Ionospheric Path Delay Phase in PALSAR-3 and NISAR-L Interferograms. Atmosphere 2024, 15, 632. https://doi.org/10.3390/atmos15060632. |
README last update: 21-Aug-2024 |
| S1A_S1B_DINSAR_ItalyEarthquake_demo.tar.gz | 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. |
README last update: 4-Jan-2021 |
| S1_Bari_coreg_demo.tar.gz | The selection and extraction of corresponding S1 IWS bursts is
demonstrated for a pair of S1 acquisitions (using S1_extract_png,
S1_BURST_tab_from_zipfile, S1_import_SLC_from_zipfiles).
The bursts to be used are provided in two separate zip files
(“slices”) each, with the interface between the zip files being
offset between the first and the second acquisition. Using S1_coreg_TOPS_dual_pol
both the VV and VH pol. data are then co-registered (using for both
polarizations the same transformation) and used to calculate
differential interferograms at both VV and VH polarizations. |
README last update: 4-Jan-2021 |
| S1_DevonIceCap_demo.tar.gz | Sentinel-1A offset tracking and split-beam interferometry
(co-registration, differential interferogram, split-beam
interferogram, offset tracking). Data consist of 2 sub-swaths. The
example also shows the identification and effects of ionospheric
effects on S1 TOPS data. |
README last update: 6-Jan-2021 |
| S1_Greenland_tracking_demo.tar.gz | 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. The sequence includes an initial offset estimation followed by a second offset estimation using offset_pwr_tracking2 and post-processing of the results. | README last update: 5-Jan-2021 |
| S1_Magdeburg_multitemp_demo.tar.gz | Demonstration of multi-temporal filtering of Sentinel-1 data.
Processing starts from 24 co-registered SLC mosaics at VV and VH
Pol. |
README last update: 16-Dec-2020 |
| S1_Mexico_coreg_demo.tar.gz | Sentinel-1A Co-registration example (reading of SLC data,
selection of bursts corresponding to the bursts present in the
reference “burst SLC” (using updated version of par_S1_SLC
and new program S1_BURST_tab), co-registration, calculation
of differential interferogram, deramping, and split-beam
interferogram generation). |
README last update: 4-Jan-2021 |
| S1_Mexico_INSAR_demo.tar.gz | 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. |
README last update: 4-Jan-2021 |
| S1_Yibal_InSAR_demo.tar.gz | Introduction to SAR interferometry using Sentinel-1 data: - Learn pre-processing steps for interferometry using Sentinel-1 data: Sentinel-1 data download, data extraction including burst selection, DEM preparation, geocoding, coordinate system change, generation of height map in radar geometry - Coregister Sentinel-1 data using ScanSAR_coreg.py script, analyze the results - Generate a differential interferogram - Calculate the coherence, and produce an RGB product based on the coherence, change, and intensity - Geocode the results and save images as GeoTIFF or KML |
README last update: 15-Dec-2020 |
| TDX_demo_Etna.tar.gz | Update of a DEM using a pair of co-registered TanDEM-X SLC data.
The SRTM DEM is used here as the initial DEM, and provides support
for the geocoding and phase unwrapping steps. The demo example is also available in Python and as a Jupyter notebook. |
README last update: 24-Jul-2024 |
| gamma_demo_cd_20210415.tar.gz | This archive contains - ERS SAR raw data of Flevoland (NL) - ERS SAR SLC data of the area of Las Vegas (USA) - ERS-2 SAR and ENVISAT ASAR SLC data of the Seeland region (Switzerland) - ALOS PALSAR SLC data of a glacier in Novaya Zemlya (Russia) - ASTER data and a DEM of the area of Las Vegas (USA) to demonstrate the use of the root MSP, ISP, DIFF/GEO, and LAT software packages (somewhat outdated historic procedures) |
README last update: 15-Apr-2021 |
| mat_gamma_demo.tar.gz | This demo example shows how the gamma Matlab wrapper supports
running the GAMMA Software within the Matlab environment. |
README 1 README 2 last update: 21-Apr-2021 |
| py_gamma_demo.tar.gz | This demo example shows how the gamma python wrapper supports
running the GAMMA Software within Python scripts as well as within a
Python Interactive Development Environment (IDE) such as Spyder3 or
using Jupyter Notebook. |
README 1 README 2 last update: 17-May-2023 |
If you run into difficulty while running any of these examples, please
contact Christophe Magnard (magnard@gamma-rs.ch),
Urs Wegmüller (wegmuller@gamma-rs.ch),
or Charles Werner (cw@gamma-rs.ch).
GAMMA REMOTE SENSING AG
Worbstrasse 225
3073 Guemligen, Switzerland
Tel: +41 31 951.70.05
www.gamma-rs.ch