Estimation of the Net Primary Productivity of Grasslands in the Qinghai Tibet Plateau Based on a Machine Learning Model and Sensitivity Analysis to Climate Change

Estimation of the Net Primary Productivity of Grasslands in the Qinghai Tibet Plateau Based on a Machine Learning Model and Sensitivity Analysis to Climate Change

This study applies the Multilayer Perceptron (MLP) and Random Forest (RF) models, utilizing remote sensing and ground-based net primary productivity (NPP) data from 1992 to 2020, along with meteorological data and soil properties, to model the NPP in the alpine grassland and alpine meadow ecosystems...

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Bibliographic Details
Main Authors: Xingyu Liu, Youyi Zhao, Meiling Zhang, Maoxin Su
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
climate sensitivity
net primary productivity
random forest
multilayer perceptron
Online Access:https://www.mdpi.com/2073-4395/14/12/2997

Internet

https://www.mdpi.com/2073-4395/14/12/2997

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