Abstract
The tropical cyclones are very destructive during landfall, generating high wind speeds, heavy intensive rainfall, and severe storm surges with huge coastal inundations that have massive socioeconomic and ecological catastrophic effects on human beings and the economic well-being. The sizable ecological effects of cyclonic storms cannot be ignored because of the uncertainty of impact, intensity induced by a warming ocean, and sea level rise. The Super Cyclonic Storm Amphan which falls under the category five classifications under the scheme of the India Meteorological Department (IMD), on the basis the maximum sustained wind speeds gusting up to 168 km/h affected parts of West Bengal and Odisha in India, and south-west Bangladesh between May 16 and 20, 2020. In this work, we have focused on the coastal districts of Kendrapada, Bhadrak, Balasore in Odisha, Purba Medinipur, and South Twenty-Four Parganas in West Bengal, India and, Khulna, Barisal division of Bangladesh that have been seriously affected by the Super Cyclonic Storm Amphan. The objective of the study is to analyze the eco-physical assessment of tropical cyclone Amphan using geospatial technology. Therefore, shoreline change detection and enhance vegetation index have been used in this research work to systematically analyze the eco-physical impact parameters of Cyclonic Storm Amphan using ortho-rectified Landsat 8/OLI imagery and MODIS dataset of USGS with high spatial resolutions of 30–500 m. The result highlights that about 60.33% of the total transects of the study area was eroded, but only 24.99% of the total transects experienced accretion, and 14.68% of the total transects depicted stability. The scientific study will benefit coastal managers and policymakers in formulating action plans for coastal zone management, natural resilience, and sustainable future development.
References
Abdullah AYM, Masrur A, Gani Adnan MS et al (2019) Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017. Remote Sens. https://doi.org/10.3390/rs11070790
Acharyya T, Mishra M, Kar D (2020) Rapid impact assessment of extremely severe cyclonic storm Fani on morpho-dynamics & ecology of Chilika Lake, Odisha, India. J Coast Conserv. https://doi.org/10.1007/s11852-020-00754-8
Awty-Carroll K, Bunting P, Hardy A, Bell G (2019) Using continuous change detection and classification of landsat data to investigate long-term mangrove dynamics in the Sundarbans region. Remote Sens 11:1–21. https://doi.org/10.3390/rs11232833
Bandyopadhyay S, Dasgupta S, Khan ZH, Wheeler D (2018) Cyclonic storm landfalls in Bangladesh, West Bengal and Odisha, 1877–2016: a Spatiotemporal analysis policy research working paper # 8316, World Bank Group, p. 25
Boak EH, Turner IL (2005) Shoreline definition and detection: a review. J Coast Res 214:688–703. https://doi.org/10.2112/03-0071.1
Chakraborty S (2015) Investigating the impact of severe cyclone aila and the role of disaster management department - a study of kultali block of Sundarban. Am J Theor Appl Bus 1:6–13. https://doi.org/10.11648/j.ajtab.20150101.12
Das CS, Jana R (2018) Human-crocodile conflict in the Indian Sundarban: an analysis of spatio-temporal incidences in relation to people’s livelihood. Oryx 52:661–668. https://doi.org/10.1017/S0030605316001502
Dhara S, Paul KA (2016) Embankment breaching and its impact on local community in Indian Sundarban: a case study of some blocks of South West Sundarban. IJISET 3(2):23–32
Done TJ (1992) Effects of tropical cyclone waves on ecological and geomorphological structures on the Great Barrier Reef. Cont Shelf Res 12:859–872. https://doi.org/10.1016/0278-4343(92)90048-O
Gao X, Huete AR, Ni W, Miura T (2000) Optical–biophysical relationships of vegetation spectra without background contamination. Remote Sens Environ 74(3):609–620. https://doi.org/10.1016/s0034-4257(00)00150-4
Ghosh P (2015) Conservation and conflicts in the Sundarban biosphere reserve, India. Geogr Rev 105:429–440. https://doi.org/10.1111/j.1931-0846.2015.12101.x
Hoque MAA, Phinn S, Roelfsema C, Childs I (2016) Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh. Int J Remote Sens 37:5320–5343. https://doi.org/10.1080/01431161.2016.1239286
Hoque MAA, Phinn S, Roelfsema C, Childs I (2017) Tropical cyclone disaster management using remote sensing and spatial analysis: a review. Int J Disaster Risk Reduct 22:345–354
Hossain MAR, Ahmed M, Ojea E, Fernandes JA (2018) Impacts and responses to environmental change in coastal livelihoods of south-west Bangladesh. Sci Total Environ 637–638:954–970. https://doi.org/10.1016/j.scitotenv.2018.04.328
Huete AR, Didan K, Shimabukuro YE et al (2006) Amazon rainforests green-up with sunlight in dry season. Geophys Res Lett. https://doi.org/10.1029/2005GL025583
Ishtiaque A, Myint SW, Wang C (2016) Examining the ecosystem health and sustainability of the world’s largest mangrove forest using multi-temporal MODIS products. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2016.06.200
Justice CO, Vermote E, Townshend JRG, Defries R, Roy DP, Hall DK, Salomonson VV, Privette JL, Riggs G, Strahler A, Lucht W, Myneni RB, Knyazikhin Y, Running SW, Nemani RR, ZhengmingWan Huete AR, van Leeuwen W, Wolfe RE, Giglio L, Muller J, Lewos P, Barnsley MJ (1998) The Moderate Resolution ImagingSpectroradiometer (MODIS): land remote sensing for global change research. IEEE Trans Geosci Remote Sens 36(4):1228–1249. https://doi.org/10.1109/36.701075
