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(Article of periodic en Anglais - 2013)

Document title

Fusion of multi-resolution surface (terrestrial laser scanning) and subsurface geodata (ERT, SRT) for karst landform investigation and geomorphometric quantification

Authors(s) and Affiliation(s)

SIART C. (1) ; FORBRIGER M. (1) ; NOWACZINSKI E. (1) ; HECHT S. (1) ; HÖFLE B. (2) ;
(1) Inst. of Geography, Lab. for Geomorphology and Geoecology, Univ., Heidelberg, ALLEMAGNE
(2) Inst. of Geography, GIScience, Univ., Heidelberg, ALLEMAGNE

Abstract

A multi-method research design based on terrestrial laser scanning, GIS, geophysical prospecting (electrical resistivity tomography, refraction seismics) and sedimentology is applied to investigate enclosed karst depressions in an integrated way. The studied landforms, which are located in the Dikti Mountains of East Crete, are shown to be filled by loose sediments of thicknesses of up to 30 m that mainly consist of fine-grained material overlying solid bedrock at depths below 35 to 45 m. By combining subsurface observations with geomorphometric calculations, local doline genesis can be traced back to initial collapse of fractured bedrock followed by subsequent infilling with colluvials. In order to define crucial methodological requirements and guidelines for data fusion, both the impact of different elevation models and the influence of data resolution are assessed. As shown by the findings, data fusion to integrate digital terrain, geophysical and sedimentological datasets of varied resolutions benefits geomorphologic studies and helps provide a comprehensive image of landforms

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2013, vol. 38, no10 [pp. 1135-1147]

Bibliographic references : 2 p.

Collation : 11 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3394

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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