Morphometric analysis of karst depressions on a mediterranean karst massif

References

• Alonso‐chaves, F.M., Soto, J.I., Orozco, M., Kilias, A.A. and Tranos, M.D., 2004. Tectonic evolution of the Betic Cordillera: an overview. Bulletin of the Geological Society of Greece, XXXVI, 1598–1607.
   Google Scholar
• Anders, N.S., Seijmonsbergen, A.C. and Bouten, W., 2011. Segmentation optimization and stratified object‐based analysis for semi‐automated geomorphological mapping. Remote Sensing of Environment, 115, 276–298.
   Web of Science ®Google Scholar
• Antonic, O., Hatic, D. and Pernar, R., 2001. DEM‐based depth in sink as an environmental stimator. Ecological Modelling, 138, 247–254.
   Web of Science ®Google Scholar
• Arnold, N., 2010. A new approach for dealing with depressions in digital elevation models when calculating flow accumulation values. Progress in Physical Geography, 34, 781–809.
   Web of Science ®Google Scholar
• Benavente, J. and Sanz de galdeano, C., 1985. Relación de las direccionas de karstificación y del termalismo con la fracturación en las Cordilleras Béticas. Estudios Geológicos, 41, 177–188.
   Google Scholar
• Bondesan, A., Meneghel, M. and Sauro, U., 1993. Morphometric analysis of dolines. International Journal of Speleology, 21, 1–55.
   Google Scholar
• Burrough, P.A. and Mcdonnell R.A., 1998. Principles of Geographical Information Systems. Oxford University Press, Oxford.
   Google Scholar
• de Carvalho, O.A., Fontes‐guimarães, R., Montgomery, D.R., Gillespie, A.R., Trancoso gomes R.A., de Souza martins E. and Correia silva, N., 2014. Karst depression detection using ASTER, ALOS/PRISM and SRTM‐derived digital elevation models in the Bambuí Group, Brazil. Remote Sensing, 6, 330–351.
   Web of Science ®Google Scholar
• Delgado‐moya, S., 1973. Hydrogeological study of the Sierra Gorda karst (Granada). Master Thesis, Faculty of Sciences, University of Granada, 99 p. [In Spanish]
   Google Scholar
• Denizman, C., 2003. Morphometric and spatial distribution parameters of karstic depressions, lower Suwannee River basin, Florida. Journal of Cave and Karst Studies, 65, 29–35.
   Web of Science ®Google Scholar
• Faivre, S. and Reiffsteck, P., 1999. Spatial distribution of dolines as an indicator of recent deformations on the Velebit mountain range – Croatia. Géomorphologie: Relief, Processus, Environment, 5, 129–142.
   Google Scholar
• Ford, D. and Williams, P., 2007. Karst Hydrogeology and Geomorphology. John Wiley & Sons, Chichester.
   Google Scholar
• Fry, N., 1979. Random point distributions and strain measurement in rocks. Tectonophysics, 60, 89–105.
   Web of Science ®Google Scholar
• Grimaldi, S., Nardi, F., Di benedetto, F., Istanbulluoglu, E. and Bras, R.L., 2007. A physically‐based method for removing pits in digital elevation models. Advances in Water Resources, 30, 2151–2158.
   Web of Science ®Google Scholar
• Jennings, J.N. 1975. Doline morphometry as a morphogenetic tool: New Zealand examples. New Zealand Geographer, 31, 6–28.
   Google Scholar
• Jenson, S.K., Domingue, J.O., 1988. Extracting topographic structure from digital elevation data for Geographic Information System analysis. Photogrammetric Engineering and Remote Sensing, 54, 1593–1600.
   Web of Science ®Google Scholar
• Koutepov, V.M., Mironov, O.K. and Tolmachev, V.V., 2008. Assessment of suffosion‐ related hazards in karst areas using GIS technology. Environmental Geology, 54, 957–962.
   Google Scholar
• Liang, F. and Xu, B., 2014. Discrimination of tower‐, cockpit‐, and non‐karst landforms in Guilin, southern China, based on morphometric characteristics. Geomorphology, 204, 42–48.
   Web of Science ®Google Scholar
• Lindsay, J.B. and Creed, I.F., 2005. Removal of artefact depressions from digital elevation models: towards a minimum impact approach. Hydrological Processes, 19, 3113–3126.
   Web of Science ®Google Scholar
• López‐chicano, M., 1992. Contribución al conocimiento del sistema hidrogeológico kárstico de Sierra Gorda y su entorno (Granada y Málaga). PhD thesis, Department of Geodynamics, University of Granada, 429 p. [In Spanish]
   Google Scholar
• López‐chicano, M., 1995. El paisaje kárstico de Sierra Gorda. Formas y evolución geodinámica reciente. Espeleotemas, 5, 31–50.
