NaturaSat computational tools for supporting hydrological modelling in environmental study and control

Authors

  • Michal Kollár Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia
  • Ivana Piačková Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia
  • Juraj Papčo Department of Theoretical Geodesy and Geoinformatics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia
  • Mária Šibíková Plant Science and Biodiversity Centre Institute of Botany, Slovak Academy of Sciences, Slovakia
  • Jozef Šibík Plant Science and Biodiversity Centre Institute of Botany, Slovak Academy of Sciences, Slovakia
  • Karol Mikula Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia

DOI:

https://doi.org/10.15837/ijccc.2025.2.7027

Keywords:

software, image processing, image segmentation, numerical methods, hydrological modelling, satellite data, Sentinel-1, Sentinel-2

Abstract

Wetlands, areas that are permanently or seasonally flooded or saturated with water, are among the most productive and biodiverse ecosystems on the planet. Their conservation, revitalization and health status monitoring require the hydrological modelling. We introduce the novel hydrological modelling tool in the NaturaSat software and show the useful workflows supporting environmental control and informed decisions. The tool is based on numerical solution of the Laplace equation with Dirichlet boundary conditions on a triangular grid using the complementary volume method. We present results for a case study of the Foráš Nature Reserve in Slovakia, in the alluvium of Danube River, demonstrating the practical application of developed methods. By comparing the solution with the Digital Terrain Model we study the waterlogging status of the most important wetland habitats in the area, and complement the results by analysis of Sentinel-1 radar satellite data and Sentinel-2 optical satellite data.

References

Algoritmy:SK, NaturaSat, Trial version, 2025. Available at: algoritmysk.eu

M. Ambroz, M. Balažovjech, M. Medľa, K. Mikula, Numerical modeling of wildland surface fire propagation by evolving surface curves, Advances in Computational Mathematics, vol. 15, pp. 1067-1103, 2019. Available at: link.springer.com. https://doi.org/10.1007/s10444-018-9650-4

M. Ambroz, M. Kollár, K. Mikula, Semi-implicit scheme for semi-automatic segmentation in NaturaSat software, Proceedings Of The Conference Algoritmy 2020, pp. 171 - 180, 2020. Available at: iam.fmph.uniba.sk.

CGAL Project, CGAL User and Reference Manual, CGAL Editorial Board, 6.0.1 edition, 2024. Available at: doc.cgal.org.

N. C. Davidson, How Much Wetland Has the World Lost? Long-Term and Recent Trends in Global Wetland Area, Marine and Freshwater Research, vol. 65, no. 10, pp. 934-941, 2014. https://doi.org/10.1071/MF14173

Digital Terrain Model 6.0, 2nd project cycle (2022 - 2026) and creation of DTM 6.0, Geodesy, Cartography and Cadastre Authority of the Slovak Republic (ÚGKK SR), 2024. Available at: web.archive.org.

Digital Terrain Model 6.0, Provision of ALS products, Geodesy, Cartography and Cadastre Authority of the Slovak Republic (ÚGKK SR), 2024. Available at: web.archive.org.

European Space Agency (ESA), Sentinel Application Platform (SNAP), version 11.0.0, 2025. Available at: step.esa.int.

European Space Agency (ESA), Space key to wetland conservation, https://www.esa. int/Applications/Observing_the_Earth/Space_key_to_wetland_conservation, Online; accessed February 2024.

European Space Agency (ESA), Copernicus Data Space Ecosystem, Available at: dataspace. copernicus.eu.

