Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman

This study concentrates on determining the poverty area using high resolution satellite imagery. Identification of a poverty area using satellite image are well known and widely used in many countries in order to estimate the population, distribution of income and to identify the poverty area itself...

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Main Author:	Sahriman, Noorita
Format:	Thesis
Language:	English
Published:	2015
Online Access:	http://ir.uitm.edu.my/id/eprint/17815/ http://ir.uitm.edu.my/id/eprint/17815/1/TM_NOORITA%20SAHRIMNA%20AP%2015_5.pdf

id	uitm-17815
recordtype	eprints
spelling	uitm-178152018-10-18T06:49:54Z http://ir.uitm.edu.my/id/eprint/17815/ Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman Sahriman, Noorita This study concentrates on determining the poverty area using high resolution satellite imagery. Identification of a poverty area using satellite image are well known and widely used in many countries in order to estimate the population, distribution of income and to identify the poverty area itself. Seven visual interpretation elements are included as the guidance in this study. The determination of poverty area is mainly from the visual interpretation method. This is to support the idea of high resolution image that are not suitable with automatic processing. Also it is to prove that visual interpretation does help in determining the poverty area especially in the urban area. The main site of the study area for this research is the urban area full with housing and industrial zone in the town of Puchong, Selangor. The area covered is 5km x 5km based on IKONOS satellite imagery provided by Malaysia Agency of Remote Sensing (ARSM). The spatial resolution of the image is one (1) meter and it was acquired in 2012. The result from poverty map was supported by one hundred questionnaires which are distributed in the study area. The significance of this study is to determine the poverty area and to produce a poverty map which can be applied in many sectors that need this kind of information, especially for developer or government sector in order to reduce poverty or to improve the poverty area. 2015 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/17815/1/TM_NOORITA%20SAHRIMNA%20AP%2015_5.pdf Sahriman, Noorita (2015) Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	This study concentrates on determining the poverty area using high resolution satellite imagery. Identification of a poverty area using satellite image are well known and widely used in many countries in order to estimate the population, distribution of income and to identify the poverty area itself. Seven visual interpretation elements are included as the guidance in this study. The determination of poverty area is mainly from the visual interpretation method. This is to support the idea of high resolution image that are not suitable with automatic processing. Also it is to prove that visual interpretation does help in determining the poverty area especially in the urban area. The main site of the study area for this research is the urban area full with housing and industrial zone in the town of Puchong, Selangor. The area covered is 5km x 5km based on IKONOS satellite imagery provided by Malaysia Agency of Remote Sensing (ARSM). The spatial resolution of the image is one (1) meter and it was acquired in 2012. The result from poverty map was supported by one hundred questionnaires which are distributed in the study area. The significance of this study is to determine the poverty area and to produce a poverty map which can be applied in many sectors that need this kind of information, especially for developer or government sector in order to reduce poverty or to improve the poverty area.
format	Thesis
author	Sahriman, Noorita
spellingShingle	Sahriman, Noorita Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman
author_facet	Sahriman, Noorita
author_sort	Sahriman, Noorita
title	Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman
title_short	Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman
title_full	Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman
title_fullStr	Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman
title_full_unstemmed	Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman
title_sort	correlation study using high resolution satellite imagery on poverty area identification / noorita sahriman
publishDate	2015
url	http://ir.uitm.edu.my/id/eprint/17815/ http://ir.uitm.edu.my/id/eprint/17815/1/TM_NOORITA%20SAHRIMNA%20AP%2015_5.pdf
first_indexed	2023-09-18T22:59:08Z
last_indexed	2023-09-18T22:59:08Z
_version_	1777418054648463360

Correlation study using high resolution satellite imagery on poverty area identification / Noorita Sahriman

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