Classification Methods for Inland Excess Water Modeling
Inland excess water floodings are a common problem in the Carpathian Basin. Nearly every year large areas are covered by water due to lack of natural runoff of superfluous water. To study the development of this phenomenon it is necessary to determine where these inundations are occurring. This rese...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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University of Szeged
2013-04-01
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| Series: | Journal of Environmental Geography |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/v10326-012-0001-5 |
| _version_ | 1828296558195507200 |
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| author | Leeuwen Boudewijn van Henits László Mészáros Minucsér Tobak Zalán Szatmári József Pavić Dragoslav Savić Stevan Dolinaj Dragan |
| author_facet | Leeuwen Boudewijn van Henits László Mészáros Minucsér Tobak Zalán Szatmári József Pavić Dragoslav Savić Stevan Dolinaj Dragan |
| author_sort | Leeuwen Boudewijn van |
| collection | DOAJ |
| description | Inland excess water floodings are a common problem in the Carpathian Basin. Nearly every year large areas are covered by water due to lack of natural runoff of superfluous 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-east Hungary and northern Serbia. The region is susceptible to this type of flooding due to its geographical circumstances. 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. 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. |
| first_indexed | 2024-04-13T12:12:38Z |
| format | Article |
| id | doaj.art-4eb519ea1bd7483296c674db896f41b5 |
| institution | Directory Open Access Journal |
| issn | 2060-467X |
| language | English |
| last_indexed | 2024-04-13T12:12:38Z |
| publishDate | 2013-04-01 |
| publisher | University of Szeged |
| record_format | Article |
| series | Journal of Environmental Geography |
| spelling | doaj.art-4eb519ea1bd7483296c674db896f41b52022-12-22T02:47:26ZengUniversity of SzegedJournal of Environmental Geography2060-467X2013-04-0161-21810.2478/v10326-012-0001-5Classification Methods for Inland Excess Water ModelingLeeuwen Boudewijn van0Henits László1Mészáros Minucsér2Tobak ZalánSzatmári József3Pavić Dragoslav4Savić Stevan5Dolinaj Dragan6Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem u. 2-6, H-6722 Szeged, HungaryDepartment of Physical Geography and Geoinformatics, University of Szeged, Egyetem u. 2-6, H-6722 Szeged, HungaryCenter for Spatial Informations of Vojvodina, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000 Novi Sad, SerbiaDepartment of Physical Geography and Geoinformatics, University of Szeged, Egyetem u. 2-6, H-6722 Szeged, HungaryClimatology and Hydrology Research Centre, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000 Novi Sad, SerbiaClimatology and Hydrology Research Centre, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000 Novi Sad, SerbiaClimatology and Hydrology Research Centre, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000 Novi Sad, SerbiaInland excess water floodings are a common problem in the Carpathian Basin. Nearly every year large areas are covered by water due to lack of natural runoff of superfluous 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-east Hungary and northern Serbia. The region is susceptible to this type of flooding due to its geographical circumstances. 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. 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.https://doi.org/10.2478/v10326-012-0001-5classificationinland excess waterspectral mixture analysisartificial neural network |
| spellingShingle | Leeuwen Boudewijn van Henits László Mészáros Minucsér Tobak Zalán Szatmári József Pavić Dragoslav Savić Stevan Dolinaj Dragan Classification Methods for Inland Excess Water Modeling Journal of Environmental Geography classification inland excess water spectral mixture analysis artificial neural network |
| title | Classification Methods for Inland Excess Water Modeling |
| title_full | Classification Methods for Inland Excess Water Modeling |
| title_fullStr | Classification Methods for Inland Excess Water Modeling |
| title_full_unstemmed | Classification Methods for Inland Excess Water Modeling |
| title_short | Classification Methods for Inland Excess Water Modeling |
| title_sort | classification methods for inland excess water modeling |
| topic | classification inland excess water spectral mixture analysis artificial neural network |
| url | https://doi.org/10.2478/v10326-012-0001-5 |
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