{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:29:07Z","timestamp":1783574947123,"version":"3.55.0"},"reference-count":57,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T00:00:00Z","timestamp":1586995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Unmanned aerial vehicles (UAVs) are becoming increasingly accessible tools with widespread use as environmental monitoring systems. They can be used for anthropogenic marine debris survey, a recently growing research field. In fact, while the increasing efforts for offshore investigations lead to a considerable collection of data on this type of pollution in the open sea, there is still little knowledge of the materials deposited along the coasts and the mechanism that leads to their accumulation pattern. UAVs can be effective in bridging this gap by increasing the amount of data acquired to study coastal deposits, while also limiting the anthropogenic impact in protected areas. In this study, UAVs have been used to acquire geo-referenced RGB images in a selected zone of a protected marine area (the Migliarino, Massacciuccoli, and San Rossore park near Pisa, Italy), during a long-term (ten months) monitoring programme. A post processing system based on visual interpretation of the images allows the localization and identification of the anthropogenic marine debris within the scanned area, and the estimation of their spatial and temporal distribution in different zones of the beach. These results provide an opportunity to investigate the dynamics of accumulation over time, suggesting that our approach might be appropriate for monitoring and collecting such data in isolated, and especially in protected, areas with significant benefits for different types of stakeholders.<\/jats:p>","DOI":"10.3390\/rs12081260","type":"journal-article","created":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T13:01:39Z","timestamp":1587042099000},"page":"1260","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":92,"title":["Unmanned Aerial Vehicles for Debris Survey in Coastal Areas: Long-Term Monitoring Programme to Study Spatial and Temporal Accumulation of the Dynamics of Beached Marine Litter"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4537-2903","authenticated-orcid":false,"given":"Silvia","family":"Merlino","sequence":"first","affiliation":[{"name":"Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche, ISMAR \u2013 CNR, 19032 Lerici (SP), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Paterni","sequence":"additional","affiliation":[{"name":"Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche, IFC \u2013 CNR, 56124 Pisa (PI), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Berton","sequence":"additional","affiliation":[{"name":"Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche, IFC \u2013 CNR, 56124 Pisa (PI), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0941-5347","authenticated-orcid":false,"given":"Luciano","family":"Massetti","sequence":"additional","affiliation":[{"name":"Istituto per la Bioeconomia del Consiglio Nazionale delle Ricerche, IBE \u2013 CNR, 50145 Firenze (FI), Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10239","DOI":"10.1073\/pnas.1314705111","article-title":"Plastic debris in the open ocean","volume":"111","author":"Irigoien","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_2","unstructured":"Cannizzaro, L., Garofalo, G., Giusto, G., Rizzo, P., and Levi, D. (1995, January 24\u201327). Qualitative and quantitative estimate of solid waste in the channel of Sicily. Proceedings of the Second International Conforence on the Mediterranean Coastal Environment, MED-COAST, Tarragona, Spain."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1016\/0025-326X(95)00055-R","article-title":"Distribution and abundance of debris on the continental shelf of the north-western Mediterranean Sea","volume":"30","author":"Galgani","year":"1995","journal-title":"Mar. Pollut. Bull."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"C\u00f3zar, A., Sanz-Mart\u00edn, M., Mart\u00ed, E., Gonz\u00e1lez-Gordillo, J.I., Ubeda, B., G\u00e1lvez, J.\u00c1., Irigoien, X., and Duarte, C.M. (2015). Plastic accumulation in the mediterranean sea. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0121762"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.marenvres.2016.01.005","article-title":"Microplastics in the Mediterranean Sea: Deposition in coastal shallow sediments, spatial variation and preferential grain size","volume":"115","author":"Alomar","year":"2016","journal-title":"Mar. Environ. