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Evaluation of Vegetation density of the Mangrove forest in South Andaman Island using Remote Sensing and GIS techniques

Author Affiliations

  • 1 Department of Disaster Management, Pondicherry University, Port Blair, INDIA

Int. Res. J. Environment Sci., Volume 3, Issue (8), Pages 19-25, August,22 (2014)

Abstract

The gregarious distribution of mangroves forms the habitat on the large extent in the coastline of Andaman Islands. Southern part of South Andaman Island was taken for this study where the mangroves are threatened by anthropogenic activities and natural calamities. Remote Sensing and GIS techniques were used to evaluate the vegetation density of mangrove forest in this area. The LISS IV satellite image was used to map the mangrove forest using visual interpretation technique. Mangroves were delineated from the inland forest cover and other land cover features. NDVI method was used to evaluate the forest density cover of mangroves. Based on the canopy cover percentage it was classified into dense, moderate, sparse and degraded forest. The total mangrove canopy cover occupies 1842.89 ha which is 74.5% of total area of the mangrove forest, nearly 54.11% of canopy comes under moderate vegetation of mangroves and it occupies maximum of the mangrove forest in this island. Whereas dense vegetation occupies 283.10 ha indicating fine health status of the forest. Sparse forest occupies around 501.34 ha indicates the encroachment activities in this forest. Degraded vegetation was observed in the urban landuse and tsunami impacted areas that occupies around 101.40 ha were confirmed in the field survey. This preliminary cost benefit study was used to evaluate the status of vegetation density of mangrove forest of Southern Andaman Island which is in use to monitor the forest.

