Analyzing shoreline dynamicity and the associated socioecological risk along the Southern Odisha Coast of India using remote sensing-based and statistical approaches

dc.contributor.authorMishra, Manoranjan
dc.contributor.authorAcharyya, Tamoghna
dc.contributor.authorChand, Pritam
dc.contributor.authorSantos, Celso Augusto Guimar�es
dc.contributor.authorKar, Dipika
dc.contributor.authorDas, Prabhu Prasad
dc.contributor.authorPattnaik, Namita
dc.contributor.authorSilva, Richarde Marques da
dc.contributor.authorNascimento, Thiago Victor Medeiros do
dc.date.accessioned2024-01-21T10:51:47Z
dc.date.accessioned2024-08-14T06:47:32Z
dc.date.available2024-01-21T10:51:47Z
dc.date.available2024-08-14T06:47:32Z
dc.date.issued2021-02-06T00:00:00
dc.description.abstractThe coastal zone is an extremely volatile environment and is constantly changing. We assessed short- and long-term shoreline changes in the Ganjam district of Odisha on the eastern coast of India from 1990 to 2019 using Landsat satellite imagery and the Digital Shoreline Analysis System (DSAS) tool in a geographic information system. In addition, we have also projected the likely future coastline position for the 2030�2040 period and the possible impact on the socioecology of the shoreline. In this study, we used the endpoint rate (EPR) analysis, weighted linear regression (WLR) analysis, and trigonometric functions to analyze the shoreline from 1990 to 2019 and also forecasted for year 2030 and 2040. The shoreline of the Ganjam coastal zone is one of the most biologically productive ecosystems in the world, and it is well-known due to the breeding and mass nesting grounds of olive ridley turtles and the economically connected ports, famous beaches, and cyclone-prone areas. During the study period (1990�2019), the average erosion and accretion rates in the Ganjam shoreline were ?2.58 m/year and 11.63 m/year, respectively. The rate of shoreline erosion increased during years of cyclone landfall, which was revealed during the short-term shoreline analysis of the periods from 1995 to 2000 (1999 super cyclone) and 2015 to 2019 (2019 category�IV cyclone Fani). The short- to long-term analyses of the shoreline assisted in identifying erosion (Ramyapatna, Podampetta) and accretion (southern part of Gopalpur port, spits along the Bahuda and Rushikulya Rivers) hotspots within the Ganjam coastal zone. The identified erosion hotspots could submerge a significant number of coastal villages that serve as breeding and mass nesting grounds for olive ridley turtles. The dominant erosion along the Ganjam coastline are likely to enhance socioecological risk and further threaten coastal communities in the future. The output of the undertaken research will benefit coastal planners, policymakers, and conservationists by helping them to formulate the most suitable action plan for coastal zone management with consideration of all stakeholders. � 2021 Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.identifier.doi10.1080/10106049.2021.1882005
dc.identifier.issn10106049
dc.identifier.urihttps://kr.cup.edu.in/handle/32116/4069
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/10106049.2021.1882005
dc.language.isoen_USen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.subjectDigital Shoreline Analysis System (DSAS)en_US
dc.subjectendpoint rate (EPR)en_US
dc.subjectremote sensingen_US
dc.subjectShoreline dynamicityen_US
dc.subjectweighted linear regression (WLR)en_US
dc.titleAnalyzing shoreline dynamicity and the associated socioecological risk along the Southern Odisha Coast of India using remote sensing-based and statistical approachesen_US
dc.title.journalGeocarto Internationalen_US
dc.typeArticleen_US
dc.type.accesstypeClosed Accessen_US

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