{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T08:33:20Z","timestamp":1766306000216,"version":"3.48.0"},"reference-count":23,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:00:00Z","timestamp":1759363200000},"content-version":"vor","delay-in-days":274,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001114","name":"Endocrine Society of Australia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001114","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["4000141234\/23\/NL\/GLC\/ov"],"award-info":[{"award-number":["4000141234\/23\/NL\/GLC\/ov"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/j.procs.2025.10.004","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T22:15:25Z","timestamp":1762467325000},"page":"5370-5380","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Applying AI for Improved Detection of Debris in Dumpsites and Floating Matter via Spatio-Temporal Fusion of Sentinel-2 and PlanetScope Satellite Data"],"prefix":"10.1016","volume":"270","author":[{"given":"Nicola","family":"Nicastro","sequence":"first","affiliation":[]},{"given":"Nicol\u00f2","family":"Taggio","sequence":"additional","affiliation":[]},{"given":"Giulio","family":"Ceriola","sequence":"additional","affiliation":[]},{"given":"Maria","family":"Kremezi","sequence":"additional","affiliation":[]},{"given":"Vassilia","family":"Karathanassi","sequence":"additional","affiliation":[]},{"given":"Antonello","family":"Aiello","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.procs.2025.10.004_bib1","doi-asserted-by":"crossref","unstructured":"Strokal, Marina, Bai, Zhaohai, Franssen Wietse, Hofstra, Nynke, Koelmans, Albert A., Ludwig, Fulco, Ma, Lin, van Puijenbroek, Peter Spanier,, J. Emiel, Vermeulen, Lucie C., van Vliet, Michelle T. H., van Wijnen Jikke and Kroeze, Carolien. (2021)\u201cUrbanisation: an increasing source of multiple pollutants to rivers in the 21st century.\u201d \u202fUrban Sustainability. 24 (1).\u202f","DOI":"10.1038\/s42949-021-00026-w"},{"key":"10.1016\/j.procs.2025.10.004_bib2","unstructured":"Hannah Ritchie. (2021) \u201cWhere does the plastic in our oceans come from?\u201d Published online at OurWorldInData.org. Retrieved from: \u2018https:\/\/ourworldindata.org\/ocean-plastics\u2019;"},{"key":"10.1016\/j.procs.2025.10.004_bib3","doi-asserted-by":"crossref","unstructured":"Taggio, Nicol\u00f2, Aiello, Antonello, Ceriola, Giulio, Kremezi, Maria, Kristollari, Viktoria, Kolokoussis, Polychronis, Karathanassi, Vassilia, and Barbone Enrico. (2022) \u201cA Combination of Machine Learning Algorithms for Marine Plastic Litter Detection Exploiting Hyperspectral PRISMA Data.\u201d Remote Sensing 15 (14): 3606. https:\/\/doi.org\/10.3390\/rs14153606.\u202f","DOI":"10.3390\/rs14153606"},{"key":"10.1016\/j.procs.2025.10.004_bib4","doi-asserted-by":"crossref","unstructured":"Lebreton, Laurent, C., van der Zwet, Joost, Damsteeg, Jan-Willem, Slat, Boyan, Andrady, Anthony, and Reisse, Julia. (2017) \u201cRiver plastic emissions to the world\u2019s oceans.\u201d Nature Communications\u202f8 (1):\u202f15611. Doi: 10.1038\/ncomms15611.\u202f","DOI":"10.1038\/ncomms15611"},{"key":"10.1016\/j.procs.2025.10.004_bib5","doi-asserted-by":"crossref","unstructured":"Lebreton, Laurent, and Andrady, Anthony. (2019) \u201cFuture scenarios of global plastic waste generation and disposal.\u201d\u202fPalgrave Communication.\u202f5 (1): 1\u201311 \u202f\u202f","DOI":"10.1057\/s41599-018-0212-7"},{"key":"10.1016\/j.procs.2025.10.004_bib6","doi-asserted-by":"crossref","unstructured":"Maria Kremezi a, Viktoria Kristollari a, Vassilia Karathanassi a, Konstantinos Topouzelis b, Pol Kolokoussis a, Nicol\u00f2 Taggio c, Antonello Aiello c, Giulio Ceriola c, Enrico Barbone d, Paolo Corradi. (2022). Increasing the Sentinel-2 potential for marine plastic litter monitoring through image fusion techniques.\u202fMarine pollution bulletin,\u202f182, 113974.