Ayoub Ahmed Almhab

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This study examines the method for determining surface energy namely surface energy balance algorithm for land (SEBAL). This particular method utilized the combination of meteorological observations with information extracted from remote sensing data. The modified SEBAL model using data from Landsat TM and NOAA-AVHRR sensors, has been used to estimate net(More)
This paper present two issues namely; firest is oasis desert brightness inversion correction, and secondly, the classifying method of oasis desert vegetation through remote sensing image data. Oasis desert brightness inversion is known reduce the classification accuracy in medium-resolution images. In this study, the radiation correction and the brightness(More)
Remote sensing has proved to be very useful in the investigation of vegetation and hydrological monitoring, especially when studying vast areas. In this paper, the complement between two optical remote sensing data (Landsat TM and NOAA- AVHRR) and a Digital Elevation Model (DEM) is used to estimate hydrological parameters based on derived surface(More)
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