#Remote-sensing
Showing 60 of 94 repositories tagged #remote-sensing, ranked by stars
Techniques for deep learning with satellite & aerial imagery
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Long list of geospatial tools and resources
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
๐ฐ๏ธ List of satellite image training datasets with annotations for computer vision and deep learning
GeoAI: Artificial Intelligence for Geospatial Data
A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
An open source library and framework for deep learning on satellite and aerial imagery.
GRASS - free and open-source geospatial processing engine
A collection of 300+ Python examples for using Google Earth Engine in QGIS
[ECCV 2026] Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
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
Global shoreline mapping tool from satellite imagery
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
A curated list of resources focused on Machine Learning in Geospatial Data Science.
interactive notebooks from Planet Engineering
Python module for hyperspectral image processing
[CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it enables efficient extraction of temporal patterns from Earth observation
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
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.
Remotes Sensing Semantic Segmentation
Data Preparation for Satellite Machine Learning
A python package that extends Google Earth Engine.
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
The official repo for [TPAMI'25] "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Satellite Image Classification using semantic segmentation methods in deep learning
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
Awesome Spectral Indices in Python.
[ESSD 2025 & IEEE DFC 2025 & CVPRW 2026] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
Jeo: Jax model training lib for Earth Observation
Desktop GUI for SNAP based on NetBeans Platform
An R package for visualizing movement data (e.g. from GPS tracking) and synchronous environmental data (e.g. from remote sensing) as video animations.
A collection of some awesome public object detection and recognition datasets.
Open-source ML platform for detecting deforestation, ice melt, and flooding from Sentinel-2 / Landsat imagery.
Manage, search, and download Earth Observation data with ฮฆ-down from Copernicus missions with ease and efficiency.
[Neural Networks 2025] Dual Selective Fusion Transformer Network for Hyperspectral Image Classification
Earth Observation Data Analysis Library
OpenAthena allows common drones to spot precise geodetic locations
Shell scripts for setting up Manjaro Linux for Python programming and deep learning
Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.
A python tool to perform deep learning experiments on multimodal remote sensing data.
RS-Agent: An LLM-driven Remote Sensing Intelligent Agent
An introduction to script-based satellite image processing using Python
An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)
ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 - Best Student Paper Award
GeoTile is the python library for tiling the geographic raster data (eg. Tiff etc)
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Satellite image processing pipeline to classify land-cover and land-use