Abstract
Landsat-5 data provide information related to bathymetry and bottom type variations as registered by three water-penetrating bands. In this study, band 1 and band 2 data were used for mapping of subtidal coastal habitats in the Abu Ali Bay, Gulf Coast of Saudi Arabia. The method used here is based on eigenvector rotation of the two bands to enhance bottom type variations. The eigenvector rotation reduced the effect of water depth variations on bottom types. The results are presented as a colour-coded image showing five major habitats in Abu Ali Bay.
| Original language | English |
|---|---|
| Pages (from-to) | 605-614 |
| Number of pages | 10 |
| Journal | International Journal of Remote Sensing |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| State | Published - Mar 1992 |
Bibliographical note
Funding Information:Acknowledgments The authors wish to acknowledge the Saudi Arabian Oil Company (Saudi Aramco) and the Ministry of Petroleum and Minerals for support under KFUPM/RI Project No. 24128. The support of Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, for the use of Image Processing Center is also acknowledged. We are grateful to A. B. Tam and M. Hassan for providing the ground truth data and preparing the biotope map of Abu Ali Bay.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- General Earth and Planetary Sciences
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