Time Series Determination of Property Revenue for Mubi Metropolis using Remote Sensing and GIS

International Journal of Geoinformatics and Geological Science

© 2018 by SSRG - IJGGS Journal

Volume 5 Issue 2

Year of Publication : 2018

Authors : Adegoke K.Martins, Gamaniel Japheth, Gundiri I.Abalis, Babatunde Ibrahim

10.14445/23939206/IJGGS-V5I2P102

How to Cite?

Adegoke K.Martins, Gamaniel Japheth, Gundiri I.Abalis, Babatunde Ibrahim, "Time Series Determination of Property Revenue for Mubi Metropolis using Remote Sensing and GIS," SSRG International Journal of Geoinformatics and Geological Science, vol. 5,  no. 2, pp. 8-14, 2018. Crossref, https://doi.org/10.14445/23939206/IJGGS-V5I2P102

Abstract:

In the recent years, the need for Internal Generated Revenue (IGR) for infrastructures in Federal, State and Local Government for financial prowess for programs like Capital Grant, Livelihood Empowerment against Poverty and school feeding programs. The State and Local Government solemnly depends on funds allocated from the Central Government for their expenditures but all could not avail. It is on this ground that this research tends to investigate the Time Series Analysis (TSA) of the (IGR) from properties (Land Taxation) using Remote Sensing and GIS. The Color Composite image generated was then classified into four (4) different classes (Built Up areas, Bare land, Rocks and Vegetation) as identified using Maximum Likelihood; the post classification tool was used to determine the area cover statistics summary for each class and the classes was rasterized and the area cover in meter square was divided by 600 and then multiplied by the amount charged pa year for commercial and residential respectively which in turn resulted to the total sum of Internal Generate Revenue (IGR) for the year 1999 and the sum for the year 2018 respectively. It is therefore important that the payment of tax or revenue should be enacted as a law so as to boost the IGR o the local government authority to enable the payment of salaries for civil servants and for infrastructural developments such as Capital Grant, livelihood empowerment against poverty and school feeding programs.

Keywords:

 Internal Generated Revenue, Property, Remote Sensing, GIS, Time Series Analysis

References:

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