TY - JOUR ID - TI - Extraction of Vacant Lands for Baghdad City Using Two Classification Methods of Very High Resolution Satellite Images AU - Jalal Ibrahim Faraj AU - Faleh Hassan Mahmood PY - 2018 VL - 59 IS - 4C SP - 2336 EP - 2342 JO - Iraqi Journal of Science المجلة العراقية للعلوم SN - 00672904 23121637 AB - 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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