Marine litter (ML) is recognized as one of the main socio-economic and environmental concerns and monitoring operations have been realized worldwide in order to collect information on the types, quantities and distribution of marine debris. In this study, we used Unmanned Aerial Vehicle (UAV) images to map the presence of ML on a coastal spit in relation to geomorphological aspects and vegetation. Our results show that ML is present everywhere, but concentrates in the beach wrack, dunes, and saltmarshes, highlighting the role of the vegetation in trapping ML. Moreover, ML will most probably remain trapped by the saltmarsh vegetation, since they are not visible and easily accessible to allow cleaning operations. On the contrary, cleaning operations may remove the ML present in the beach wrack. Finally, our results provide useful information to support decision-makers for improving beach cleaning activities in the Po river Delta areas (Italy).

Understanding through drone image analysis the interactions between geomorphology, vegetation and marine debris along a sandy spit

Corinne Corbau
Primo
;
joana Buoninsegni
Secondo
;
Elisabetta Olivo;Carmela Vaccaro;Umberto Simeoni
Ultimo
2023

Abstract

Marine litter (ML) is recognized as one of the main socio-economic and environmental concerns and monitoring operations have been realized worldwide in order to collect information on the types, quantities and distribution of marine debris. In this study, we used Unmanned Aerial Vehicle (UAV) images to map the presence of ML on a coastal spit in relation to geomorphological aspects and vegetation. Our results show that ML is present everywhere, but concentrates in the beach wrack, dunes, and saltmarshes, highlighting the role of the vegetation in trapping ML. Moreover, ML will most probably remain trapped by the saltmarsh vegetation, since they are not visible and easily accessible to allow cleaning operations. On the contrary, cleaning operations may remove the ML present in the beach wrack. Finally, our results provide useful information to support decision-makers for improving beach cleaning activities in the Po river Delta areas (Italy).
2023
Corbau, Corinne; Buoninsegni, Joana; Olivo, Elisabetta; Vaccaro, Carmela; Nardin, William; Simeoni, Umberto
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0025326X22011973-main.pdf

solo gestori archivio

Descrizione: versione editoriale
Tipologia: Full text (versione editoriale)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 7.56 MB
Formato Adobe PDF
7.56 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
3-Understanding through drone image analysis .pdf

accesso aperto

Descrizione: Pre-print
Tipologia: Pre-print
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 2.54 MB
Formato Adobe PDF
2.54 MB Adobe PDF Visualizza/Apri

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2500498
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 14
social impact