Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand

Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand

Accurate information of crop growth conditions and water status can improve irrigation management. The objective of this study was to evaluate the performance of SAFYE (simple algorithm for yield and evapotranspiration estimation) crop model for simulating winter wheat growth and estimating water de...

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Bibliographic Details
Main Authors: Chao Zhang, Jiangui Liu, Taifeng Dong, Elizabeth Pattey, Jiali Shang, Min Tang, Huanjie Cai, Qaisar Saddique
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
winter wheat
crop model
remote sensing
leaf area index
soil moisture
evapotranspiration
Online Access:https://www.mdpi.com/2072-4292/11/14/1684

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