https://github.com/asfhyp3/hyp3-gamma
HyP3 plugin for generating SAR products with GAMMA
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Repository
HyP3 plugin for generating SAR products with GAMMA
Basic Info
Statistics
- Stars: 34
- Watchers: 20
- Forks: 7
- Open Issues: 22
- Releases: 102
Metadata Files
README.md
HyP3 GAMMA
HyP3 plugin for SAR processing with GAMMA
Developer Setup
Ubuntu 20.04 is recommended for GAMMA support.
- Install GAMMA
- Install conda
- Install
hyp3_gammagit clone git@github.com:ASFHyP3/hyp3-gamma.git cd hyp3-gamma conda env create -f environment.yml conda activate hyp3-gamma - Check hyp3gamma is installed ``` hyp3gamma --help ```
Radiometric Terrain Correction (RTC)
SAR datasets inherently contain geometric and radiometric distortions due to terrain being imaged by a side-looking instrument. Radiometric terrain correction (RTC) removes these distortions and creates analysis-ready data suitable for use in GIS applications. RTC processing is a required first step for many amplitude-based SAR applications.
To run the RTC science process:
rtc_sentinel.py --help
rtc_sentinel.py S1A_IW_SLC__1SSV_20150621T120220_20150621T120232_006471_008934_72D8.SAFE
To run the RTC process through the HyP3 interface:
hyp3_gamma ++process rtc --help
hyp3_gamma ++process rtc --username ${EDL_USERNAME} --password ${EDL_PASSWORD} \
S1A_IW_SLC__1SSV_20150621T120220_20150621T120232_006471_008934_72D8
Interferometric Synthetic Aperture Radar (InSAR)
Interferometric SAR (InSAR) uses the phase differences from repeat passes over the same area to identify regions where the distance between the sensor and the Earth's surface has changed. This allows for the detection and quantification of deformation or movement.
To run the InSAR science process:
ifm_sentinel.py --help
ifm_sentinel.py \
S1A_IW_SLC__1SDV_20200203T172103_20200203T172122_031091_03929B_3048.SAFE \
S1A_IW_SLC__1SDV_20200110T172104_20200110T172123_030741_03864E_A996.SAFE
To run the InSAR process through the HyP3 interface:
hyp3_gamma ++process insar --help
hyp3_gamma ++process insar --username ${EDL_USERNAME} --password ${EDL_PASSWORD} \
S1A_IW_SLC__1SDV_20200203T172103_20200203T172122_031091_03929B_3048 \
S1A_IW_SLC__1SDV_20200110T172104_20200110T172123_030741_03864E_A996
Example product metadata
The hyp3_gamma.metadata subpackage can generate an example set of product metadata
for each of the supported product types. E.g.:
python -m hyp3_gamma.metadata rtc
python -m hyp3_gamma.metadata insar
For detailed usage, see the metadata README.
Owner
- Name: HyP3
- Login: ASFHyP3
- Kind: organization
- Location: Fairbanks, AK
- Website: https://hyp3-docs.asf.alaska.edu/
- Twitter: ASFHyP3
- Repositories: 36
- Profile: https://github.com/ASFHyP3
Alaska Satellite Facility's Hybrid Pluggable Processing Pipeline
GitHub Events
Total
- Create event: 80
- Issues event: 5
- Release event: 6
- Watch event: 4
- Delete event: 70
- Issue comment event: 43
- Push event: 124
- Pull request review comment event: 33
- Pull request review event: 81
- Pull request event: 143
- Fork event: 1
Last Year
- Create event: 80
- Issues event: 5
- Release event: 6
- Watch event: 4
- Delete event: 70
- Issue comment event: 43
- Push event: 124
- Pull request review comment event: 33
- Pull request review event: 81
- Pull request event: 143
- Fork event: 1
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 15
- Total pull requests: 250
- Average time to close issues: 5 months
- Average time to close pull requests: 7 days
- Total issue authors: 6
- Total pull request authors: 15
- Average comments per issue: 2.0
- Average comments per pull request: 0.28
- Merged pull requests: 223
- Bot issues: 0
- Bot pull requests: 58
Past Year
- Issues: 3
- Pull requests: 61
- Average time to close issues: about 2 months
- Average time to close pull requests: 5 days
- Issue authors: 3
- Pull request authors: 8
- Average comments per issue: 2.67
- Average comments per pull request: 0.48
- Merged pull requests: 42
- Bot issues: 0
- Bot pull requests: 44
Top Authors
Issue Authors
- asjohnston-asf (11)
- cirrusasf (2)
- jtherrmann (2)
- ZGHHGZ (1)
- AndrewPlayer3 (1)
- hjkristenson (1)
Pull Request Authors
- dependabot[bot] (74)
- talogan (49)
- asjohnston-asf (33)
- khogenso (29)
- AndrewPlayer3 (24)
- cirrusasf (22)
- jtherrmann (15)
- jhkennedy (14)
- forrestfwilliams (9)
- hjkristenson (7)
- williamh890 (4)
- rudigens (4)
- jacquelynsmale (3)
- Jlrine2 (2)
- ninneman (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- gdal *
- geopandas *
- hyp3lib >=1.7.0,<2
- importlib_metadata *
- jinja2 *
- lxml *
- numpy >=1.17,<1.18
- pillow *
- python-dateutil *
- actions/checkout v3 composite
- akhilerm/tag-push-action v2.1.0 composite
- aws-actions/amazon-ecr-login v1 composite
- aws-actions/configure-aws-credentials v1 composite
- docker/build-push-action v4 composite
- docker/setup-buildx-action v2 composite
- ubuntu 22.04 build
- flake8
- flake8-blind-except
- flake8-builtins
- flake8-import-order
- gdal >=3.4,<3.5
- geopandas
- jinja2
- numpy >=1.21,<1.22
- pillow
- pip
- pytest
- pytest-console-scripts
- pytest-cov
- python 3.10.*
- python-dateutil
- rtree
- setuptools
- setuptools_scm
- wheel