Analysis and 3D visualization of Mediterranean subsurface karst features based on tomographic mapping (Zominthos, Central Crete)

Siart, Christoph; Hecht, Stefan; Bakti, Barbara Brilmayer; Holzhauer, Ingmar

doi:10.1127/0372-8854/2011/0055s3-0064

Cited by 4 publications

(3 citation statements)

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“…The crucial question, though, concerns the properties and amount of geophysical data necessary for comprehensively investigating sediment filled karst depressions. As a general rule, the precision of underground models and the detail of data fusion outcomes can be improved by using a higher number of geophysical transects (Chalikakis et al, 2011;Siart et al, 2011). Spatial distribution (equal coverage, perpendicular arrangement, slope proximal start and end points) and the consideration of decisive geomorphologic features (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…The methodological implementation of surface and subsurface data fusion can be achieved by GIS-based processing of digital elevation models according to geophysical results (Siart et al, 2011). Given the use of precise topographic information, both the near-realistic modelling of the underground and the calculation of geomorphometric parameters such as volume, slope or aspect become feasible.…”

Section: Fusion Of Surface and Subsurface Datamentioning

confidence: 99%

“…The same applies to the intermediate shatter zone, where obtaining precise data about actual structure and setup is very complex and hardly possible by solely applying tomographic methods. Its extension can only be captured by a two-sided approximation from top to bottom (ERT values >250 Ωm) and vice versa (SRT values <2000 m/s) using approved reference values for loose sediments and solid carbonate rock (Hecht, 2003;Siart et al, 2011). In turn, depth to bedrock proved to be the only parameter that allows for establishing a highly reliable and detailed DTSM.…”

Section: Fusion and Geomorphometrics Of Combined Datasetsmentioning

confidence: 99%

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

Siart

Forbriger

Nowaczinski

et al. 2013

Earth Surf Processes Landf

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A multi‐method research design based on terrestrial laser scanning, GIS, geophysical prospecting (electrical resistivity tomography, refraction seismics) and sedimentology is applied for the first time to investigate enclosed karst depressions in an integrated way. Fusing multi‐resolution surface and subsurface geodata provides profound insights into the formation, geometry and geomorphologic processes of dolines. 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. Surface volumes of depressions derived by the digital surface model are 7–21% higher than the results obtained from the terrain model due to vegetation. Similarly, estimates of infill volume calculated on the basis of geophysical outcomes and elevation data differ by up to 13%. Calculations of the landforms' current volumes (i.e. total surface and subsurface volume), however, are fairly insensitive to raster resolution. Hence, the distinct geomorphologic properties of landforms (e.g. shape, terrain roughness, slope inclination) substantially determine the geomorphometric analysis of both surface and subsurface data. 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. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Section: Fusion Of Surface and Subsurface Datamentioning

confidence: 99%

Section: Fusion and Geomorphometrics Of Combined Datasetsmentioning

confidence: 99%

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