Improving aboveground biomass estimation of natural forests on the Tibetan Plateau using spaceborne LiDAR and machine learning algorithms
Author:
Publisher
Elsevier BV
Subject
Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences
Reference71 articles.
1. Estimating aboveground biomass on private forest using sentinel-2 imagery;Askar;J. Sens.,2018
2. Environmental and biotic controls over aboveground biomass throughout a tropical rain forest;Asner;Ecosystem,2009
3. Advancing of land surface temperature retrieval using extreme learning machine and spatio-temporal adaptive data fusion algorithm;Bai;Remote Sens.,2015
4. Forest monitoring using landsat time series data: a review;Banskota;Can. J. Remote Sens.,2014
5. The potential of ICESat-2 to identify carbon-rich peatlands in Indonesia;Berninger;Remote Sens.,2020
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