материалы конференции

En

Proceedings of SPIE - The International Society for Optical Engineering. 9th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023 Ayia Napa 3 April 2023 до 5 April 2023

ISSN:0277786

2023

10.1117/12.2683109

The work addresses the design and techniques that can be used to build oceanographic databases with web interfaces. The Black Sea and the EastMedAtlas databases are used as examples to explain these concepts. The client-server architecture used in the development of the online data access system allows it to collect a variety of oceanographic data types, including timeseries, CTD profiles, thematic climatological maps, Sea Surface Temperature (SST), Sea Level (SLA), and in-situ and satellite remote sensing oceanographic data. The system supports the storage, access, visualization, and overlay of different types of oceanographic data. Relational databases are frequently used to store in-situ data. The system's ability to provide map service is one of its main features. It was decided to use mapbox GL for the Black Sea GIS. The jqPlot library was used to create the time series access and visualization module, which allows users to choose time intervals and parameters as well as visualize the results on a plot. Thematic climatic maps and satellite remote sensing images of the Black Sea are also presented in geoTiff format, which provides the possibility to adjust the color bars and view the data values for the related parameters. The satellite remote sensing data for SST and SLA were obtained from the Copernicus marine service portal for the periods 1981-2021 (SST) and 1993-2021 (SLA), respectively. Both satellite remote sensing parameters were preprocessed and archived in geoTiff format.

Black Sea, GIS, oceanographic database, remote sensing satellite images, time series

2023-11-15 12:11:55