TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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Updated
May 12, 2024 - Python
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Satellite imagery for dummies.
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
framework for large-scale SAR satellite data processing
A library to create interactive maps of geographical datasets
Earth Observation Data Access Gateway
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Xarray backend to Copernicus Sentinel-1 satellite data products
Search and download Landsat scenes from EarthExplorer.
A Python interface between Earth Engine and xarray for processing time series data
Tile-based geodata processing using rasterio & Fiona
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
The Clay Foundation Model (in development)
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Python client API for OpenEO
🌎 Python SDK for UP42, the geospatial marketplace and developer platform.
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
The STARFM fusion model for Python
A Python package for Remote Sensing Data Analysis
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