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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

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