No abstract

In this paper, modern definition of island established by the IHO has been accepted, and classification of islands, islets, rocks and rocks awash has been proposed according to their areas. The coastline of the Croatian part of the Adriatic Sea was digitized from topographic maps produced at the scale of 1 : 25 000 (TM 25). Topographic maps used for digitization are more precise than the maps that were used in earlier works and consequently the data on the number of islands and their coastline lengths and areas are more precise. Polygons of islands were closed in GIS package AutoCAD Map 2000, and each was given its name. From the obtained database and classification of islands, islets and rocks, in the coastal sea area of the Republic of Croatia 79 islands, 525 islets, and 642 rocks and rocks awash, or a total of 1246 have been recorded. Furthermore, it has been established that on TM 25 the island of Cres has the largest area (405.70 km2), although in literature so far (including atlases) the island of Krk was most often cited as the largest island in the Adriatic Sea. The island of Pag has the longest coastline length of 302.47 km.

Satellite Derived Bathymetry (SDB) method uses satellite or other remote multispectral imagery for depth determination in very shallow coastal areas with clear waters. Commonly, SDB survey method can be used when planning hydrographic surveying of marine areas not surveyed or areas with old bathymetric data. This method has become widely used in the past few years. SDB is a survey method founded on analytical modelling of light penetration through the water column in visible and infrared bands. In this article, SDB method was applied by using freeof-charge Landsat 8 and Sentinel 2 satellite images to get the bathymetric data in the area of Hramina Bay in the Central Adriatic. SDB processing procedures and algorithms were described. Processed satellite data was uploaded on geodetic software and ENC S-57 format. The bathymetric map of Hramina Bay obtained by the SDB method was compared with the approach usage band Electronic Nautical Chart (ENC) HR400512 with satisfying positional and vertical accuracy.

This article will present technoEog?i for the production of Electronic Navigational Charts (ENC) in the Hydrographic institute of the Republic of Croatia (HIRC). current conditions of producing ENC cells and comparison with international experiences. ENC database together with GPS and onboard sensors make upElectronic Chart Display and Information System (ECDIS) -navigational GIs. The purpose of ENC and ECDIS is improvement of navigational safety and protection of marine environment. HiRC is participant of the international pilot project "North Adriatic Virtual Regional Electronic Nautical Chart" (VIIENC)), deals with standardization in production and distribution of ENCs covering the area of the North Adriatic Sea. In international relations HIRC has a rather satisfiing ENC production..

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.