Assessment of monitoring and security on the Black Sea coast by remote sensing and open data

Abstract

Interoperability of data from different sources is the main purpose of this study. The survey covers the waters of the Black Sea in Bulgaria. Our country has a maritime border of 378 km, of strategic importance and is close to military conflicts (e.g. Ukraine). The use of different satellite and in situ data in hybrid models makes it possible to obtain much more information from one point or area of interest. Different satellite data have been used, which are collated with registers of open and spatial data from the Bulgarian Open Data Portal. Much of the ground information is extremely rich in detailed information on the chemical, environmental and climate status of the specific point or area of interest. The survey uses Copernicus data, Landsat, the Open Data Portal, the Black Sea Basin Directorate and Innovative Techniques and Methods for Reducing Marine Litter in the Black Sea Coastal Areas -(BSB552 RedMarLitter and etc. These interoperable data will be useful for coastal protection and security, environmental monitoring and adequate decisionmaking in the administration, business and various other groups of data users. The methodology aims to support work on Digital Twins of the Earth. Information from so many sources will at one point lead to a much more effective and efficient management of territories in the event of environmental disasters (e.g. plastic and oil pollution), various military conflicts and their consequences, as well as annual monitoring of tourist areas and many others.

Change detection techniques for urban area disaster assessment using high resolution satellite data

“…Using the above-mentioned data (Table 1 and Figure 3) and mathematical expressions, a study was conducted to assess the adequacy of the selected PBCD techniques for urban area disaster consequences assessment. The study was executed using MATLAB by developing the GUI, algorithms and corresponding source code for reading, image processing and mixing the satellite image (as a background) and the PBCD index mask showing the locations and areas with changes detected [6,8,10,12,14,16,18]. Table 3 shows the summary of the survey final results expressed in square kilometers and ratio to gain a more realistic assessment of the performance of the tested techniques.…”