ASSESSMENT OF SHORELINE POSITIONAL UNCERTAINTY USING REMOTE SENSING AND GIS TECHNIQUES: A CASE STUDY FROM THE EAST COAST OF INDIA
DOI:
https://doi.org/10.2298/IJGI2103249TKeywords:
shoreline, DSAS, accretion, erosion, remote sensing and GIS, East Coast of IndiaAbstract
The focus of this research was to assess the shoreline changes by comparing the satellite data from 1980 to 2020. The study area falls in the region between Kodiakarai and Nagapattinam of the east coast of India, which has frequently been distressed by storm surges and cyclones in the Bay of Bengal. The Digital Shoreline Analysis System (DSAS) detects and measures the erosional and accretional shoreline positions through the statistics of the Shoreline Change Envelope, Net Shoreline Movement, End Point Rate, Linear Regression Rate, and Weighted Linear Regression. The results show that the shoreline from Kodiakkarai to Nagapattinam suffered severe erosion of 17.7% in total with an average annual erosion rate of 3.4 m/year from 1980 to 2020 and the rate of erosion ranged between 0.1 m/year to 19.8 m/year. About 90.5% of the total shoreline was faced high erosion during the period between 2000 and 2010. The maximum erosion was about 1061 m from 2000 to 2010, the maximum accretion was found to be 1002 m in transects at Kodiakkarai during 2010 to 2020. After the effect of 2004 tsunami, the corresponding changes in littoral currents caused the drastic erosion and accretion in this shoreline. The DSAS prediction model shows that 19.3% of the current shoreline will erode in 2030. The maximum predicted erosion is 406 m at Kodiakkarai and the maximum predicted accretion is 148 m at Nagapattinam region. The coastal zone from Kodiakkarai to Nagapattinam needs special attention to prevent the erosion and it is recommended to build suitable coastal protection structures along the coast for sustainable development and to execute the coastal zone management for this region.
Article metrics
References
Appeaning Addo, K., Jayson-Quashigah, P. N., & Kufogbe, K. S. (2011). Quantitative Analysis of Shoreline Change Using Medium Resolution Satellite Imagery in Keta, Ghana. Marine Science, 1(1), 1–9. https://doi.org/10.5923/j.ms.20110101.01
Baker, R. G., & McGowan, S. A. (2013). Geographic Information System Planning for Future Sea-Level Rise Using Evidence and Response Mechanisms from the Past: A Case Study from the Lower Hunter Valley, New South Wales. Journal of Coastal Research, 29(1), 118–132. Retrieved from https://doi.org/10.2112/JCOASTRES-D-11-00204.1
Crowell, M., Leatherman, S. P., & Buckley, M. K. (1991). Historical Shoreline Change: Error Analysis and Mapping Accuracy. Journal of Coastal Research, 7(3), 839–852. https://www.jstor.org/stable/4297899
DestiMap. (n.d.). Kodikkarai Wildlife Sanctuary (Point Calimere). Retrieved November 23, 2021, from https://www.destimap.com/index.php?act=attraction&a=Kodikkarai-Wildlife-Sanctuary-%28Point-Calimere%29%2C-Nagapattinam%2C-India
Dolan, R., Fenster, M. S., & Holme, S. J. (1991). Temporal Analysis of Shoreline Recession and Accretion. Journal of Coastal Research, 7(3), 723–744. Retrieved from https://www.jstor.org/stable/4297888
Genz, A. S., Fletcher, C. H., Dunn, R. A., Frazer, L. N., & Rooney, J. J. (2007). The Predictive Accuracy of Shoreline Change Rate Methods and Alongshore Beach Variation on Maui, Hawaii. Journal of Coastal Research, 23(1), 87–105. https://doi.org/10.2112/05-0521.1
Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G, & Farris, A. S. (2018). Digital Shoreline Analysis System (DSAS) version 5.0 user guide: U.S. Geological Survey Open-File Report 2018–1179. Retrieved from https://doi.org/10.3133/ofr20181179
Huntingford, G. W. B. (Ed. & Trans.) (1980). The Periplus of the Erythraean Sea. London, UK: Hakluyt Society.
