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