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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.
Projects with overlapping indexed features 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 — General purpose Synthetic Aperture Radar (SAR) postprocessing software package. bminchew/pysar. bopen/sarsen — Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors. acgeospatial/sentinel-5p — Sentinel5P_Python.
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.
General purpose Synthetic Aperture Radar (SAR) postprocessing software package