   Google Scholar
• López‐chicano, M. and Pulido‐bosch, A., 1994. Estudio comparative entre fracturación y karstificación en Sierra Gorda (Granada y Málaga). Espeleotemas, 4, 3–14.
   Google Scholar
• Lupiani‐moreno, E., Sanz de galdeano, J.M. and Soria‐mingorance, J., 1988. Mapa Geológico de España, 1:50000, Loja, Map and explanation mémoire. Instituto Geológico y Minero de España, 53 p.
   Google Scholar
• Lyew‐ayee, P., Viles, H.A. and Tucker, G.E., 2007. The use of GIS‐based digital morphometric techniques in the study of cockpit karst. Earth Surface Processes and Landforms, 32, 165–179.
   Web of Science ®Google Scholar
• Pardo‐iguzquiza, E., 2012. Geomatemáticas. Editorial Catarata, Madrid, 133 p.
   Google Scholar
• Pardo‐iguzquiza, E., Durán, J.J. and Dowd, P.A., 2013. Automatic detection and delineation of karst terrain depressions and its application in geomorphological mapping and morphometric analysis. Acta Carsologica, 42, 17–24.
   Web of Science ®Google Scholar
• Péntek, K., Veress, M. and Lóczy, D., 2007. A morphometric classification of solution dolines. Zeitschrift für Geomorphologie, 51, 19–30.
   Web of Science ®Google Scholar
• Pezzi, M.C., 1977. Morfología kárstica del sector central de la Cordillera Subbética. PhD thesis, Department of Geography, University of Granada, 289 p. [In Spanish]
   Google Scholar
• Planchon, O. and Darboux, F., 2001. A fast, simple and versatile algorithm to fill the depressions of digital elevation models. Catena, 46, 159–176.
   Web of Science ®Google Scholar
• Sauro, U., 2003. Dolines and sinkholes: aspects of evolution and problems of classification. Acta Carsologica, 32, 41–52.
   Google Scholar
• Sauro, U., Ferrarese, F., Francese, R., Miola, A., Mozzi, P., Rondo, G.Q., Trombino, L. and Valentini, G., 2009. Doline fills – case study of the Faverghera Plateau (Venetian Pre‐Alps, Italy). Acta Carsologica, 38, 51–63.
   Web of Science ®Google Scholar
• Siart, C., Bubenzer, O. and Eitel, B., 2009. 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. Geomorphology, 112, 106–121.
   Web of Science ®Google Scholar
• Šušteršič, F., 2006. A power function model for the basic geometry of solution dolines: considerations from the classical karst of south‐central Slovenia. Earth Surface Processes and Landforms, 31, 293–302.
   Web of Science ®Google Scholar
• Telbisz, T., 2010. Morphology and GIS‐analysis of closed depressions in Sinjajevian Mts (Montenegro). Karst Development, 1, 41–47.
   Google Scholar
• Telbisz, T., Dragušica, H. and Nagy, B., 2009. Doline morphometric analysis and karst morphology of Biokovo Mt (Croatia) based on field observations and digital terrain analysis. Hrvatski Geografski Glasnik, 71, 5–22.
   Google Scholar
• Valois, R., Camerlynck, C., Dhemaied, A., Guerin, R., Hovhannissian, G., Plagnes, V., Rejiba, F. and Robain, H., 2011. Assessment of doline geometry using geophysics on the Quercy plateau karst (South France). Earth Surface Processes and Landforms, 36, 1183–1192.
   Web of Science ®Google Scholar
• Wilson, J.P. and Gallant, J.C. (eds), 2000. Terrain Analysis: Principles and Applications. Wiley, New York.
   Google Scholar
• Wu, Q., Xu, H. and Zhou, W., 2008. Development of a 3D GIS and its application to karst areas. Environmental Geology, 54, 1037–1045.
   Google Scholar
• Zandbergen, P.A., 2006. The effect of cell resolution on depressions in digital elevation models. Applied GIS, 2, 4.1–4.35.
   Google Scholar
• Zhu, J., Taylor, T.P., Currens, J.C. and Crawford, M.M., 2014. Improved karst sinkhole mapping in Kentucky using LiDAR techniques: a pilot study in Floyds Fork Watershed. Journal of Cave and Karst Studies, 76, 207–216.
   Web of Science ®Google Scholar
• Zhu, Q., Yixiang‐tian, Y. and Zhao, J., 2006. An efficient depression processing algorithm for hydrologic analysis. Computers and Geosciences, 32, 615–623.
   Web of Science ®Google Scholar