Journal of Food, Agriculture and Environment
Vol 11,
Issue 2,2013
Online ISSN: 1459-0263
Print ISSN: 1459-0255
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Land-cover classification using advanced land observation satellite imagery: A case study of the peri-urban region of Antakya
Author(s):
Aysel Guzelmansur 1,
Seref Kilic 2*Recieved Date: 2013-02-10, Accepted Date: 2013-04-28
Abstract:The aim of the study was to examine the potential maximum likelihood classification in the mapping of basic land cover/land use classes by using ALOS AVNIR-2 imagery. The two specific objectives were; (a) to develop a maximum likelihood classification scheme for mapping land cover/land use classes using ALOS AVNIR-2 imagery, (b) to estimate the accuracy of the used method. Land cover nomenclature is classified according to the Coordination of Information on the Environment (CORINE) Level 2 and 3 classifications. Ten urban land cover classes were used in this study: river, wetland vegetation, forest, mining area, shadow, mountain forest, cemetery, agriculture, built up area, industrial area. The classification accuracy was assessed using 218 pixels were stratified randomly distributed throughout the study area and independent of training sites used by the supervised classification algorithm. The results show that overall classification accuracies is 81.19% and overall kappa statistics is 0.7845.
Keywords:ALOS AVNIR 2 Imagery,
CORINE, land use/land cover, accuracy assessmentJournal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 2
Category: Environment
Pages: 1178-1181
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