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Pregled bibliografske jedinice broj: 1256898

Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis


Duplančić Leder, Tea; Baučić, Martina; Leder, Nenad; Gilić, Frane
Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis // Remote sensing, 15 (2023), 5; 1-25 doi:10.3390/rs15051294 (međunarodna recenzija, pregledni rad, znanstveni)


CROSBI ID: 1256898 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis

Autori
Duplančić Leder, Tea ; Baučić, Martina ; Leder, Nenad ; Gilić, Frane

Izvornik
Remote sensing (2072-4292) 15 (2023), 5; 1-25

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni

Ključne riječi
satellite imagery ; satellite-derived bathymetry ; coastal bathymetry ; bibliometric analysis

Sažetak
A technical and scientific overview regarding satellite-derived bathymetry (SDB)—one of the most promising and relatively cheap methods of shallow water depth determination—is presented. The main goal of the article is to present information about the possibilities of the SDB method to meet the demanding standard of bathymetric measurements in coastal mapping areas up to 20 m deep, i.e., up to depth areas where the largest number of ports and access waterways are located, as obtained using the bibliometric analysis. The Web of Science (WoS) and Scopus scientific databases, as well as R studio applications Bibliometrix and Biblioshiny, were used for scientific analysis. The bibliometric analysis presents the quantitative aspects of producing and disseminating scientific and professional articles with SDB as their topic. Therefore, the purpose of this study was to give the academic community an insight into the current knowledge about the SDB method, its achievements and shortcomings. The results of the bibliometric analysis of articles dealing with SDB show that most authors use empirical statistical methods. However, in recent years, articles using automated artificial intelligence methods have prevailed, especially the machine learning method. It is concluded that SDB data can become a very important low-cost source of bathymetric data in shallow coastal areas. Satellite methods have been proven to be very effective in very shallow coastal areas (up to a depth of about 20 m), and their biggest advantage is that the depth data obtained in this way are relatively low cost, while major limitations are associated with the parameters that determine the properties of the atmosphere and water column (clear atmosphere and water column) and bottom material. Procedures for different bathymetric applications are being developed. Regardless of the significant progress of the SDB method, which was manifested in the development of sensors and processing methods, its results still do not meet the International Hydrographic Organization (IHO) Standards for Hydrographic Surveys S-44.

Izvorni jezik
Engleski

Znanstvena područja
Geofizika, Geodezija, Tehnologija prometa i transport



POVEZANOST RADA


Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split,
Pomorski fakultet, Split

Citiraj ovu publikaciju:

Duplančić Leder, Tea; Baučić, Martina; Leder, Nenad; Gilić, Frane
Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis // Remote sensing, 15 (2023), 5; 1-25 doi:10.3390/rs15051294 (međunarodna recenzija, pregledni rad, znanstveni)
Duplančić Leder, T., Baučić, M., Leder, N. & Gilić, F. (2023) Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis. Remote sensing, 15 (5), 1-25 doi:10.3390/rs15051294.
@article{article, author = {Duplan\v{c}i\'{c} Leder, Tea and Bau\v{c}i\'{c}, Martina and Leder, Nenad and Gili\'{c}, Frane}, year = {2023}, pages = {1-25}, DOI = {10.3390/rs15051294}, keywords = {satellite imagery, satellite-derived bathymetry, coastal bathymetry, bibliometric analysis}, journal = {Remote sensing}, doi = {10.3390/rs15051294}, volume = {15}, number = {5}, issn = {2072-4292}, title = {Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis}, keyword = {satellite imagery, satellite-derived bathymetry, coastal bathymetry, bibliometric analysis} }
@article{article, author = {Duplan\v{c}i\'{c} Leder, Tea and Bau\v{c}i\'{c}, Martina and Leder, Nenad and Gili\'{c}, Frane}, year = {2023}, pages = {1-25}, DOI = {10.3390/rs15051294}, keywords = {satellite imagery, satellite-derived bathymetry, coastal bathymetry, bibliometric analysis}, journal = {Remote sensing}, doi = {10.3390/rs15051294}, volume = {15}, number = {5}, issn = {2072-4292}, title = {Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis}, keyword = {satellite imagery, satellite-derived bathymetry, coastal bathymetry, bibliometric analysis} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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