6 September 2017 Including granulometric sediment coastal data composition into the Black Sea GIS
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Proceedings Volume 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017); 104440G (2017) https://doi.org/10.1117/12.2279083
Event: Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 2017, Paphos, Cyprus
Abstract
The module structure of the Black Sea GIS allows the increasing of its functionality, including new data types and defining new procedures accessing them, their visualization and integration with existing data by their conjoint processing and representation. The Black Sea GIS is released as free software; Mapserver is used as a mapping service; MySQL DBMS works with relational data. A new additional feature provided, is the ability of including coastal data obtained in SB SIO RAS. The data represent granulometric composition of the Anapa bay-bar sediments. The Anapa bay-bar is an accumulative sand form (about 50 km long) located on the northwest Russian Black Sea coast. The entire bay-bar and especially its southern part with sand beaches 50–200 m wide is intensively used in recreation. This work is based on the results of field studies of 2010–2014 in the southern part of the Anapa bay-bar researched by scientists of the Shirshov Institute of Oceanology RAS. Since the shore under consideration has no clearly pronounced reference points, “virtual” points located within 1 km distance from each other were selected. Transversal profiles cross these points. The granulometric composition was studied along with 45 profiles. The samples taken in every profile were from the most characteristic morphological parts of the beach. In this study we used shoreline zone samples. Twenty one granule fractions (mm) were separated in the laboratory. The module which processes coastal data allows to select coastal data based on territory/region and granulometric sediment composition. Also, it allows to visualize coastal maps with user-selected features combined with other GIS data.
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Elena Zhuk, Elena Zhuk, Alexey Khaliulin, Alexey Khaliulin, Marina Krylenko, Marina Krylenko, Viacheslav Krylenko, Viacheslav Krylenko, George Zodiatis, George Zodiatis, Marios Nikolaidis, Marios Nikolaidis, Andreas Nikolaidis, Andreas Nikolaidis, } "Including granulometric sediment coastal data composition into the Black Sea GIS", Proc. SPIE 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 104440G (6 September 2017); doi: 10.1117/12.2279083; https://doi.org/10.1117/12.2279083
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