Research Article
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Year 2022, , 101 - 111, 10.07.2022
https://doi.org/10.26833/ijeg.912657

Abstract

References

  • Baig MHA, Zhang L, Shuai T & Tong Q (2014). Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters Vol 5, Pg 423-43.
  • Braud Jr, DH and Feng W, (1998). Semiautomated Construction of the Louisiana Coastline Digital Land/Water Boundary Using Landsat Thematic Mapper Satellite Imagery, Louisiana Applied Oil Spill Research and Development Program, OSRAPD Technical Report Series, 97-002.
  • Church J & White N (2006). A 20th century acceleration in global sea-level rise. Geophysical Research Letters, 33, L01602, doi:10.1029/2005GL024826
  • Das B & Dhorde A (2021). Geostatistical approach to assess mangrove spatial variability: a bi-decadal scenario over Raigarh coast of Maharashtra. Journal of Coastal Conservation, 25:23, https://doi.org/10.1007/s11852-021-00813-8
  • Dasgupta S, Laplante B, Meisner C, Wheeler D & Yan J (2009). The impact of sea level rise on developing countries: a comparative analysis. Climatic Change, 93, 379–388, DOI 10.1007/s10584-008-9499-5
  • Dwivedi D N & Sharma VK (2005). Analysis of Sea Level Rise and its Impact on Coastal Wetlands of IndiaProceedings of the 14th Biennial Coastal Zone Conference, New Orleans, Louisiana.
  • Gilman E L, Ellison J, Duke N C & Field C (2008). Threats to mangroves from climate change and adaptation options: a review. Aquatic botany, 89(2), 237-250.
  • Esmaila M, Mahmoda W E & Fatha H (2019). Assessment and prediction of shoreline change using multi-temporal satellite images and statistics: Case study of Damietta coast, Egypt. Applied Ocean Research, 82, 274–282
  • Feller I C, Lovelock C E, McKee K L & Thompson R (2005) Variation in Mangrove Forest Structure and Sediment Characteristics in Bocas del Toro Panama. Caribbean Journal of Science. 41(3), 456-464.
  • Huang C, Wylie B, Yang L, Homer C & Zylstra G (2002). Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing, Vol 23, Pg 1741-1748
  • Lambs L, Bompy F, Imbert D, Corenblit D & Dulormne M (2015). Seawater and Freshwater Circulations through Coastal Forested Wetlands on a Caribbean Island. Water. 7, 4108-4128, doi:10.3390/w7084108
  • Mcfeeters S K (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17, 1425-1432
  • McLeod E & Salm R V (2006) Managing Mangroves for Resilience to Climate Change Gland, Switzerland, IUCN
  • Mhatre K, Singh R, Cerejo S & Shinde R (2013). Diversity of Mangroves in Raigad District, Maharashtra and need for their conservation. International Journal of Environmental Sciences, 2(4), 205-209. ISSN 2249-2127.
  • Mimura N (2013). Review Sea-level rise caused by climate change and its implications for society. Proceedings of Japan Academy, doi: 10.2183/pjab.89.281
  • Mohanty P C, Mahendra R S, Nayak R K & Kumar T S (2017). Impact of sea level rise and coastal slope on shoreline change along the Indian coast Natural Hazards, 89:1227–1238. DOI: 10.1007/s11069-017-3018-9
  • Nassar K, Mahmod W E, Fath H, Masria A, Nadaoka K & Negm N (2018). Shoreline change detection using DSAS technique: Case of North Sinai coast, Egypt. Marine Georesources & Geotechnology, DOI: 10.1080/1064119X.2018.1448912
  • Nitto D D, Neukermans G, Koedam N, Defever H, Pattyn F, Kairo J G & Dahdouh-Guebas F (2014) Mangroves facing climate change: landward migration potential in response to projected scenarios of sea level rise. Biogeosciences, 11, 857–871. doi:10.5194/bg-11-857-2014
  • Prerna R, Naidu V S, Sukumaran S & Gajbhiye S N (2015). “Observed decadal changes in extent of mangroves and coral reefs in southern Gulf of Kachchh using principal component analysis and geo-spatial techniques: a case study ”. J Coast Conservation, 19, 257–267. DOI 10.1007/s11852-015-0385-9
  • Vidya, Biradar R S, Inamdar A B, Srivastava S & Pikle M (2015). Assessment of shoreline changes of Alibag coast (Maharashtra, India) using remote sensing and GIS. Journal of Marine Biology, 57 (2)
  • Wilson E H & Sader S A (2002). Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment. 80, 385 – 396.
  • Woodroffe C D (1990). The impact of sea-level rise on mangrove shorelines. Progress in Physical Geography, 14, 483–520, 1990.

Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India

Year 2022, , 101 - 111, 10.07.2022
https://doi.org/10.26833/ijeg.912657

Abstract

Vulnerability of SLR varies from place to place with 20th century observing greatest threat to it. Mangroves along the shore are the one to first sustain this impact of SLR. In the present study, an attempt has been made to understand the relation between shoreline changes with mangrove habitat through remote sensing data and geospatial technique. Shoreline change rate has been calculated for the years 2000, 2012 and 2019, in Digital Shoreline Analysis System by End Point Rate. Change analysis indicates that in last 20 years erosion dominated the study area with an average rate of -0.02m/yr. During 2000 to 2012, relatively higher erosional rates (-0.35m/yr) were observed. While from 2012 to 2019 accretion process dominated this area with a rate of 0.43m/yr. Sonakothakar, Mothe Bhal and Dadar with denudation, have observed landward progradation of mangroves whereas, at Aware, a zone of accretion exhibited a seaward progradation of mangroves. A direct relation with the shoreline change has been observed with mangrove habitat. Mangroves are consider as salt feeder and so spatial changes in their colony is ought to be frequent in the present context of climate change and SLR. This type of integrated study will help to understand active process over the shore and help to conserve mangrove habitat. Such regional scale studies should be carried out before implementing any coastal conservation projects.  

References

  • Baig MHA, Zhang L, Shuai T & Tong Q (2014). Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters Vol 5, Pg 423-43.
  • Braud Jr, DH and Feng W, (1998). Semiautomated Construction of the Louisiana Coastline Digital Land/Water Boundary Using Landsat Thematic Mapper Satellite Imagery, Louisiana Applied Oil Spill Research and Development Program, OSRAPD Technical Report Series, 97-002.
  • Church J & White N (2006). A 20th century acceleration in global sea-level rise. Geophysical Research Letters, 33, L01602, doi:10.1029/2005GL024826
  • Das B & Dhorde A (2021). Geostatistical approach to assess mangrove spatial variability: a bi-decadal scenario over Raigarh coast of Maharashtra. Journal of Coastal Conservation, 25:23, https://doi.org/10.1007/s11852-021-00813-8
  • Dasgupta S, Laplante B, Meisner C, Wheeler D & Yan J (2009). The impact of sea level rise on developing countries: a comparative analysis. Climatic Change, 93, 379–388, DOI 10.1007/s10584-008-9499-5
  • Dwivedi D N & Sharma VK (2005). Analysis of Sea Level Rise and its Impact on Coastal Wetlands of IndiaProceedings of the 14th Biennial Coastal Zone Conference, New Orleans, Louisiana.
  • Gilman E L, Ellison J, Duke N C & Field C (2008). Threats to mangroves from climate change and adaptation options: a review. Aquatic botany, 89(2), 237-250.
  • Esmaila M, Mahmoda W E & Fatha H (2019). Assessment and prediction of shoreline change using multi-temporal satellite images and statistics: Case study of Damietta coast, Egypt. Applied Ocean Research, 82, 274–282
  • Feller I C, Lovelock C E, McKee K L & Thompson R (2005) Variation in Mangrove Forest Structure and Sediment Characteristics in Bocas del Toro Panama. Caribbean Journal of Science. 41(3), 456-464.
  • Huang C, Wylie B, Yang L, Homer C & Zylstra G (2002). Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing, Vol 23, Pg 1741-1748
  • Lambs L, Bompy F, Imbert D, Corenblit D & Dulormne M (2015). Seawater and Freshwater Circulations through Coastal Forested Wetlands on a Caribbean Island. Water. 7, 4108-4128, doi:10.3390/w7084108
  • Mcfeeters S K (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17, 1425-1432
  • McLeod E & Salm R V (2006) Managing Mangroves for Resilience to Climate Change Gland, Switzerland, IUCN
  • Mhatre K, Singh R, Cerejo S & Shinde R (2013). Diversity of Mangroves in Raigad District, Maharashtra and need for their conservation. International Journal of Environmental Sciences, 2(4), 205-209. ISSN 2249-2127.
  • Mimura N (2013). Review Sea-level rise caused by climate change and its implications for society. Proceedings of Japan Academy, doi: 10.2183/pjab.89.281
  • Mohanty P C, Mahendra R S, Nayak R K & Kumar T S (2017). Impact of sea level rise and coastal slope on shoreline change along the Indian coast Natural Hazards, 89:1227–1238. DOI: 10.1007/s11069-017-3018-9
  • Nassar K, Mahmod W E, Fath H, Masria A, Nadaoka K & Negm N (2018). Shoreline change detection using DSAS technique: Case of North Sinai coast, Egypt. Marine Georesources & Geotechnology, DOI: 10.1080/1064119X.2018.1448912
  • Nitto D D, Neukermans G, Koedam N, Defever H, Pattyn F, Kairo J G & Dahdouh-Guebas F (2014) Mangroves facing climate change: landward migration potential in response to projected scenarios of sea level rise. Biogeosciences, 11, 857–871. doi:10.5194/bg-11-857-2014
  • Prerna R, Naidu V S, Sukumaran S & Gajbhiye S N (2015). “Observed decadal changes in extent of mangroves and coral reefs in southern Gulf of Kachchh using principal component analysis and geo-spatial techniques: a case study ”. J Coast Conservation, 19, 257–267. DOI 10.1007/s11852-015-0385-9
  • Vidya, Biradar R S, Inamdar A B, Srivastava S & Pikle M (2015). Assessment of shoreline changes of Alibag coast (Maharashtra, India) using remote sensing and GIS. Journal of Marine Biology, 57 (2)
  • Wilson E H & Sader S A (2002). Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment. 80, 385 – 396.
  • Woodroffe C D (1990). The impact of sea-level rise on mangrove shorelines. Progress in Physical Geography, 14, 483–520, 1990.
There are 22 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Barnali Das 0000-0002-6103-4656

