Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Estimation of Surface Moisture Content and Evapotranspiration Using Weightage Approach.

HASSABALLA, ABDALHALEEM ABDALLA (2014) Estimation of Surface Moisture Content and Evapotranspiration Using Weightage Approach. PhD thesis, Universiti Teknologi PETRONAS.

[img]
Preview
PDF
Download (10Mb) | Preview

Abstract

Soil moisture (MC) and evapotranspiration (ET) are considered as the most significant boundary conditions controlling most of the hydrological cycle’s processes. However, monitoring them continuously over large areas using the high temporal-resolution optical satellites is very demanding. Satellites such as the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS), have a coarse spatial resolution in their images. Thus it not only impedes the acquisition of an accurate MC and ET but also represents multispectral reflections from the holistic surface features. This beside their dependence on vegetation and ground coefficient when assessing MC and ET. The study aims to enhance the spatial accuracy by weighting the MC produced from different surface cover classes within the pixel. MC for each pixel is segmented into three (3) different classes namely urban, vegetation and multi surface cover according to their respective MC weightage. Secondly, to generate an improved actual ETa map by overlaying the segmented MC with a rectified ETo. Images from AVHRR and MODIS satellites were selected in order to generate MC and ET maps. Two powerful MC algorithms were used based on land Surface Temperature (Ts), vegetation Indices (VI) and field measurements of MC; which were conducted at variable depths to examine the depth influence on MC and Ts magnitudes.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Civil Engineering - Water and environment - Water
Subject: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering > Civil
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 18 Jun 2015 13:59
Last Modified: 25 Jan 2017 09:37
URI: http://utpedia.utp.edu.my/id/eprint/15429

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...