Identification of Emergent and Floating Aquatic Vegetation Using an Unsupervised Thresholding Approach: A Case Study of the Dniester Delta in Ukraine

Ioannis Manakos, Eleftherios Katsikis, Sergiy Medinets, Yevgen Gazyetov, Leonidas Alagialoglou, Volodymyr Medinets

2023

Abstract

Monitoring of emergent and floating vegetation in freshwater ecosystems is of high importance for water management in an area. This study proposes a methodology for the automatic monitoring of aquatic vegetation using indicators estimated via remote sensing image analysis. The study area is located in the Lower Dniester Basin in Southern Ukraine. The approach is developed using Sentinel-2 images and validated with field measurements. The goal is to discriminate and map three classes of aquatic surface condition; namely, areas covered with floating vegetation, or dominated by emergent vegetation, and open water. The approach is transferable across different dates over a period of three years. Results are useful for governmental authorities and natural/ national park administrations for near real-time monitoring of aquatic vegetation to mitigate the impact of overgrowth on water quality, biodiversity, and ecosystem services.

Paper Citation

in Harvard Style

Manakos I., Katsikis E., Medinets S., Gazyetov Y., Alagialoglou L. and Medinets V. (2023). Identification of Emergent and Floating Aquatic Vegetation Using an Unsupervised Thresholding Approach: A Case Study of the Dniester Delta in Ukraine. In Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-649-1, SciTePress, pages 98-103. DOI: 10.5220/0012024000003473

in Bibtex Style

@conference{gistam23,
author={Ioannis Manakos and Eleftherios Katsikis and Sergiy Medinets and Yevgen Gazyetov and Leonidas Alagialoglou and Volodymyr Medinets},
title={Identification of Emergent and Floating Aquatic Vegetation Using an Unsupervised Thresholding Approach: A Case Study of the Dniester Delta in Ukraine},
booktitle={Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2023},
pages={98-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012024000003473},
isbn={978-989-758-649-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Identification of Emergent and Floating Aquatic Vegetation Using an Unsupervised Thresholding Approach: A Case Study of the Dniester Delta in Ukraine
SN - 978-989-758-649-1
AU - Manakos I.
AU - Katsikis E.
AU - Medinets S.
AU - Gazyetov Y.
AU - Alagialoglou L.
AU - Medinets V.
PY - 2023
SP - 98
EP - 103
DO - 10.5220/0012024000003473
PB - SciTePress