Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis
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 dema...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/5/1294 |
| _version_ | 1797614475642142720 |
|---|---|
| author | Tea Duplančić Leder Martina Baučić Nenad Leder Frane Gilić |
| author_facet | Tea Duplančić Leder Martina Baučić Nenad Leder Frane Gilić |
| author_sort | Tea Duplančić Leder |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T07:12:33Z |
| format | Article |
| id | doaj.art-db3389d28c864c1c97acca073d9bfb26 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T07:12:33Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-db3389d28c864c1c97acca073d9bfb262023-11-17T08:31:05ZengMDPI AGRemote Sensing2072-42922023-02-01155129410.3390/rs15051294Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric AnalysisTea Duplančić Leder0Martina Baučić1Nenad Leder2Frane Gilić3Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice Hrvatske 15, 21000 Split, CroatiaFaculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice Hrvatske 15, 21000 Split, CroatiaFaculty of Maritime Studies, University of Split, Ruđera Boškovića 37, 21000 Split, CroatiaFaculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice Hrvatske 15, 21000 Split, CroatiaA 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.https://www.mdpi.com/2072-4292/15/5/1294satellite imagerysatellite-derived bathymetrycoastal bathymetrybibliometric analysis |
| spellingShingle | Tea Duplančić Leder Martina Baučić Nenad Leder Frane Gilić Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis Remote Sensing satellite imagery satellite-derived bathymetry coastal bathymetry bibliometric analysis |
| title | Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis |
| title_full | Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis |
| title_fullStr | Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis |
| title_full_unstemmed | Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis |
| title_short | Optical Satellite-Derived Bathymetry: An Overview and WoS and Scopus Bibliometric Analysis |
| title_sort | optical satellite derived bathymetry an overview and wos and scopus bibliometric analysis |
| topic | satellite imagery satellite-derived bathymetry coastal bathymetry bibliometric analysis |
| url | https://www.mdpi.com/2072-4292/15/5/1294 |
| work_keys_str_mv | AT teaduplancicleder opticalsatellitederivedbathymetryanoverviewandwosandscopusbibliometricanalysis AT martinabaucic opticalsatellitederivedbathymetryanoverviewandwosandscopusbibliometricanalysis AT nenadleder opticalsatellitederivedbathymetryanoverviewandwosandscopusbibliometricanalysis AT franegilic opticalsatellitederivedbathymetryanoverviewandwosandscopusbibliometricanalysis |