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Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar.
Wang, Dongliang; Xin, Xiaoping; Shao, Quanqin; Brolly, Matthew; Zhu, Zhiliang; Chen, Jin.
Affiliation
  • Wang D; National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China. wangdongliang@caas.cn.
  • Xin X; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China. wangdongliang@caas.cn.
  • Shao Q; National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China. xinxiaoping@caas.cn.
  • Brolly M; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China. shaoqq@igsnrr.ac.cn.
  • Zhu Z; School of Environment and Technology, University of Brighton, Brighton BN2 4GJ, UK. M.Brolly@brighton.ac.uk.
  • Chen J; U.S. Geological Survey, Reston, VA 20192, USA. zzhu@usgs.gov.
Sensors (Basel) ; 17(1)2017 Jan 19.
Article in En | MEDLINE | ID: mdl-28106819
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2017 Document type: Article Affiliation country: China Country of publication: Switzerland
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2017 Document type: Article Affiliation country: China Country of publication: Switzerland