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Challenges in using Remote Sensing Technology for Disaster Management

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the country <strong>in</strong>itiated Flood Hazard Zonation mapp<strong>in</strong>g us<strong>in</strong>g historical satellite data<br />

acquired dur<strong>in</strong>g floods of different magnitudes. Flood Hazard Zonation Mapp<strong>in</strong>g and<br />

District-Wise Flood Hazard Atlases are prepared <strong>for</strong> Assam and Bihar (Fig-3); whereas<br />

<strong>for</strong> Odisha and Uttar Pradesh work is <strong>in</strong> progress and flood hazard zonation <strong>for</strong> West<br />

Bengal is <strong>in</strong>itiated. The flood hazard maps have been classified <strong>in</strong>to 5 categories, viz.<br />

very low (<strong>in</strong>undated once or twice), low (<strong>in</strong>undated 3-4 times), moderate (<strong>in</strong>undated 5-6<br />

times), high (<strong>in</strong>undated 7-8 times) and very high (<strong>in</strong>undated 9-10 times).<br />

Fig-3: Flood Hazard Zones <strong>in</strong> Bihar derived from satellite data of 1998- 2010<br />

d. River Bank Erosion and changes <strong>in</strong> river course mapp<strong>in</strong>g: Frequent flood<strong>in</strong>g <strong>in</strong> the<br />

North-North Eastern State has resulted <strong>in</strong> changes <strong>in</strong> river course and bank erosion due to<br />

heavy sediment loads and gentle river slopes. Us<strong>in</strong>g multi-year satellite data, the extent of<br />

bank erosion is carried out <strong>for</strong> Brahmaputra River and regularly is be<strong>in</strong>g updated also.<br />

e. Aggregated Flood and Flood Prone Area Assessment<br />

The flood prone area <strong>in</strong> India, generally referred official documents is based on the<br />

<strong>in</strong><strong>for</strong>mation aggregation of the <strong>in</strong><strong>for</strong>mation provided by State Governments. NRSC has<br />

<strong>in</strong>itiated a study to scientifically assess the flood prone area. As a first step, available<br />

historical satellite datasets acquired dur<strong>in</strong>g the flood season (more than 100 historical<br />

satellite datasets) from Indian <strong>Remote</strong> Sens<strong>in</strong>g Satellites (IRS) and <strong>for</strong>eign satellites have<br />

been analyzed <strong>for</strong> generat<strong>in</strong>g the aggregated extent of flood <strong>in</strong>undated area (Fig-4). Only<br />

those datasets correspond<strong>in</strong>g to either high flood situation or unprecedented floods were<br />

used <strong>in</strong> this study.

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