LAND USE AND LAND COVER CHANGES USING SPOT 5 PANSHARPEN IMAGES; A CASE STUDY IN AKDENIZ DISTRICT, MERSIN-TURKEY

Abstract

The main objective of the study is to quantify main changes in urban area of Akdeniz district of Mersin province using Pan sharpen SPOT 5 MS (with 3 bands) satellite images. In this study, land cover and land use maps of 2006 and, 2014 are produced using Maximum Likelihood supervised classification technique to detect the growth of urban area in the selected area. Preprocessing methods, including geometric and radiometric correction were performed. From to changes method was applied to determine the land cover/land use transformation in the region. An accuracy assessment was conducted using overall accuracy and Kappa statistics. Results show that maps obtained from images for 2006, and 2014 had an overall accuracy of 82.96%, and 84.00%, and a Kappa coefficient of 0.80, and 0.82, respectively. The results showed that between the selected years the district faced a huge transformation from agricultural fields and bare lands to artificial surfaces. Change detection between 2006 and 2014 shows that most of the agricultural fields (6295,1 ha) have been increased; moreover, artificial surfaces and green houses have also increased. The largest decrease has occurred for bare lands area of which approximately 3942,5 ha. According to the results, artificial surfaces was increased by 189 ha from 2006 to 2014 in Akdeniz District of Mersin.

Keywords

• Land Use
• Land Cover
• Change Detection
• SPOT
• Remote Sensing

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