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Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time-and how this affects applications

Goran Ståhl Terje Gobakken Svetlana Saarela Henrik J.Persson Magnus Ekstrom Sean P.Healey Zhiqiang Yang Johan Holmgren Eva Lindberg Kenneth Nystrom Emanuele Papucci Patrik Ulvdal Hans OleØrka Erik Næsset Zhengyang Hou Håkan Olsson Ronald E.McRoberts

Forest Ecosystems2024，Vol.11Issue(1)：P.24-31,8.
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Forest Ecosystems2024，Vol.11Issue(1)：P.24-31,8.DOI:10.1016/j.fecs.2023.100164

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time-and how this affects applications

Goran Ståhl 1Terje Gobakken 2Svetlana Saarela 2Henrik J.Persson 1Magnus Ekstrom 1Sean P.Healey 3Zhiqiang Yang 3Johan Holmgren 1Eva Lindberg 1Kenneth Nystrom 1Emanuele Papucci 1Patrik Ulvdal 1Hans OleØrka 2Erik Næsset 2Zhengyang Hou 4Håkan Olsson 1Ronald E.McRoberts5

作者信息

  • 1. Department of Forest Resource Management,Swedish University of Agricultural Sciences,90183,Umeå,Sweden
  • 2. Faculty of Environmental Sciences and Natural Resource Management,Norwegian University of Life Sciences,Ås,Norway
  • 3. USDA Forest Service,Rocky Mountain Research Station,Ogden,UT,USA
  • 4. The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing,100083,China
  • 5. Department of Forest Resources,University of Minnesota,St.Paul,MN,USA
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摘要

关键词

Bias/Model-based inference/Design-based inference

分类

农业科技

引用本文复制引用

Goran Ståhl,Terje Gobakken,Svetlana Saarela,Henrik J.Persson,Magnus Ekstrom,Sean P.Healey,Zhiqiang Yang,Johan Holmgren,Eva Lindberg,Kenneth Nystrom,Emanuele Papucci,Patrik Ulvdal,Hans OleØrka,Erik Næsset,Zhengyang Hou,Håkan Olsson,Ronald E.McRoberts..Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time-and how this affects applications[J].Forest Ecosystems,2024,11(1):P.24-31,8.

基金项目

part of the programme Mistra Digital Forests and of the Center for Research-based Innovation Smart Forest:Bringing Industry 4.0to the Norwegian forest sector(NFR SFI project no.309671,smartforest.no)。 （NFR SFI project no.309671,smartforest.no）

Forest Ecosystems

OACSTPCD

2095-6355

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