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Sentinel-1 and -2 Based near Real Time Inland Excess Water Mapping for Optimized Water Management

Author

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  • Boudewijn van Leeuwen

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem u. 2-6, H-6722 Szeged, Hungary)

  • Zalán Tobak

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem u. 2-6, H-6722 Szeged, Hungary)

  • Ferenc Kovács

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem u. 2-6, H-6722 Szeged, Hungary)

Abstract

Changing climate is expected to cause more extreme weather patterns in many parts of the world. In the Carpathian Basin, it is expected that the frequency of intensive precipitation will increase causing inland excess water (IEW) in parts of the plains more frequently, while currently the phenomenon already causes great damage. This research presents and validates a new methodology to determine the extent of these floods using a combination of passive and active remote sensing data. The method can be used to monitor IEW over large areas in a fully automated way based on freely available Sentinel-1 and Sentinel-2 remote sensing imagery. The method is validated for two IEW periods in 2016 and 2018 using high-resolution optical satellite data and aerial photographs. Compared to earlier remote sensing data-based methods, our method can be applied under unfavorite weather conditions, does not need human interaction and gives accurate results for inundations larger than 1000 m 2 . The overall accuracy of the classification exceeds 99%; however, smaller IEW patches are underestimated due to the spatial resolution of the input data. Knowledge on the location and duration of the inundations helps to take operational measures against the water but is also required to determine the possibilities for storage of water for dry periods. The frequent monitoring of the floods supports sustainable water management in the area better than the methods currently employed.

Suggested Citation

  • Boudewijn van Leeuwen & Zalán Tobak & Ferenc Kovács, 2020. "Sentinel-1 and -2 Based near Real Time Inland Excess Water Mapping for Optimized Water Management," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2854-:d:341262
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    References listed on IDEAS

    as
    1. László Pásztor & János Körösparti & Csaba Bozán & Annamária Laborczi & Katalin Takács, 2015. "Spatial risk assessment of hydrological extremities: Inland excess water hazard, Szabolcs-Szatmár-Bereg County, Hungary," Journal of Maps, Taylor & Francis Journals, vol. 11(4), pages 636-644, July.
    2. Nicola Clerici & Cesar Augusto Valbuena Calderón & Juan Manuel Posada, 2017. "Fusion of Sentinel-1A and Sentinel-2A data for land cover mapping: a case study in the lower Magdalena region, Colombia," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 718-726, November.
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