There are 96 repositories under remote-sensing topic.
Resources for deep learning with satellite & aerial imagery
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
A lightweight vision library for performing large scale object detection/ instance segmentation.
An open source framework for deep learning on satellite and aerial imagery.
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
List of datasets, codes, and contests related to remote sensing change detection
Search and download Copernicus Sentinel satellite images
TorchGeo: datasets, transforms, and models for geospatial data
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Rotational region detection based on Faster-RCNN.
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.
An advanced geospatial data analysis platform
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.
A collection of Python packages for geospatial analysis with binder-ready notebook examples
A repository of custom scripts to be used with Sentinel Hub
interactive notebooks from Planet Engineering
Deep networks for Earth Observation
Data Preparation for Satellite Machine Learning
Python module for hyperspectral image processing
Global shoreline mapping tool from satellite imagery
Open Data Cube analyses continental scale Earth Observation data through time
A curated list of resources focused on Machine Learning in Geospatial Data Science.
This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
framework for large-scale SAR satellite data processing
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
Miami InSAR time-series software in Python
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.
:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
Github mirror of https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.