Open AccessA Classification of Landuse using time series analysis of Kota Tinggi District ,Johor Bahru, Malaysia.
Author(s) -
Alhaji Mustapha Isa
Publication year - 2019
Publication title -
asia proceedings of social sciences
Language(s) - English
Resource type - Journals
eISSN - 2663-6638
pISSN - 2663-662X
DOI - 10.31580/apss.v4i1.582
Subject(s) - thematic mapper , deforestation (computer science) , cohen's kappa , land cover , thematic map , remote sensing , land use , geography , confusion , forest cover , change detection , time series , cartography , environmental science , forestry , satellite imagery , mathematics , computer science , statistics , engineering , psychology , ecology , civil engineering , psychoanalysis , biology , programming language
Deforestation and climate change have become global environmental issues. The detection of forest changes in association with climate change can be successfully carried out by the use of multi-temporal remote sensing and modelling. This study undertook analysis of the past and present condition of the forest from the pattern changes of the Kota tinggi district johor state Malaysia, using landsat images of three different periods. These are thematic mapper (TM) data of 1998; enhanced thematic mapper (ETM+) image of 2008 and the operation land imager (OLI) of 2018 were collectively used. The images were geometrically and atmospherically pre-processed then classified, using maximum likelihood (M/C) algorithm to produce thematic land use/cover maps of the district. The accuracy of the classification was assessed through ground truthing and confusion matrices which revealed an accuracy of above 90% and kappa coefficient at 0.9 respectively.