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UID:pretalx-foss4g-2022-7ZCG97@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T110000
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DESCRIPTION:Nowadays\, we observe a rise in publicly accessible Earth Obser
 vation (EO) data. Together with it\, there is more and more EO data provid
 ers\, each potentially having a different data access policy. This differe
 nce is visible at various levels: in the data discovery (CSW\, OpenSearch 
 more or less custom\, etc.)\, in the product access (object storage\, down
 loads\, direct file system access\, etc.)\, in the storage structure and i
 n the authentication mechanisms (OAUTH\, JWT\, basic auth\,…). All these
  different technologies add a knowledge overhead on a user (end-user or ap
 plication developer) wishing to take advantage of these data. EODAG was de
 signed to solve this problem.\n\nEODAG (Earth Observation Data Access Gate
 way) is a command line tool and a Python package for searching and downloa
 ding remotely sensed images while offering a unified API for data access r
 egardless of the data provider.\n\nIt gives you an easy way to access prod
 ucts from more than 10 providers\, with more than 50 different product typ
 es (Sentinel 1\, Sentinel 2\, Sentinel 3\, Landsat\, etc.) that can be sea
 rched and downloaded.\n\nEODAG has the following primary features: search 
 and download Earth Observation products from different providers with a un
 ified API. It is both a Command Line Tool and a Python Package. It support
 s STAC API and Static STAC catalogs. It can run as a STAC API REST server 
 to give access to a provider’s catalog. New providers can be added with 
 a configuration file or by extending EODAG with plugins.\n\nEODAG ecosyste
 m includes EODAG-Labextension\, a Jupyterlab extension allowing to search 
 and browse for remote sensed imagery directly from JupyterLab. It also inc
 ludes EODAG-Cube for having a direct access to data and stream it to a Xar
 ray Dataset.
DTSTAMP:20260404T024054Z
LOCATION:General online
SUMMARY:EODAG (Earth Observation Data Access Gateway) - Sylvain Brunato\, V
 incent Gaudissart
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/7ZCG97/
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