A new AG-AGB estimation model based on MODIS and SRTM data in Qinghai Province, China

A new AG-AGB estimation model based on MODIS and SRTM data in Qinghai Province, China

The ability to rapidly and effectively monitor the alpine grassland aboveground biomass (AG-AGB) is very important to grassland resource management and sustainable use. The present satellite-driven models for estimating AG-AGB still need be improved due to incomplete monitoring indicators and a lack...

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Bibliographic Details
Main Authors: Hu, Y. (Author), Liu, J. (Author), Liu, Z. (Author), Ma, T. (Author), Peng, Y. (Author), Wang, L. (Author), Xie, Y. (Author), Zhao, L. (Author), Zhou, W. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
aboveground biomass
Aboveground biomass
accuracy assessment
AG-AGB
algorithm
alpine environment
Alpine grassland aboveground biomass
Alpine grasslands
back propagation
Backpropagation
China
Decision trees
Estimation indicator
Estimation indicators
estimation method
Estimation models
grassland
Linear regression
Mean square error
Model-based OPC
MODIS
Neural networks
New model
Qinghai
Qinghai Province
Radiometers
resource management
Root mean square errors
satellite data
Shuttle Radar Topography Mission
Support vector machines
Varanidae
Xgboost
XGBoost
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