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Moore, L.J., Ruggiero, P., List, J.H., 2006. Comparing Mean High Water and High Water Line
Shorelines: Should Proxy-Datum Offsets be Incorporated into Shoreline Change Analysis?
Journal of Coastal Research 22, 894–905. https://doi.org/10.2112/04-0401.1
Mujabar, S., Chandrasekar, N., 2011. A Shoreline Change analysis along the Coast between
Kanyakumari and Tuticorin, India using Remote sensing and GIS. Arabian Journal of
Geosciences 6. https://doi.org/10.1007/s12517-011-0394-4
Muslim, A.M., Foody, G.M., Atkinson, P.M., 2006. Localized soft classification for super‐
resolution mapping of the shoreline. International Journal of Remote Sensing 27, 2271–
2285. https://doi.org/10.1080/01431160500396741
Nicholls, R.J., Cazenave, A., 2010. Sea-Level Rise and Its Impact on Coastal Zones. Science 328,
1517–1520. https://doi.org/10.1126/science.1185782
Niculescu, Simona, Billey, A., Jr, H.T.-O.-A., 2018. Random forest classification using Sentinel-1
and Sentinel-2 series for vegetation monitoring in the Pays de Brest (France), in: Remote
Sensing for Agriculture, Ecosystems, and Hydrology XX. Presented at the Remote Sensing
for Agriculture, Ecosystems, and Hydrology XX, International Society for Optics and
Photonics, p. 1078305. https://doi.org/10.1117/12.2325546
Niculescu, S., Ienco, D., Hanganu, J., 2018. APPLICATION OF DEEP LEARNING OF MULTITEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL
VEGETATION ZONE OF THE DANUBE DELTA. https://doi.org/10.5194/ISPRSARCHIVES-XLII-3-1311-2018
Ochieng, G.M., Ojo, O.I., Otieno, F.A., Mwaka, B., 2013. Use of remote sensing and geographical
information system (GIS) for salinity assessment of Vaal-Harts irrigation scheme, South
Africa. Environ Syst Res 2, 4. https://doi.org/10.1186/2193-2697-2-4
O’Dea, A., Brodie, K.L., Hartzell, P., 2019. Continuous Coastal Monitoring with an Automated
Terrestrial Lidar Scanner. Journal of Marine Science and Engineering 7, 37.
https://doi.org/10.3390/jmse7020037
Otmani, H., Belkessa, R., Bengoufa, S., Boukhediche, W., Djerrai, N., Abbad, K., 2020.
Assessment of shoreline dynamics on the Eastern Coast of Algiers (Algeria): a
spatiotemporal analysis using in situ measurements and geospatial tools. Arab J Geosci 13,
124. https://doi.org/10.1007/s12517-020-5069-6
Paskoff, R., 2001. L’élévation du niveau de la mer et les espaces côtiers. Le mythe et la
réalité.Collection « Propos ». Institut Océanographique, Paris.
Paskoff, R., 1984. Rapport III. 7 Erosion et protection des plages : une nouvelle approche. Journées
de l’hydraulique 18, 1–7.
Ponti, M.P., 2013. Segmentation of Low-Cost Remote Sensing Images Combining Vegetation
Indices and Mean Shift. IEEE Geoscience and Remote Sensing Letters 10, 67–70.
https://doi.org/10.1109/LGRS.2012.2193113
Montavon, G., Samek, W., Müller, K.-R., 2018. Methods for interpreting and understanding deep
neural
networks.
Digital
Signal
Processing
73,
1–15.
https://doi.org/10.1016/j.dsp.2017.10.011
Moore, L.J., Ruggiero, P., List, J.H., 2006. Comparing Mean High Water and High Water Line
Shorelines: Should Proxy-Datum Offsets be Incorporated into Shoreline Change Analysis?
Journal of Coastal Research 22, 894–905. https://doi.org/10.2112/04-0401.1
Mujabar, S., Chandrasekar, N., 2011. A Shoreline Change analysis along the Coast between
Kanyakumari and Tuticorin, India using Remote sensing and GIS. Arabian Journal of
Geosciences 6. https://doi.org/10.1007/s12517-011-0394-4
Muslim, A.M., Foody, G.M., Atkinson, P.M., 2006. Localized soft classification for super‐
resolution mapping of the shoreline. International Journal of Remote Sensing 27, 2271–
2285. https://doi.org/10.1080/01431160500396741
Nicholls, R.J., Cazenave, A., 2010. Sea-Level Rise and Its Impact on Coastal Zones. Science 328,
1517–1520. https://doi.org/10.1126/science.1185782
Niculescu, Simona, Billey, A., Jr, H.T.-O.-A., 2018. Random forest classification using Sentinel-1
and Sentinel-2 series for vegetation monitoring in the Pays de Brest (France), in: Remote
Sensing for Agriculture, Ecosystems, and Hydrology XX. Presented at the Remote Sensing
for Agriculture, Ecosystems, and Hydrology XX, International Society for Optics and
Photonics, p. 1078305. https://doi.org/10.1117/12.2325546
Niculescu, S., Ienco, D., Hanganu, J., 2018. APPLICATION OF DEEP LEARNING OF MULTITEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL
VEGETATION ZONE OF THE DANUBE DELTA. https://doi.org/10.5194/ISPRSARCHIVES-XLII-3-1311-2018
Ochieng, G.M., Ojo, O.I., Otieno, F.A., Mwaka, B., 2013. Use of remote sensing and geographical
information system (GIS) for salinity assessment of Vaal-Harts irrigation scheme, South
Africa. Environ Syst Res 2, 4. https://doi.org/10.1186/2193-2697-2-4
O’Dea, A., Brodie, K.L., Hartzell, P., 2019. Continuous Coastal Monitoring with an Automated
Terrestrial Lidar Scanner. Journal of Marine Science and Engineering 7, 37.
https://doi.org/10.3390/jmse7020037
Otmani, H., Belkessa, R., Bengoufa, S., Boukhediche, W., Djerrai, N., Abbad, K., 2020.
Assessment of shoreline dynamics on the Eastern Coast of Algiers (Algeria): a
spatiotemporal analysis using in situ measurements and geospatial tools. Arab J Geosci 13,
124. https://doi.org/10.1007/s12517-020-5069-6
Paskoff, R., 2001. L’élévation du niveau de la mer et les espaces côtiers. Le mythe et la
réalité.Collection « Propos ». Institut Océanographique, Paris.
Paskoff, R., 1984. Rapport III. 7 Erosion et protection des plages : une nouvelle approche. Journées
de l’hydraulique 18, 1–7.
Ponti, M.P., 2013. Segmentation of Low-Cost Remote Sensing Images Combining Vegetation
Indices and Mean Shift. IEEE Geoscience and Remote Sensing Letters 10, 67–70.
https://doi.org/10.1109/LGRS.2012.2193113