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...

Podrobná bibliografie
Hlavní autoři:	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
Médium:	Článek
Jazyk:	English
Vydáno:	KeAi Communications Co., Ltd. 2024-01-01
Edice:	Forest Ecosystems
Témata:	Bias Model-based inference Design-based inference
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2197562023000957

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