Last change: 22-Aug-2024 cm, uw, ts, and sl
| Name |
Contents |
Readme files |
| README_Gamma_Software_demo.html | Main list of demo examples |
|
| Gamma_demo_PALSAR1_SBAS_Yibal.tar.gz |
PALSAR-1 SBAS-type process for an oil field area in Oman; done
using a multi-reference stack of multi-look 2D differential
interferograms with short spatial baselines. Data consists of a stack of co-registered SLC sections and a section of Copernicus 3-arc-second DEM. |
README last update: 15-Dec-2020 |
| IPTA_demo_ERS_Borth.tar.gz |
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 program is used to generate the time series. Data consists of stack of co-registered SLC sections. |
README 1 README 2 last update: 29-Apr-2021 |
| IPTA_demo_PALSAR_Chiba.tar.gz |
PALSAR-1 IPTA processing over an urban area with high deformation
rates. A single reference stack is used. The processing is first
done using a reduced point list and then the result is expanded to
the large point list. The processing includes a careful checking and finalizing of the result (incl. the generation of geotiff files and of kml files for visualization in Google Earth). The input data consists of stack of co-registered SLC sections. |
README last update: 11-Jun-2021 |
| IPTA_demo_S1_Aletsch_from_orig.tar.gz | Thorough IPTA processing example using S1 data over an alpine area
centered on the Aletsch glacier in Switzerland. The site includes a
well known landslide (Moosfluh) as well as other smaller landslides. - Demonstrate the data preparation for the IPTA processing, including S1 TOPS SLC extraction, SLC coregistration, deramping and oversampling. - Demonstrate IPTA processing for S1 data - Demonstrate the combined use of single-pixel and multi-look phases in an IPTA processing (to optimize the spatial coverage) - Demonstrate the processing with a multi-reference stack to map fast, non-uniform motion and to optimize the spatial coverage achieved - Demonstrate the atmospheric path delay mitigation in a mountainous area, estimating height dependent and turbulent path delay components - Demonstrate filtering, phase unwrapping, and point data interpolation in a mountainous area (with significant foreshortening and layover) using programs working in map coordinates (instead of in the slant range geometry) - Demonstrate the estimation of deformation time series for a S1 data set covering only a short time period (5 months) - Demonstrate an approach to separate phase related to deformation and atmospheric path delay for localized, fast-moving deformations The demo example is also available in Python and as a Jupyter notebook. |
README last update: 22-Aug-2024 |
| IPTA_demo_S1_Aletsch_from_rslc.tar.gz | Thorough IPTA processing example using S1 data over an alpine area
centered on the Aletsch glacier in Switzerland. The site includes a
well known landslide (Moosfluh) as well as other smaller landslides. - Identical to IPTA_demo_S1_Aletsch_from_orig.tar.gz except that it starts from the stack of co-registered S1 rslc files. - Demonstrate IPTA processing for S1 data - Demonstrate the combined use of single-pixel and multi-look phases in an IPTA processing (to optimize the spatial coverage) - Demonstrate the processing with a multi-reference stack to map fast, non-uniform motion and to optimize the spatial coverage achieved - Demonstrate the atmospheric path delay mitigation in a mountainous area, estimating height dependent and turbulent path delay components - Demonstrate filtering, phase unwrapping, and point data interpolation in a mountainous area (with significant foreshortening and layover) using programs working in map coordinates (instead of in the slant range geometry) - Demonstrate the estimation of deformation time series for a S1 data set covering only a short time period (5 months) - Demonstrate an approach to separate phase related to deformation and atmospheric path delay for localized, fast-moving deformations |
README last update: 2-Dec-2021 |
| IPTA_demo_S1_Aletsch_all_single_look_test.tar.gz | Present a possible alternative approach using all single-look
phases. It starts from the result generated in IPTA_demo_S1_Aletsch_from_orig
or IPTA_demo_S1_Aletsch_from_rslc. Objectives: - Avoid problems with non-zero closure phase encountered with multi-look phases - Optimize spatial coverage and reliability of results - Demonstrate alternative approach for multi-reference stack |
README last update: 15-Apr-2021 |
| IPTA_demo_S1_Athens.tar.gz |
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). - Demonstrate IPTA processing for S1 data. - Demonstrate the combined use of single-pixel and multi-look phases. - Demonstrate the use of a multi-reference stack to map fast non-uniform motion and to optimize the spatial coverage achieved. - Demonstrate alternative approaches to separate phase related to deformation and atmospheric path delay. - Data consists of a stack of co-registered SLC sections. |
README last update: 30-Aug-2021 |
| IPTA_demo_S1_Yibal_PSI.tar.gz |
IPTA processing example showing a time-series analysis process
using single-look Sentinel-1 DInSAR phases of a single-reference
stack to monitor the subsidence over an oil field in Oman. - Demonstrate a basic IPTA processing for a S1 data - Demonstrate the use of a single-reference stack - Demonstrate the estimation of deformation time series for a S1 data set covering a time period > 3 years, assuming that the deformation is potentially non-uniform - Demonstrate an approach to separate phase related to deformation and atmospheric path delay |
README last update: 17-Aug-2022 |
| Gamma_IPTA_demo_PALSAR2_ScanSAR_Mexico.tar.gz | Demonstrates an IPTA processing using PALSAR-2 ScanSAR data. Point
differential interferograms of multiple sub-swaths are mosaiced in
the map geometry – so that the main IPTA steps could be done as a
single processing. The regression analysis, atmosphere estimation
etc. is fully done in the map geometry using the recently added
related functionality. |
README last update: 24-Nov-2021 |
| Gamma_IPTA_demo_PALSAR2_Ticino.tar.gz | This demo example shows a single reference stack persistent
scatterer processing using IPTA for PALSAR-2 stripmap mode data over
Switzerland. For this mountainous site the estimation and
subtraction of a height dependent atmospheric path delay is an
important processing step. |
README last update: 22-Oct-2021 |
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