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Estimation of evapotranspiration using fused remote sensing image data and m-sebal model for improving water management in arid mountainous area.

Almhab, Ayoub and Ibrahim Busu , (2008) Estimation of evapotranspiration using fused remote sensing image data and m-sebal model for improving water management in arid mountainous area. In: The 29th Asian Conference on Remote Sensing ( ACRS) 2008, Colombo Sri Lanka, 2008, Colombo, Sri Lanka.

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Abstract

Remote sensing has been proven to be very useful in the investigation of vegetation and hydrological monitoring, especially when looking at vast areas. In this paper, the complementarily between two optical remote sensing data (Landsat TM and NOAA- AVHRR) and a Digital Elevation Model (DEM) is used to estimate hydrological parameters according based on derived surface reflectance these parameters used in the Modified - Soil Energy Balance Algorithm for Land (M-SEBAL) model, using data from Landsat TM and NOAA- AVHRR sensors, has been used to estimate net radiation, soil heat flux, sensible heat flux and ET for Sana’a Basin in Yemen. The area is known for arid and semi-arid weather conditions with undulating topography. Image data from AVHRR on-board NOAA satellites with a large areal coverage, good temporal and spectral resolution are found to be very useful in generating some parameters required for the above process. However, the data lack pure spatial resolution. On the other hand, image data from Thematic Mapper on-board LANDSAT satellite, with a high spatial and spectral resolution should be able to provide values for the parameters involved, but the areal coverage is significantly reduced. The study has been carried out, using both image data through a data fusion technique in order to harvest advantages and goodness of these two image data, a general framework is proposed to generate evapotranspiration maps for arid and semi-arid regions. This is achieved by means of multi- temporal, multi-resolution remote sensing data. considering topographic effects, an attempt has also been made to incorporate DEM information for estimating the net radiation of the areas involved. An application for computing daily evapotranspiration (ET) map over Sana’a Basin, a central mountainous region in Yemen is presented. As a result, a daily ET map generated from metrological observation was compared with estimated ET data simulated from remote sensing data. In conclusion, data from both remote sensing give reasonable values with result from TM being better when compared with those of AVHRR.This is attributed to the differences in spatial resolution, in which TM data is higher than AVHRR.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:evapotranspiration, TM, AVHRR, SEBAL, Yemen
Subjects:G Geography. Anthropology. Recreation
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:19482
Deposited By: Liza Porijo
Last Modified:11 Dec 2011 07:24

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