Remote Sensing and GIS Application in Assessing Urban Sprawl: A Case Study of Damaturu Metropolis, Damaturu, Yobe State, Nigeria

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Remote Sensing and GIS Application in Assessing Urban Sprawl: A Case Study of Damaturu Metropolis, Damaturu, Yobe State, Nigeria


Umar B.1*,Ishaku I.2 and Musa. L.3

1 & 2 Department of Surveying and Geoinformatics, Federal Polytechnic, Damaturu, Yobe State, Nigeria

3Yobe Geographic Information Services Damaturu, Nigeria

Corresponding Author: *


The Urban Sprawl is a global phenomenon associated with population increase which is characterized by an un-planned and uneven pattern of growth, driven by a multitude of process and leading to inefficient resources utilization.

This paper assesses the effect of expansion of Damaturu Metropolis and appraises the changes that occurred in the landscape from 2000 to 2020. The study made up of information extracted from Enhanced Thematic Mapper (ETM+ 2000, 2010 and 2020) satellite images, the spatial location of some notable points within and around the study area as well as attribute data obtained of the study area through Questionnaire.

The images were used to increase a False Colour Composite (FCC) where the training polygon were chosen and classified based on their spectral signatures. The spatial locations were overlaid on the Topographical Map and on imageries for appraisal. The Questionnaires distributed and retrieved were administered for attribute information.

The results revealed from the classification that from 2000 to 2010, the built-up area increased from 270.09 to 307.80hectas which is 1.91 and 2.17% of the total area covered and from 2010 to 2020, the built-up area increased from 307.80 to 1270.52hectas, that is 2.17 to 10% of the total area which is more than triple to the increase between 2000 to 2010. The system revealed in the results that the area will in the next 20 years increase by 73.253700km2 which is 52% of the total area.

The questionnaire administered revealed that majority of the increase in population are predominantly youths between the age 26 to 45 which covers 70% of the increase and are mostly Nigerians from different places which might be probably due to insurgency. The system used CELLULAR AUTOMATA (CA) for the allocation of new built-up area into other land use classes. The research recommends government/stake holders to develop policies to maintain the land for future use, as the absence of any land use planning may lead to land degradation.

Keywords: Urban Sprawl, built-up areas and Cellular Automata




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