Landsat Images Classification and Change Analysis of Land Cover/Use in Istanbul
Author(s) -
I. Büyüksalih
Publication year - 2016
Publication title -
international journal of environment and geoinformatics
Language(s) - English
Resource type - Journals
ISSN - 2148-9173
DOI - 10.30897/ijegeo.304484
Subject(s) - land cover , remote sensing , deciduous , grassland , physical geography , change detection , geography , land use , cloud cover , cohen's kappa , environmental science , cartography , cloud computing , statistics , mathematics , computer science , agronomy , botany , civil engineering , engineering , biology , operating system
This paper describes the methodology and results of classifications of Landsat TM data of the Istanbul for the years 1987 and 2007. Nine different land cover/use categories have been used, named built-up area, cropland, barren ground, grassland, scrub/brush, water, ever green, deciduous, cloud and others uses. When the obtained classification results are evaluated as a result of, the 1987 Landsat image overall accuracy of 79 % and a kappa value of 0.76, the 2007 Landsat image overall accuracy of 83.50% and kappa value of 0.81. Thus, Istanbul's change analysis was revealed that the 20-year period. The classifications have provided an economical and accurate way to quantify, map and analyze changes over time in land cover.
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