Nexus of certain model-based estimators in remote sensing forest inventory  

作　　者：Yan Zheng Zhengyang Hou Goran Ståhl Ronald EMcRoberts Weisheng Zeng Erik Næsset Terje Gobakken Bo Li Qing Xu 

机构地区：[1]The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing,100083,China [2]Ecological Observation and Research Station of Heilongjiang Sanjiang Plain Wetlands,National Forestry and Grassland Administration,Shuangyashan,518000,China [3]Department of Forest Resource Management,Swedish University of Agricultural Sciences,Umeå,Sweden [4]Department of Forest Resources,University of Minnesota,St.Paul,Minnesota,United States [5]Academy of Forest Inventory and Planning,National Forestry and Grassland Administration,Beijing,100714,China [6]Faculty of Environmental Sciences and Natural Resource Management,Norwegian University of Life Sciences,P.O.Box 5003,1432,Ås,Norway [7]Department of Statistics,University of Illinois at Urbana-Champaign,Champaign,IL,United States [8]Key Laboratory of National Forestry and Grassland Administration/Beijing for Bamboo&Rattan Science and Technology,International Center for Bamboo and Rattan,Beijing,100102,China

出　　处：《Forest Ecosystems》2024年第6期921-930,共10页森林生态系统(英文版)

基　　金：supported by the National Social Science Fund of China(No.22BTJ005);the Key Project of National Key Research and Development Plan(No.2023YFF1304002-05);supported by the National Natural Science Foundation of China(No.32001252);the International Center for Bamboo and Rattan(Nos.1632022024,1632020029,1632021024).

摘　　要：Remote sensing(RS)facilitates forest inventory across a wide range of variables required by the UNFCCC as well as by other agreements and processes.The Conventional model-based(CMB)estimator supports wall-to-wall RS data,while Hybrid estimators support surveys where RS data are available as a sample.However,the connection between these two types of monitoring procedures has been unclear,hindering the reconciliation of wall-to-wall and non-wall-to-wall use of RS data in practical applications and thus potentially impeding cost-efficient deployment of high-end sensing instruments for large area monitoring.Consequently,our objectives are to(1)shed further light on the connections between different types of Hybrid estimators,and between CMB and Hybrid estimators,through mathematical analyses and Monte Carlo simulations;and(2)compare the effects and explore the tradeoffs related to the RS sampling design,coverage rate,and cluster size on estimation precision.Primary findings are threefold:(1)the CMB estimator represents a special case of Hybrid estimators,signifying that wallto-wall RS data is a particular instance of sample-based RS data;(2)the precision of estimators in forest inventory can be greater for stratified non-wall-to-wall RS data compared to wall-to-wall RS data;(3)otherwise costprohibitive sensing,such as LiDAR and UAV,can support large scale monitoring through collecting RS data as a sample.These conclusions may reconcile different perspectives regarding choice of RS instruments,data acquisition,and cost for continuous observations,particularly in the context of surveys aiming at providing data for mitigating climate change.

关 键 词：Model-based inference Sampling Sample size Non-wall-to-wall Forest inventory 

分 类 号：R74[医药卫生—神经病学与精神病学]