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...

Full description

Bibliographic Details
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
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Forest Ecosystems
Subjects:
Bias
Model-based inference
Design-based inference
Online Access:http://www.sciencedirect.com/science/article/pii/S2197562023000957

Internet

http://www.sciencedirect.com/science/article/pii/S2197562023000957

Similar Items