GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
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Updated
May 16, 2024 - C++
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Techniques for deep learning with satellite & aerial imagery
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Long list of geospatial tools and resources
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
An open source library and framework for deep learning on satellite and aerial imagery.
List of datasets, codes, and contests related to remote sensing change detection
interactive notebooks from Planet Engineering
A repository of custom scripts to be used with Sentinel Hub
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
GRASS GIS - free and open-source geospatial processing engine
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Miami InSAR time-series software in Python
Search and download Copernicus Sentinel satellite images
Global shoreline mapping tool from satellite imagery
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Rotational region detection based on Faster-RCNN.
A curated list of Google Earth Engine resources
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