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

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

Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics, and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for decision-making. However, wall-to-wall information typically relies on model-based predi...

書目詳細資料
Main Authors:	Göran Ståhl, Terje Gobakken, Svetlana Saarela, Henrik J. Persson, Magnus Ekström, Sean P. Healey, Zhiqiang Yang, Johan Holmgren, Eva Lindberg, Kenneth Nyström, Emanuele Papucci, Patrik Ulvdal, Hans Ole Ørka, Erik Næsset, Zhengyang Hou, Håkan Olsson, Ronald E. McRoberts
格式:	Article
語言:	English
出版:	KeAi Communications Co., Ltd. 2024-01-01
叢編:	Forest Ecosystems
主題:	Bias Model-based inference Design-based inference
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2197562023000957

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