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.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | March 7, 2016 |
Published in Issue | Year 2016 Volume: 3 Issue: 1 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.