R. Eymard, T. Gallouët, R. Herbin, Finite volume methods, Handbook of Numerical Analysis, Solution of Equation in Rn (Part 3), Techniques of Scientific Computing (Part 3), vol. 7, pp. 713-1018, 2000. Available at: sciencedirect.com. https://doi.org/10.1016/S1570-8659(00)07005-8

F. Filipponi, Sentinel-1 GRD Preprocessing Workflow, Proceedings, vol. 18, no. 1, p. 11, 2019. Available at: mdpi.com. https://doi.org/10.3390/ECRS-3-06201

B.C. Gao, NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, vol. 58, is. 3, pp. 257-266, 1996. Available at: sciencedirect.com. https://doi.org/10.1016/S0034-4257(96)00067-3

K. Mikula, J. Urbán, M. Kollár, M. Ambroz, I. Jarolímek, J. Šibík, and M. Šibíková, Semiautomatic segmentation of NATURA 2000 habitats in Sentinel-2 satellite images by evolving open curves, Discrete and Continuous Dynamical Systems - S, vol. 14, no. 3, pp. 1033-1046, 2021. Available at: aimsciences.org. https://doi.org/10.3934/dcdss.2020231

K. Mikula, J. Urbán, M. Kollár, M. Ambroz, I. Jarolímek, J. Šibík, and M. Šibíková, An automated segmentation of NATURA 2000 habitats from Sentinel-2 optical data, Discrete and Continuous Dynamical Systems - S, vol. 14, no. 3, pp. 1017-1032, 2021. Available at: aimsciences.org. https://doi.org/10.3934/dcdss.2020348

K. Mikula, M. Šibíková, M. Ambroz, M. Kollár, A. A. Ožvat, J. Urbán, I. Jarolímek, and J. Šibík, NaturaSat-A software tool for identification, monitoring and evaluation of habitats by remote sensing techniques, Remote Sensing, vol. 13, no. 17, article no. 3381, 2021. Available at: mdpi.com. https://doi.org/10.3390/rs13173381

K. Mikula, M. Kollár, A. A. Ožvat, M. Ambroz, L. Čahojová, I. Jarolímek, J. Šibík, and M. Šibíková, Natural numerical networks for Natura 2000 habitats classification by satellite images, Applied Mathematical Modelling, vol. 116, pp. 209-235, 2023. Available at: sciencedirect.com. https://doi.org/10.1016/j.apm.2022.11.021

K. Mikula, M. Kollár, A. A. Ožvat, M. Šibíková, and L. Čahojová, Natural numerical networks on directed graphs in satellite image classification, in Scale Space and Variational Methods in Computer Vision, L. Calatroni, M. Donatelli, S. Morigi, M. Prato, and M. Santacesaria, Eds., Springer International Publishing, Cham, 2023, pp. 339-351. ISBN: 978-3-031-31975-4. Available at: springer.com. https://doi.org/10.1007/978-3-031-31975-4_26

K. Mikula, M. Ambroz, and R. Mokošová, What was the river Ister in the time of Strabo? A mathematical approach, Tatra Mountains Mathematical Publications, vol. 80, issue. 3, 2021. Available at: mat.savba.sk. https://doi.org/10.2478/tmmp-2021-0032

K. Mikula, D. Ševčovič A direct method for solving an anisotropic mean curvature flow of plane curves with an external force, Mathematical Methods in the Applied Sciences, vol. 27, no. 13, pp. 1545-1565, 2004. Available at: onlinelibrary.wiley.com. https://doi.org/10.1002/mma.514

OpenStreetMap contributors, Planet dump retrieved from https://planet.osm.org, Available at: openstreetmap.org, 2024.

Sentinel-1 Team, Sentinel-1 User Handbook, European Space Agency (ESA), Issue 1, Revision 0, 2013. GMES-S1OP-EOPG-TN-13-0001. Available at: sentinel.esa.int

Sentinel-2 Team, Sentinel-2 User Handbook, European Space Agency (ESA), Issue 1, Revision 2, 2015. Available at: sentinel.esa.int

The historical map of the First Military Survey, Spatial Data Registry, Ministry of the Environment of the Slovak Republic, 2024. Available at: rpi.gov.sk/en/.

The historical map of the Second Military Surveys, Spatial Data Registry, Ministry of the Environment of the Slovak Republic, 2024. Available at: rpi.gov.sk/en/.

The historical map of the Third Military Surveys, Spatial Data Registry, Ministry of the Environment of the Slovak Republic, 2024. Available at: rpi.gov.sk/en/.

Additional Files

Published

2025-03-01

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.