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"37551","DOI":"10.1038\/srep37551","article-title":"The Mediterranean plastic soup: Synthetic polymers in Mediterranean surface waters","volume":"6","author":"Suaria","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_7","unstructured":"(2020, February 02). MedSeaLitter EU Project. Available online: https:\/\/medsealitter.interreg-med.eu."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1596","DOI":"10.1016\/j.marpolbul.2011.05.030","article-title":"Microplastics in the marine environment","volume":"62","author":"Andrady","year":"2011","journal-title":"Mar. Pollut. Bull."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.marpolbul.2017.01.082","article-title":"The plastic in microplastics: A review","volume":"119","author":"Andrady","year":"2017","journal-title":"Mar. Pollut. Bull."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/j.marpolbul.2018.09.023","article-title":"Microplastic and charred microplastic in the Faafu Atoll, Maldives","volume":"136","author":"Saliu","year":"2018","journal-title":"Mar. Pollut. Bull."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.marpolbul.2019.03.043","article-title":"Microplastics as a threat to coral reef environments: Detection of phthalate esters in neuston and scleractinian corals from the Faafu Atoll, Maldives","volume":"142","author":"Saliu","year":"2019","journal-title":"Mar. Pollut. Bull."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Olivelli, A., Hardesty, D., and Wilcox, C. (2020). Coastal margins and backshores represent a major sink for marine debris: Insights from a continental-scale analysis. Environ. Res. Lett., in press.","DOI":"10.1088\/1748-9326\/ab7836"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Lebreton, L.C.M., van der Zwet, J., Damsteeg, J.-W., Slat, B., Andrady, A., and Reisser, J. (2017). River plastic emissions to the world\u2019s oceans. Nat. Commun.","DOI":"10.1038\/ncomms15611"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5330","DOI":"10.1038\/s41598-019-41816-8","article-title":"Massive benthic litter funnelled to deep sea by flash- flood generated hyperpycnal flows","volume":"9","author":"Pierdomenico","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_15","unstructured":"OSPAR Commission (2010). Guideline for Monitoring Marine Litter on the Beaches in the OSPAR Maritime Area, OSPAR Commission."},{"key":"ref_16","unstructured":"Galgani, F., Hanke, G., Werner, S., Oosterbaan, L., Nilsson, P., Fleet, D., Kinsey, S., Thompson, R.C., van Franeker, J., and Vlachogianni, T. (2013). Guidance on Monitoring of Marine Litter in European Seas."},{"key":"ref_17","unstructured":"UN Environment (2017). Combating Marine Plastic Litter and Microplastics: An Assessment of the Effectiveness of Relevant International, Regional and Subregional Governance Strategies and Approaches, UN Environment."},{"key":"ref_18","unstructured":"Kershaw, P.J., Turra, A., and Galgani, F. (2019). Guidelines on the Monitoring and Assessment of Plastic Litter and Microplastics in the Ocean, GESAMP. (IMO\/FAO\/ UNESCO IOC\/UNIDO\/WMO\/IAEA\/UN\/UNEP\/UNDP\/ISA Joint Group of Experts on the Scientic Aspects of Marine Environmental Protection). Rep. Stud. GESAMP No. 99 130p."},{"key":"ref_19","unstructured":"Kershaw, P.J., Turra, A., and Galgani, F. (2019). Guidelines for the Monitoring & Assessment of Plastic Litter in the Ocean Reports & Studies 99, GESAMP."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"van Emmerik, T., and Schwarz, A. (2020). Plastic debris in rivers. Wires Water, 7.","DOI":"10.1002\/wat2.1398"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Yao, H., Qin, R., and Chen, X. (2019). Unmanned Aerial Vehicle for Remote Sensing Applications\u2014A Review. Remote Sens., 11.","DOI":"10.3390\/rs11121443"},{"key":"ref_22","first-page":"175","article-title":"Detection of floating plastics from satellite and unmanned aerial systems (Plastic Litter Project 2018)","volume":"79","author":"Topouzelis","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.scitotenv.2015.01.109","article-title":"Photogrammetry for environmental monitoring: The use of drones and hydrological models for detection of soil contaminated by copper","volume":"514","author":"Capolupo","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5059","DOI":"10.1080\/01431161.2018.1446568","article-title":"Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping","volume":"39","author":"Duarte","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1007\/s10236-011-0447-y","article-title":"Surf zone characterization from unmanned aerial vehicle imagery","volume":"61","author":"Holman","year":"2011","journal-title":"Ocean Dyn."