Bibliographies

Martinez-Vicente, V., Biermann, L., and Mata, A. (2020). Optical methods for marine litter detection (OPTIMAL) – Final Report. Zenodo, https://doi.org/10.5281/zenodo.3748797

Martin, C., Parkes, S., Zhang, Q., Zhang, X., McCabe, M. F., and Duarte, C. M. (2018). Use of unmanned aerial vehicles for efficient beach litter monitoring, Mar. Pollut. Bull., 131, 662-673, [...]

Kühn, F., Oppermann, K., and Hörig, B. (2004). Hydrocarbon Index – an algorithm for hyperspectral detection of hydrocarbons, Int. J. Remote Sens., 25(12), 2467-2473, [...]

Knaeps, E., Sterckx, S., Strackx, G., Mijnendonckx, J., Moshtaghi, M., Garaba, S. P., and Meire, D. (2021). Hyperspectral reflectance dataset of dry, wet and submerged marine litter, Earth Syst. [...]

Kako, S. i., Isobe, A., Kataoka, T., Yufu, K., Sugizono, S., Plybon, C., and Murphy, T. A. (2018). Sequential webcam monitoring and modeling of marine debris abundance, Mar. Pollut. Bull., 132, [...]

Kako, S. i., Isobe, A., and Magome, S. (2012). Low altitude remote-sensing method to monitor marine and beach litter of various colors using a balloon equipped with a digital camera, Mar. Pollut. [...]

Hörig, B., Kühn, F., Oschütz, F., and Lehmann, F. (2001). HyMap hyperspectral remote sensing to detect hydrocarbons, Int. J. Remote Sens., 22(8), 1413-1422, https://doi.org/10.1080/01431160120909

Hanke, G. and González-Fernández, D. (2014). Longterm deployment of the JRC Sealittercam on the Western Mediterranean Sea. In: Giannoudi, L., Streftaris, N. and Papathanassiou, E. (eds.) [...]

Guo, X. and Li, P. (2020). Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data, ISPRS J. Photogramm. and Remote [...]

Gonçalves, G., Andriolo, U., Pinto, L., and Bessa, F. (2020). Mapping marine litter using UAS on a beach-dune system: a multidisciplinary approach.  Sci. Total Environ., 706, 135742, [...]