Estimation of actual evapotranspiration using surface energy balance algorithms for land model

A case study in San Joaquin Valley, California

Sagarika Roy, Duke Ophori, Shawn Kefauver

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Almond is an important cash crop in semi-arid southern San Joaquin Valley, California. Estimating almond water use is an important research objective in the arid area of Paramount farm. A Surface Energy Balance Algorithm for Land (SEBAL) model spatially estimates actual evapotranspiration (ETa) in the southern San Joaquin Valley in California from available MASTER airborne data. The objectives of the study are: (1) to study the spatial distribution property of canopy surface temperature (Tc), Normalized Difference Vegetation Index (NDVI), and ETa over the San Joaquin Valley, (2) estimate ETa of almond class on pixel-by-pixel basis in the Central Valley, California, and (3) to compare ETa obtained from SEBAL model with Penman- Monteith method. The results show that the regression between ETa, and Tc show negative (-) correlation. The correlation coefficient of ETa from remote sensing with Penman Monteith was 0.85 with bias of 0.77 mm and mean percentage difference is 0.10%. These results indicate that a combination of MASTER data with surface meteorological data could provide an efficient tool for the estimation of regional actual ET used for water resources, irrigation scheduling and management.

Original languageEnglish
JournalJournal of Environmental Hydrology
Volume21
StatePublished - 18 Dec 2013

Fingerprint

surface energy
energy balance
evapotranspiration
valley
pixel
NDVI
water use
land
surface temperature
water resource
canopy
irrigation
farm
spatial distribution
remote sensing

Cite this

@article{58f56bf9ed9d404cbee2cac103b4d989,
title = "Estimation of actual evapotranspiration using surface energy balance algorithms for land model: A case study in San Joaquin Valley, California",
abstract = "Almond is an important cash crop in semi-arid southern San Joaquin Valley, California. Estimating almond water use is an important research objective in the arid area of Paramount farm. A Surface Energy Balance Algorithm for Land (SEBAL) model spatially estimates actual evapotranspiration (ETa) in the southern San Joaquin Valley in California from available MASTER airborne data. The objectives of the study are: (1) to study the spatial distribution property of canopy surface temperature (Tc), Normalized Difference Vegetation Index (NDVI), and ETa over the San Joaquin Valley, (2) estimate ETa of almond class on pixel-by-pixel basis in the Central Valley, California, and (3) to compare ETa obtained from SEBAL model with Penman- Monteith method. The results show that the regression between ETa, and Tc show negative (-) correlation. The correlation coefficient of ETa from remote sensing with Penman Monteith was 0.85 with bias of 0.77 mm and mean percentage difference is 0.10{\%}. These results indicate that a combination of MASTER data with surface meteorological data could provide an efficient tool for the estimation of regional actual ET used for water resources, irrigation scheduling and management.",
author = "Sagarika Roy and Duke Ophori and Shawn Kefauver",
year = "2013",
month = "12",
day = "18",
language = "English",
volume = "21",
journal = "Journal of Environmental Hydrology",
issn = "1058-3912",
publisher = "International Association for Environmental Hydrology",

}

Estimation of actual evapotranspiration using surface energy balance algorithms for land model : A case study in San Joaquin Valley, California. / Roy, Sagarika; Ophori, Duke; Kefauver, Shawn.

In: Journal of Environmental Hydrology, Vol. 21, 18.12.2013.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Estimation of actual evapotranspiration using surface energy balance algorithms for land model

T2 - A case study in San Joaquin Valley, California

AU - Roy, Sagarika

AU - Ophori, Duke

AU - Kefauver, Shawn

PY - 2013/12/18

Y1 - 2013/12/18

N2 - Almond is an important cash crop in semi-arid southern San Joaquin Valley, California. Estimating almond water use is an important research objective in the arid area of Paramount farm. A Surface Energy Balance Algorithm for Land (SEBAL) model spatially estimates actual evapotranspiration (ETa) in the southern San Joaquin Valley in California from available MASTER airborne data. The objectives of the study are: (1) to study the spatial distribution property of canopy surface temperature (Tc), Normalized Difference Vegetation Index (NDVI), and ETa over the San Joaquin Valley, (2) estimate ETa of almond class on pixel-by-pixel basis in the Central Valley, California, and (3) to compare ETa obtained from SEBAL model with Penman- Monteith method. The results show that the regression between ETa, and Tc show negative (-) correlation. The correlation coefficient of ETa from remote sensing with Penman Monteith was 0.85 with bias of 0.77 mm and mean percentage difference is 0.10%. These results indicate that a combination of MASTER data with surface meteorological data could provide an efficient tool for the estimation of regional actual ET used for water resources, irrigation scheduling and management.

AB - Almond is an important cash crop in semi-arid southern San Joaquin Valley, California. Estimating almond water use is an important research objective in the arid area of Paramount farm. A Surface Energy Balance Algorithm for Land (SEBAL) model spatially estimates actual evapotranspiration (ETa) in the southern San Joaquin Valley in California from available MASTER airborne data. The objectives of the study are: (1) to study the spatial distribution property of canopy surface temperature (Tc), Normalized Difference Vegetation Index (NDVI), and ETa over the San Joaquin Valley, (2) estimate ETa of almond class on pixel-by-pixel basis in the Central Valley, California, and (3) to compare ETa obtained from SEBAL model with Penman- Monteith method. The results show that the regression between ETa, and Tc show negative (-) correlation. The correlation coefficient of ETa from remote sensing with Penman Monteith was 0.85 with bias of 0.77 mm and mean percentage difference is 0.10%. These results indicate that a combination of MASTER data with surface meteorological data could provide an efficient tool for the estimation of regional actual ET used for water resources, irrigation scheduling and management.

UR - http://www.scopus.com/inward/record.url?scp=84890282863&partnerID=8YFLogxK

M3 - Article

VL - 21

JO - Journal of Environmental Hydrology

JF - Journal of Environmental Hydrology

SN - 1058-3912

ER -