Bibliographies

Garcia-Garin, O., Aguilar, A., Borrell, A., Gozalbes, P., Lobo, A., Penadés-Suay, J., Raga, J. A., Revuelta, O., Serrano, M., and Vighi, M. (2020). Who’s better at spotting? A comparison between [...]

Geraeds, M.; van Emmerik, T.; de Vries, R. and bin Ab Razak, M.S. (2019). Riverine Plastic Litter Monitoring Using Unmanned Aerial Vehicles (UAVs). Remote Sens. 11, 2045, [...]

Fallati, L., Polidori, A., Salvatore, C., Saponari, L., Savini, A., and Galli, P.(2019). Anthropogenic marine debris assessment with unmanned aerial vehicle imagery and deep learning: A case [...]

Deidun, A., Gauci, A., Lagorio, S., and Galgani, F. (2018).  Optimising beached litter monitoring protocols through aerial imagery, Mar. Pollut. Bull., 131, 212-217, [...]

Balsi, M., Moroni, M., Chiarabini, V., and Tanda, G.(2021). High-resolution aerial detection of marine plastic litter by hyperspectral sensing, Remote Sens. (Basel), 13, 1557, [...]

Aoyama, T. (2016). Extraction of marine debris in the Sea of Japan using satellite images, Proc. SPIE 9878, Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and [...]

Andriolo, U., Gonçalves, G., Sobral, P., and Bessa, F.(2021) Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast, Mar. Pollut. [...]

Andriolo, U., Garcia-Garin, O., Vighi, M., Borrell, A., and Gonçalves, G. (2022) . Beached and floating litter surveys by unmanned aerial vehicles: operational analogies and differences, Remote [...]

Aguilar, M. A., Jiménez-Lao, R., Ladisa, C., Aguilar, F. J., and Tarantino, E. (2022). Comparison of spectral indices extracted from Sentinel-2 images to map plastic covered greenhouses through [...]

Tasseron, Paolo F., Louise Schreyers, Joseph Peller, Lauren Biermann, and Tim van Emmerik. (2022). Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery, [...]