UAV-based spatial sampling bridges ground measurements and satellite data for multi-scale estimation of sugar beet aboveground biomassOA
UAV-based spatial sampling bridges ground measurements and satellite data for multi-scale estimation of sugar beet aboveground biomass
Qing Wang;Yan Guo;Baoguo Li;Yuntao Ma;Chunyu Jiang;Qing Li;Yingpu Che;Jianyi Huang;Shunfu Xiao;Ke Shao;Chen Chen;Lisuo Ren
College of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaCollege of Land Science and Technology,China Agricultural University,Beijing,100193,ChinaInner Mongolia Academy of Science and Technology,Hohhot,010010,ChinaBayannur Modern Agriculture and Animal Husbandry Development Center,Bayannur,015000,ChinaBayannur Modern Agriculture and Animal Husbandry Development Center,Bayannur,015000,China
Aboveground biomassSpatial sampling optimizationAllometric growth modelsOptical satelliteUAVMultiscale sensing
Aboveground biomassSpatial sampling optimizationAllometric growth modelsOptical satelliteUAVMultiscale sensing
《植物表型组学(英文)》 2026 (1)
232-243,12
This work was supported by the Inner Mongolia science and technology promotion action key project(NMKJXM202303),In-dustrial Technology Innovation Program of IMAST(2024RCYJ04004,2024CYCX04001)and Inner Mongolia Autonomous Region project(2022JBGS0029).
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