(Article of periodic en Hongrois - 2011)

Document title

A belvízelöntések térképezését megalapozó adatgyűjtés és a belvízképződés modellezése neurális hálózattal (Hongrois)
Collecte de données pour la représentation cartographique et la modélisation des excès d'eaux continentales à l'aide d'un reseau artificiel de drainage

Authors(s) and Affiliation(s)



Inland excess water is a recurring problem on the Great Hungarian Plain. Large tracts of land are covered with water due to a lack of runoff and insufficient absorption capability of the soil or upwelling of groundwater. Laser altimeter scanning (ALS) data and stereo aerial photographs were acquired from three different study areas in the Maros-Körös Interfluve. The ALS data and three dimensional vectors (breaklines) that were derived from aerial photographs were employed to create a 70 km2 digital elevation model (DEM), which incorporates natural landforms essential for inland excess water modeling and can not be identified on the DEM-5 model of Hungary. A framework has been developed to integrate the robust capabilities of a GIS for geographical analyses and of artificial neural networks to classify large, complex, non-linear datasets. The framework uses the DEM and GIS layers to identify inland excess water. - (AM)


Article of periodic

published at : Földrajzi kõzlemények / ISSN 0015-5411

Editor : Magyar Földrajzi Társaság, Budapest - HONGRIE (1873)

Millesime : 2011, vol. 135, no4 [pp. 351-363]

Bibliographic references : 19 ref.

Collation : 8 fig., 3 tabl.



INIST-CNRS, Cote INIST : 18213

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
Refdoc record number (ud4) : 26541266 : Permanent link - XML version
Powered by Pxxo