Remote Sensing | |
SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability | |
Mcebisi Mkhwanazi4  José L. Chávez4  Allan A. Andales1  Kendall DeJonge2  Gabriel Senay3  Alfredo R. Huete3  | |
[1] Soil and Crop Sciences Department, Colorado State University, Fort Collins, CO 80523, USA; E-Mail:;United States Department of Agriculture, Agricultural Research Service, Fort Collins, CO 80526, USA; E-Mail:;Civil and Environmental Engineering Department, Colorado State University, Fort Collins, CO 80523, USA; E-Mail;Civil and Environmental Engineering Department, Colorado State University, Fort Collins, CO 80523, USA; E-Mail: | |
关键词: SEBAL; SEBAL-A; effective advection; surface roughness; | |
DOI : 10.3390/rs71115068 | |
来源: mdpi | |
【 摘 要 】
Because the Surface Energy Balance Algorithm for Land (SEBAL) tends to underestimate ET when there is advection, the model was modified by incorporating an advection component as part of the energy usable for crop evapotranspiration (ET). The modification involved the estimation of advected energy, which required the development of a wind function. In Part I, the modified SEBAL model (SEBAL-A) was developed and validated on well-watered alfalfa of a standard height of 40–60 cm. In this Part II, SEBAL-A was tested on different crops and irrigation treatments in order to determine its performance under varying conditions. The crops used for the transferability test were beans (
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190003612ZK.pdf | 836KB | download |