remote-sensing

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

🛰️ 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.

🚀Official Repository of Intelligent Remote Sensing Agents: A Survey

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

🤗 Official implementation for "CC-Pan: Channel-wise Compression based Diffusion for Efficient Pan-Sharpening" https://arxiv.org/abs/2602.04473

Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".

Using StableDiffusion and ControlNet to generate synthetic aerial images

Implementation dino v2 for remote sensing with huggingface transformers

[IEEE TGRS 2025] Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices

A collection of Earth Engine Apps created using geemap and voila

[ISPRS P&RS 2023] Official Python Implementation of Fourier domain structural relationship analysis for unsupervised multimodal change detection

Google Earth Engine tool to generate multi-modal and multi-temporal datasets, including spatially and temporally aligned Sentinel-1 SAR data, Sentinel-2 multispectral data, weather and DEM-based data. A supplementary material for Paluba et al. 2024: "Identification of Optimal Sentinel-1 SAR Polarimetric Parameters for Forest Monitoring in Czechia