Drought assessment modelling using biophysical parameters and remote sensing data

This study considers the advancement in technical development of a few disciplines as an infrastructure for developing a suitable model and methodology for agricultural drought assessment in semi-arid area. It evaluates capabilities of multisource remote sensing data in developing raster-based bioph...

Full description

Saved in:

Bibliographic Details
Main Author:	Mokhtari, Mohammad Hossein
Format:	Thesis
Language:	English
Published:	2012
Subjects:	G70.39-70.6 Remote sensing
Online Access:	http://eprints.utm.my/id/eprint/92373/1/MohammadHosseinMokhtariPFGHT2012.pdf.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.92373
record_format	uketd_dc
spelling	my-utm-ep.923732021-09-28T07:33:54Z Drought assessment modelling using biophysical parameters and remote sensing data 2012 Mokhtari, Mohammad Hossein G70.39-70.6 Remote sensing This study considers the advancement in technical development of a few disciplines as an infrastructure for developing a suitable model and methodology for agricultural drought assessment in semi-arid area. It evaluates capabilities of multisource remote sensing data in developing raster-based biophysical drought assessment models. The capability for expressing the spatial and inter-annual variation of evapotranspiration (ET) over a study area by the proposed models has made it efficient. The base model, Mapping EvapoTranspiration at high Resolution with Internal Calibration (METRIC) has been evaluated for its performance in estimating ET over the pistachio plantation in a semi-arid region. The result proved that the base model gives good accuracy and is suitable for the selected study area. The base model, METRIC, is found sensitive to a number of meteorological parameters. Two-factor analysis for the primary inputs of the base model shows that the surface albedo and surface temperature pairs is the most effective while other tested pairs are found to be least effective. The study suggests that improving the equations of the effective pair should increase the accuracy. In this case, the multilayer perceptron Artificial Neural Network (ANN) technique is used for estimating spatial and temporal distribution of actual ET from satellite based biophysical parameters. The result shows that a strong correlation exist between ET values computed using METRIC and those generated using ANN. ANN sensitivity analysis shows that surface temperature, soil heat flux and surface albedo are the most significant parameters. Exploratory factor analysis using Principal Component Analysis (PCA) was performed to select the most significant biophysical parameters to be used as input to a newly developed BioPhysical Water Stress Index (BPWSI). The BPWSI is a new model for estimating water stress index using the selected biophysical parameters. The results of BPWSI are found to be significant and can be used for predicting the pistachio water status which represents the indication of agricultural drought. 2012 Thesis http://eprints.utm.my/id/eprint/92373/ http://eprints.utm.my/id/eprint/92373/1/MohammadHosseinMokhtariPFGHT2012.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:136783 phd doctoral Universiti Teknologi Malaysia Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.39-70.6 Remote sensing
spellingShingle	G70.39-70.6 Remote sensing Mokhtari, Mohammad Hossein Drought assessment modelling using biophysical parameters and remote sensing data
description	This study considers the advancement in technical development of a few disciplines as an infrastructure for developing a suitable model and methodology for agricultural drought assessment in semi-arid area. It evaluates capabilities of multisource remote sensing data in developing raster-based biophysical drought assessment models. The capability for expressing the spatial and inter-annual variation of evapotranspiration (ET) over a study area by the proposed models has made it efficient. The base model, Mapping EvapoTranspiration at high Resolution with Internal Calibration (METRIC) has been evaluated for its performance in estimating ET over the pistachio plantation in a semi-arid region. The result proved that the base model gives good accuracy and is suitable for the selected study area. The base model, METRIC, is found sensitive to a number of meteorological parameters. Two-factor analysis for the primary inputs of the base model shows that the surface albedo and surface temperature pairs is the most effective while other tested pairs are found to be least effective. The study suggests that improving the equations of the effective pair should increase the accuracy. In this case, the multilayer perceptron Artificial Neural Network (ANN) technique is used for estimating spatial and temporal distribution of actual ET from satellite based biophysical parameters. The result shows that a strong correlation exist between ET values computed using METRIC and those generated using ANN. ANN sensitivity analysis shows that surface temperature, soil heat flux and surface albedo are the most significant parameters. Exploratory factor analysis using Principal Component Analysis (PCA) was performed to select the most significant biophysical parameters to be used as input to a newly developed BioPhysical Water Stress Index (BPWSI). The BPWSI is a new model for estimating water stress index using the selected biophysical parameters. The results of BPWSI are found to be significant and can be used for predicting the pistachio water status which represents the indication of agricultural drought.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mokhtari, Mohammad Hossein
author_facet	Mokhtari, Mohammad Hossein
author_sort	Mokhtari, Mohammad Hossein
title	Drought assessment modelling using biophysical parameters and remote sensing data
title_short	Drought assessment modelling using biophysical parameters and remote sensing data
title_full	Drought assessment modelling using biophysical parameters and remote sensing data
title_fullStr	Drought assessment modelling using biophysical parameters and remote sensing data
title_full_unstemmed	Drought assessment modelling using biophysical parameters and remote sensing data
title_sort	drought assessment modelling using biophysical parameters and remote sensing data
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2012
url	http://eprints.utm.my/id/eprint/92373/1/MohammadHosseinMokhtariPFGHT2012.pdf.pdf
_version_	1747818591186583552

Drought assessment modelling using biophysical parameters and remote sensing data

Similar Items