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Manfreda, S., Mccabe Matthew, F., Miller Pauline, E., Lucas, R., Pajuelo, V.M., Mallinis, G., Dor EBen Helman David Estes, L., Ciraolo, G., Mu\u0308llerova\u0301, J., and Tauro, F. (2018). Use of unmanned aerial systems for environmental monitoring. Remote Sens., 10.","DOI":"10.20944\/preprints201803.0097.v1"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.coastaleng.2016.03.011","article-title":"UAVs for coastal surveying","volume":"114","author":"Turner","year":"2016","journal-title":"Coast. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1080\/01431161.2017.1297548","article-title":"UAS, sensors, and data processing in agroforestry: A review towards practical applications","volume":"38","author":"Vanko","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.rse.2017.04.007","article-title":"UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA","volume":"195","author":"Sankey","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1080\/01431161.2016.1252477","article-title":"Forestry applications of UAVs in Europe: A re- view","volume":"38","author":"Torresan","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5099","DOI":"10.1080\/01431161.2017.1420940","article-title":"Combining image processing and machine learning to identify invasive plants in high-resolution images","volume":"39","author":"Baron","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Bonali, F.L., Tibaldi, A., Marchese, F., Fallati, L., Russo, E., Corselli, C., and Savini, A. (2019). UAV-based surveying in volcano-tectonics: An example from the Iceland rift. J. Struct. Geol.","DOI":"10.1016\/j.jsg.2019.02.004"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Mlambo, R., Woodhouse, I.H., Gerard, F., and Anderson, K. (2017). Structure from motion (SfM) photogrammetry with drone data: A low cost method for monitoring greenhouse gas emissions from forests in developing countries. Forests, 8.","DOI":"10.3390\/f8030068"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Pe\u0301rez-Alva\u0301rez, J.A., Gonc\u0327alves, G.R., and Cerrillo-Cuenca, E. (2019). A protocol for mapping ar- chaeological sites through aerial 4k videos. Digit. Appl. Archaeol. Cult. Herit., 13.","DOI":"10.1016\/j.daach.2019.e00101"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.advengsoft.2019.03.010","article-title":"Accuracy and effectiveness of orthophotos obtained from low cost UASs video imagery for traf!c accident scenes documentation","volume":"132","author":"Rangel","year":"2019","journal-title":"Adv. Eng. Softw."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Ventura, D., Bonifazi, A., Gravina, M.F., Belluscio, A., and Ardizzone, G. (2018). Mapping and classification of ecologically sensitive marine habitats using unmanned aerial vehicle (UAV) imagery and Object-Based Image Analysis (OBIA). Remote Sens., 10.","DOI":"10.3390\/rs10091331"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/icesjms\/fsx100","article-title":"The Potential for Unmanned Aerial Vehicles (UAVs) to Conduct Marine Fauna Surveys in Place of Manned Aircraft","volume":"75","author":"Colefax","year":"2018","journal-title":"Ices, J. Mar. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"237","DOI":"10.3354\/meps11945","article-title":"Using unmanned aerial vehicles (UAVs) to investigate shark and ray densities in a shallow coral lagoon","volume":"560","author":"Kiszka","year":"2016","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1007\/s00338-018-1662-5","article-title":"Assessing the spatial distribution of coral bleaching using small unmanned aerial systems","volume":"37","author":"Levy","year":"2018","journal-title":"Coral Reefs"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Fallati, L., Polidori, A., Salvatore, C., Saponari, L., Savini, A., and Galli, P. (2019). Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deeplearning: A case study along the beaches of the Republic of Maldives. Sci. Total Environ., 693.","DOI":"10.1016\/j.scitotenv.2019.133581"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.marpolbul.2018.08.009","article-title":"Monitoring of beach litter by automatic interpretation of unmanned aerial vehicle images using the segmentation threshold method","volume":"137","author":"Bao","year":"2018","journal-title":"Mar. Pollut. Bull."