Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes

Author:

Yang Qiuli,Su Yanjun,Hu Tianyu,Jin Shichao,Liu Xiaoqiang,Niu Chunyue,Liu Zhonghua,Kelly MaggiORCID,Wei Jianxin,Guo Qinghua

Funder

Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics,Forestry

Reference83 articles.

1. Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms;Almeida;Rem. Sens. Environ.,2019

2. Morphological, physiological and biochemical responses of plants to drought stress;Anjum;Afr. J. Agric. Res.,2011

3. Mapping tropical forest carbon: calibrating plot estimates to a simple LiDAR metric;Asner;Rem. Sens. Environ.,2014

4. Variation in wood density determines spatial patterns in Amazonian forest biomass;Baker;Global Change Biol.,2004

5. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogrammetry Remote Sens.,2016

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