Extraction of vacant lands for Baghdad city using two classification methods of very high resolution satellite images
Other Title(s)
استخلاص الأراضي الشاغرة لمدينة بغداد باستخدام طريقتي تصنيف لصور الفضائية عالية الدقة
Joint Authors
Faraj, Jalal Ibrahim
Mahmud, Falih Hasan
Source
Issue
Vol. 59, Issue 4C (31 Dec. 2018), pp.2336-2342, 7 p.
Publisher
University of Baghdad College of Science
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Earth Sciences, Water and Environment
Topics
Abstract EN
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.
American Psychological Association (APA)
Faraj, Jalal Ibrahim& Mahmud, Falih Hasan; Mahmud, Falih Hasan. 2018. Extraction of vacant lands for Baghdad city using two classification methods of very high resolution satellite images. Iraqi Journal of Science،Vol. 59, no. 4C, pp.2336-2342.
https://search.emarefa.net/detail/BIM-899230
Modern Language Association (MLA)
Faraj, Jalal Ibrahim& Mahmud, Falih Hasan; Mahmud, Falih Hasan. Extraction of vacant lands for Baghdad city using two classification methods of very high resolution satellite images. Iraqi Journal of Science Vol. 59, no. 4C (2018), pp.2336-2342.
https://search.emarefa.net/detail/BIM-899230
American Medical Association (AMA)
Faraj, Jalal Ibrahim& Mahmud, Falih Hasan; Mahmud, Falih Hasan. Extraction of vacant lands for Baghdad city using two classification methods of very high resolution satellite images. Iraqi Journal of Science. 2018. Vol. 59, no. 4C, pp.2336-2342.
https://search.emarefa.net/detail/BIM-899230
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 2342
Record ID
BIM-899230