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TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
This example demonstrates a few ways to get data into your binder.
Easily access and explore the SAR data products of the Copernicus Sentinel-1 satellite mission in Python.
This repository has two python packages, geoTools and evalTools. The geoTools packages is intended to assist in the preprocessing of SpaceNet satellite imagery data corpus hosted on SpaceNet on AWS to a format that is consumable by machine learning algorithms. The evalTools package is used to…
The main features of spacenetchallenge/utilities are: Satellite Datasets.
Open-source alternatives to spacenetchallenge/utilities include: torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… binder-examples/getting-data — This example demonstrates a few ways to get data into your binder. bopen/xarray-sentinel — Easily access and explore the SAR data products of the Copernicus Sentinel-1 satellite mission in Python. chrieke/awesome-satellite-imagery-datasets — 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning. ckyrkou/emergencynet — There is a need to design specialized networks that are inherently computationally efficient to enable there use in… acgeospatial/sentinel-5p — Sentinel5P_Python.
