171
Références bibliographiques
Abdel-Rahman, E.M., Mutanga, O., Adam, E., Ismail, R., 2014. Detecting Sirex noctilio greyattacked and lightning-struck pine trees using airborne hyperspectral data, random forest
and support vector machines classifiers. ISPRS Journal of Photogrammetry and Remote
Sensing 88, 48–59. https://doi.org/10.1016/j.isprsjprs.2013.11.013
Abuodha, P., Woodroffe, C., 2006. Assessing vulnerability of coasts to climate change: A review
of approaches and their application to the Australian coast. Faculty of Science - Papers
(Archive).
Alberga, V., 2007. A study of land cover classification using polarimetric SAR parameters.
International
Journal
of
Remote
Sensing
28,
3851–3870.
https://doi.org/10.1080/01431160601075541
Almeida, L.P., Almar, R., Blenkinsopp, C., Senechal, N., Bergsma, E., Floc’h, F., Caulet, C.,
Biausque, M., Marchesiello, P., Grandjean, P., Ammann, J., Benshila, R., Thuan, D.H.,
Gomes da Silva, P., Viet, N.T., 2020. Lidar Observations of the Swash Zone of a Low-Tide
Terraced Tropical Beach under Variable Wave Conditions: The Nha Trang (Vietnam)
COASTVAR Experiment. Journal of Marine Science and Engineering 8, 302.
https://doi.org/10.3390/jmse8050302
Almonacid-Caballer, J., Sánchez-García, E., Pardo-Pascual, J.E., Balaguer-Beser, A.A., PalomarVázquez, J., 2016. Evaluation of annual mean shoreline position deduced from Landsat
imagery as a mid-term coastal evolution indicator. Marine Geology 372, 79–88.
https://doi.org/10.1016/j.margeo.2015.12.015
Amarouche, K., Akpınar, A., Bachari, N.E.I., Houma, F., 2020. Wave energy resource assessment
along the Algerian coast based on 39-year wave hindcast. Renewable Energy 153, 840–
860. https://doi.org/10.1016/j.renene.2020.02.040
Andriolo, U., 2019. Nearshore Wave Transformation Domains from Video Imagery. Journal of
Marine Science and Engineering 7, 186. https://doi.org/10.3390/jmse7060186
Awange, J.L., Saleem, A., Konneh, S.S., Goncalves, R.M., Kiema, J.B.K., Hu, K.X., 2018.
Liberia’s coastal erosion vulnerability and LULC change analysis: Post-civil war and Ebola
epidemic. Applied Geography 101, 56–67. https://doi.org/10.1016/j.apgeog.2018.10.007
Ayadi, K., Boutiba, M., Sabatier, F., Guettouche, M.S., 2015. Detection and analysis of historical
variations in the shoreline, using digital aerial photos, satellite images, and topographic
surveys DGPS: case of the Bejaia bay (East Algeria). Arab J Geosci 9, 26.
https://doi.org/10.1007/s12517-015-2043-9
Baatz, M., Schape, A., 2000. Multiresolution segmentation: an optimization approach for high
quality multi-scale image segmentation. Multiresolution Segmentation: An Optimization
Approach for High Quality Multi-scale Image Segmentation 12–23.
Baghdadi, N., Gherboudj, I., Zribi, M., Sahebi, M., King, C., Bonn, F., 2004. Semi-empirical
calibration of the IEM backscattering model using radar images and moisture and roughness
Références bibliographiques
Abdel-Rahman, E.M., Mutanga, O., Adam, E., Ismail, R., 2014. Detecting Sirex noctilio greyattacked and lightning-struck pine trees using airborne hyperspectral data, random forest
and support vector machines classifiers. ISPRS Journal of Photogrammetry and Remote
Sensing 88, 48–59. https://doi.org/10.1016/j.isprsjprs.2013.11.013
Abuodha, P., Woodroffe, C., 2006. Assessing vulnerability of coasts to climate change: A review
of approaches and their application to the Australian coast. Faculty of Science - Papers
(Archive).
Alberga, V., 2007. A study of land cover classification using polarimetric SAR parameters.
International
Journal
of
Remote
Sensing
28,
3851–3870.
https://doi.org/10.1080/01431160601075541
Almeida, L.P., Almar, R., Blenkinsopp, C., Senechal, N., Bergsma, E., Floc’h, F., Caulet, C.,
Biausque, M., Marchesiello, P., Grandjean, P., Ammann, J., Benshila, R., Thuan, D.H.,
Gomes da Silva, P., Viet, N.T., 2020. Lidar Observations of the Swash Zone of a Low-Tide
Terraced Tropical Beach under Variable Wave Conditions: The Nha Trang (Vietnam)
COASTVAR Experiment. Journal of Marine Science and Engineering 8, 302.
https://doi.org/10.3390/jmse8050302
Almonacid-Caballer, J., Sánchez-García, E., Pardo-Pascual, J.E., Balaguer-Beser, A.A., PalomarVázquez, J., 2016. Evaluation of annual mean shoreline position deduced from Landsat
imagery as a mid-term coastal evolution indicator. Marine Geology 372, 79–88.
https://doi.org/10.1016/j.margeo.2015.12.015
Amarouche, K., Akpınar, A., Bachari, N.E.I., Houma, F., 2020. Wave energy resource assessment
along the Algerian coast based on 39-year wave hindcast. Renewable Energy 153, 840–
860. https://doi.org/10.1016/j.renene.2020.02.040
Andriolo, U., 2019. Nearshore Wave Transformation Domains from Video Imagery. Journal of
Marine Science and Engineering 7, 186. https://doi.org/10.3390/jmse7060186
Awange, J.L., Saleem, A., Konneh, S.S., Goncalves, R.M., Kiema, J.B.K., Hu, K.X., 2018.
Liberia’s coastal erosion vulnerability and LULC change analysis: Post-civil war and Ebola
epidemic. Applied Geography 101, 56–67. https://doi.org/10.1016/j.apgeog.2018.10.007
Ayadi, K., Boutiba, M., Sabatier, F., Guettouche, M.S., 2015. Detection and analysis of historical
variations in the shoreline, using digital aerial photos, satellite images, and topographic
surveys DGPS: case of the Bejaia bay (East Algeria). Arab J Geosci 9, 26.
https://doi.org/10.1007/s12517-015-2043-9
Baatz, M., Schape, A., 2000. Multiresolution segmentation: an optimization approach for high
quality multi-scale image segmentation. Multiresolution Segmentation: An Optimization
Approach for High Quality Multi-scale Image Segmentation 12–23.
Baghdadi, N., Gherboudj, I., Zribi, M., Sahebi, M., King, C., Bonn, F., 2004. Semi-empirical
calibration of the IEM backscattering model using radar images and moisture and roughness