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.marpolbul.2018.04.033","article-title":"Optimising beached litter monitoring protocols through aerial imagery","volume":"131","author":"Deidun","year":"2018","journal-title":"Mar. Poll. Bull."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1016\/j.marpolbul.2018.04.045","article-title":"Use of unmanned aerial vehicles for efcient beach litter monitoring","volume":"131","author":"Martin","year":"2018","journal-title":"Mar. Poll. Bull."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Gonc\u0327alves, G., Andriolo, U., Pinto, L., and Bessa, F. (2019). Mapping marine litter using UAS on a beach-dune system: A multidisciplinary approach. Sci. Total Environ., in press.","DOI":"10.1016\/j.scitotenv.2019.135742"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"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.","DOI":"10.3390\/rs11172045"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1016\/S0025-326X(98)00041-1","article-title":"Spatial and temporal variations in debris accumulation and composition on an estuarine shoreline, Cliffwood Beach, New Jersey, USA","volume":"36","author":"Thornton","year":"1998","journal-title":"Mar. Pollut. Bull."},{"key":"ref_47","first-page":"418","article-title":"Dynamics of litter pollution on Israeli Mediterranean beaches: A budgetary, litter flux approach","volume":"14","author":"Bowman","year":"1998","journal-title":"J. Coast. Res."},{"key":"ref_48","unstructured":"QGIS Development Team (2020) (2020, March 30). QGIS Geographic Information System. Open Source Geospatial Foundation Project. Available online: http:\/\/qgis.osgeo.org."},{"key":"ref_49","unstructured":"(2020, March 30). OpenStreetMap contributors, licensed under the Creative Commons Attribution-ShareAlike 2.0 license (CC BY-SA). Available online: https:\/\/www.openstreetmap.org\/copyright\/en."},{"key":"ref_50","unstructured":"Regione Toscana (2020, March 30). Geoscopio WMS, licensed under the Creative Commons (CC). Available online: https:\/\/dronedj.com\/2020\/01\/08\/dji-phantom-4-pro-v2-0-is-finally-back\/."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"99","DOI":"10.4031\/MTSJ.49.4.3","article-title":"SeaCleaner: Focusing citizen science and environment education on unraveling the marine litter problem","volume":"49","author":"Merlino","year":"2015","journal-title":"Mar. Technol. Soc. J."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.marpolbul.2018.02.042","article-title":"Spatial distribution of marine litter along italian coastal areas in the Pelagos sanctuary (Ligurian Sea\u2014NW Mediterranean Sea): A focus on natural and urban beaches","volume":"130","author":"Giovacchini","year":"2018","journal-title":"Mar. Poll. Bull."},{"key":"ref_53","unstructured":"(2020, March 30). DRONE Harmony: flight planner and data capture tool, designed to collect drone data (photos or video) for a variety of applications. Available online: https:\/\/droneharmony.com."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1007\/s12210-018-0750-3","article-title":"Marine litter detection and correlation with the seabird nest content","volume":"29","author":"Merlino","year":"2018","journal-title":"Rend. Lincei Sci. Fis. Nat."},{"key":"ref_55","unstructured":"(2020, March 30). Tuscany region. Regional Hydrological and Geological Sector Archive. Available online: http:\/\/www.sir.toscana.it\/."},{"key":"ref_56","unstructured":"Vlachogianni, T., Anastasopoulou, A., Fortibuoni, T., Ronchi, F., and Zeri, C. (2017). Marine Litter Assessment in the Adriatic and Ionian Seas, IPA-Adriatic DeFishGear Project."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.marpolbul.2014.06.025","article-title":"Floating debris in the Mediterranean Sea","volume":"86","author":"Suaria","year":"2014","journal-title":"Mar. Pollut. Bull."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/8\/1260\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:21:17Z","timestamp":1760361677000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/8\/1260"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,16]]},"references-count":57,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["rs12081260"],"URL":"https:\/\/doi.org\/10.3390\/rs12081260","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,16]]}}}