172
field measurements. International Journal of Remote Sensing 25, 3593–3623.
https://doi.org/10.1080/01431160310001654392
Bagli, S., Soille, P., 2003. Morphological Automatic Extraction of Pan-European Coastline from
Landsat ETM + Image. Presented at the International Symposium on GIS and Computer
Cartography for Coastal Management, Genova, 26 September, pp. 58–69.
Balica, S.F., Wright, N.G., van der Meulen, F., 2012. A flood vulnerability index for coastal cities
and its use in assessing climate change impacts. Nat Hazards 64, 73–105.
https://doi.org/10.1007/s11069-012-0234-1
Banko, G., 1998. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data
and of Methods Including Remote Sensing Data in Forest Inventory.
Bañón, L., Pagán, J.I., López, I., Banon, C., Aragonés, L., 2019. Validating UAS-Based
Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems
in the Spanish Mediterranean Coast. Journal of Marine Science and Engineering 7, 297.
https://doi.org/10.3390/jmse7090297
Barragán, J.M., de Andrés, M., 2015. Analysis and trends of the world’s coastal cities and
agglomerations.
Ocean
and
Coastal
Management
114,
11–20.
https://doi.org/10.1016/j.ocecoaman.2015.06.004
Belgiu, M., Drǎguţ, L., 2014. Comparing supervised and unsupervised multiresolution
segmentation approaches for extracting buildings from very high resolution imagery.
ISPRS Journal of Photogrammetry and Remote Sensing 96, 67–75.
https://doi.org/10.1016/j.isprsjprs.2014.07.002
Belgiu, M., Drǎguţ, L., Strobl, J., 2014. Quantitative evaluation of variations in rule-based
classifications of land cover in urban neighbourhoods using WorldView-2 imagery. ISPRS
Journal
of
Photogrammetry
and
Remote
Sensing
87,
205–215.
https://doi.org/10.1016/j.isprsjprs.2013.11.007
Bengoufa, S., Harid, R., Belkessa, R., Mihoubi, M., 2018. Coastal Vulnerability Assessment (Case
of the Western Algerian Coast). Presented at the The 3d Int. Workshop on Biodiversity and
Aquatic Ecosystem Management- BGEE, ENSSMAL, Algeria.
Bezzeghoud, M., Buforn, E., 1999. Source Parameters of the 1992 Melila (Spain, Mw= 4.8), 1994
Al Hoceima (Morocco, Mw= 5.8) and 1994 Mascara (Algeria, Mw5.7) Earthquakes and
Seismotectonic Implications. Bulletin of the Seismological Society of America 89.
Bird, E.C.F., 1985. Coastline changes. A global review.
Birkmann, J., Welle, T., 2015. Assessing the risk of loss and damage: exposure, vulnerability and
risk to climate-related hazards for different country classifications. IJGW 8, 191.
https://doi.org/10.1504/IJGW.2015.071963
Boak, E.H., Turner, I.L., 2005. Shoreline Definition and Detection: A Review. Journal of Coastal
Research 21, 688–703. https://doi.org/10.2112/03-0071.1
Bonaccorso, G., 2017. Machine Learning Algorithms. Packt Publishing Ltd.
Bonnot-Courtois, C., Levasseur, J.E., Denantes, S., 2013. Reconnaissance de la limite terrestre du
domaine maritime : intérêt et potentialités de critères morpho-sédimentaires et botaniques.
CETMEF.
field measurements. International Journal of Remote Sensing 25, 3593–3623.
https://doi.org/10.1080/01431160310001654392
Bagli, S., Soille, P., 2003. Morphological Automatic Extraction of Pan-European Coastline from
Landsat ETM + Image. Presented at the International Symposium on GIS and Computer
Cartography for Coastal Management, Genova, 26 September, pp. 58–69.
Balica, S.F., Wright, N.G., van der Meulen, F., 2012. A flood vulnerability index for coastal cities
and its use in assessing climate change impacts. Nat Hazards 64, 73–105.
https://doi.org/10.1007/s11069-012-0234-1
Banko, G., 1998. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data
and of Methods Including Remote Sensing Data in Forest Inventory.
Bañón, L., Pagán, J.I., López, I., Banon, C., Aragonés, L., 2019. Validating UAS-Based
Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems
in the Spanish Mediterranean Coast. Journal of Marine Science and Engineering 7, 297.
https://doi.org/10.3390/jmse7090297
Barragán, J.M., de Andrés, M., 2015. Analysis and trends of the world’s coastal cities and
agglomerations.
Ocean
and
Coastal
Management
114,
11–20.
https://doi.org/10.1016/j.ocecoaman.2015.06.004
Belgiu, M., Drǎguţ, L., 2014. Comparing supervised and unsupervised multiresolution
segmentation approaches for extracting buildings from very high resolution imagery.
ISPRS Journal of Photogrammetry and Remote Sensing 96, 67–75.
https://doi.org/10.1016/j.isprsjprs.2014.07.002
Belgiu, M., Drǎguţ, L., Strobl, J., 2014. Quantitative evaluation of variations in rule-based
classifications of land cover in urban neighbourhoods using WorldView-2 imagery. ISPRS
Journal
of
Photogrammetry
and
Remote
Sensing
87,
205–215.
https://doi.org/10.1016/j.isprsjprs.2013.11.007
Bengoufa, S., Harid, R., Belkessa, R., Mihoubi, M., 2018. Coastal Vulnerability Assessment (Case
of the Western Algerian Coast). Presented at the The 3d Int. Workshop on Biodiversity and
Aquatic Ecosystem Management- BGEE, ENSSMAL, Algeria.
Bezzeghoud, M., Buforn, E., 1999. Source Parameters of the 1992 Melila (Spain, Mw= 4.8), 1994
Al Hoceima (Morocco, Mw= 5.8) and 1994 Mascara (Algeria, Mw5.7) Earthquakes and
Seismotectonic Implications. Bulletin of the Seismological Society of America 89.
Bird, E.C.F., 1985. Coastline changes. A global review.
Birkmann, J., Welle, T., 2015. Assessing the risk of loss and damage: exposure, vulnerability and
risk to climate-related hazards for different country classifications. IJGW 8, 191.
https://doi.org/10.1504/IJGW.2015.071963
Boak, E.H., Turner, I.L., 2005. Shoreline Definition and Detection: A Review. Journal of Coastal
Research 21, 688–703. https://doi.org/10.2112/03-0071.1
Bonaccorso, G., 2017. Machine Learning Algorithms. Packt Publishing Ltd.
Bonnot-Courtois, C., Levasseur, J.E., Denantes, S., 2013. Reconnaissance de la limite terrestre du
domaine maritime : intérêt et potentialités de critères morpho-sédimentaires et botaniques.
CETMEF.