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1 Ergebnisse
1
Why ecosystem characteristics predicted from remotely sense..:
Ståhl, Göran
;
Gobakken, Terje
;
Saarela, Svetlana
...
Forest Ecosystems, 2095-6355, 2024, 11,. , 2024
Link:
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-21945
RT Journal T1
Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications
UL https://suche.suub.uni-bremen.de/peid=base-ftumeauniv:oai:DiVA.org:umu-219457&Exemplar=1&LAN=DE A1 Ståhl, Göran A1 Gobakken, Terje A1 Saarela, Svetlana A1 Persson, Henrik J A1 Ekström, Magnus A1 Healey, Sean P A1 Yang, Zhiqiang A1 Holmgren, Johan A1 Lindberg, Eva A1 Nyström, Kenneth A1 Papucci, Emanuele A1 Ulvdal, Patrik A1 Ørka, Hans Ole A1 Næsset, Erik A1 Hou, Zhengyang A1 Olsson, Håkan A1 McRoberts, Ronald E PB Department of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, Sweden; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway; USDA Forest Service, Rocky Mountain Research Station, Ogden, UT, USA; The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China; Department of Forest Resources, University of Minnesota, St. Paul, MN, USA YR 2024 K1 Bias K1 Model-based inference K1 Design-based inference K1 Forest Science K1 Skogsvetenskap JF Forest Ecosystems, 2095-6355, 2024, 11, LK http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-219457 DO http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-219457 SF ELIB - SuUB Bremen
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