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Land is the most important natural resource on which all activities arebased Land use is influenced by economic cultural politicalhistorical and land - tenure factors at multiple scales Manonmani2010 The term land use refers to how the land is being used by humanbeings Land cover refers to the biophysical materials found on theland like water vegetation and soil Jensen 2007 Land use landcover changes transfer by different phenomena that depends on naturaldisasters such as volcano storms and earthquakes Furthermore humanactivities and population are increasing the requirements of the limitedground and soil resources for agriculture forest pasture urban andindustrial land uses As well the development of the urban areas isable to be detected through change or transformation of landscapes Over time however positive changes can regress to negative changesdepending upon different environmental factors There are techniqueswhich were used to analyze the land use change These consisted ofremote sensing technology and Geographic Information System GIS Theyprovide efficient methods for analysis of land use issues and tools forland use planning and modeling Phukan 2013 The objective of thisstudy is to monitor the change detection of both land use and land coverwithin the study area and determine how together remote sensing and GIScan identify the difference and spatial distribution in land coverchangeThe methodology that will be used for this study will utilize datarelated to a specific urban area The urban area will consist ofdifferent land types including commercial industrial towns and variedlandscapes The study will use ERDAS software tools where each image isclassified through supervised Maximum Likelihood ClassificationAlgorithm This area will be classified into five main classes residential area commercial area industrial area agriculture area andopen area In line with methodology used in previous studies it willuse accuracy assessment alongside a land cover map In order to increasethe accuracy of land cover mapping of the two images ancillary data andthe result of visual interpretation was integrated with theclassification result using GIS in order
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