Anargha Dhorde 0000-0002-5678-7397

Publication Date July 10, 2022
Published in Issue Year 2022

Cite

APA Das, B., & Dhorde, A. (2022). Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India. International Journal of Engineering and Geosciences, 7(2), 101-111. https://doi.org/10.26833/ijeg.912657
AMA Das B, Dhorde A. Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India. IJEG. July 2022;7(2):101-111. doi:10.26833/ijeg.912657
Chicago Das, Barnali, and Anargha Dhorde. “Assessment of Shoreline Change and Its Relation With Mangrove Vegetation: A Case Study over North Konkan Region of Raigad, Maharashtra, India”. International Journal of Engineering and Geosciences 7, no. 2 (July 2022): 101-11. https://doi.org/10.26833/ijeg.912657.
EndNote Das B, Dhorde A (July 1, 2022) Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India. International Journal of Engineering and Geosciences 7 2 101–111.
IEEE B. Das and A. Dhorde, “Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India”, IJEG, vol. 7, no. 2, pp. 101–111, 2022, doi: 10.26833/ijeg.912657.
ISNAD Das, Barnali - Dhorde, Anargha. “Assessment of Shoreline Change and Its Relation With Mangrove Vegetation: A Case Study over North Konkan Region of Raigad, Maharashtra, India”. International Journal of Engineering and Geosciences 7/2 (July 2022), 101-111. https://doi.org/10.26833/ijeg.912657.
JAMA Das B, Dhorde A. Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India. IJEG. 2022;7:101–111.
MLA Das, Barnali and Anargha Dhorde. “Assessment of Shoreline Change and Its Relation With Mangrove Vegetation: A Case Study over North Konkan Region of Raigad, Maharashtra, India”. International Journal of Engineering and Geosciences, vol. 7, no. 2, 2022, pp. 101-1, doi:10.26833/ijeg.912657.
Vancouver Das B, Dhorde A. Assessment of shoreline change and its relation with Mangrove vegetation: A case study over North Konkan region of Raigad, Maharashtra, India. IJEG. 2022;7(2):101-1.