A Methodology for Detecting Existing and Potential Hydrographic Features

Natalia Janczewska, Magdalena Matysik (), Damian Absalon, Andrzej Woźnica, Marcin Lipowczan, Łukasz Pieron, Barbara Kalinowska-Wójcik, Wanda Jarosz, Witold Mandrysz, Magdalena Biela and Edyta Sierka
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Natalia Janczewska: University of Silesia, Faculty of Natural Science, Institute of Earth Science
Magdalena Matysik: University of Silesia, Faculty of Natural Science, Institute of Earth Science
Damian Absalon: University of Silesia, Faculty of Natural Science, Institute of Earth Science
Andrzej Woźnica: University of Silesia in Katowice, Silesian Water Centre, Faculty of Natural Sciences
Marcin Lipowczan: University of Silesia in Katowice, Silesian Water Centre, Faculty of Natural Sciences
Łukasz Pieron: National Water Management Authority, State Water Holding Polish Waters
Barbara Kalinowska-Wójcik: University of Silesia, Faculty of Humanities, Institute of History
Wanda Jarosz: Institute for Ecology of Industrial Areas
Witold Mandrysz: University of Silesia, Institute of Sociology, Faculty of Social Sciences
Magdalena Biela: University of Silesia in Katowice, Doctoral School
Edyta Sierka: University of Silesia in Katowice, Silesian Water Centre, Faculty of Natural Sciences

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2025, vol. 39, issue 15, No 5, 7955-7968

Abstract: Abstract In the digital age, spatial databases are the main source of information on the hydrographic network. However, the main challenge remains the need for frequent updates alongside the accurate presentation of current and potential coverage. Modern geo-information tools based on the processing of remotely sensed materials allow precise modeling of places where reservoirs historically occurred or are predisposed to form. The restoration of reservoirs is significant in the context of flood protection, the improvement of retention conditions, and the development of blue-green infrastructure. It is also much more economically viable than preparing sites for new construction. The missing element in the systematic use of the aforementioned materials and tools for these purposes is methodology. For this reason, in this article, based on images and a point cloud acquired during a photogrammetric aerial flight, five methods are tested, and the most effective method is identified, depending on the intended application.

Keywords: Lakes; Rivers; Remote sensing; LiDAR; NDWI; Pixel classification (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11269-025-04324-1

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