Automated satellite image workflow for Sentinel-2.
Project description
Search, download and patch Copernicus Sentinel-2 data into appealing color images. Colors are adapted to human perception and fit for dark oceans as well as bright snow surfaces.
Requires GDAL, ImageMagick, XMLStarlet, and a registration to the Copernicus Open Access Hub. A Python port is under preparation.
Installation:
pip install sentinelflow
To fetch the latest cloud-free image over the Aletsch Glacier use:
sentinelflow.sh --user USERNAME --pass PASSWORD --cloudcover 10 \ --intersect 46.4,8.1 --maxrows 1 --tiles 32TMS \ --extent 417000,5138000,432000,5158000
Please refer to the Sentinel-2 data products documentation to find your corresponding tile(s). The image extent is given in UTM coordinates of the local zone. For additional command-line help use:
sentinelflow.sh --help
Please acknowledge usage in all derivative products, for instance with the mention:
Contains modified Copernicus Sentinel data (year). Processed with Sentinelflow (version).
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for sentinelflow-0.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f89e9318aa69d268188f151d17f45a03bd3a3b55987273f8bd5befe801f5c1c |
|
MD5 | deaf856d21a12a369a5bc7a05a56a019 |
|
BLAKE2b-256 | 6943ca2ff8c20fb4bf51b2b5dd5885b328c3011b7a23a50b62289e5575d7633f |