Modeling Alpine Grassland Above Ground Biomass Based on Remote Sensing Data and Machine Learning Algorithm: A Case Study in East of the Tibetan Plateau, China

Modeling Alpine Grassland Above Ground Biomass Based on Remote Sensing Data and Machine Learning Algorithm: A Case Study in East of the Tibetan Plateau, China

Effective and accurate assessment of grassland above-ground biomass (AGB) especially via remote sensing (RS), is crucial for forage-livestock balance and ecological environment protection of alpine grasslands. Because of complexity and extensive spatial distribution of natural grassland resources, t...

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Bibliographic Details
Main Authors: Baoping Meng, Tiangang Liang, Shuhua Yi, Jianpeng Yin, Xia Cui, Jing Ge, Mengjing Hou, Yanyan Lv, Yi Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Above ground biomass (AGB)
alpine grassland
machine learning algorithm
multivariate model
Online Access:https://ieeexplore.ieee.org/document/9106792/

Internet

https://ieeexplore.ieee.org/document/9106792/

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