Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery

Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery

Accurately estimating aboveground biomass (AGB) is important in many applications, including monitoring carbon stocks, investigating deforestation and forest degradation, and designing sustainable forest management strategies. Although lidar provides critical three-dimensional forest structure infor...

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Bibliographic Details
Main Authors:	Siqi Li, Lindi J. Quackenbush, Jungho Im
Format:	Article
Language:	English
Published:	MDPI AG 2019-08-01
Series:	Remote Sensing
Subjects:	systematic sampling classification-based sampling forest types data fusion regression random forest
Online Access:	https://www.mdpi.com/2072-4292/11/16/1906

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