Improving WISE Crop Evapotranspiration Estimates Using Crop Coefficients Derived from Remote-Sensing Algorithms-Reference-Cited by-同舟云学术

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Improving WISE Crop Evapotranspiration Estimates Using Crop Coefficients Derived from Remote-Sensing Algorithms

Published:2024-10 Issue:5 Volume:150 Page:
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Costa-Filho Edson¹,Chávez José L.²^ORCID,Andales Allan A.³,Brown Ansley J.⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523-1372.

2. Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523-1372 (corresponding author). ORCID: .

3. Professor, Dept. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523-1170.

4. Researcher, Dept. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523-1170.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JIDEDH.IRENG-10104

Reference122 articles.

1. Performance evaluation of AquaCrop model for maize crop in a semi-arid environment

2. Comparison of Satellite Driven Surface Energy Balance Models in Estimating Crop Evapotranspiration in Semi-Arid to Arid Inter-Mountain Region

3. Allen, R. G. 1992. “Standard reference evapotranspiration calculations: REF-ET.” In Irrigation and drainage: Saving a threatened resource—In search of solutions, 140–145. Reston, VA: ASCE.

4. Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study

5. A Mobile Irrigation Water Management System Using a Collaborative GIS and Weather Station Networks

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