Grassland Aboveground Biomass Estimation through Assimilating Remote Sensing Data into a Grass Simulation Model

Grassland Aboveground Biomass Estimation through Assimilating Remote Sensing Data into a Grass Simulation Model

Grassland aboveground biomass is crucial for evaluating grassland desertification, degradation, and grassland and livestock balance. Given the lack of understanding of mechanical processes and limited simulation accuracy for grassland aboveground biomass estimation, especially at the regional scale,...

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Bibliographic Details
Main Authors: Yuxin Zhang, Jianxi Huang, Hai Huang, Xuecao Li, Yunxiang Jin, Hao Guo, Quanlong Feng, Yuanyuan Zhao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
grassland aboveground biomass
data assimilation
4DVar
four-dimensional variational
MCMC
Markov chain Monte Carlo
Online Access:https://www.mdpi.com/2072-4292/14/13/3194

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https://www.mdpi.com/2072-4292/14/13/3194

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