Kumar R, Rani S (2021) Maharana P (2021) Assessing the impacts of Amphan cyclone over West Bengal, India: a multi-sensor approach. Environ Monit Assess 1935(193):1–21. https://doi.org/10.1007/S10661-021-09071-5
Mishra M, Chand P, Pattnaik N, Kattel DB, Panda GK, Mohanti M, Baruah UD, Chandniha SK, Achary S, Mohanty T (2019) Response of long- to short-term changes of the Puri coastline of Odisha (India) to natural and anthropogenic factors: a remote sensing and statistical assessment. Environ Earth Sci 78(11):1–23. https://doi.org/10.1007/s12665-019-8336-7
Mishra M, Sudarsan D, Kar D, Naik AK, Das PP, Santos CAG, da Silva RM (2020) The development and research trend of using dsas tool for shoreline change analysis: a scientometric analysis. J Urban Environ Eng 14(1):69–77. https://doi.org/10.4090/juee.2020.v14n1.069077
Mishra M, Acharyya T, Santos CAG, da Silva RM, Kar D, Mustafa Kamal AH, Raulo S (2021a) Geo-ecological impact assessment of severe cyclonic storm Amphan on Sundarban mangrove forest using geospatial technology. Estuar Coast Shelf Sci 260:107486. https://doi.org/10.1016/j.ecss.2021.107486
Mishra M, Acharyya T, Chand P, Santos CAG, Kar D, Das PP, Pattnaik N, Silva RM, Nascimento TVM (2021b) Analyzing shoreline dynamicity and the associated socioecological risk along the Southern Odisha Coast of India using remote sensing-based and statistical approaches. Geocarto Int. https://doi.org/10.1080/10106049.2021.1882005
Mishra M, Acharyya T, Kar D (2021c) Vulnerability of nesting ground of Olive ridley turtle to severe cyclonic storm Fani: a case study from Rushikulya rookery East coast of India. J Coast Conserv. https://doi.org/10.1007/s11852-021-00827-2
Mishra M (2016) geomorphic regionalization of coastal zone using geospatial technology. Int J Environ Geoinform 3(2):11–23. https://doi.org/10.30897/ijegeo.304479
Mohanty S, Nadimpalli R, Mohanty UC et al (2020) Quasi-operational forecast guidance of extremely severe cyclonic storm Fani over the Bay of Bengal using high-resolution mesoscale models. Meteorol Atmos Phys. https://doi.org/10.1007/s00703-020-00751-4
Mumby PJ, Vitolo R, Stephenson DB (2011) Temporal clustering of tropical cyclones and its ecosystem impacts. Proc Natl Acad Sci USA 108:17626–17630. https://doi.org/10.1073/pnas.1100436108
Murakami H, Sugi M, Kitoh A (2013) Future changes in tropical cyclone activity in the North Indian Ocean projected by high-resolution MRI-AGCMs. Clim Dyn 40:1949–1968. https://doi.org/10.1007/s00382-012-1407-z
Pajak MJ, Leatherman S (2002) The high water line as shoreline indicator on JSTOR. In: J. Coast. Res. https://www.jstor.org/stable/4299078. Accessed from 11 Sep 2020
Pruitt JN, Little AG, Majumdar SJ et al (2019) Call-to-action: a global consortium for tropical cyclone ecology. Trends Ecol Evol 34:588–590
Sahana M, Sajjad H (2019) Quaternary geomorphology in India. Springer International Publishing, New York
Sakib M, Nihal F, Haque A et al (2015) Sundarban as a buffer against storm surge flooding. World J Eng Technol 03:59–64. https://doi.org/10.4236/wjet.2015.33c009
Shamim Hasan Mandal M, Kamruzzaman M, Hosaka T (2020) Elucidating the phenology of the Sundarbans mangrove forest using 18-year time series of MODIS vegetation indices. Tropics 29:41–55. https://doi.org/10.3759/tropics.ms19-11
Santos CAG, do Nascimento TVM, Mishra M, da Silva RM, (2021) Analysis of long- and short-term shoreline change dynamics: A study case of João Pessoa city in Brazil. Sci Total Environ 769:144889. https://doi.org/10.1016/j.scitotenv.2020.144889
Thakur RR, Kumar P, Palria S (2019) Monitoring changes in vegetation cover of Bhitarkanika marine National Park region, Odisha, India using vegetation indices of multidate satellite data. Indian J Geo-Mar Sci 48:1916–1924
Wardlow BD, Egbert SL, Kastens JH (2007) Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains Remote Sens Environ 108:290–310. https://doi.org/10.1016/j.rse.2006.11.021
Weinkle J, Maue R, Pielke R Jr (2012) Historical global tropical cyclone landfalls*. J Clim 25(13):4729–4735
White DA (2019) The MODIS Conversion Toolkit (MCTK) User’s Guide, Apr. 2019, [online] Available: https://github.com/dawhite/MCTK
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MM contributed to conceptualization, methodology, visualization, writing—reviewing, and editing. DK contributed to supervision, original draft preparation, writing—reviewing, and editing. MD contributed to methodology, visualization, and writing—original draft preparation. NS contributed to writing—reviewing and editing. SG contributed to writing—reviewing and editing.
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Mishra, M., Kar, D., Debnath, M. et al. Rapid eco-physical impact assessment of tropical cyclones using geospatial technology: a case from severe cyclonic storms Amphan. Nat Hazards 110, 2381–2395 (2022). https://doi.org/10.1007/s11069-021-05008-w
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DOI: https://doi.org/10.1007/s11069-021-05008-w