Difference between revisions of "GRASS GSoC 2024 EODAG Support"

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=== Abstract ===
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Accepted Google Summer of Code 2024 project.
The project focuses on writing a Python library for GRASS GIS that utilizes EODAG API. Currently, GRASS uses different APIs for each satellite data provider. As a result, a lot of maintenance has to be done to keep up with the changes happening to all the different APIs. Thus, adding EODAG support to GRASS GIS will provide a lot of flexibility in the future development of GRASS, by decreasing the amount of maintenance needed to keep up with all the different APIs updated, and instead maintain the support for EODAG library. Deliverables for this proposal are supporting Sentinel, Landsat, and MODIS datasets with EODAG, and reimplementation of both i.sentinel.download and i.landsat.download modules with the new GRASS EODAG library.
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{| class='wikitable'
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|Student Name: || [[User:Hamed5001|Hamed Ashraf Elgizery]], [https://www.aast.edu/ AASTMT, Smart-Village, Giza, Egypt]
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|Organization: || [http://www.osgeo.org OSGeo - Open Source Geospatial Foundation]
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| Mentor Name: || Luca Delucchi, Veronica Andreo, Stefan Blumentrath
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| Title: || '''Add EODAG support to GRASS GIS'''
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;Abstract
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::The project focuses on writing a Python library for GRASS GIS that utilizes EODAG API. Currently, GRASS uses different APIs for each satellite data provider. As a result, a lot of maintenance has to be done to keep up with the changes happening to all the different APIs. Thus, adding EODAG support to GRASS GIS will provide a lot of flexibility in the future development of GRASS, by decreasing the amount of maintenance needed to keep up with all the different APIs updated, and instead maintain the support for EODAG library. Deliverables for this proposal are supporting Sentinel, Landsat, and MODIS datasets with EODAG, and reimplementation of both i.sentinel.download and i.landsat.download modules with the new GRASS EODAG library.
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__TOC__
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== Application ==

Revision as of 14:31, 10 May 2024

Accepted Google Summer of Code 2024 project.

Student Name: Hamed Ashraf Elgizery, AASTMT, Smart-Village, Giza, Egypt
Organization: OSGeo - Open Source Geospatial Foundation
Mentor Name: Luca Delucchi, Veronica Andreo, Stefan Blumentrath
Title: Add EODAG support to GRASS GIS
Abstract
The project focuses on writing a Python library for GRASS GIS that utilizes EODAG API. Currently, GRASS uses different APIs for each satellite data provider. As a result, a lot of maintenance has to be done to keep up with the changes happening to all the different APIs. Thus, adding EODAG support to GRASS GIS will provide a lot of flexibility in the future development of GRASS, by decreasing the amount of maintenance needed to keep up with all the different APIs updated, and instead maintain the support for EODAG library. Deliverables for this proposal are supporting Sentinel, Landsat, and MODIS datasets with EODAG, and reimplementation of both i.sentinel.download and i.landsat.download modules with the new GRASS EODAG library.

Application