A set of Python utilities for downloading Sentinel-1 Burst data and metadata via S3 with minimal GET requests and data download:

The main innovation of these utilities is that they allow downloading of burst data without downloading the surrounding data from the swath they're contained in. These has been difficult because DEFLATE compressed data is not set up for random read access. This innovation is made possible by the zran.c utility created by Mark Adler and its implementation in Paul McCarthy's indexed_gzip package.

Install the requirements using Mamba or Conda using the command:

mamba create -f envirnoment.yml or conda env create -f envirnoment.yml

Activate the environment: mamba (or conda) activate bursts

Then, from within the top-level package directory, run: python -m pip install -e .

Run create_index.py Ex:

create_index S1A_IW_SLC__1SDV_20200604T022251_20200604T022318_032861_03CE65_7C85

This will create a {GRANULE_NAME}.json and burst index json files ({GRANULE_NAME}_{SWATH_NAME_{POLARIZATION}.json) that contain the information needed to download the metadata/data directly.

Then, run extract_burst.py Ex:

extract_burst S1A_IW_SLC__1SDV_20200604T022251_20200604T022318_IW2_VV_0.json

to get the burst image data

Then, run extract_metadata.py Ex:

extract_metadata S1A_IW_SLC__1SDV_20200604T022251_20200604T022318.json

to get the burst metadata