Improving crop type mapping by integrating LSTM with temporal random masking and pixel-set spatial information
| cg.authorship.types | CGIAR and developing country institute | |
| cg.authorship.types | CGIAR single centre | |
| cg.contributor.affiliation | Huazhong Agricultural University | |
| cg.contributor.affiliation | Central China Normal University | |
| cg.contributor.affiliation | Chinese Academy of Agricultural Sciences | |
| cg.contributor.affiliation | International Food Policy Research Institute | |
| cg.contributor.donor | National Key Research and Development Program, China | |
| cg.contributor.donor | National Natural Science Foundation of China | |
| cg.contributor.donor | CGIAR Trust Fund | |
| cg.contributor.initiative | Climate Resilience | |
| cg.contributor.initiative | Digital Innovation | |
| cg.contributor.initiative | Foresight | |
| cg.creator.identifier | Liangzhi You: 0000-0001-7930-8814 | |
| cg.howPublished | Formally Published | |
| cg.identifier.doi | https://doi.org/10.1016/j.isprsjprs.2024.10.013 | |
| cg.identifier.project | IFPRI - Foresight and Policy Modeling Unit | |
| cg.identifier.publicationRank | Not ranked | |
| cg.isijournal | ISI Journal | |
| cg.issn | 0924-2716 | |
| cg.journal | ISPRS Journal of Photogrammetry and Remote Sensing | |
| cg.reviewStatus | Peer Review | |
| cg.subject.actionArea | Systems Transformation | |
| cg.subject.impactArea | Climate adaptation and mitigation | |
| cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
| cg.volume | 218 | |
| dc.contributor.author | Zhang, Xinyu | en |
| dc.contributor.author | Zhiwen, Cai | en |
| dc.contributor.author | Hu, Qiong | en |
| dc.contributor.author | Yang, Jingya | en |
| dc.contributor.author | Wei, Haodong | en |
| dc.contributor.author | You, Liangzhi | en |
| dc.contributor.author | Xu, Baodong | en |
| dc.date.accessioned | 2024-12-20T14:30:03Z | en |
| dc.date.available | 2024-12-20T14:30:03Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/168134 | |
| dc.title | Improving crop type mapping by integrating LSTM with temporal random masking and pixel-set spatial information | en |
| dcterms.accessRights | Limited Access | |
| dcterms.audience | Scientists | |
| dcterms.audience | Academics | |
| dcterms.available | 2024-10-19 | |
| dcterms.bibliographicCitation | Zhang, Xinyu; Zhiwen, Cai; Hu, Qiong; Yang, Jingya; Wei, Haodong; You, Liangzhi; and Xu, Baodong. 2024. Improving crop type mapping by integrating LSTM with temporal random masking and pixel-set spatial information. ISPRS Journal of Photogrammetry and Remote Sensing 218, Part B: 87-101. https://doi.org/10.1016/j.isprsjprs.2024.10.013 | en |
| dcterms.extent | p. 87-101 | |
| dcterms.issued | 2024-12 | |
| dcterms.language | en | |
| dcterms.license | Copyrighted; all rights reserved | |
| dcterms.publisher | Elsevier | |
| dcterms.subject | crops | en |
| dcterms.subject | memory | en |
| dcterms.subject | satellite observation | en |
| dcterms.subject | spatial data | en |
| dcterms.subject | crop modelling | en |
| dcterms.type | Journal Article |
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