Mapping the Anapa bay bar geosystems on the basis of satellite remote sensing and ground data

Valentina I. Kravtsova; Olga V. Tutubalina; Vyacheslav V. Krylenko; Marina V. Krylenko; Ekaterina R. Chalova

doi:10.1117/12.2193682

19 June 2015 Mapping the Anapa bay bar geosystems on the basis of satellite remote sensing and ground data

Valentina I. Kravtsova, Olga V. Tutubalina, Vyacheslav V. Krylenko, Marina V. Krylenko, Ekaterina R. Chalova

Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 95351X (2015) https://doi.org/10.1117/12.2193682
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus

Abstract

Our study is focused on the Anapa Bay Bar, a 43-km long body of sand on the Black Sea coast, which stretches from the Russian town of Anapa to the Zhelezny Rog Cape on the Taman’ peninsula. It is a major recreational resource and a host to unique ecosystems of beaches and partially vegetated sand dunes. Due to large recreational pressure, it is important to identify features of the bay bar that have to be preserved in order to keep this resource sustainable. We have conducted landscape and morphological mapping with WorldView-2 images. Methods included field research, analysis of multitemporal stereopairs and automated image interpretation to create maps of key areas of the Anapa Bay Bar. In our paper we showcase the map for a section of the Anapa Bay Bar created through visual image interpretation. It presents all morphological elements such as beaches, sand dunes, sand ridges and lowlands adjoining lagoons. Each element has its specific vegetation and sustainability against recreational pressure. We also present results of automated image analysis of seasonal dynamics of the beach and dunes on the basis of multitemporal imagery.

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Valentina I. Kravtsova, Olga V. Tutubalina, Vyacheslav V. Krylenko, Marina V. Krylenko, and Ekaterina R. Chalova "Mapping the Anapa bay bar geosystems on the basis of satellite remote sensing and ground data", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95351X (19 June 2015); https://doi.org/10.1117/12.2193682

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