森林生态系统（英文版）2026，Vol.15Issue(1)：95-108,14.DOI:10.1016/j.fecs.2025.100399
Leveraging missing-data remote sensing for forest inventory
Leveraging missing-data remote sensing for forest inventory
Qiling Wang 1Qing Xu 2Liuyuan Huang 1Weisheng Zeng 3Bo Li 4Timo Tokola 5Ronald E.McRoberts 6Zhengyang Hou1
作者信息
- 1. The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China||Ecological Observation and Research Station of Heilongjiang Sanjiang Plain Wetlands,National Forestry and Grassland Administration,Shuangyashan 155600,China
- 2. Key Laboratory of National Forestry and Grassland Administration/Beijing for Bamboo & Rattan Science and Technology,International Center for Bamboo and Rattan,Beijing 100102,China
- 3. Academy of Forest and Grassland Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
- 4. Department of Statistics and Data Science,Washington University in St.Louis,St.Louis,MO 63130,USA
- 5. School of Forest Sciences,University of Eastern Finland,Joensuu FIN-80100,Finland
- 6. Department of Forest Resources,University of Minnesota,St.Paul,MN 55101,USA
- 折叠
摘要
关键词
Forest management/Missing values/Survey sampling/Model-based inference/Uncertainty assessmentKey words
Forest management/Missing values/Survey sampling/Model-based inference/Uncertainty assessment引用本文复制引用
Qiling Wang,Qing Xu,Liuyuan Huang,Weisheng Zeng,Bo Li,Timo Tokola,Ronald E.McRoberts,Zhengyang Hou..Leveraging missing-data remote sensing for forest inventory[J].森林生态系统（英文版）,2026,15(1):95-108,14.基金项目
This work was supported by the National Key R&D Program of China(No.2023YFF1304002-05),the National Social Science Fund of China(No.22BTJ005),and the National Natural Science Foundation of China(No.32572049). （No.2023YFF1304002-05）
