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Code for: Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using Landsat imagery and generalized space-time classifiers

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DataCite Commons2023-10-25 更新2025-04-09 收录
下载链接:
https://dataverse.cirad.fr/citation?persistentId=doi:10.18167/DVN1/DQXFZG
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资源简介:
This dataset includes the Google Earth Engine (GEE) code used to produce the results of the following scientific article: Luciano, A.C.S, Campagnuci, B.C.G., le Maire, G., Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using Landsat imagery and generalized space-time classifiers, Remote Sensing Applications: Society and Environment (accepted for publication)
提供机构:
CIRAD Dataverse
创建时间:
2022-04-08
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