Analysis of Multi Temporal Satellite Imagery for Total Suspended Sediments in a Wave-Active Coastal Area-Gaza Strip Coastal Water, Palestine

Yıl 2016, Cilt: 3 Sayı: 1, 1 - 11, 07.03.2016

Midyan D.I. Aldabash Füsun Balık Şanlı

https://doi.org/10.30897/ijegeo.304414

Cited By: 3

Öz

Sediment load materials is one
of the key factors that determine the surface water quality, both of oceanic
and river water, and it specifies water optical properties. Thus it provides a
background for a plenty of applications and projects in the water and
oceanography community. Landsat detects and classifies reflected solar energy
from bodies on the earth's surface. Suspended sediments existing in water
column have an optical influences. So that, Landsat images could detect
suspended sediments concentration in such a water surface. In this study we
have three main objectives to be achieved as; TSS Concentration maps
generation  in the Gaza Strip coastal
zone, achieving analysis processes on TSS trend itself and TSS related coastal
phenomenon, and  investigation of  the ability of Landsat images to detect TSS
comprehensively in a wavy coastal zone. For this purpose two landsat TM5 images
acquired in 1999 and 2010, one Landsat TM7 images acquired in 2003, and 2
Landsat Oli 8 images acquired in 2014 and 2015 were used for TSS mapping. In
addition, 64 TSS in-situ tested samples were also to calculate a correlation
equation between Digital Numbers - DN in each image pixels and TSS values in
the ground data. All image analysis and remote sensing steps have been done in
this study using Integrated Land and Water Information System - ILWIS software
version ILWIS academic 3.3. Green and Red bands in all used Landsat images
contained the highest linear correlation factors -R- for the images acquired in
1999, 2003, 2010, 2014, and 2015. Resulted correlation factors were higher by
reducing time difference between acquisition time and sampling time. Generated
maps showed that circulation in Gaza coastal area are counterclockwise, and it
brings the sediments from Nile River Delta toward Gaza Strip.

Anahtar Kelimeler

TSS, landsat, circulation, water column

Kaynakça

• Bayer, J.M., and Schei, J.L., eds. (2009), PNAMP Special Publication: Remote Sensing Applications for Aquatic Resource Monitoring. Pacific Northwest Aquatic Monitoring Partnership, Cook, Washington, 100 p.
• H. S. Lim, M. Z. MatJafri, K. Abdullah and Robabeh Asadpour. (2011), TSS Mapping Using THEOS Imagery over Penang Island, Malaysia. School of Physics, Universiti Sains Malaysia.
• Hossam Adel Zaqoot, Taysir Saleem Hujair, Abdul Khalique Ansari, Shaukat Hayat Khan. (2010) , Assessment of Land-based Pollution Sources in the Mediterranean Sea along Gaza Coast. Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.
• Javier A. Concha. (2014), The Use of Landsat 8 for Monitoring of Fresh and Coastal Water. Digital Imaging and Remote Sensing Lab-DIRS, Universidad de Concepción, Uruguay.
• Jean Parcher. (2012), Landsat History and Legacy. UNCOPUOS Special Panel for the 40th Anniversary of Landsat, USGS.
• Mahmoud Ali. (2002), The Coastal Zone of Gaza strip-Palestine Management and Problems. Mediterranean network to Assess and upgrade the Monitoring and forecasting Activity in the region (MAMA)-Paris.
• Maycira Pereira de Farias Costa. (1998), Coastal Water Chlorophyll Estimation Using Landsat TM. Instituto Nacional de Pesqulsas Espaclals.
• Mazen Abualtayef, Said Ghabayen, Ahmed Abu Foul, Ahmed Seif, Masamitsu Kuroiwa, Yuhei Matsubara, Omar Matar. (2012), The Impact of Gaza Fishing Harbour on the Mediterranean Coast of Gaza. IUG-Gaza, CRI- Egypt, Tottori University, Japan.
• Mazen Fadel El Bana, and Dr. Zeyad Abu Heen. (2011), Sanitary and Social Effects of Dear El Balah Landfill, Gaza Strip-Palestine. The Islamic University –Gaza, Water Resources Management.
• Mohammad A. Rahman. , Bernd Rusteberg, Mohammad S. Uddin, Muath A. Saada, Ayman Rabi, and Martin Sauter. (2014), Impact Assessment and Multicriteria Decision Analysis of Alternative Managed Aquifer Recharge Strategies Based on Treated Wastewater in Northern Gaza. Leibniz University, Hannover, Germany, and Georg-August Universität Göttingen, Goldschmidtstr, Germany.
• Mustafa Ustuner, Fusun Balik Sanli1, and Barnali Dixon. (2014), Application of Support Vector Machines for Landuse Classification Using High-Resolution RapidEye Images: A Sensitivity Analysis. Department of Geomatic Engineering, Yildiz Technical University, and Department of Environmental Science, Policy and Geography, University of South Florida.
• Stephen E. Wood. (2015), Summary related to course ESS 421 Introduction to Remote Sensing. University of Washington.
• U.S. Environmental Protection Agency, Office of Solid Waste. (1999), Data Collection for the Hazardous Waste Identification RULE, Section 11.0: Aquatic Food Web Data. EPA, Washington, DC.
• Unit Geo Software Development Sector Remote Sensing & GIS. (2001), ILWIS 3.0 Academic, User's Guide. International Institute for Aerospace Survey and Earth Sciences -ITC, Netherlands.
• United Nations Environment Programme- UNEP, and the World Health Organization- WHO, Jamie Bartram and Richard Ballance, E. Ongley. (1996), Water Quality Monitoring - A Practical Guide to the Design and Implementation of Freshwater Quality Studies and Monitoring Programmes, Ch.13 Sediment Measurements.
• United Nations for Relieving and Working Agency-UNRWA, Salem Ajluni. (2010), West Bank and Gaza Strip Population Census of 2007. UNRWA Headquarter, Jordan-Amman. United States Geological Survey-USGS. (2012), Landsat- A Global Land-Imaging Mission. USGS EROS, Sioux Falls, USA.
• World Bank, Daniela Gressani, A. David Craig. (2007), West Bank and Gaza Investment Climate Assessment: Unlocking the Potential of the Private Sector. World Bank, Social and Economic Development Department ,Middle East and North Africa Region.
• http://www.stormwaterx.com/Resources/IndustrialPollutants/TSS.aspx
• http://web.pdx.edu/~emch/ip1/bandcombinations.html
• http://www.lakesuperiorstreams.org/understanding/param_turbidity.html
• https://www.cia.gov/library/publications/the-world-factbook/geos/gz.html