Landsat Images Classification and Change Analysis of Land Cover/Use in Istanbul
Abstract
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.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Publication Date
August 2, 2016
Submission Date
June 16, 2016
Acceptance Date
June 2, 2016
Published in Issue
Year 2016 Volume: 3 Number: 2
Cited By
Determination of Land Use Change using Support Vector Machines: A Case Study of Arnavutkoy, Istanbul
International Journal of Environment and Geoinformatics
https://doi.org/10.30897/ijegeo.688826
