Identification of hot spots and well managed areas of Pichavaram mangrove using Landsat TM and Resourcesat—1 LISS IV: an example of coastal resource conservation along Tamil Nadu Coast, India |
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Authors: | T Srinivasa Kumar R S Mahendra Shailesh Nayak K Radhakrishnan Kali C Sahu |
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Institution: | (1) Indian National Centre for Ocean Information Services (INCOIS), Hyderabad, 500 055, India;(2) Ministry of Earth Sciences (MoES), New Delhi, 110003, India;(3) Vikram Sarabhai Space Centre (VSSC), Thiruvananthapuram, 695022, India;(4) Department of Marine Science, Berhampur University, Berhampur, 760 007, India |
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Abstract: | The present work is a multi-temporal satellite based study on the spatial dynamic of an important coastal habitat, the Pichavaram
mangrove ecosystem, over a period of 15 years. The Pichavaram mangrove forest near Chidambaram, South India is the second
largest mangrove forest in the world. Unsupervised classification, the Iterative Self Organising Data Analysis Technique (ISODATA),
has been used to classify the mangrove cover into the open and dense classes. The status of the classes has been monitored
using Landsat TM of 1991, 2001, and Resourcesat–1 LISS IV of 2006 satellite data. The study demonstrated that by classifying
mangrove ecosystem into just the 3 classes using remote sensing data and by studying their temporal variations, it is possible
to get a reasonably accurate picture of the extent and condition of the mangrove ecosystem. The total area of the Pichavaram
mangrove showed a net increase of 2.51 km2 within a span of 15 years (1991 to 2006). The hot spots that are at a risk of being degraded, and on the other hand, the
mangrove areas that are well managed are identified using Geographical Information System (GIS) tools for the restoration
and conservation measures. |
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Keywords: | |
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