A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Advances in information and communication technologies facilitate the application of complex models for optimizing agricultural water management. This paper presents an easy-to-use tool for determining crop water demands using the dual crop coefficient approach and remote sensing imagery. The model...

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Bibliographic Details
Main Authors: Juan Miguel Ramírez-Cuesta, José Manuel Mirás-Avalos, José Salvador Rubio-Asensio, Diego S. Intrigliolo
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Water
Subjects:
agricultural modelling
ArcPy
crop water stress
Python
soil water balance
Online Access:http://www.mdpi.com/2073-4441/11/1/38

Internet

http://www.mdpi.com/2073-4441/11/1/38

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