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Develop algorithm for change detection of the salinity from Landsat-8 images


Citation

Hasab, Hashim Ali and Ahmad, Anuar and Marghany, Maged and Ziboon, Abdul Razzak (2016) Develop algorithm for change detection of the salinity from Landsat-8 images. In: 6th International Graduate Conference on Engineering, Science and Humanities (IGCESH 2016), 15-17 Aug. 2016, Universiti Teknologi Malaysia, Johor Bahru, Malaysia. (pp. 534-536).

Abstract

Al-Hawizeh marsh is one of the major marshes southern Iraq. This marsh is covered an area of (2,500-3000) km2. It represents an important water source for peoble and irrigate farmland. The domestic and industrial pollution sources are led to reduction and deterioration of water quality in this marsh. There are approximately 74% of irrigated land are suffering from certain degree of salination. Optical remote sensing sensors such as Landsat-8 (OLI/TIRS) have showed excellent promises for salinity change detection. This is because their abilities to determine spectral signature of any object on the ground and water bodies. The aims of this study to develop mathematical algorithms for the salinity change detection from Landsat-8 images. The integration between remote sensing and geographic information system for retrieving the salinity, spatial variation and distributions within Al-Huwaizah marsh southern Iraq during four seasons in 2013.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Publisher: School of Graduate Studies, Universiti Teknologi Malaysia
Keywords: Landsat data; Salinity; Change detection; Mathematical algorithm; GIS
Depositing User: Nabilah Mustapa
Date Deposited: 03 Sep 2018 04:03
Last Modified: 03 Sep 2018 04:03
URI: http://psasir.upm.edu.my/id/eprint/64939
Statistic Details: View Download Statistic

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