Techniques for deep learning with satellite & aerial imagery
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Updated
Jan 31, 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
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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
A curated list of Google Earth Engine resources
An advanced geospatial data analysis platform
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.
Rotational region detection based on Faster-RCNN.
GRASS GIS - free and open source Geographic Information System (GIS)
A repository of custom scripts to be used with Sentinel Hub
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