Landsat Images Classification and Change Analysis of Land Cover/Use in Istanbul

Year 2016, Volume: 3 Issue: 2, 56 - 65, 02.08.2016

İsmail Büyüksalih

https://doi.org/10.30897/ijegeo.304484

Cited By: 2

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

: Remote sensing; Land cover/Land use, GIS, Temporal Analysis, Landsat

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