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Remote sensing has been frequently used in population estimation. This research developed a method to estimate the population of Bandung City using Landsat 7 ETM+ imagery and the population data from each district of Bandung City. The spectral bands of imagery, vegetation indices, and temperature of...

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Bibliographic Details
Main Author:	ANDROSS (NIM. 15107062); Pembimbing: Prof. Dr. Ir. Ketut Wikantika, M.Eng., dan Dr. Ir. Kosasih, TRIO
Format:	Final Project
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/14531
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Institution:	Institut Teknologi Bandung
Language:	Indonesia

id	id-itb.:14531
spelling	id-itb.:145312017-10-09T10:51:07Z#TITLE_ALTERNATIVE# ANDROSS (NIM. 15107062); Pembimbing: Prof. Dr. Ir. Ketut Wikantika, M.Eng., dan Dr. Ir. Kosasih, TRIO Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/14531 Remote sensing has been frequently used in population estimation. This research developed a method to estimate the population of Bandung City using Landsat 7 ETM+ imagery and the population data from each district of Bandung City. The spectral bands of imagery, vegetation indices, and temperature of each district becomes independent variables to estimate the population density as the dependent variable. Linear regression analysis used to determine the correlation between the two variables and develop mathematical equations where population density is a function of the independent variables. Mathematical equations to estimate the population density of Bandung City become better in terms of accuracy and reliability, composed by several independent variables, namely vegetation index, spectral band images, and temperature. The obtained result of population estimation of Bandung City in 2003 with an error rate below 8%. text
institution	Institut Teknologi Bandung
building	Institut Teknologi Bandung Library
continent	Asia
country	Indonesia Indonesia
content_provider	Institut Teknologi Bandung
collection	Digital ITB
language	Indonesia
description	Remote sensing has been frequently used in population estimation. This research developed a method to estimate the population of Bandung City using Landsat 7 ETM+ imagery and the population data from each district of Bandung City. The spectral bands of imagery, vegetation indices, and temperature of each district becomes independent variables to estimate the population density as the dependent variable. Linear regression analysis used to determine the correlation between the two variables and develop mathematical equations where population density is a function of the independent variables. Mathematical equations to estimate the population density of Bandung City become better in terms of accuracy and reliability, composed by several independent variables, namely vegetation index, spectral band images, and temperature. The obtained result of population estimation of Bandung City in 2003 with an error rate below 8%.
format	Final Project
author	ANDROSS (NIM. 15107062); Pembimbing: Prof. Dr. Ir. Ketut Wikantika, M.Eng., dan Dr. Ir. Kosasih, TRIO
spellingShingle	ANDROSS (NIM. 15107062); Pembimbing: Prof. Dr. Ir. Ketut Wikantika, M.Eng., dan Dr. Ir. Kosasih, TRIO #TITLE_ALTERNATIVE#
author_facet	ANDROSS (NIM. 15107062); Pembimbing: Prof. Dr. Ir. Ketut Wikantika, M.Eng., dan Dr. Ir. Kosasih, TRIO
author_sort	ANDROSS (NIM. 15107062); Pembimbing: Prof. Dr. Ir. Ketut Wikantika, M.Eng., dan Dr. Ir. Kosasih, TRIO
title	#TITLE_ALTERNATIVE#
title_short	#TITLE_ALTERNATIVE#
title_full	#TITLE_ALTERNATIVE#
title_fullStr	#TITLE_ALTERNATIVE#
title_full_unstemmed	#TITLE_ALTERNATIVE#
title_sort	#title_alternative#
url	https://digilib.itb.ac.id/gdl/view/14531
_version_	1820737247120457728

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