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Detecting Key Factors of Grasshopper Occurrence in Typical Steppe and Meadow Steppe by Integrating Machine Learning Model and Remote Sensing Data.
Lu, Longhui; Kong, Weiping; Ye, Huichun; Sun, Zhongxiang; Wang, Ning; Du, Bobo; Zhou, Yantao; Huang, Wenjiang.
Affiliation
  • Lu L; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Kong W; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
  • Eerdengqimuge; Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Ye H; Grassland Workstation of Xilinguole League, Xilingol 026000, China.
  • Sun Z; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Wang N; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
  • Du B; China Agricultural Museum, Beijing 100125, China.
  • Zhou Y; Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
  • Weijun; Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
  • Huang W; Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang 110034, China.
Insects ; 13(10)2022 Sep 30.
Article in En | MEDLINE | ID: mdl-36292842
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Insects Year: 2022 Document type: Article Affiliation country: China Country of publication: Suiza
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Insects Year: 2022 Document type: Article Affiliation country: China Country of publication: Suiza