Population estimation using geographic information system and remote sensing for unorganized areas

Kamel Allaw  -  Islamic University of Lebanon, Lebanon
Jocelyne Adjizian Gerard  -  Saint Joseph University, Lebanon
*Makram Zouheir Chehayeb orcid  -  Lebanese University, Lebanon
Nada Badaro Saliba  -  Saint Joseph University, Lebanon
Received: 18 Nov 2019; Published: 1 Nov 2020.
Open Access License URL: http://creativecommons.org/licenses/by-nc-sa/4.0

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Abstract

Population estimation using remotely sensed data has been largely discussed in the literature relative to human geography. However, the previously established models can be applied on organized areas (mainly urban areas) but they are not suitable for unorganized areas which already suffer from a lack of population data. So, the aim of this study is the establish a statistical model for population estimation based on remote sensing data and suitable for unorganized areas. To do so, the morphological characteristics have been studied and a bivariate analysis was carried out to determine factors having a strong relationship with population data as a first step. Second, factors with strongest correlations have been chosen to establish the required model. As a result, an equation has been generated which relates the population data to building volume, density of roads, number of nodes, actual urban areas, and urban trend.

Keywords: Population estimation; Remote Sensing; GIS; unorganized areas; Lebanon

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Section: Articles
Language: EN
In Vol 7, No 2 (2020)
Statistics: 406
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