Identification of Poverty Areas by Remote Sensing and Machine Learning: A Case Study in Guizhou, Southwest China
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| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2220-9964 | |
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| datacite.relatedItem.title | IJGI | |
| datacite.relatedItem.volume | 10 | |
| dc.contributor.author | Jian Yin | |
| dc.contributor.author | Yuanhong Qiu | |
| dc.contributor.author | Bin Zhang | |
| dc.date.accessioned | 2025-05-14T12:02:36Z | |
| dc.date.available | 2025-05-14T12:02:36Z | |
| dc.date.issued | 2020 | |
| dc.identifier.doi | https://doi.org/10.3390/ijgi10010011 | |
| dc.identifier.other | jz000145-0011 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/19828 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 550 | |
| dc.title | Identification of Poverty Areas by Remote Sensing and Machine Learning: A Case Study in Guizhou, Southwest China | |
| dc.type | Article | |
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