Intergovernmental Oceanographic Commission, International Hydrographic Organization, & British Oceanographic Data Centre. (2003). Centenary Edition of the GEBCO Digital Atlas [Data set]. Retrieved from https://www.gebco.net/
Jayakumar, K., & Malarvannan, S. (2016). Assessment of shoreline changes over the Northern Tamil Nadu Coast, South India using WebGIS techniques. Journal of Coastal Conservation, 20(6), 477–487. Retrieved from https://www.jstor.org/stable/45046491
Jayaprakash, M., Sivakumar, K., Muthusamy, S., Krishnamurthy, R. R., & Patterson, E. J. K. (2016). Shrinking of Vann Island, Gulf of Mannar, SE coast of India: Assessing the impacts. Natural Hazards, 84(3), 1529–1538. https://doi.org/10.1007/s11069-016-2496-5
Joesidawati, M. I., & Suntoyo (2016). Shoreline Change in Tuban district, East Java using Geospatial and Digital Shoreline Analysis System (DSAS) Techniques. International Journal of Oceans and Oceanography, 10(2), 235–246. Retrieved from https://www.ripublication.com/ijoo16/ijoov10n2_13.pdf
Kannan, R., Ramanamurthy, M. V., & Kanungo, A. (2016). Shoreline Change Monitoring in Nellore Coast at East Coast Andhra Pradesh District Using Remote Sensing and GIS. Journal of Fisheries & Livestock Production, 4(1), 1000161. https://doi.org/10.4172/2332-2608.1000161
Kongeswaran, T., & Karikalan, R. (2015). Studies on Remote sensing and Geographical Information System Applications on Coastal Geomorphological Landforms from Portonova to Coleroon River Mouth, South Arcot, Tamilnadu, East coast of India. International Journal of Geomatics and Geosciences, 5, 544–554. Retrieved from https://www.researchgate.net/publication/330010341
Kongeswaran, T., & Karikalan, R. (2016a). Land use and land cover changes in the Gulf of Mannar using GIS Techniques. Journal of Ocean Sciences, 1, 8–15. Retrieved from https://alagappauniversity.ac.in/modules/Academics/uploads/files/OCAS_Journal_Vol1.pdf
Kongeswaran, T., & Karikalan, R. (2016b). Mapping of shoreline changes in between Devipattinam and Kilakkarai, Tamilnadu, Southeast Coast of India. Journal of Ocean Sciences, 2, 12–19. Retrieved from https://alagappauniversity.ac.in/modules/Academics/uploads/files/OCAS_Journal_Vol2.pdf
Kongeswaran, T., & Karikalan, R. (2021). A study on the evolution of coastal geomorphology between Rameshwaram and Kilakkarai, east coast of India. Indian Journal of Geo Marine Sciences, 50(1), 67–70. Retrieved from http://nopr.niscair.res.in/handle/123456789/56092
Krishnakumar, K., Lakshumanan, C., Viveganandan, S., Jonathan, M. P., & Muthukumar, S. (2011). Change detection studies in coastal Zone features of Nagapattinam, Tamilnadu by Remote Sensing and Geographical Information System. International Journal of Environmental Science, 2(1), 201–209. Retrieved from https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.214.6436&rep=rep1&type=pdf
Kumaravel, S., Ramkumar, T., Gurunanam, B., & Suresh, M. (2012). Quantitative estimation of shoreline changes using remote sensing and GIS: A case study in the parts of Cuddalore district, East coast of Tamil Nadu, India. International Journal of Environmental Sciences, 2(4), 2482–2490. Retrieved from https://www.indianjournals.com/ijor.aspx?target=ijor:ijes&volume=2&issue=4&article=062
Leatherman, S. P. (1983). Shoreline mapping: A comparison of techniques. Shore and Beach, 51(3), 28–33.
Mageswaran, T., Ram Mohan, T., Chenthamil Selvan, S., Arumugam, T., Usha, T., & Kankara, R. S. (2015). Assessment of shoreline changes along Nagapattinam coast using geospatial techniques. International Journal of Geomatics and Geosciences, 5(4), 555–563. Retrieved from https://www.indianjournals.com/ijor.aspx?target=ijor:ijggs&volume=5&issue=4&article=006
Moore, L. J. (2000). Shoreline Mapping Techniques. Journal of Coastal Research, 16(1), 111–124. Retrieved from http://www.jstor.org/stable/4300016
Mukhopadhyay, A., Mukherjee, S., Mukherjee, S., Ghosh, S., Hazra, S., & Mitra, D. (2012). Automatic shoreline detection and future prediction: A case study on Puri Coast, Bay of Bengal, India. European Journal of Remote Sensing, 45(1), 201–213. https://doi.org/10.5721/EuJRS20124519
Muthusamy, S., Sivakumar, K., Durai, A. S., Sheriff, M. R., & Subramanian, P. S. (2018). Ockhi Cyclone and its Impact in the Kanyakumari District of Southern Tamilnadu, India: An Aftermath Analysis. International Journal of Recent Research Aspects, 466–469. Retrieved from https://www.ijrra.net/April2018/ConsComp2018_110.pdf
Natesan, U., Parthasarathy, A., Vishnunath, R., Kumar, G. E. J., & Ferrer, V. A. (2015). Monitoring Longterm Shoreline Changes Along Tamil Nadu, India Using Geospatial Techniques. Aquatic Procedia, 4, 325–332. https://doi.org/10.1016/j.aqpro.2015.02.044
Natesan, U., Thulasiraman, N., Deepthi, K., & Kathiravan, K. (2013). Shoreline change analysis of Vedaranyam coast, Tamil Nadu, India. Environmental Monitoring and Assessment, 185(6), 5099–5109. https://doi.org/10.1007/s10661-012-2928-y
