21
TITLE: Beach litter survey by drones: Mini-review and discussion of a potential standardization
AUTHORS: Goncalves, Gil; Andriolo, Umberto; Goncalves, Luisa M. S.; Sobral, Paula; Bessa, Filipa;
PUBLISHED: 2022, SOURCE: ENVIRONMENTAL POLLUTION, VOLUME: 315
INDEXED IN: WOS
22
TITLE: Data Acquisition in Cultural Heritage Buildings Using Non-destructive Techniques, and Its Gathering with BIM—The Case Study of the Gothic Monastery of Batalha in Portugal
AUTHORS: Francisco, C; Gonçalves, L; Gaspar, F; Rodrigues, H; Carracelas, MS; Luna, IP; Gonçalves, G; Providência, P;
PUBLISHED: 2021, SOURCE: Advances in Science, Technology and Innovation
INDEXED IN: Scopus CrossRef: 7 Handle
IN MY: ORCID
23
TITLE: 3d reconstruction of coastal cliffs from fixed‐wing and multi‐rotor uas: Impact of sfm‐mvs processing parameters, image redundancy and acquisition geometry
AUTHORS: Gonçalves, G; Gonçalves, D; Gómez‐gutiérrez, Á; Andriolo, U; Pérez‐alvárez, JA;
PUBLISHED: 2021, SOURCE: Remote Sensing, VOLUME: 13, ISSUE: 6
INDEXED IN: Scopus CrossRef: 36
IN MY: ORCID
24
TITLE: Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast
AUTHORS: Andriolo, U; Goncalves, G; Sobral, P; Bessa, F;
PUBLISHED: 2021, SOURCE: MARINE POLLUTION BULLETIN, VOLUME: 169
INDEXED IN: Scopus WOS CrossRef: 53
IN MY: ORCID
25
TITLE: Drones for litter mapping: An inter-operator concordance test in marking beached items on aerial images
AUTHORS: Andriolo, U; Goncalves, G; Rangel Buitrago, N; Paterni, M; Bessa, F; Goncalves, LMS; Sobral, P; Bini, M; Duarte, D; Fontan Bouzas, A; Goncalves, D; Kataoka, T; Luppichini, M; Pinto, L; Topouzelis, K; Velez Mendoza, A; Merlino, S;
PUBLISHED: 2021, SOURCE: MARINE POLLUTION BULLETIN, VOLUME: 169
INDEXED IN: Scopus WOS CrossRef: 37
IN MY: ORCID
26
TITLE: Detecting stranded macro-litter categories on drone orthophoto by a multi-class Neural Network
AUTHORS: Pinto, L; Andriolo, U; Goncalves, G;
PUBLISHED: 2021, SOURCE: MARINE POLLUTION BULLETIN, VOLUME: 169
INDEXED IN: WOS CrossRef: 28
IN MY: ORCID
27
TITLE: Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images
AUTHORS: Merlino, S; Paterni, M; Locritani, M; Andriolo, U; Goncalves, G; Massetti, L;
PUBLISHED: 2021, SOURCE: WATER, VOLUME: 13, ISSUE: 23
INDEXED IN: Scopus WOS CrossRef: 26
IN MY: ORCID
28
TITLE: On the use of drones to detect and map marine macro-litter on the North Atlantic Portuguese beach-dune systems: the experiences of UAS4Litter project
AUTHORS: Umberto Andriolo; Gil Gonçalves; Filipa Bessa; Paula Sobral; Luis Pinto; Diogo Duarte; Angela Fontán-Bouzas; Luisa Gonçalves;
PUBLISHED: 2021
INDEXED IN: CrossRef
IN MY: ORCID
29
TITLE: Current practices in UAS-based environmental monitoring
AUTHORS: Tmušić, G; Manfreda, S; Aasen, H; James, MR; Gonçalves, G; Ben Dor, E; Brook, A; Polinova, M; Arranz, JJ; Mészáros, J; Zhuang, R; Johansen, K; Malbeteau, Y; de Lima, IP; Davids, C; Herban, S; McCabe, MF;
PUBLISHED: 2020, SOURCE: Remote Sensing, VOLUME: 12, ISSUE: 6
INDEXED IN: Scopus CrossRef: 147
IN MY: ORCID
30
TITLE: Mapping marine litter with Unmanned Aerial Systems: A showcase comparison among manual image screening and machine learning techniques
AUTHORS: Gonçalves, G; Andriolo, U; Pinto, L; Duarte, D;
PUBLISHED: 2020, SOURCE: Marine Pollution Bulletin, VOLUME: 155
INDEXED IN: Scopus CrossRef: 51
IN MY: ORCID
Page 3 of 7. Total results: 69.