Research Journal of Science & IT Management - RJSITM - The ...
Research Journal of Science & IT Management - RJSITM - The ...
Research Journal of Science & IT Management - RJSITM - The ...
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and Bangladesh is the worst suffer <strong>of</strong> all cyclonic casualties in the world. About 5.5% cyclonic storms<br />
form in the Bay <strong>of</strong> Bengal and about 1% cyclonic storm <strong>of</strong> the global total hits in Bangladesh.<br />
Information concerning Sea Surface Temperature (SST) is needed in the assessment <strong>of</strong> potential<br />
fishing zone and site selection for marine culture (grouper, snapper, seaweed, and pearls) (Nontji,<br />
1987), which are normally these areas are rich <strong>of</strong> nutrient. SST is also used as indicator <strong>of</strong> the<br />
environment required for the living <strong>of</strong> some marine biota. It is also important for early warning for<br />
cyclone formation. In conventional way, the temperature is observed by using the standard mercury<br />
thermometer from the water sample collected from the ship. This conventional method applies only for<br />
surface water. It is also time consuming and expensive for a large area. With the use <strong>of</strong> remote sensing<br />
techniques, the skin temperatures at the sea air interface are measured with limited ground<br />
observations. <strong>The</strong> study <strong>of</strong> SST distribution model mostly has been used using low to moderate spatial<br />
resolution satellites data, such as NOAA, and MODIS and the result always used for global scale<br />
applications. A lot <strong>of</strong> papers and reports have been published about algorithm/model for SST mapping<br />
using NOAA data, most common algorithm known are algorithm model by McMillin and Crosby<br />
(Pellegrini and Penrose, 1986; Goda, 1993; McClain, 1981 cited in Hasyim et. al, 1996). Hasyimet. al.<br />
(1996) reported that algorithm model by McMillin and Crosby can represent the condition <strong>of</strong> SST<br />
distribution in global scale.<br />
In this paper, attempt has been made to prepare a digital map showing the distribution <strong>of</strong> bathymetry<br />
and SST using Landsat-TM data over selected coastal area <strong>of</strong> Bangladesh. This will be helpful for<br />
decision makers <strong>of</strong> coastal zone management and fishing industries development.<br />
2. Objectives<br />
To introduce the new technology in coastal management by using remote sensingtechnique as a<br />
replacement <strong>of</strong> costly and time consuming conventional way.<br />
To produce a bathymetry map over Bangladeshcoastal areas using satellite image for safe<br />
navigation.<br />
To produce a sea surface temperature map over Bangladesh coastal areas using satellite imagesfor<br />
fishing industry development.<br />
3. Study area, data and s<strong>of</strong>tware used<br />
3.1 Study area<br />
<strong>The</strong> study report in this paper is carried out on the coastal area <strong>of</strong> Bangladesh extending from 89º 15´<br />
59˝ to 91º 05´ 10˝E and 20º 42´38˝ to 22º 35´ 18˝ N (TM frame 137/45). Figure 1 shows the image <strong>of</strong><br />
study area.<br />
Study Area<br />
Figure 1: Coastal area <strong>of</strong> Bangladesh extending from 89º 15´ 59˝ to 91º 05´ 10˝ E and 20º<br />
42´38˝ to 22º 35´ 18˝ N.<br />
www.theinternationaljournal.org > RJS<strong>IT</strong>M: Volume: 02, Number: 02, December-2012 Page 2