Classification Methods For Inland Excess Water Modeling | 12098
Journal of Earth Science & Climatic Change
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nland excess water flooding is a common problem in the Carpathian Basin. Nearly every year large areas are covered by water
due to lack of natural run off of superfluous water. This phenomenon where water remains temporary in local depression is
called inland excess water. Inland excess water damages crops, obstructs agricultural activities and local transportation, leads to
soil and groundwater contamination and deterioration of the soil quality in the long term. In the border region of Hungary and
Serbia, the natural circumstances are such that the area is vulnerable to inland excess water. To study the development of this
phenomenon it is necessary to determine where these inundations are occurring. This research evaluates different methods to
classify inland excess water occurrences on a study area covering south-eastern Hungary and northern Serbia. Three separate
methods are used to determine their applicability to the problem. The methods use the same input data set but differ in approach
and complexity. The input data set consists of a mosaic of RapidEye medium resolution satellite images. This study uses (semi-)
automatic classification methods to determine the occurrences of inland excess water based on satellite images. The results of the
classifications show that all three methods can be applied to the problem and provide high quality satellite based inland excess
water maps over a large area.
J?zsef Szatm?ri has completed his Ph.D. in 2006 from University of Szeged and his postgraduate engineering studies from Technical University of
Budapest in 2007. He is Assistant Professor of Applied Geoinformatics Laboratory of USZ. He has published more than 15 papers in reputed journals.
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