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Hegde, A.V., Akshaya, B.J., 2015. Shoreline Transformation Study of Karnataka Coast: Geospatial
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la vulnérabilité côtière. Nat. Sci. Soc. 21, 385–399. https://doi.org/10.1051/nss/2014002
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Analysis System (DSAS) version 5.0 user guide (USGS Numbered Series No. 2018–1179),
Digital Shoreline Analysis System (DSAS) version 5.0 user guide, Open-File Report. U.S.
Geological Survey, Reston, VA. https://doi.org/10.3133/ofr20181179
HUANG, C., DAVIS, L., Townshend, J., 2002. An assessment of support vector machines for land
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International
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of
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Sensing
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https://doi.org/10.1080/01431160110040323
IPCC, 2021. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I
to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
[Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y.
Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K.
Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University
Press. In Press.
IPCC-CZMS, 1992. A common methodology for assessing vulnerability to sea level rise, 2nd
revision, in IPCC CZMS, Global Climate Change and the Rising Challenge of the Sea,
Report of the Coastal Zone Management Subgroup, Response Strategies Working Group
of the Intergovernmental Panel on Climate Change,. Ministry of Transport, Public Works
and Water Management, The Hague, Appendix C.
Jeyabal, G., Ramasamy, R., 2014. Down core variation in sediment characteristics and trace
element geochemistry of a core sample in Pichavaram Mangrove area, Tamil Nadu,
Southeast Coast of India. Enviro Geo Chimica Acta 1.
Goumrasa, A., Zerrouki, C., Hemdane, Y., Bouhmadouche, M., Guendouz, M., Guettouche, M.S.,
2021. GIS to identify exposed shoreline sectors to wave impacts: case of El Tarf coast. Appl
Geomat. https://doi.org/10.1007/s12518-021-00380-5
Guan, H., Li, J., Chapman, M., Deng, F., Ji, Z., Yang, X., 2013. Integration of orthoimagery and
lidar data for object-based urban thematic mapping using random forests. International
Journal of Remote Sensing 34, 5166–5186. https://doi.org/10.1080/01431161.2013.788261
Guillén, J., Stive, M.J.F., Capobianco, M., 1999. Shoreline evolution of the Holland coast on a
decadal scale. Earth Surface Processes and Landforms 24, 517–536.
https://doi.org/10.1002/(SICI)1096-9837(199906)24:6<517::AID-ESP974>3.0.CO;2-A
Hannv, Z., Qigang, J., Jiang, X., 2013. Coastline Extraction Using Support Vector Machine from
Remote Sensing Image. Journal of Multimedia 8. https://doi.org/10.4304/jmm.8.2.175-182
Hegde, A.V., Akshaya, B.J., 2015. Shoreline Transformation Study of Karnataka Coast: Geospatial
Approach. Aquatic Procedia, INTERNATIONAL CONFERENCE ON WATER
RESOURCES, COASTAL AND OCEAN ENGINEERING (ICWRCOE’15) 4, 151–156.
https://doi.org/10.1016/j.aqpro.2015.02.021
Hellequin, A.-P., Flanquart, H., Meur-Ferec, C., Rulleau, B., 2013. Perceptions du risque de
submersion marine par la population du littoral languedocien : contribution à l’analyse de
la vulnérabilité côtière. Nat. Sci. Soc. 21, 385–399. https://doi.org/10.1051/nss/2014002
Himmelstoss, E.A., Henderson, R.E., Kratzmann, M.G., Farris, A.S., 2018. Digital Shoreline
Analysis System (DSAS) version 5.0 user guide (USGS Numbered Series No. 2018–1179),
Digital Shoreline Analysis System (DSAS) version 5.0 user guide, Open-File Report. U.S.
Geological Survey, Reston, VA. https://doi.org/10.3133/ofr20181179
HUANG, C., DAVIS, L., Townshend, J., 2002. An assessment of support vector machines for land
cover
classié
cation.
International
Journal
of
Remote
Sensing
23.
https://doi.org/10.1080/01431160110040323
IPCC, 2021. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I
to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
[Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y.
Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K.
Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University
Press. In Press.
IPCC-CZMS, 1992. A common methodology for assessing vulnerability to sea level rise, 2nd
revision, in IPCC CZMS, Global Climate Change and the Rising Challenge of the Sea,
Report of the Coastal Zone Management Subgroup, Response Strategies Working Group
of the Intergovernmental Panel on Climate Change,. Ministry of Transport, Public Works
and Water Management, The Hague, Appendix C.
Jeyabal, G., Ramasamy, R., 2014. Down core variation in sediment characteristics and trace
element geochemistry of a core sample in Pichavaram Mangrove area, Tamil Nadu,
Southeast Coast of India. Enviro Geo Chimica Acta 1.