Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts

Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts

In order to enhance the simulated accuracy of jujube yields at the field scale, this study attempted to employ SUBPLEX algorithm to assimilate remotely sensed leaf area indices (LAI) of four key growth stages into a calibrated World Food Studies (WOFOST) model, and compare the accuracy of assimilati...

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Bibliographic Details
Main Authors: Tiecheng Bai, Shanggui Wang, Wenbo Meng, Nannan Zhang, Tao Wang, Youqi Chen, Benoit Mercatoris
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
assimilation method
SUBPLEX
remote sensing
WOFOST model
jujube yield estimation
Online Access:https://www.mdpi.com/2072-4292/11/16/1945

Internet

https://www.mdpi.com/2072-4292/11/16/1945

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