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