Trending repositories for topic satellite-imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Techniques for deep learning with satellite & aerial imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Datasets for deep learning with satellite & aerial imagery
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
Datasets for deep learning with satellite & aerial imagery
Techniques for deep learning with satellite & aerial imagery
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Datasets for deep learning with satellite & aerial imagery
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
Datasets for deep learning with satellite & aerial imagery
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Techniques for deep learning with satellite & aerial imagery
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Interactive interface for browsing global, full-resolution satellite imagery
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Datasets for deep learning with satellite & aerial imagery
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
A Curated List of Python Resources for Earth Sciences
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
A python toolbox for easily searching, downloading & processing remote sensing imagery from various public sources. Includes a Sentinel-1 InSAR processor.
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
Datasets for deep learning with satellite & aerial imagery
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for...
Esri World Imagery Wayback App - Explore, compare and start using all different versions of World Imagery Basemap released since 2014
An introduction to script-based satellite image processing using Python
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Annotation of datasets for deep learning applied to satellite and aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
Techniques for deep learning with satellite & aerial imagery
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Datasets for deep learning with satellite & aerial imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Open-source satellite tracker and pass predictor for Android, inspired by Gpredict
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
Download and process satellite imagery in Python using Sentinel Hub services.
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
A Curated List of Python Resources for Earth Sciences
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
Official PyTorch implementation and benchmark dataset for IGARSS 2024 ORAL paper: "Composed Image Retrieval for Remote Sensing"
A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
[IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
[IROS 2023] Official repository for "Long-range UAV Thermal Geo-localization with Satellite Imagery"
Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
Awesome projects, papers, and tools for working with hyperspectral imagery
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for...
Application of deep learning for earth observation.
Open Satellite Image Cloud Detection Resources (Datasets and Tools)
Datasets for deep learning with satellite & aerial imagery
Annotation of datasets for deep learning applied to satellite and aerial imagery
Web App for showcasing Geostationary Weather Satellite Data
Tools and libraries for processing satellite images (push-broom, frame and push-frame), including rigorous sensor model (RSM) refinement, rational function model (RFM) refinement, orthorectification, ...