SEBAL Model with Remotely Sensed Data to Improve Water-Resources Management under Actual Field Conditions
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- 1 February 2005
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Irrigation and Drainage Engineering
- Vol. 131 (1) , 85-93
- https://doi.org/10.1061/(asce)0733-9437(2005)131:1(85)
Abstract
Water management emphasis tends to shift from supply augmentation to limiting water consumption. Spatio-temporal information on actual evapotranspiration (ET) helps users to better understand evaporative depletion and to establish links between land use, water allocation, and water use. Satellite-based measurements, used in association with energy balance models, can provide the spatial distribution of ET for these linkages. This paper describes the major principles of the Surface Energy Balance Algorithm for Land (SEBAL) and summarizes its accuracy under several climatic conditions at both field and catchment scales. For a range of soil wetness and plant community conditions, the typical accuracy at field scale is 85% for 1 day and it increases to 95% on a seasonal basis. The accuracy of annual ET of large watersheds was found to be 96% on average. SEBAL has been applied in more than 30 countries worldwide, and the 26 research studies that were conducted over the past 10 years are now gradually being rep...Keywords
This publication has 47 references indexed in Scilit:
- Investigating ponding depth and soil detachability for a mechanistic erosion model using a simple experimentJournal of Hydrology, 2003
- Satellite surveillance of evaporative depletion across the Indus BasinWater Resources Research, 2002
- Estimating actual evapotranspiration using a detailed agro-hydrological modelJournal of Hydrology, 2000
- Comparing evapotranspiration estimates from satellites, hydrological models and field dataJournal of Hydrology, 2000
- Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison studyJournal of Hydrology, 2000
- Conditioning a multiple‐patch SVAT Model using uncertain time‐space estimates of latent heat fluxes as inferred from remotely sensed dataWater Resources Research, 1999
- A remote sensing surface energy balance algorithm for land (SEBAL).Journal of Hydrology, 1998
- A remote sensing surface energy balance algorithm for land (SEBAL). 1. FormulationJournal of Hydrology, 1998
- Estimation of sensible heat flux over sparsely vegetated surfacesJournal of Hydrology, 1997
- Sensible heat flux and radiometric surface temperature over sparse Sahelian vegetation. I. An experimental analysis of the kB−1 parameterJournal of Hydrology, 1997