alexa Classification Methods For Inland Excess Water Modeling | 12098
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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Classification methods for inland excess water modeling

2nd International Conference on Earth Science & Climate Change

J?zsef Szatm?ri, Boudewijn van Leeuwen, L?szl? Henits, Minucs?r M?sz?ros, Dragoslav Pavić2, Zal?n Tobak, Stevan Savić and Dragan Dolinaj

Posters: J Earth Sci Climate Change

DOI: 10.4172/2157-7617.S1.010

Abstract
I 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.
Biography
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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