175
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C.,
Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F., Bargellini, P.,
2012. Sentinel-2: ESA’s Optical High-Resolution Mission for GMES Operational Services.
Remote Sensing of Environment, The Sentinel Missions - New Opportunities for Science
120, 25–36. https://doi.org/10.1016/j.rse.2011.11.026
Du, P., Samat, A., Waske, B., Liu, S., Li, Z., 2015. Random Forest and Rotation Forest for fully
polarized SAR image classification using polarimetric and spatial features. ISPRS Journal
of
Photogrammetry
and
Remote
Sensing
105,
38–53.
https://doi.org/10.1016/j.isprsjprs.2015.03.002
Duggen, S., Hoernle, K., Bogaard, P. van den, Harris, C., 2004. Magmatic evolution of the Alboran
region: The role of subduction in forming the western Mediterranean and causing the
Messinian Salinity Crisis. Earth and Planetary Science Letters 1–2, 91–108.
https://doi.org/10.1016/S0012-821X(03)00632-0
Elnabwy, M.T., Elbeltagi, E., El Banna, M.M., Elshikh, M.M.Y., Motawa, I., Kaloop, M.R., 2020.
An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated
Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt. ISPRS International
Journal of Geo-Information 9, 199. https://doi.org/10.3390/ijgi9040199
Ferrarin, C., Bellafiore, D., Sannino, G., Bajo, M., Umgiesser, G., 2018. Tidal dynamics in the
inter-connected Mediterranean, Marmara, Black and Azov seas. Progress in Oceanography
161, 102–115. https://doi.org/10.1016/j.pocean.2018.02.006
Ferreira, Ó., Garcia, T., Matias, A., Taborda, R., Dias, J.A., 2006. An integrated method for the
determination of set-back lines for coastal erosion hazards on sandy shores. Continental
Shelf Research, Coastal Hazard Assessment in the Gulf of Cádiz 26, 1030–1044.
https://doi.org/10.1016/j.csr.2005.12.016
Fletcher, C., Rooney, J., Barbee, M., Lim, S.-C., Richmond, B., 2003. Mapping Shoreline Change
Using Digital Orthophotogrammetry on Maui, Hawaii. Journal of Coastal Research 106–
124.
Foody, G.M., 2002. Status of land cover classification accuracy assessment. Remote Sensing of
Environment 80, 185–201. https://doi.org/10.1016/S0034-4257(01)00295-4
Foody, G. M., Mathur, A., 2004. A relative evaluation of multiclass image classification by support
vector machines. IEEE Transactions on Geoscience and Remote Sensing 42, 1335–1343.
https://doi.org/10.1109/TGRS.2004.827257
Foody, Giles M., Mathur, A., 2004. Toward intelligent training of supervised image classifications:
directing training data acquisition for SVM classification. Remote Sensing of Environment
93, 107–117. https://doi.org/10.1016/j.rse.2004.06.017
Foster-Smith, R.L., Sotheran, I.S., 2003. Mapping marine benthic biotopes using acoustic ground
discrimination systems. International Journal of Remote Sensing 24, 2761–2784.
https://doi.org/10.1080/0143116031000066323a
Fukunaga, K., Hostetler, L., 1975. The estimation of the gradient of a density function, with
applications in pattern recognition. IEEE Transactions on Information Theory 21, 32–40.
https://doi.org/10.1109/TIT.1975.1055330
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C.,
Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F., Bargellini, P.,
2012. Sentinel-2: ESA’s Optical High-Resolution Mission for GMES Operational Services.
Remote Sensing of Environment, The Sentinel Missions - New Opportunities for Science
120, 25–36. https://doi.org/10.1016/j.rse.2011.11.026
Du, P., Samat, A., Waske, B., Liu, S., Li, Z., 2015. Random Forest and Rotation Forest for fully
polarized SAR image classification using polarimetric and spatial features. ISPRS Journal
of
Photogrammetry
and
Remote
Sensing
105,
38–53.
https://doi.org/10.1016/j.isprsjprs.2015.03.002
Duggen, S., Hoernle, K., Bogaard, P. van den, Harris, C., 2004. Magmatic evolution of the Alboran
region: The role of subduction in forming the western Mediterranean and causing the
Messinian Salinity Crisis. Earth and Planetary Science Letters 1–2, 91–108.
https://doi.org/10.1016/S0012-821X(03)00632-0
Elnabwy, M.T., Elbeltagi, E., El Banna, M.M., Elshikh, M.M.Y., Motawa, I., Kaloop, M.R., 2020.
An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated
Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt. ISPRS International
Journal of Geo-Information 9, 199. https://doi.org/10.3390/ijgi9040199
Ferrarin, C., Bellafiore, D., Sannino, G., Bajo, M., Umgiesser, G., 2018. Tidal dynamics in the
inter-connected Mediterranean, Marmara, Black and Azov seas. Progress in Oceanography
161, 102–115. https://doi.org/10.1016/j.pocean.2018.02.006
Ferreira, Ó., Garcia, T., Matias, A., Taborda, R., Dias, J.A., 2006. An integrated method for the
determination of set-back lines for coastal erosion hazards on sandy shores. Continental
Shelf Research, Coastal Hazard Assessment in the Gulf of Cádiz 26, 1030–1044.
https://doi.org/10.1016/j.csr.2005.12.016
Fletcher, C., Rooney, J., Barbee, M., Lim, S.-C., Richmond, B., 2003. Mapping Shoreline Change
Using Digital Orthophotogrammetry on Maui, Hawaii. Journal of Coastal Research 106–
124.
Foody, G.M., 2002. Status of land cover classification accuracy assessment. Remote Sensing of
Environment 80, 185–201. https://doi.org/10.1016/S0034-4257(01)00295-4
Foody, G. M., Mathur, A., 2004. A relative evaluation of multiclass image classification by support
vector machines. IEEE Transactions on Geoscience and Remote Sensing 42, 1335–1343.
https://doi.org/10.1109/TGRS.2004.827257
Foody, Giles M., Mathur, A., 2004. Toward intelligent training of supervised image classifications:
directing training data acquisition for SVM classification. Remote Sensing of Environment
93, 107–117. https://doi.org/10.1016/j.rse.2004.06.017
Foster-Smith, R.L., Sotheran, I.S., 2003. Mapping marine benthic biotopes using acoustic ground
discrimination systems. International Journal of Remote Sensing 24, 2761–2784.
https://doi.org/10.1080/0143116031000066323a
Fukunaga, K., Hostetler, L., 1975. The estimation of the gradient of a density function, with
applications in pattern recognition. IEEE Transactions on Information Theory 21, 32–40.
https://doi.org/10.1109/TIT.1975.1055330