• ProjectPythia/geostationary-co...

Treffer: ProjectPythia/geostationary-cookbook: Geostationary satellite Cookbook

Title:
ProjectPythia/geostationary-cookbook: Geostationary satellite Cookbook
Authors:
Jorge Humberto, Bravo Méndez, Sundar, Srihari, Mapes, Brian, Shekhar, Suman, Nguyen, Tri, Khider, Deborah
Publisher Information:
Zenodo
Publication Year:
2024
Collection:
Zenodo
Document Type:
E-Ressource software
Language:
unknown
Relation:
https://github.com/ProjectPythia/geostationary-cookbook/tree/v1.0.0; https://zenodo.org/records/14231916; oai:zenodo.org:14231916; https://doi.org/10.5281/zenodo.14231916
DOI:
10.5281/zenodo.14231916
Availability:
https://doi.org/10.5281/zenodo.14231916
https://zenodo.org/records/14231916
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.ECEEB802
Database:
BASE

Weitere Informationen

This "Pythia Cookbook" was started during Project Pythia June 11-14 2024 in Boulder, CO at the NCAR Mesa Lab. The "COOKBOOK GEOSAT" aims to provide a comprehensive guide for utilizing Satpy to analyze geostationary satellite data of the sensor Advanced Baseline Imager (ABI) on GOES-R (west and east), sensor Advanced Himawari Imager (AHI) on HIMAWARI, and sensor Advance Meteorological Imager (AMI) on Geo-KOMPSAT-2A (GK2A). Satpy is a powerful Python library specifically designed for processing and analyzing satellite data, offering capabilities for data visualization, manipulation, and analysis.