How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
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.
The main features of bopen/xarray-sentinel are: Satellite Datasets, Software And Utilities.
Open-source alternatives to bopen/xarray-sentinel 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. birgander2/pyrat. bminchew/pysar. bopen/sarsen. acgeospatial/sentinel-5p — Sentinel5P_Python.
