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

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.

[1]  Postma,et al.  Neogene tectonics and basin fill patterns in the Hellenic outer‐arc (Crete, Greece) , 1999 .

[2]  P. Arias,et al.  Terrestrial laser scanning used to determine the geometry of a granite boulder for stability analysis purposes , 2009 .

[3]  C. Siart,et al.  Terrestrial laser scanning and electrical resistivity tomography as combined tools for the geoarchaeological study of the Kritsa-Latô dolines (Mirambello, Crete, Greece) , 2012 .

[4]  George Vosselman,et al.  Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds , 2004 .

[5]  D. Ford,et al.  Karst Hydrogeology and Geomorphology: Ford/Karst Hydrogeology and Geomorphology , 2007 .

[6]  Wanfang Zhou,et al.  Effective electrode array in mapping karst hazards in electrical resistivity tomography , 2002 .

[7]  Kenan Tüfekçi,et al.  Evaluating of karstification in the Menteşe Region of southwest Turkey with GIS and remote sensing applications , 2007 .

[8]  B. Höfle,et al.  Topographic airborne LiDAR in geomorphology: A technological perspective , 2011 .

[9]  T. Telbisz,et al.  Geomorphological Characteristics of the Italian Side of Canin Massif (Julian Alps) using Digital Terrain Analysis and Field Observations , 2011 .

[10]  Maria A. Brovelli,et al.  LIDAR Data Filtering and DTM Interpolation Within GRASS , 2004, Trans. GIS.

[11]  Martin Pfennigbauer,et al.  Improving quality of laser scanning data acquisition through calibrated amplitude and pulse deviation measurement , 2010, Defense + Commercial Sensing.

[12]  O. Sass,et al.  Application of field geophysics in geomorphology: Advances and limitations exemplified by case studies , 2008 .

[13]  O. Marinoni,et al.  Doline probability map using logistic regression and GIS technology in the central Ebro Basin (Spain) , 2008 .

[14]  C. Siart,et al.  Geoarchaeological study of karst depressions integrating geophysical and sedimentological methods: case studies from Zominthos and Latô (Central and East Crete, Greece) , 2009 .

[15]  R. Hoover.  Geophysical Choices for Karst Investigations , 2003 .

[16]  D. J. Hinsbergen,et al.  Neogene supradetachment basin development on Crete (Greece) during exhumation of the South Aegean core complex , 2006 .

[17]  Markus Hollaus,et al.  Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data , 2012 .

[18]  Fayçal Rejiba,et al.  Assessment of doline geometry using geophysics on the Quercy plateau karst (South France) , 2011 .

[19]  M. Veress.  Investigation of covered karst form development using geophysical measurements , 2009 .

[20]  Roger Guerin,et al.  Contribution of geophysical methods to karst-system exploration: an overview , 2011 .

[21]  R. Brinkmann,et al.  Using ALSM to map sinkholes in the urbanized covered karst of Pinellas County, Florida—1, methodological considerations , 2008 .

[22]  F. Šušteršič.  A power function model for the basic geometry of solution dolines: considerations from the classical karst of south‐central Slovenia , 2006 .

[23]  N. Ravbar,et al.  Characterisation of Karst Areas Using Multiple Geo-science Techniques, a Case Study from SW Slovenia , 2010 .

[24]  W. Wagner,et al.  Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner , 2006 .

[25]  Olaf Bubenzer,et al.  Combining digital elevation data (SRTM/ASTER), high resolution satellite imagery (Quickbird) and GIS for geomorphological mapping: A multi-component case study on Mediterranean karst in Central Crete , 2009 .

[26]  A. Mihevc,et al.  Investigation of Structure of Various Surface Karst Formations in Limestone and Dolomite Bedrock with Application of the Electrical Resistivity Imaging , 2008 .

[27]  P. Mozzi,et al.  Doline Fills - Case Study of the Faverghera Plateau (Venetian Pre-Alps, Italy) , 2009 .