There are 207 repositories under remote-sensing topic.
Techniques for deep learning with satellite & aerial imagery
Long list of geospatial tools and resources
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
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 curated list of Google Earth Engine resources
An advanced geospatial data analysis platform
A collection of 300+ Python examples for using Google Earth Engine in QGIS
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
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.
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
Community Datasets added by users and made available for use at large
A collection of Python packages for geospatial analysis with binder-ready notebook examples
:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
A repository of custom scripts to be used with Sentinel Hub
Datasets for deep learning with satellite & aerial imagery
interactive notebooks from Planet Engineering
Rotational region detection based on Faster-RCNN.
Python module for hyperspectral image processing
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Open Data Cube analyses continental scale Earth Observation data through time