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Vol. 256, Issue 2, March 2022, pp. 12-18




Symmetry-based Method for Water Level Prediction using Sentinel 2 Data

1, * David JESENKO, 2 Lukáš HRUDA, 2 Ivana KOLINGEROVÁ, 1 Borut ŽALIK and 1 David PODGORELEC

1 University of Maribor, Faculty of Electrical Engineering and Computer Science, Koroška cesta 46, SI-2000 Maribor, Slovenia
2 University of West Bohemia, Faculty of Applied Sciences, Department of Computer Science and Engineering, Technická 8, 301 00, Plzeň, Czech Republic
* Tel.: +386-2-220-7476, fax: +386-2-220-7272

* E-mail: david.jesenko@um.si


Received: 31 January 2022 /Accepted: 1 March 2022 /Published: 31 March 2022



Abstract: The Sentinel satellite constellation series, developed and operated by the European Space Agency, represents a dedicated space component of the European Copernicus Programme, committed to long-term operational services in the environment, climate and security. A huge amount of acquired data allow us different surveys. The paper considers the detection of changes in water levels in Lake Cerknica. The multispectral index has been calculated from Sentinel-2 data and transformed to a 3D point cloud. As shown by the results, symmetry measures of 3D point clouds could be used for the detection of water levels. Prediction functions using a genetic algorithm have been fitted, and the best result achieved was RMSE = 0.9824.


Keywords: Sentinel-2, Lake Cerknica, Remote sensing, Water monitoring, Symmetry, Symmetry measure, Genetic algorithm.


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