Discrimination of soil types in southern Kuwait using remote sensing classification techniques on landsat 8 etm+ satellite images
Author
Source
Journal of Natural Sciences, Life and Applied Sciences
Issue
Vol. 1, Issue 1 (31 Mar. 2017), pp.41-55, 15 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
15
Main Subjects
Abstract EN
This study focuses on satellite data Landsat 8 ETM+ and application of remote sensing techniques to delineate various kinds of soils using digital image processing in the southern part of Kuwait.
Southern part of Kuwait comprises desert plains, oil fields, sabkha and wafra farms.
In this study, satellite imagery is used to achieve rapidly to the actual soil classification.
Considering the inaccessibility of the desert areas, RS is essential to accommodate spatial variability and information.
Spatial modeling involves the use of GIS for representation of the conceptual model and performance of simple mathematical computations on the stored GIS object attributes for displaying the results spatially
American Psychological Association (APA)
al-Azmi, Walid Khalid. 2017. Discrimination of soil types in southern Kuwait using remote sensing classification techniques on landsat 8 etm+ satellite images. Journal of Natural Sciences, Life and Applied Sciences،Vol. 1, no. 1, pp.41-55.
https://search.emarefa.net/detail/BIM-904207
Modern Language Association (MLA)
al-Azmi, Walid Khalid. Discrimination of soil types in southern Kuwait using remote sensing classification techniques on landsat 8 etm+ satellite images. Journal of Natural Sciences, Life and Applied Sciences Vol. 1, no. 1 (Mar. 2017), pp.41-55.
https://search.emarefa.net/detail/BIM-904207
American Medical Association (AMA)
al-Azmi, Walid Khalid. Discrimination of soil types in southern Kuwait using remote sensing classification techniques on landsat 8 etm+ satellite images. Journal of Natural Sciences, Life and Applied Sciences. 2017. Vol. 1, no. 1, pp.41-55.
https://search.emarefa.net/detail/BIM-904207
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 54-55
Record ID
BIM-904207