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Extraction of Vacant Lands for Baghdad City Using Two Classification Methods of Very High Resolution Satellite Images

Authors: Jalal Ibrahim Faraj --- Faleh Hassan Mahmood
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2018 Volume: 59 Issue: 4C Pages: 2336-2342
Publisher: Baghdad University جامعة بغداد


The use of remote sensing technologies was gained more attention due to an increasing need to collect data for the environmental changes. Satellite image classification is a relatively recent type of remote sensing uses satellite imagery to indicate many key environment characteristics. This study aims at classifying and extracting vacant lands from high resolution satellite images of Baghdad city by supervised Classification tool in ENVI 5.3 program. The classification accuracy was 15%, which can be regarded as fairly acceptable given the difficulty of differentiating vacant land surfaces from other surfaces such as roof tops of buildings.

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