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Improved global 250 m 8-day NDVI and EVI products from 2000-2021 using the LSTM model.
Xiong, Changhao; Ma, Han; Liang, Shunlin; He, Tao; Zhang, Yufang; Zhang, Guodong; Xu, Jianglei.
Affiliation
  • Xiong C; School of Remote Sensing and Information Engineering, Wuhan University, Hubei, 430010, China.
  • Ma H; JC STEM Lab of Quantitative Remote Sensing, Department of Geography, The University of Hong Kong, Hong Kong, China. mahan@hku.hk.
  • Liang S; International Center for China Development Studies, The University of Hong Kong, Hong Kong, China. mahan@hku.hk.
  • He T; JC STEM Lab of Quantitative Remote Sensing, Department of Geography, The University of Hong Kong, Hong Kong, China.
  • Zhang Y; School of Remote Sensing and Information Engineering, Wuhan University, Hubei, 430010, China.
  • Zhang G; School of Remote Sensing and Information Engineering, Wuhan University, Hubei, 430010, China.
  • Xu J; School of Remote Sensing and Information Engineering, Wuhan University, Hubei, 430010, China.
Sci Data ; 10(1): 800, 2023 11 14.
Article in En | MEDLINE | ID: mdl-37963885
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom