Introduction
Access Google’s multi-petabytes of SAR Imagery data from your python code with no dimension restraint. Simply supply coordinates, a time interval and obtain a stack of Sentinel-1 preprocessed PolSAR images. This enables quick data analysis of GRD images to get better insights of the temporal dimension in SAR data without having to bother with essential but potentially time-consuming steps such as coregistration or calibration.
Compatible with python 3.
Installation
Access to Google Earth Engine is conditioned by the obtention of a GEE account. Once created, you can install the geesarfetcher API and register an identifying token for your Python working environment using the following commands:
pip install geesarfetcher
earthengine authenticate
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
License
Thomas Di Martino
PhD Student in AI & Remote Sensing
My research interests include deep learning technologies, automatic feature extraction and computer vision, all of them applied to Remote Sensing problematics, more precisely to Synthetic Aperture Radar (SAR) acquisitions.