Código QR (código de barras bidimensional)

High-density forest AGB estimation in tropical forest integrated with PolInSAR multidimensional features and optimized machine learning algorithms

Accurately estimating the above-ground biomass (AGB) of high-density tropical rainforests is a challenging issue. In this study, airborne multi-baseline PolInSAR data were used to estimate the tropical rainforest AGB in Gabon, Africa. The most suitable baseline combination of the PolInSAR data was i...

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Principais autores: Hongbin Luo, Sitong Qin, Jing Li, Chi Lu, Cairong Yue, Guanglong Ou
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-03-01
Serier:Ecological Indicators
Fag:
AGB
PolInSAR
Multidimensional features
Machine learning
Online adgang:http://www.sciencedirect.com/science/article/pii/S1470160X24003352
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