Estimating Gross Primary Productivity (GPP) over Rice–Wheat-Rotation Croplands by Using the Random Forest Model and Eddy Covariance Measurements: Upscaling and Comparison with the MODIS Product

Estimating Gross Primary Productivity (GPP) over Rice–Wheat-Rotation Croplands by Using the Random Forest Model and Eddy Covariance Measurements: Upscaling and Comparison with the MODIS Product

Despite advances in remote sensing–based gross primary productivity (GPP) modeling, the calibration of the Moderate Resolution Imaging Spectroradiometer (MODIS) GPP product (GPP<sub>MOD</sub>) is less well understood over rice–wheat-rotation cropland. To improve the performance of GPP<...

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Bibliographic Details
Main Authors: Zexia Duan, Yuanjian Yang, Shaohui Zhou, Zhiqiu Gao, Lian Zong, Sihui Fan, Jian Yin
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
random forest
gross primary productivity
eddy covariance
MOD17A2H
rice–wheat rotation cropland
Online Access:https://www.mdpi.com/2072-4292/13/21/4229

Internet

https://www.mdpi.com/2072-4292/13/21/4229

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