Discrimination of soil types in southern Kuwait using remote sensing classification techniques on landsat 8 etm+ satellite images

Author

al-Azmi, Walid Khalid

Source

Journal of Natural Sciences, Life and Applied Sciences

Issue

Vol. 1, Issue 1 (31 Mar. 2017), pp.41-55, 15 p.

Publisher

National Research Center

Publication Date

2017-03-31

Country of Publication

Palestine (Gaza Strip)

No. of Pages

15

Main Subjects

Mathematics

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