Statistics for topic remote-sensing
RepositoryStats tracks 610,147 Github repositories, of these 343 are tagged with the remote-sensing topic. The most common primary language for repositories using this topic is Python (203). Other languages include: Jupyter Notebook (61), R (12), JavaScript (11)
Stargazers over time for topic remote-sensing
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TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Techniques for deep learning with satellite & aerial imagery
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
A collection of 300+ Python examples for using Google Earth Engine in QGIS
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
Community Datasets added by users and made available for use at large
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
[NIPS'23] Official Code of the paper "Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing"
[IEEE GRSS DFC 2025 Track II] BRIGHT: A globally distributed multimodal VHR dataset for all-weather disaster response
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"
GeoPixel: A Pixel Grounding Large Multimodal Model for Remote Sensing is specifically developed for high-resolution remote sensing image analysis, offering advanced multi-target pixel grounding capabi...
Techniques for deep learning with satellite & aerial imagery
[IEEE GRSS DFC 2025 Track II] BRIGHT: A globally distributed multimodal VHR dataset for all-weather disaster response
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"
🦕 [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
Using Deep Learning and satellite imagery to detect Urban Heat Island (UHI) effects
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"