Neumann, B., Vafeidis, A. T., Zimmermann, J., & Nicholls, R. J. (2015). Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment. PLoS ONE, 10(3), e0118571. https://doi.org/10.1371/journal.pone.0118571
Oyedotun, T. D. T. (2014). Shoreline geometry: DSAS as a tool for historical trend analysis. In L. Clarke, & J. M. Nield (Eds.), Geomorphological Techniques (Online Edition). Retrieved from http://www.geomorphology.org.uk/sites/default/files/geom_tech_chapters/3.2.2_ShorelineGeometry.pdf
Prabakaran, K., & Anbarasu, K. (2010). Coastal Geomorphology and Evolution of Rameswaram Island, Tamil Nadu, India. Research Journal of Earth Sciences, 2(2), 30–35. Retrieved from https://idosi.org/rjes/rjes2(2)10/2.pdf
Prabaharan, S., Raju, K. S., Lakshumanan, C., & Ramalingam, M. (2010). Remote Sensing and GIS Applications on Change Detection Study in Coastal Zone Using Multi Temporal Satellite Data. International Journal of Geomatics and Geosciences, 1(2), 159–166. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.295.9491&rep=rep1&type=pdf
Puustinen, J., Pouta, E., Neuvonen, M., & Sievänen, T. (2009). Visits to national parks and the provision of natural and man-made recreation and tourism resources. Journal of Ecotourism, 8(1), 18–31. https://doi.org/10.1080/14724040802283210
Rahayuningsih, T., Muntasib, E. K. S. H., & Prasetyo, L. B. (2016). Nature Based Tourism Resources Assessment Using Geographic Information System (GIS): Case Study in Bogor. Procedia Environmental Sciences, 33, 365–375. https://doi.org/10.1016/j.proenv.2016.03.087
Salauddin, M., Hossain, K. T., Tanim, I. A., Kabir, M. A., & Saddam, M. H. (2018). Modeling Spatio-Temporal Shoreline Shifting of a Coastal Island in Bangladesh Using Geospatial Techniques and DSAS Extension. Annals of Valahia University of Targoviste. Geographical Series, 18(1), 1–13. https://doi.org/10.2478/avutgs-2018-0001
Salghuna, N. N., & Aravind Bharathvaj, S. (2015). Shoreline Change Analysis for Northern Part of the Coromandel Coast. Aquatic Procedia, 4, 317–324. https://doi.org/10.1016/j.aqpro.2015.02.043
Shanmugam, D., Krishnamurthy, R. R., Sivakumar, K., & Nethaji, S. (2014). An Integrated Study on the Impact of Anthropogenic Influenced Coastal Erosion in Puducherry and Villupuram Coasts, Bay of Bengal, South India. EnviroGeoChemica Acta, 1(8), 437–445. Retrieved from https://www.researchgate.net/publication/271211526
Sheeja, P. S., & Ajay Gokul, A. J. (2016). Application of Digital Shoreline Analysis System in Coastal Erosion Assessment. International Journal of Engineering Science and Computing, 6(6), 7876–7883. https://doi.org/10.4010/2016.1848
Sivakumar, K., Muthusamy, S., Jayaprakash, M., Mohana, P., & Sudharson, E. R. (2017). Application of post Classification in Landuse and Landcover Stratagies at north Chennai Industrial Area. Journal of Advanced Research in Geo Sciences & Remote Sensing, 4(3–4), 1–13. Retrieved from https://journals.indexcopernicus.com/api/file/viewByFileId/220202.pdf
Sobral, P., Ferreira, J. C., & Pinto, F. T. (2012). GIS and web-based information as innovative tools for coastal zone management. Journal of Coastal Conservation, 16(4), 429. https://doi.org/10.1007/s11852-012-0185-4
Thangaraj, K., & Ramasamy, K. (2019). Assessment of Shoreline Changes between Cuddalore and Nagapattinam Coast, East Coast of Tamilnadu, India using Geospatial Techniques. Disaster Advances, 12(2), 28–36. Retrieved from https://worldresearchersassociations.com/Archives/DA/Vol(12)2019/February2019.aspx
Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., & Ergul, A. (2009). Digital Shoreline Analysis System (DSAS) version 4.0—An ArcGIS extension for calculating shoreline change (ver. 4.4, July 2017): U.S. Geological Survey Open-File Report 2008-1278. Retrieved from https://doi.org/10.3133/ofr20081278
United States Geological Survey, Earth Resources Observation and Science Center. (2016). Landsat Collection 1 U.S. Landsat Analysis Ready Data [Data set]. Retrieved from https://doi.org/10.5066/F7319TSJ
Valjarević, A., Djekić, T., Stevanović, V., Ivanović, R., & Jandziković, B. (2018). GIS numerical and remote sensing analyses of forest changes in the Toplica region for the period of 1953–2013. Applied Geography, 92, 131–139. https://doi.org/10.1016/j.apgeog.2018.01.016
Valjarević, A., Mijajlović, Ž., Živković, D., Novović, M., & Mihajlović, M. (2019). GIS methods and analysis of archaeological layers in the Toplica District (Serbia). Journal of the Geographical Institute “Jovan Cvijić” SASA, 69(2), 175–182. http://dx.doi.org/10.2298/IJGI1902175V
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Journal of the Geographical Institute “Jovan Cvijić” SASA
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
