Estimate crop type distribution in South Africa using Google Earth Engine cloud computing

Detalles Bibliográficos
Autores principales: Guo, Zhe, Sheng, Andrew
Formato: Conference Paper
Lenguaje:Inglés
Publicado: IEEE 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/143020
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author Guo, Zhe
Sheng, Andrew
author_browse Guo, Zhe
Sheng, Andrew
author_facet Guo, Zhe
Sheng, Andrew
author_sort Guo, Zhe
collection Repository of Agricultural Research Outputs (CGSpace)
format Conference Paper
id CGSpace143020
institution CGIAR Consortium
language Inglés
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher IEEE
publisherStr IEEE
record_format dspace
spelling CGSpace1430202024-10-25T08:00:23Z Estimate crop type distribution in South Africa using Google Earth Engine cloud computing Guo, Zhe Sheng, Andrew crops technology spatial analysis land reform land policies 2021-09-20 2024-05-22T12:11:34Z 2024-05-22T12:11:34Z Conference Paper https://hdl.handle.net/10568/143020 en Limited Access IEEE Guo, Zhe; and Sheng, Andrew. 2021. Estimate crop type distribution in South Africa using Google Earth Engine cloud computing. Presented at the 2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Shenzhen, China, July 26-29, 2021. https://doi.org/10.1109/Agro-Geoinformatics50104.2021.9530332
spellingShingle crops
technology
spatial analysis
land reform
land policies
Guo, Zhe
Sheng, Andrew
Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
title Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
title_full Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
title_fullStr Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
title_full_unstemmed Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
title_short Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
title_sort estimate crop type distribution in south africa using google earth engine cloud computing
topic crops
technology
spatial analysis
land reform
land policies
url https://hdl.handle.net/10568/143020
work_keys_str_mv AT guozhe estimatecroptypedistributioninsouthafricausinggoogleearthenginecloudcomputing
AT shengandrew estimatecroptypedistributioninsouthafricausinggoogleearthenginecloudcomputing