The best delimitation of earth features using Landsat 7 satellite composite images of al Mishkhab subdistrict and surrounding
Other Title(s)
تحديد المظاهر الأرضية لناحية المشخاب و ما يجاورها باستخدام مرئيات لاندسات-7
Author
Source
Issue
Vol. 10, Issue 2 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
University of Kufa Faculty of Science Department of Physics
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Earth Sciences, Water and Environment
Abstract EN
The study focuses on the optimum index factor (OIF) and determinant covariance methods.
Landsat 7 ETM+ image of Al-Mishkhab subdistrict was used to obtain the optimum results that were explaining earth features.
the best result of image composite (OIF) was RGB 345, and determinant covariance was RGB 123 both for cultivated areas, water, and bare soil.
In comparison with the two methods, the principal component analysis (PCA) was used in determining the landmarks precisely.
American Psychological Association (APA)
Abu Ghunaym, Sad Rashid Yusuf. 2018. The best delimitation of earth features using Landsat 7 satellite composite images of al Mishkhab subdistrict and surrounding. Journal of Kufa-Physics،Vol. 10, no. 2, pp.1-7.
https://search.emarefa.net/detail/BIM-902188
Modern Language Association (MLA)
Abu Ghunaym, Sad Rashid Yusuf. The best delimitation of earth features using Landsat 7 satellite composite images of al Mishkhab subdistrict and surrounding. Journal of Kufa-Physics Vol. 10, no. 2 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-902188
American Medical Association (AMA)
Abu Ghunaym, Sad Rashid Yusuf. The best delimitation of earth features using Landsat 7 satellite composite images of al Mishkhab subdistrict and surrounding. Journal of Kufa-Physics. 2018. Vol. 10, no. 2, pp.1-7.
https://search.emarefa.net/detail/BIM-902188
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7
Record ID
BIM-902188