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A global 0.05° dataset for gross primary production of sunlit and shaded vegetation canopies from 1992 to 2020.
Bi, Wenjun; He, Wei; Zhou, Yanlian; Ju, Weimin; Liu, Yibo; Liu, Yang; Zhang, Xiaoyu; Wei, Xiaonan; Cheng, Nuo.
Affiliation
  • Bi W; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu, 210023, China.
  • He W; International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China.
  • Zhou Y; State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100854, China.
  • Ju W; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu, 210023, China. zhouyl@nju.edu.cn.
  • Liu Y; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu, 210023, China. zhouyl@nju.edu.cn.
  • Liu Y; International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China.
  • Zhang X; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu, 210023, China.
  • Wei X; Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
  • Cheng N; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Sci Data ; 9(1): 213, 2022 05 16.
Article in En | MEDLINE | ID: mdl-35577806
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Data Year: 2022 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: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom