首页|期刊导航|农业科学学报(英文)|A phenology-based vegetation index for improving ratoon rice mapping using harmonized Landsat and Sentinel-2 data

A phenology-based vegetation index for improving ratoon rice mapping using harmonized Landsat and Sentinel-2 dataOA北大核心CSTPCD

A phenology-based vegetation index for improving ratoon rice mapping using harmonized Landsat and Sentinel-2 data

Yunping Chen;Jie Hu;Zhiwen Cai;Jingya Yang;Wei Zhou;Qiong Hu;Cong Wang;Liangzhi You;Baodong Xu

Macro Agriculture Research Institute,College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,ChinaMacro Agriculture Research Institute,College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,ChinaCollege of Resources and Environment,Huazhong Agricultural University,Wuhan 430070,ChinaKey Laboratory of Agricultural Remote Sensing,Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,ChinaCollege of Resources and Environment,Huazhong Agricultural University,Wuhan 430070,ChinaKey Laboratory for Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental Sciences,Central China Normal University,Wuhan 430079,ChinaKey Laboratory for Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental Sciences,Central China Normal University,Wuhan 430079,ChinaMacro Agriculture Research Institute,College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,China||International Food Policy Research Institute,NW,Washington,D.C.20005,USACollege of Resources and Environment,Huazhong Agricultural University,Wuhan 430070,China

ratoon ricephenology-based ratoon rice vegetation index(PRVI)phenological phasefeature selectionHarmonized Landsat Sentinel-2 data

ratoon ricephenology-based ratoon rice vegetation index(PRVI)phenological phasefeature selectionHarmonized Landsat Sentinel-2 data

《农业科学学报(英文)》 2024 (4)

1164-1178,15

This work was supported by the National Natural Science Foundation of China(42271360 and 42271399),the Young Elite Scientists Sponsorship Program by China Association for Science and Technology(CAST)(2020QNRC001),and the Fundamental Research Funds for the Central Universities,China(2662021JC013,CCNU22QN018).

10.1016/j.jia.2023.05.035

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