Identification of Poverty Areas by Remote Sensing and Machine Learning: A Case Study in Guizhou, Southwest China

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dc.contributor.authorJian Yin
dc.contributor.authorYuanhong Qiu
dc.contributor.authorBin Zhang
dc.date.accessioned2025-05-14T12:02:36Z
dc.date.available2025-05-14T12:02:36Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19829
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleIdentification of Poverty Areas by Remote Sensing and Machine Learning: A Case Study in Guizhou, Southwest China
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution3ec8bf35-81ad-4a4a-9553-c1611b777f86
relation.isDatasetOfDistribution.latestForDiscovery3ec8bf35-81ad-4a4a-9553-c1611b777f86

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