\u202f","DOI":"10.1016\/j.marpolbul.2022.113974"},{"key":"10.1016\/j.procs.2025.10.004_bib7","unstructured":"Kremezi, M., Karathanassi, V., Taggio, N., Aiello, A., & Ceriola, G. (2025). Advancing spatio-temporal fusion with spectral super-resolution for enhancing remote sensing of marine debris and landfills. Remote Sensing Applications: Society and Environment, under review."},{"key":"10.1016\/j.procs.2025.10.004_bib8","unstructured":"https:\/\/www.oceanscan.org\/\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib9","unstructured":"https:\/\/emodnet.ec.europa.eu\/en\u202f\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib10","unstructured":"https:\/\/litterbase.awi.de\/\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib11","doi-asserted-by":"crossref","unstructured":"Kikaki, Katerina, et al. \u201cMARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data.\u201d PloS one 17.1 (2022): e0262247.\u202f\u202f","DOI":"10.1371\/journal.pone.0262247"},{"key":"10.1016\/j.procs.2025.10.004_bib12","unstructured":"https:\/\/globalplasticwatch.org\/\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib13","unstructured":"https:\/\/towardsdatascience.com\/introducing-a-very-high-resolution-dataset-of-landfills-and-waste-dumps-196d46d533fc\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib14","unstructured":"Mohammed, Azhan. \u201cResAttUNet: detecting marine debris using an attention activated residual UNet.\u201d arXiv preprint arXiv:2210.08506 (2022)\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib15","doi-asserted-by":"crossref","unstructured":"Kruse, C., Boyda, E., Chen, S., Karra, K., Bou-Nahra, T., Hammer, D., ... & Laurier, F. (2023). Satellite monitoring of terrestrial plastic waste.\u202fPloS one,\u202f18(1), e0278997\u202f","DOI":"10.1371\/journal.pone.0278997"},{"key":"10.1016\/j.procs.2025.10.004_bib16","unstructured":"https:\/\/github.com\/earthrise-media\/plastics\/\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib17","unstructured":"https:\/\/www.planet.com\/explorer\/\u202f\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib18","unstructured":"https:\/\/landsat.gsfc.nasa.gov\/satellites\/landsat-8\/landsat-8-bands\/\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib19","unstructured":"https:\/\/www.usgs.gov\/faqs\/what-are-band-designations-landsat-satellites\u202f\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib20","unstructured":"Reis, Dillon, et al. \u201cReal-time flying object detection with YOLOv8.\u201d arXiv preprint arXiv:2305.09972 (2023)\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib21","doi-asserted-by":"crossref","unstructured":"Breiman L (2001) Random forests. Mach Learn 45:5\u201332\u202f","DOI":"10.1023\/A:1010933404324"},{"key":"10.1016\/j.procs.2025.10.004_bib22","unstructured":"Ke, Guolin, et al. \u201cLightgbm: A highly efficient gradient boosting decision tree.\u201d\u202fAdvances in neural information processing systems\u202f30 (2017)\u202f"},{"key":"10.1016\/j.procs.2025.10.004_bib23","doi-asserted-by":"crossref","unstructured":"Friedman J, Hastie T, Tibshirani R, et al. (2000). \u201cAdditive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors).\u201d The annals of statistics, 28(2), 337\u2013407","DOI":"10.1214\/aos\/1016120463"}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S187705092503337X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S187705092503337X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T08:28:48Z","timestamp":1766305728000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S187705092503337X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":23,"alternative-id":["S187705092503337X"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2025.10.004","relation":{},"ISSN":["1877-0509"],"issn-type":[{"type":"print","value":"1877-0509"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Applying AI for Improved Detection of Debris in Dumpsites and Floating Matter via Spatio-Temporal Fusion of Sentinel-2 and PlanetScope Satellite Data","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2025.10.004","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}