Analysis of Multi Temporal Satellite Imagery for Total Suspended Sediments in a Wave-Active Coastal Area-Gaza Strip Coastal Water, Palestine
Abstract
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.
Keywords
References
- 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.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
March 7, 2016
Submission Date
January 20, 2016
Acceptance Date
February 29, 2016
Published in Issue
Year 2016 Volume: 3 Number: 1
Cited By
Spatio-temporal analysis of prodelta dynamics by means of new satellite generation: the case of Po river by Landsat-8 data
International Journal of Applied Earth Observation and Geoinformation
https://doi.org/10.1016/j.jag.2017.11.012Mapping turbidity patterns in the Po river prodelta using multi-temporal Landsat 8 imagery
Estuarine, Coastal and Shelf Science
https://doi.org/10.1016/j.ecss.2016.11.003
