Bibliographies

Themistocleous, K., Papoutsa, C., Michaelides, S., and Hadjimitsis, D. (2020). Investigating detection of floating plastic litter from space using Sentinel-2 imagery, Remote Sens., 12(16), 2648, [...]

Topouzelis, K., Papageorgiou, D., Karagaitanakis, A., Papakonstantinou, A., and Arias Ballesteros, M. (2020). Remote sensing of sea surface artificial floating plastic targets with Sentinel-2 and [...]

Papakonstantinou, A., Batsaris, M., Spondylidis, S., and Topouzelis, K. (2021). A citizen science unmanned aerial system data acquisition protocol and deep learning techniques for the automatic [...]

Papachristopoulou, I., Filippides, A., Fakiris, E., and Papatheodorou, G. (2020). Vessel-based photographic assessment of beach litter in remote coasts. A wide scale application in Saronikos [...]

Nakashima, E., Isobe, A., Magome, S., Kako, S. i., and Deki, N. (2011). Using aerial photography and in situ measurements to estimate the quantity of macro-litter on beaches. Mar. Pollut. Bull., [...]

Merlino, S., Paterni, M., Berton, A., and Massetti, L. (2020). Unmanned aerial vehicles for debris survey in coastal areas: Long-term monitoring programme to study spatial and temporal [...]

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. [...]