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Number | Category | Tool Name | Description | Link |
---|---|---|---|---|
1 | Image processing | Spectral Python | Library for hyperspectral image processing | http://www.spectralpython.net/ |
2 | Geospatial data | GDAL | Translator library for raster and vector geospatial data formats | https://gdal.org/ |
3 | Mineralogy | Mineral Catalog | Python package for mineralogical analysis | https://github.com/python-force/Mineral-Catalog |
4 | Geochemistry | PyGeochemTools | Python package for geochemical data analysis | https://github.com/RADutchie/pygeochemtools |
5 | Geological modeling | GebPy | Python package for 3D geological modeling | https://github.com/MABeeskow/GebPy |
6 | Machine learning | Mineral Exploration Machine Learning | Python package for mineral exploration using machine learning | https://github.com/RichardScottOZ/mineral-exploration-machine-learning |
7 | Geochemistry | DashGeochemicalProspection | Dash app for geochemical data analysis | https://github.com/pvabreu7/DashGeochemicalProspection |
8 | Geological data analysis | Ninhursag | Python package for geological data analysis | https://github.com/peterhil/ninhursag |
9 | Core description | Coredesc | Python package for core description data analysis | https://github.com/risyadrzky/Coredesc |
10 | Geostatistics | Prognoz | Python package for geostatistical modeling | https://github.com/sepgeo/prognoz |
11 | Geostatistics | PyGSLIB | Python package for geostatistical analysis | https://opengeostat.github.io/pygslib/ |
12 | Geospatial data | Rasterio | Library for reading and writing geospatial raster data | https://rasterio.readthedocs.io/en/latest/ |
13 | Remote sensing | PySAR | Python package for Synthetic Aperture Radar (SAR) data processing | https://github.com/insarlab/PySAR |
14 | Mineralogy | PyMKS | Python package for materials science and mineralogy | https://pymks.org/en/latest/ |
15 | Geostatistics | PyKrige | Python package for interpolation and regression using kriging | https://github.com/bsmurphy/PyKrige |
16 | Geospatial data | Google Earth Engine | Platform for analyzing geospatial data using satellite imagery | https://earthengine.google.com/ |
17 | Geospatial data | QGIS | Cross-platform desktop geographic information system | https://qgis.org/ |
18 | Coal geology | PyCoal | Python toolset for coal geology | https://github.com/capstone-coal/pycoal |
19 | ChatBot | Alpaca | Use Stanford’s $600 approach to create a GPT4 clone chat bot trained on your organization’s proprietary data. | https://github.com/tatsu-lab/stanford_alpaca |
20 | Geospatial Data | PyGIS | Open Source Spatial Programming & Remote Sensing | pygis.io/ |
21 | Geospatial Analysis | Leafmap | A python package for geospatial analysis and interactive mapping in Jupyter notebooks | https://leafmap.org/ |
22 | Satellite Imagery Analysis | pyGMTSAR | satellite interferometry (InSAR) processing for Sentinel-1 radar scenes across various environments. | https://github.com/mobigroup/gmtsar |
23 | Databse | Grout | the flexibility of NoSQL databases with the geospatial muscle of PostGIS. | https://github.com/azavea/grout |
24 | Deep Learning | Azavea RasterVision | suite of utilities for dealing with all aspects of a geospatial deep learning workflow | https://github.com/azavea/raster-vision |
25 | Visualization | Acavea TileGarden | a serverless tile-rendering tool using Mapnik | |
, built for AWS Lambda | https://github.com/azavea/tilegarden | |||
26 | Quality Control | Iquaflow | measure satellite image quality using pre-trained AI models. Includes metrics such as SNR, MTF, FWHM or RER as well as image modifiers. | https://github.com/satellogic/iquaflow |
27 | Deep Learning / Education | Satellite Image Deep Learning | Training and deployment of deep learning models applied to satellite and aerial imagery. | https://github.com/satellite-image-deep-learning/model-training-and-deployment |
28 | Machine Learning / Education | ARSET ML Fundamentals | Fundamentals of Machine Learning for Earth Science | https://github.com/NASAARSET/ARSET_ML_Fundamentals |
29 | Database | AtlasHDF | An efficient big data framework for GeoAI | https://github.com/tum-bgd/atlashdf |
30 | Database | Large Image | process large multispectral geospatial images | https://github.com/girder/large_image |
31 | Modeling and Simulation | Geoblock | estimation of recoverable mineral reserves | https://github.com/geoblock/Geoblock |
32 | Modeling and Simulation | xCDAT | generalizable features and utilities for simple and robust analysis of climate data | https://github.com/xCDAT/xcdat |
33 | Deep Learning | Scale-MAE | reimplementation of the code for Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning | https://github.com/bair-climate-initiative/scale-mae |
34 | Geospatial Analysis | GeoUtils | geospatial analysis of raster and vector objects in pure python (equivalent of GDAL cmd line). | https://github.com/GlacioHack/geoutils/ |
35 | Deep Learning Sueprresolution | S2S2Net | Sentinel-2 Super-resolution segmentation network | https://github.com/weiji14/s2s2net |
36 | Deep Learning | SamGeo | segment geospatial data with the SAM model. | https://samgeo.gishub.org/examples/satellite/ |
37 | Deep Learning | DeepIceDrain | Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning. | https://github.com/weiji14/deepicedrain |
38 | Geospatial Analysis | PyGMT | Python interface for the ****Generic Mapping Tools | https://www.pygmt.org/latest/ |
39 | Geospatial Analysis | Zen3Geo | Earth observation AI pipelines with pytorch. | https://github.com/weiji14/zen3geo |
40 | Data | Openterrain | freely-available terrain datasets for the entire world with cloud-based tools and workflows | https://github.com/openterrain/openterrain |
41 | Language Model | MiniGPT-4 | Opensource version of GPT4 | https://github.com/Vision-CAIR/MiniGPT-4 |
42 | INSAR Processing | StaMPS (Stanford Method for Persistent Scatterers) | Extract ground displacements from time series synthetic aperture radar (SAR). | https://github.com/dbekaert/StaMPS |
43 | INSAR Processing | ISCE (Interferometric synthetic aperture radar Scientific Computing Environment) | Processing Interferometric Synthetic Aperture Radar (InSAR) data | https://github.com/isce-framework/isce2 |
44 | Deep Learning | Yolo v8 | Object detection and tracking | https://github.com/autogyro/yolo-V8 |
45 | SAR Processing | Sentinel Toolboxes | Processing and visualizing Sentinel satellite data series | https://github.com/senbox-org |
46 | SAR Processing | ESA Toolboxes | Portal for downloading all ESA data processing toolboxes, Sentinel through PolSARPro | https://step.esa.int/main/toolboxes/ |
47 | Geostatistics | GeoStatsPy | brings GSLIB: Geostatistical Library (Deutsch and Journel, 1998) functions to Python. | https://github.com/GeostatsGuy/GeostatsPy |
48 | GeoTorchAI | GeoTorchAI | spatiotemporal deep learning framework built on PyTorch | https://github.com/wherobots/GeoTorchAI |
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