References

  1. Tomlinson P.B., The botany of mangroves.Cambridge University Press, Cambridge (1986)
  2. Pawar Tushar Anant, Study of Mangrove flora along the Zuari River (Case study on Curtorim Village – Goa- India), International Research Journal of Environment Sciences, 1(5), 35-39, (2012)
  3. Heumann B.W., Satellite remote sensing of mangrove forests: Recent advances and future opportunities, Progress in Physical Geography, 35(1), 87-108 (2011)
  4. Manson F.J., Loneragan N.R., Skilleter G.A. and Phinn S.R., An evaluation of the evidence for linkages between mangroves and fisheries: A synthesis of the literature and identification of research directions. In Oceanography and Marine Biology: An Annual Review; Gibson, R.N., Atkinson, R.J.A., Gordon, J.D.M., Eds.; Taylor and Francis: London, 43, 485-515 (2005)
  5. Peter J., Hogarth, The Biology of Mangroves and Seagrasses, Second edition, Oxford University Press, New York (2010)
  6. Das S., The role of natural ecosystems and socio-economic and storm surge, Nat Hazards, 64, 531–546 (2012)
  7. Spalding M., The global distribution and status of mangrove ecosystems, Int. NewsLett. Coast. Manage,1, 20-21 (1997)
  8. Giri C., Bruce Pengra, Zhiliang Zhu, Ashbindu Singh and Larry L., Tieszen, Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000, Estuarine Coastal and Shelf Science, 73, 91-100 (2007)
  9. Naskar K., Manual of Indian Mangroves, Daya Publishing House, New Delhi 220 (2004)
  10. Jayaraj R.S.C. and H.V. Andrews, Andaman and Nicobar Islands Union Territory Biodiversity Strategy and Action Plan, Andaman and Nicobar Islands Environmental Team, Madras Crocodile Bank Trust, Tamil Nadu, India (2005)
  11. Dam Roy S., Krishnan P., Grinson George, Kaliyamoorthy M. and Goutham Bharathi M.P., Mangroves of Andamanand Nicobar Islands. Central Agricultural Research Institute, Port Blair (2009)
  12. Roby T.J., Nair P.V. and Joyce Jose, GIS techniques for Mapping highly Fragmented ecosystems- A case study on the Myristica swamp forests of Southern Kerala, India, Research Journal of Recent Sciences, 3(ISC-2013)110-119 (2014)
  13. Everitt J.H., Yang C., Sriharan S. and Judd F.W., Using high resolution satellite imagery to map black mangrove on the Texas Gulf Coast, J. Coast. Res.,24, 1582-1586 (2008)
  14. Giri C. and Muhlhausen J., Mangrove Forest Distributions and Dynamics in Madagascar (1975–2005) Sensors, 8,2104-2117 (2008)
  15. Claudia Kuenzer, Andrea Bluemel, Andrea Bluemel, Tuan Vo Quoc and Stefan Dech, Remote Sensing of Mangrove Ecosystems: A Review, Remote Sensing,3, 878-928 (2011)
  16. Green E.P., Clark C.D., Mumby P.J., Edwards A.J. and Ellis A.C., Remote sensing techniques for mangrove mapping, Int. J. Remote Sens,19, 935-956 (1998)
  17. Seto K.C. and Fragkias M., Mangrove conversion and aquaculture development in Vietnam: A remote sensing-based approach for evaluating the Ramsar Convention on Wetlands, Glob. Environ. Change, 17, 486-500 (2007)
  18. Ramsey E.W., III and Jensen J.R. Remote sensing of mangrove wetlands: Relating canopy spectra to site-specific data, Photogramm. Eng. Remote Sensing, 62, 939-948 (1996)
  19. Dam Roy S. and Krishnan P., Mangrove stands of Andamans vis-à –vis tsunami, Current Science, 89(11),1800–1804 (2005)
  20. Dharanirajan K., Pandian P.K., Gurugnanam B., Narayanan R.M. and S. Ramachandran, An Integrated Study for the Assessment of Tsunami Impacts: A Case Study of South Andaman Island, India Using Remote Sensing and GIS,Coastal Engineering Journal,49(3), 229-266 (2007)
  21. Yuvaraj E. and Dharanirajan K., Status of Mangroves in Flat Bay coast after eight years ahead the catastrophic events in Andaman Islands, IOSR Journal of Envi. Sci. Toxicology and Food Technology,2(6), 47-54 (2013)
  22. Aschbacher J., Ofren R., Delsol J.P., Suselo T.B. and Vibulsresth S., An integrated comparative approach to mangrove vegetation mapping using advanced remote sensing and GIS technologies: preliminary results, Hydrobiologia, 295, 285-294 (1995)
  23. Simard M., Zhang K., Rivera-monroy V.H., Ross M.S., Ruiz P.L., Castañeda-moya E. et al., Mapping Height and Biomass of Mangrove Forests in Everglades National Park with SRTM Elevation Data, Photogrammetric Engineering & Remote Sensing, 72(3), 299-311 (2006)
  24. Rouse J.W., Haas R.H., Schell J.A. and Deering D.W., Monitoring vegetation systems in the Great Plains with ERTS. In3rd ERTS Symposium, NASA SP-351 I, 309–317 (1973)
  25. Satyanarayana B., Mohamad K.A., Idris I.F. and Husain M.-lokman et al., Assessment of mangrove vegetation based on remote sensing and ground-truth measurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia, International Journal of Remote Sensing, 32(6),1635-1650 (2011)
  26. Mohan P. Tiruveedhula., Joseph Fan., Ravi R. Sadasivuni., Surya S. Durbha., and David L. Evans. Biomass and Health Based Forest Cover Delineation Using Spectral Un-Mixing. ASPRS 2009 Annual Conference Baltimore, Maryland March 9-13, (2009)
  27. Jensen J.R., Lin H., Yang X., Ramsey III, E.W. Davis B.A. and Thoemke, C.W. The measurement of mangrove characteristics in southwest Florida using SPOT multispectral data, Geocarto Int.,6, 13-21 (1991)
  28. SAC (Space Application Center), Coastal Zones of India (Sponsored by Ministry of Environment and Forests, Govt. of India) Space Applications Centre, ISRO, Ahmedabad (2012)