Techniques for deep learning with satellite & aerial imagery
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Updated
Jun 12, 2023
Techniques for deep learning with satellite & aerial imagery
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Long list of geospatial tools and resources
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
An open source library and framework for deep learning on satellite and aerial imagery.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
List of datasets, codes, and contests related to remote sensing change detection
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Search and download Copernicus Sentinel satellite images
A collection of 300+ Python examples for using Google Earth Engine in QGIS
An advanced geospatial data analysis platform
A curated list of Google Earth Engine resources
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
GRASS GIS - free and open source Geographic Information System (GIS)
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A repository of custom scripts to be used with Sentinel Hub
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