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Detection of Flood affected areas of Kalutara District of Sri Lanka by ...

Detection of Flood affected areas of Kalutara District of Sri Lanka by ...

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<strong>Detection</strong> <strong>of</strong> <strong>Flood</strong> <strong>affected</strong> <strong>areas</strong> <strong>of</strong> <strong>Kalutara</strong> <strong>District</strong><br />

<strong>of</strong> <strong>Sri</strong> <strong>Lanka</strong> <strong>by</strong> Using PALSAR Remote Sensing and<br />

GIS Technology<br />

Ajith Rohana Gunawardena<br />

Central Environmental Authority, <strong>Sri</strong> <strong>Lanka</strong><br />

ajith@cea.lk<br />

Abstract<br />

<strong>Flood</strong>s and droughts are more frequently experienced natural hazards in <strong>Sri</strong> <strong>Lanka</strong> These<br />

hazards have a strong impact on the country’s socio-economic environment. The government<br />

spends large amounts <strong>of</strong> money annually to provide relief to families <strong>affected</strong> <strong>by</strong> natural<br />

hazards. <strong>Flood</strong> hazard ranks high among natural hazards in <strong>Sri</strong> <strong>Lanka</strong>. Comparing with the other<br />

districts <strong>of</strong> the country, <strong>Kalutara</strong> district severely subjects to floods. The floods in May 2003<br />

recorded highest damage since 1992. The heavy rainfall caused severe impact on lives and<br />

economic assets <strong>of</strong> the people. The floods occurred in June 2008 also was serious after the<br />

floods in May 2003.<br />

<strong>Kalutara</strong> district is subjected to regular flooding particularly with heavy rains in the upper<br />

catchments <strong>areas</strong> <strong>of</strong> the Kaluganga, damaging houses, urban centers schools the roads network,<br />

home gardens, crops, industries and etc. As such inhabitants <strong>of</strong> this district have been badly<br />

<strong>affected</strong> <strong>by</strong> frequent floods. Their livelihood and social life have been disturbed. So far, no<br />

specific adaptation or mitigatory measures have been taken in this regard.<br />

Keywords: floods, droughts


1. <strong>Detection</strong> <strong>of</strong> flood <strong>affected</strong> area and development <strong>of</strong><br />

flood map<br />

To having a flood <strong>affected</strong> and vulnerability area map is very important tool to environmental<br />

management as well as after flood management practices. However, development <strong>of</strong> such map<br />

<strong>by</strong> field work is very difficult and time consuming task .To overcome above limitations,<br />

RADAR satellite images and GIS technology can be used to develop flood <strong>affected</strong> area map.<br />

2. Objective<br />

The main objective <strong>of</strong> this study are to prepare a flood map <strong>by</strong> using PALSAR (Phase Array L<br />

band Synthetic Aperture Radar) Remote Sensing and GIS Technology and flood risk map for<br />

<strong>Kalutara</strong> district overlaying with other map features such as road net work, land uses,<br />

population, transportation, schools, industries and etc. and explore impact on people who live<br />

there .<br />

Once this flood risk map is produced it could be utilized for planning sustainable project,<br />

identification <strong>of</strong> vulnerable people and resources in the flooding <strong>areas</strong> and also for preparation<br />

<strong>of</strong> disaster preparedness plan. The Central Environmental Authority (CEA) as a regulatory<br />

authority concerned with conservation and management <strong>of</strong> the environment in <strong>Sri</strong> <strong>Lanka</strong><br />

3. Methodology<br />

ALOS PALSAR 1.5 satellite images taken on 03, June.2008 (peak flood period) and on 14<br />

Aprial,2008 ( Non flood day) were used to prepare flood map. According to the situation<br />

report- 2008 <strong>of</strong> Disaster Management Center, <strong>Kalutara</strong> was one <strong>of</strong> the most effected districts in<br />

the Western province due to torrential rain resulting from the South West monsoon and it has<br />

been experiencing flood situation since 30th May 2008.<br />

Acquired images on 03 rd , June were geometrically rectified into UTM (Universal Transverse<br />

Mercator) projection and datum WGS 84 (zone 44) using ground control points obtained<br />

through GPS together with 1: 50,000 topographic maps. Then the image was subjected to<br />

unsupervised classification to obtain 10 different classes According to the color variability flood<br />

<strong>affected</strong> layer was identify <strong>by</strong> visual interpolation and developed a flood <strong>affected</strong> area layer on<br />

the map. Previously collected GPS locations were used to check the accuracy <strong>of</strong> flooded area in<br />

the map.<br />

Same procedure was followed for the images taken on non-flood day (14 th ,April) to produce<br />

existing water layer (water bodies and ways) and it was overlaid with the flood layer and<br />

extracted actual flood <strong>affected</strong> area to developed the final flood map.The produced flood map<br />

was overlaid with other relevant map layers such as administrative boundaries, road net work,<br />

and school. Industries, land uses and etc. to explore the impacts on people due to flood.


4. Data and material and s<strong>of</strong>tware used<br />

ALOS PALSAR 1.5 satellite images, 1:50,000 topographic maps, ArcGIS, ERDAS, Remote 10,<br />

Adobe Photoshop s<strong>of</strong>tware and GPS data were used to this project analysis.<br />

5. Results and discussion<br />

It is estimated that 7.28 % <strong>of</strong> the total land area <strong>of</strong> the <strong>Kalutara</strong> district has been inundated<br />

during the flood occurred in June, 2008. When contour layer is super imposed on flood map<br />

prepared, it is shown clearly that low lying area <strong>of</strong> the study area has been inundated and most<br />

<strong>of</strong> these lands are located in closed proximity to the coastal area. Generally majority <strong>of</strong> the lands<br />

<strong>of</strong> the <strong>Kalutara</strong> district are high elevated ones. Therefore, severity <strong>of</strong> the flood may be much<br />

higher in these low lying <strong>areas</strong> and also comparing with the flood damages in the other districts<br />

<strong>of</strong> <strong>Sri</strong> <strong>Lanka</strong>. Highest percentage <strong>of</strong> flooded area covered <strong>by</strong> paddy fields (about 52.67 % ) and<br />

followed <strong>by</strong> Rubber (25.34%) , Home gardens ( 15.8% ) and it can be observed that some<br />

where <strong>of</strong> all class A and B roads and minor road <strong>of</strong> the district have been submerged <strong>by</strong> flood<br />

water. Therefore, the accesses to most <strong>of</strong> the non-inundated <strong>areas</strong> have also been <strong>affected</strong>.<br />

Figure 1: <strong>Flood</strong> <strong>affected</strong> area map <strong>of</strong> <strong>Kalutara</strong> district developed using PALSAR remote sensing<br />

technology


6. Conclusion<br />

The flooding map made <strong>by</strong> analyzing the satellite image taken during the real flood time and<br />

the flood risk map prepared <strong>by</strong> overlaying with other relevant map layers create very<br />

comprehensive and accurate information / data with less effort and less time . The flood risk<br />

map shows actual situation <strong>of</strong> the area , land uses inundated, <strong>affected</strong> industries, schools, road<br />

net work, important eco-systems and etc. during the flood.<br />

Finally, Considering the usefulness <strong>of</strong> these data / information derived under this study , it is<br />

recommended that this type <strong>of</strong> GIS based studies should be extended to the other part <strong>of</strong> the<br />

country to identify the real effect <strong>of</strong> flood as well as other disasters , impacts on people and to<br />

prepare adaptation/mitigation and rescue plans.

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