Eco-geomorphological zonation of the Bangaram reef, Lakshadweep
DRS at CSIR-National Institute of Oceanography
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Title |
Eco-geomorphological zonation of the Bangaram reef, Lakshadweep
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Creator |
Deshmukh, B.
Bahuguna, A. Nayak, S. Dhargalkar, V.K. Jagtap, T.G. |
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Subject |
Coral reefs
biological diversity Remote sensing |
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Description |
Coral reefs, which are known for rich biological diversity and productivity, are being threatened throughout the world by various natural and anthropogenic activities. The present study concentrates on establishing methodology to zone the geo-morphological and ecological zones of the Bangaram reef (of atoll type), Lakshadweep islands, using remotely sensed data and adequately supported by field data. Classification system has been evolved to zone the reefs. Comparative studies have also been carried out using image processing techniques in order to establish the suitable technique for studying the Indian reefs. The IRS LISS III images representing three different tidal conditions of the period 1998-2000 were analyzed. The unsupervised classification of both the raw images as well as principal component images gave similar information. The classified product was subjected to contextual editing. Misclassification among various classes was found to increase with the increase in the depth of the water column present over the reef. The zones identified on the image are central deep lagoon, reef knolls (rising steeply from the central deep lagoon floor), reef edge, reef platform, coralline shelf, broad shallow sandy-bottomed lagoon, beach and two islets. The zonation has helped in getting information on the presence of live corals on the Bangaram reef. This kind of study is a valuable input in assessing the health of the reefs and its diversity.
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Date |
2006-11-14T11:01:38Z
2006-11-14T11:01:38Z 2005 |
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Type |
Journal Article
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Identifier |
Photonirvachak, vol.33(1), 99-106p.
http://drs.nio.org/drs/handle/2264/486 |
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Language |
en
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Format |
130701 bytes
application/pdf |
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Publisher |
The Indian Society of Remote Sensing
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