ANALYSIS OF LAND COVER CHANGES
IN DADIN KOWA, JOS NIGERIA ((1962-2005))
1Ache Stella Achuenu and 2Ijeoma G.U. Ayuba
1School of Architecture and planning, University of Witwatersrand, Johannesburg
2Department of Urban and Regional Planning, University of Jos, Nigeria
Globally, landcover today is altered principally by direct human use resulting into incidental impacts. The paper analyzed land cover changes of Dadin Kowa, from 1962 to 2005. The method adoptedin this research is the use of Remote sensing and Geographical Information System techniques to evaluate land cover changes using sequential normal black and white aerial photographs for 1962(1:9,000), 1971(1:10,000), 1991(1:6,000) and 2005 satellite imagery of 0.6m Quick Bird resolution. Landcover were identified, interpreted, digitized and classification scheme developed. Each landcover area, their magnitude, rates of change was calculated. The absolute measure technique of percentages was employed in the analysis of data collected. Results revealed that between 1962 to 2005 there was an overwhelming increase in built-up area from 14.02ha or 01.66% in 1971 to 195.83ha or 23.21% in 1991 and to an increase of 413.23ha in 2005, at the expense of agricultural area showing a strong lateral expansion of urban areas at the expense of agricultural land use, vegetation cover and rock outcrops. Results from Pearson Moment Product Correlation Statistics showed that there was no correlation between the size of each land cover and the rate of change between 1962-1971 and 1971-1991. It was also established that there was correlation between the size of each landcover and the rate of change between 1991 and 2005. It was concluded that Changes were due to the increased population mobility, urban expansion, socio economic activities and security challenges. It was therefore, recommended that town planners should monitor development activities within Dadin Kowa so as to make it a better place to live and work in, as a fast growing settlement among others.
Key words; Land Cover Change, GIS, Remote Sensing, Urban Sprawl