Simple Workflows for End-to-End InSAR Time Series
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Updated
Jun 17, 2024 - Python
Simple Workflows for End-to-End InSAR Time Series
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
The Clay Foundation Model (in development)
i.sentinel_1 is a GRASS GIS addon toolset that searches, downloads, imports and preprocesses SAR data from the Alaska Satellite Facility using ESA's SNAP software
Miami InSAR time-series software in Python
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources.
Make downloading scientific data much easier
High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.
Sentinel-1 ARD Prototype Processor
Synthetic Aperture Radar (SAR) Level-1 GRD python mapper for efficient xarray/dask based processing
DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.
SAR sea state Ifremer processor
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️
Xarray backend to Copernicus Sentinel-1 satellite data products
The "Drought Early Warning System's DataHub" (DEWS-DH) is a satellite datahub which is used to show and store satellite image data. Metrics like the NDVI or SMI are calculated on demand. The images are imported into a PostGIS database were they can be requested by third-party software for further processing.
Tools and tutorials for the SALDi Data Cube (SDC).
SAR / InSAR Processing Workflow
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