Integration of calibration and forcing methods for predicting timely crop states by using AquaCrop-OS model

This paper presents a framework for predicting canopy states in real time by adopting a recent MATLAB based crop model: AquaCrop-OS. The historical observations are firstly used to estimate the crop sensitive parameters in Bayesian approach. Secondly, the model states will be replaced by updating re...

Full description

Saved in:
Bibliographic Details
Main Authors: Tianxiang Zhang, Jinya Su, Cunjia Liu, Wen-Hua Chen
Format: Default Conference proceeding
Published: 2019
Subjects:
Data assimilation
Bayesian calibration
Sequential forcing method
Crop model
Remote sensing
States prediction
Online Access:https://hdl.handle.net/2134/10319018.v1
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items