Effects of outliers on remote sensing‐assisted forest biomass estimation: A case study from the United States national forest inventory

Effects of outliers on remote sensing‐assisted forest biomass estimation: A case study from the United States national forest inventory

Abstract Large‐scale ecological sampling networks, such as national forest inventories (NFIs), collect in situ data to support biodiversity monitoring, forest management and planning, and greenhouse gas reporting. Data harmonization aims to link auxiliary remotely sensed data to field‐collected data...

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Bibliographic Details
Main Authors:	Jonathan A. Knott, Greg C. Liknes, Courtney L. Giebink, Sungchan Oh, Grant M. Domke, Ronald E. McRoberts, Valquiria F. Quirino, Brian F. Walters
Format:	Article
Language:	English
Published:	Wiley 2023-07-01
Series:	Methods in Ecology and Evolution
Subjects:	airborne laser scanning data harmonization Forest Inventory and Analysis (FIA) lidar Sentinel‐2
Online Access:	https://doi.org/10.1111/2041-210X.14084

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