Automated parameterisation for multi-scale image segmentation on multiple layers L Drăguţ, O Csillik, C Eisank, D Tiede ISPRS Journal of photogrammetry and Remote Sensing 88, 119-127, 2014 | 720 | 2014 |
Automated object-based classification of topography from SRTM data L Drăguţ, C Eisank Geomorphology 141, 21-33, 2012 | 264 | 2012 |
Object representations at multiple scales from digital elevation models L Drăguţ, C Eisank Geomorphology 129 (3-4), 183-189, 2011 | 196 | 2011 |
Local variance for multi-scale analysis in geomorphometry L Drăguţ, C Eisank, T Strasser Geomorphology 130 (3-4), 162-172, 2011 | 145 | 2011 |
An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan D Hölbling, B Friedl, C Eisank Earth Science Informatics 8 (2), 327-335, 2015 | 130 | 2015 |
Assessment of multiresolution segmentation for delimiting drumlins in digital elevation models C Eisank, M Smith, J Hillier Geomorphology 214, 452-464, 2014 | 106 | 2014 |
An object-based workflow to extract landforms at multiple scales from two distinct data types S d'Oleire-Oltmanns, C Eisank, L Drăgut, T Blaschke IEEE Geoscience and Remote Sensing Letters 10 (4), 947-951, 2013 | 77 | 2013 |
Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment G Amato, C Eisank, D Castro-Camilo, L Lombardo Engineering geology 260, 105237, 2019 | 63 | 2019 |
Comparing manual and semi-automated landslide mapping based on optical satellite images from different sensors D Hölbling, C Eisank, F Albrecht, F Vecchiotti, B Friedl, E Weinke, A Kociu Geosciences 7 (2), 37, 2017 | 61 | 2017 |
A generic procedure for semantics-oriented landform classification using object-based image analysis C Eisank, L Drăguţ, T Blaschke Geomorphometry 2011, 125-128, 2011 | 38 | 2011 |
Developing a semantic model of glacial landforms for object-based terrain classification–the example of glacial cirques C Eisank, L Dragut, J Götz, T Blaschke Proc. the International Archives of the Photogrammetry, Remote Sensing and …, 2010 | 35 | 2010 |
Expert knowledge for object-based landslide mapping in Taiwan C Eisank, D Hölbling, B Friedl, YC Chen, KT Chang South-Eastern European Journal of Earth Observation and Geomatics 3 (2S …, 2014 | 24 | 2014 |
Comparing object-based landslide detection methods based on polarimetric SAR and optical satellite imagery—A case study in Taiwan S Plank, D Hölbling, C Eisank, B Friedl, S Martinis, A Twele Proceedings of the 7th International Workshop on Science and Applications of …, 2015 | 17 | 2015 |
A comparison of methods to incorporate scale in geomorphometry L Drăguţ, C Eisank, T Strasser, T Blaschke Proceedings Geomorphometry, 133-139, 2009 | 16 | 2009 |
Terrain extraction in built-up areas from satellite stereo-imagery-derived surface models: A stratified object-based approach F Luethje, D Tiede, C Eisank ISPRS International Journal of Geo-Information 6 (1), 9, 2017 | 14 | 2017 |
Automated classification of topography from SRTM data using object-based image analysis L Drăguţ, C Eisank Geomorphometry, 7-9, 2011 | 13 | 2011 |
Semi-Global Matching of Pléiades tri-stereo imagery to generate detailed digital topography for high-alpine regions C Eisank, L Rieg, C Klug, H Kleindienst, R Sailer J. Geogr. Inf. Sci 2015, 168-177, 2015 | 12 | 2015 |
Automated classification of topography from SRTM data using object-based image analysis C Eisank, L Drăguţ Geomorphology, 141-142, 2012 | 12 | 2012 |
Object-based landform mapping at multiple scales from digital elevation models (DEMs) and aerial photographs S d'Oleire-Oltmanns, C Eisank, L Dragut, L Schrott, I Marzolff, T Blaschke GEOBIA 2012, 496-500, 2012 | 8 | 2012 |
User requirements for an Earth Observation (EO)-based landslide information web service F Albrecht, D Hölbling, E Weinke, C Eisank Landslides and Engineered Slopes. Experience, Theory and Practice, 301-308, 2018 | 7 | 2018 |