TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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Updated
Jul 15, 2024 - Python
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Satellite imagery for dummies.
Search and download Copernicus Sentinel satellite images
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Download and process satellite imagery in Python using Sentinel Hub services.
Data Preparation for Satellite Machine Learning
Pytorch implementation of ResUnet and ResUnet ++
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
A python package that extends Google Earth Engine.
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Open solution to the Mapping Challenge 🌎
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Earth Observation Data Access Gateway
A collection of all earth related space Images in one script to set as your Desktop background.
🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
A list of open geospatial datasets on AWS
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.
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