180
Manandhar, R., Odeh, I.O.A., Ancev, T., 2009. Improving the Accuracy of Land Use and Land
Cover Classification of Landsat Data Using Post-Classification Enhancement. Remote
Sensing 1, 330–344. https://doi.org/10.3390/rs1030330
Marghany, M., 2016. Environmental Applications of Remote Sensing. BoD – Books on Demand.
McLaughlin, S., Cooper, J.A.G., 2011. A multi-scale coastal vulnerability index: A tool for coastal
managers? Environmental Hazards 9, 233–248. https://doi.org/10.3763/ehaz.2010.0052
Meur-Ferec, C., Berre, I.L., Cocquempot, L., Guillou, É., Henaff, A., Lami, T., Dantec, N.L.,
Letortu, P., Philippe, M., Noûs, C., 2020. Une méthode de suivi de la vulnérabilité
systémique à l’érosion et la submersion marines. Développement durable et territoires.
Économie,
géographie,
politique,
droit,
sociologie.
https://doi.org/10.4000/developpementdurable.16731
Meur-Ferec, C., Deboudt, P., Deldrève V., Flanquart H., Hellequin A.-P., Herbert V., Longuépée
J., Morel V., 2003. La vulnérabilité des territoires côtiers : évaluation, enjeux et politiques
publiques (rapports de recherche Programme national Environnement côtier.).
Meyer, H., Kühnlein, M., Appelhans, T., Nauss, T., 2016. Comparison of four machine learning
algorithms for their applicability in satellite-based optical rainfall retrievals. Atmospheric
Research 169, 424–433. https://doi.org/10.1016/j.atmosres.2015.09.021
Michel, J., Youssefi, D., Grizonnet, M., 2015. Stable Mean-Shift Algorithm and Its Application to
the Segmentation of Arbitrarily Large Remote Sensing Images. IEEE Transactions on
Geoscience
and
Remote
Sensing
53,
952–964.
https://doi.org/10.1109/TGRS.2014.2330857
Mihoubi, M.K, Belkessa, R., et M. A. Latreche, 2014. Study of the Vulnerability of Coastal Areas
of the Algerian Basin with the GIS . International Journal of Environmental Science and
Development 5, 522–526. https://doi.org/10.7763/ijesd.2014.v5.538.
Mihoubi, M.K, 2008. Etude expérimentale de l’interaction Eau-sédiment en zone de swash par
vélocimétrie doppler ultrasonore (vdu). Thèse de doctorat. ESP.
Ming, D., Ci, T., Cai, H., Li, L., Qiao, C., Du, J., 2012. Semivariogram-Based Spatial Bandwidth
Selection for Remote Sensing Image Segmentation With Mean-Shift Algorithm. IEEE
Geoscience
and
Remote
Sensing
Letters
9,
813–817.
https://doi.org/10.1109/LGRS.2011.2182604
Ministère chargé de l’environnement -PAP RAC/PAM, 2004. Stratégie nationale de gestion
intégrée des zones côtières en Algérie. Appui PAM-MedPartnership, UNESCO).
Mishra, D.R., Narumalani, S., Rundquist, D., Lawson, M., 2005. High-resolution ocean color
remote sensing of benthic habitats: a case study at the Roatan island, Honduras. IEEE Trans.
Geosci. Remote Sensing 43, 1592–1604. https://doi.org/10.1109/TGRS.2005.847790
Modava, M., Akbarizadeh, G., 2017. Coastline extraction from SAR images using spatial fuzzy
clustering and the active contour method. International Journal of Remote Sensing 38, 355–
370. https://doi.org/10.1080/01431161.2016.1266104
Manandhar, R., Odeh, I.O.A., Ancev, T., 2009. Improving the Accuracy of Land Use and Land
Cover Classification of Landsat Data Using Post-Classification Enhancement. Remote
Sensing 1, 330–344. https://doi.org/10.3390/rs1030330
Marghany, M., 2016. Environmental Applications of Remote Sensing. BoD – Books on Demand.
McLaughlin, S., Cooper, J.A.G., 2011. A multi-scale coastal vulnerability index: A tool for coastal
managers? Environmental Hazards 9, 233–248. https://doi.org/10.3763/ehaz.2010.0052
Meur-Ferec, C., Berre, I.L., Cocquempot, L., Guillou, É., Henaff, A., Lami, T., Dantec, N.L.,
Letortu, P., Philippe, M., Noûs, C., 2020. Une méthode de suivi de la vulnérabilité
systémique à l’érosion et la submersion marines. Développement durable et territoires.
Économie,
géographie,
politique,
droit,
sociologie.
https://doi.org/10.4000/developpementdurable.16731
Meur-Ferec, C., Deboudt, P., Deldrève V., Flanquart H., Hellequin A.-P., Herbert V., Longuépée
J., Morel V., 2003. La vulnérabilité des territoires côtiers : évaluation, enjeux et politiques
publiques (rapports de recherche Programme national Environnement côtier.).
Meyer, H., Kühnlein, M., Appelhans, T., Nauss, T., 2016. Comparison of four machine learning
algorithms for their applicability in satellite-based optical rainfall retrievals. Atmospheric
Research 169, 424–433. https://doi.org/10.1016/j.atmosres.2015.09.021
Michel, J., Youssefi, D., Grizonnet, M., 2015. Stable Mean-Shift Algorithm and Its Application to
the Segmentation of Arbitrarily Large Remote Sensing Images. IEEE Transactions on
Geoscience
and
Remote
Sensing
53,
952–964.
https://doi.org/10.1109/TGRS.2014.2330857
Mihoubi, M.K, Belkessa, R., et M. A. Latreche, 2014. Study of the Vulnerability of Coastal Areas
of the Algerian Basin with the GIS . International Journal of Environmental Science and
Development 5, 522–526. https://doi.org/10.7763/ijesd.2014.v5.538.
Mihoubi, M.K, 2008. Etude expérimentale de l’interaction Eau-sédiment en zone de swash par
vélocimétrie doppler ultrasonore (vdu). Thèse de doctorat. ESP.
Ming, D., Ci, T., Cai, H., Li, L., Qiao, C., Du, J., 2012. Semivariogram-Based Spatial Bandwidth
Selection for Remote Sensing Image Segmentation With Mean-Shift Algorithm. IEEE
Geoscience
and
Remote
Sensing
Letters
9,
813–817.
https://doi.org/10.1109/LGRS.2011.2182604
Ministère chargé de l’environnement -PAP RAC/PAM, 2004. Stratégie nationale de gestion
intégrée des zones côtières en Algérie. Appui PAM-MedPartnership, UNESCO).
Mishra, D.R., Narumalani, S., Rundquist, D., Lawson, M., 2005. High-resolution ocean color
remote sensing of benthic habitats: a case study at the Roatan island, Honduras. IEEE Trans.
Geosci. Remote Sensing 43, 1592–1604. https://doi.org/10.1109/TGRS.2005.847790
Modava, M., Akbarizadeh, G., 2017. Coastline extraction from SAR images using spatial fuzzy
clustering and the active contour method. International Journal of Remote Sensing 38, 355–
370. https://doi.org/10.1080/01431161.2016.1266104