Improving crop type mapping by integrating LSTM with temporal random masking and pixel-set spatial information

Authors

Date Issued

Date Online

2024-10-19

Metadata

Citation

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

Permanent link to cite or share this item

https://hdl.handle.net/10568/168134

DOI

https://doi.org/10.1016/j.isprsjprs.2024.10.013

Author ORCID identifiers

Liangzhi You https://orcid.org/0000-0001-7930-8814

Organizations Affiliated to the Authors

Huazhong Agricultural University; Central China Normal University; Chinese Academy of Agricultural Sciences; International Food Policy Research Institute

Investors/sponsors

National Key Research and Development Program, China; National Natural Science Foundation of China; CGIAR Trust Fund

CGIAR Action Areas

Systems Transformation

CGIAR Impact Areas

Climate adaptation and mitigation; Poverty reduction, livelihoods and jobs

CGIAR Initiatives

Climate Resilience; Digital Innovation; Foresight

Collections

IFPRI Journal Articles
CGIAR Initiative on Climate Resilience
CGIAR Initiative on Digital Innovation
CGIAR Initiative on Foresight

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Type

Journal Article

Review Status

Peer Review

Language

en

AGROVOC Keywords

crops; memory; satellite observation; spatial data; crop modelling

Access Rights

Limited Access

Usage Rights

Copyrighted; all rights reserved

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