Clemens Eisank

E-mail:

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Phone: +43 - (0)662 - 8044 - 7552

Fax: +43 - (0)662 - 8044 - 182

Scientific profile:

Clemens obtained a bachelor’s degree in geography and a master’s degree in applied geoinformatics from the University of Salzburg in 2005 and 2007 respectively. Since 2008 he has been working in the research team of the Centre for Geoinformatics Z_GIS. During the project SCALA (Scales and Hierarchies in Landform Classification) Clemens started developing his doctoral thesis, focusing on multi-scale landform modelling with object-based image analysis (OBIA). Currently, he is the principal researcher in KnowLand (Knowledge and Semantics in Landform Classification), a national-funded stand-alone project (FWF) that is directly linked to the topic of his thesis.

Due to his project engagement Clemens has obtained profound knowledge in GIS, geomorphology, geomorphometry, and geostatistics. Further, he is well experienced with the concepts and methods of object-based image analysis (OBIA) as well as with scaling issues.

For additional information about Clemens’ research activities please refer to the project website or to his Academia site.

Research Cluster: Representation and Data Models

PhD Thesis Topic: A hierarchical system for multi-scale and object-based landform classification

Abstract: Landforms are scale-dependent features of the land surface, and therefore are structured in a hierarchical manner. They define boundary conditions for applications in geomorphology, hydrology and related fields. Due to the increasing number of multi-scale studies in those disciplines, automated approaches to hierarchical landform classification based on land surface models are required. The presented research aims at developing a conceptual foundation as basis for hierarchical landform classification in object-based image analysis (OBIA). Outcomes are expected to contribute to a better understanding of the hierarchical structure of landforms and associated processes. If the proposed system proves to be transferable, there is the potential to implement it in software products, or to use it for automated landform mapping from databases.

First Supervisor:

Dr. Thomas Blaschke

Other Supervisor:

Dr. Lucian Dragut

Publications:

Automated object-based classification of topography from SRTM data

Drăguţ, L. and Eisank, C. (2012) Automated object-based classification of topography from SRTM data, Geomorphology, 141-142: 21-33.

Local variance for multi-scale analysis in geomorphometry

Drăguţ, L., Eisank, C. and Strasser, T., 2011. Local variance for multi-scale analysis in geomorphometry, Geomorphology, 130(3-4): 162-172.

Object representations at multiple scales from Digital Elevation Models

Drăguţ, L. and Eisank, C., 2011. Object representations at multiple scales from Digital Elevation Models, Geomorphology, 129: 183-189.

Automated classification of topography from SRTM data using object-based image analysis

Drăguţ, L. and Eisank, C., 2011. Automated classification of topography from SRTM data using object-based image analysis. In: Hengl, T., Evans, I.S., Wilson, J.P. and Gould, M. (Eds.) Geomorphometry2011, 7-9 Sept., Redlands, CA, USA, 113-116.

A Hierarchical System for Multi-Scale and Object-Based Landform Classification

Eisank, C. (2010) A Hierarchical System for Multi-Scale and Object-Based Landform Classification. In: Wallgrün, J. O. and Lautenschütz, A.-K. (Eds.) Proceedings of the GIScience 2010 Doctoral Colloquium. Zurich, Switzerland, September 2010 - Extended Abstracts (=ifgiPrints 38), 17-22.

Detecting characteristic scales of slope gradient

Eisank, C. and Drăguţ, L. (2010) Detecting characteristic scales of slope gradient. In: Car, A., Griesebner, G. and J. Strobl (Eds.) Geospatial Crossroads @ GI_Forum '10. Proceedings of the Geoinformatics Forum Salzburg, Berlin: Wichmann, 48-57.

Developing a semantic model of glacial landforms for object-based terrain classification - the example of glacial cirques

Eisank, C., Drăguţ, L., Götz, J. and Blaschke, T. (2010) Developing a semantic model of glacial landforms for object-based terrain classification - the example of glacial cirques. In: Addink, E.A. and F.M.B. Van Coillie (Eds.) GEOBIA 2010-Geographic Object-Based Image Analysis. Ghent University, Ghent, Belgium, 29 June – 2 July. ISPRS Vol.No. XXXVIII-4/C7, Archives ISSN No 1682-1777.

A Comparison of Methods to Incorporate Scale in Geomorphometry

Drăguţ, L., Eisank, C., Strasser, T. and Blaschke, T. (2009) A Comparison of Methods to Incorporate Scale in Geomorphometry. In: Purves, R., Gruber, S., Straumann, R. and Hengl, T. (Eds.) Proceedings of Geomorphometry 2009. Zurich, Switzerland, 133-139.

A generic procedure for semantics-oriented landform classification in object-based image analysis

Eisank, C., Drăguţ, L. and Blaschke, T., 2011. A generic procedure for semantics-oriented landform classification in object-based image analysis. In: Hengl, T., Evans, I.S., Wilson, J.P. and Gould, M. (Eds.) Geomorphometry2011, 7-9 Sept., Redlands, CA, USA, 125-128.

Presentation Eisank Clemens