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Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq

Mesopotamia marshlands constitute the largest wetland ecosystem in the Middle East and western Eurasia. These marshlands are located at the confluence of Tigris and Euphrates rivers in southern Iraq. Al-Huwaizah marsh is the biggest marsh in southern Iraq covered by an area (2400 Km2-3000 Km2) and d...

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Main Authors: Hasab, Hashim Ali, Ahmad, Anuar, Marghany, Maged, Ziboon, Abdul Razzak
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Subjects:
G70.39-70.6 Remote sensing
Online Access:http://eprints.utm.my/id/eprint/56078/1/AnuarAhmad2015_LandsatTM-8DataforRetrievingSalinity.pdf
http://eprints.utm.my/id/eprint/56078/
http://dx.doi.org/10.11113/jt.v75.3988
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spelling my.utm.560782017-11-01T04:16:49Z http://eprints.utm.my/id/eprint/56078/ Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq Hasab, Hashim Ali Ahmad, Anuar Marghany, Maged Ziboon, Abdul Razzak G70.39-70.6 Remote sensing Mesopotamia marshlands constitute the largest wetland ecosystem in the Middle East and western Eurasia. These marshlands are located at the confluence of Tigris and Euphrates rivers in southern Iraq. Al-Huwaizah marsh is the biggest marsh in southern Iraq covered by an area (2400 Km2-3000 Km2) and depth (1.5 m-5 m). The construction dams by Turkey and Syrian for water storage as well as hydroelectric power generation along Tigris and Euphrates rivers, led to reduce and deteriorate water quality in Iraq's marshes. Salinity has become one of the major problems affecting crop production and food security in central and southern Iraq. The objective of this study to develop a new algorithm to retrieve salinity and normalized difference vegetation index (NDVI) from optical remote sensing Landsat-8 (OLI/TIRS) data based on differential equations algorithms. The mathematical algorithms are linear, power and exponential algorithm. The integration between remote sensing techniques and geographic information system (GIS) to map hydrodynamic and the spatial variation of salinity distribution. There is a pressing need to quantify and map the spatial extent and distribution of the salinity in Al-Huwaizah marsh of southern Iraq during March-2013. The findings of this study proved that the integration between Landsat-8 data and GIS with salinity algorithms could provide a powerful tool for retrieving salinity in marshes zone. Penerbit UTM Press 2015-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/56078/1/AnuarAhmad2015_LandsatTM-8DataforRetrievingSalinity.pdf Hasab, Hashim Ali and Ahmad, Anuar and Marghany, Maged and Ziboon, Abdul Razzak (2015) Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq. Jurnal Teknologi, 75 (1). pp. 201-206. ISSN 2180-3722 http://dx.doi.org/10.11113/jt.v75.3988 DOI:10.11113/jt.v75.3988
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Hasab, Hashim Ali
Ahmad, Anuar
Marghany, Maged
Ziboon, Abdul Razzak
Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq
description Mesopotamia marshlands constitute the largest wetland ecosystem in the Middle East and western Eurasia. These marshlands are located at the confluence of Tigris and Euphrates rivers in southern Iraq. Al-Huwaizah marsh is the biggest marsh in southern Iraq covered by an area (2400 Km2-3000 Km2) and depth (1.5 m-5 m). The construction dams by Turkey and Syrian for water storage as well as hydroelectric power generation along Tigris and Euphrates rivers, led to reduce and deteriorate water quality in Iraq's marshes. Salinity has become one of the major problems affecting crop production and food security in central and southern Iraq. The objective of this study to develop a new algorithm to retrieve salinity and normalized difference vegetation index (NDVI) from optical remote sensing Landsat-8 (OLI/TIRS) data based on differential equations algorithms. The mathematical algorithms are linear, power and exponential algorithm. The integration between remote sensing techniques and geographic information system (GIS) to map hydrodynamic and the spatial variation of salinity distribution. There is a pressing need to quantify and map the spatial extent and distribution of the salinity in Al-Huwaizah marsh of southern Iraq during March-2013. The findings of this study proved that the integration between Landsat-8 data and GIS with salinity algorithms could provide a powerful tool for retrieving salinity in marshes zone.
format Article
author Hasab, Hashim Ali
Ahmad, Anuar
Marghany, Maged
Ziboon, Abdul Razzak
author_facet Hasab, Hashim Ali
Ahmad, Anuar
Marghany, Maged
Ziboon, Abdul Razzak
author_sort Hasab, Hashim Ali
title Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq
title_short Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq
title_full Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq
title_fullStr Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq
title_full_unstemmed Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq
title_sort landsat tm-8 data for retrieving salinity in al huwaizah marsh, south of iraq
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/56078/1/AnuarAhmad2015_LandsatTM-8DataforRetrievingSalinity.pdf
http://eprints.utm.my/id/eprint/56078/
http://dx.doi.org/10.11113/jt.v75.3988
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score 13.211869

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