ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 ISPRS Göttingen, Germany 10.5194/isprsarchives-XXXVIII-4-W19-111-2011 TERRASAR-X AND RAPIDEYE DATA FOR THE PARAMETERISATION OF RELATIONAL CHARACTERISTICS OF URBAN ATKIS DLM OBJECTS Hese S. 1 Lindner M. 1 Voltersen M. 1 Berger C. 1 Friedrich-Schiller University Jena, Dept. of Geography, 07737 Jena, Germany 07 09 2012 XXXVIII-4/W19 111 114 Copyright: © 2011 S. Hese et al. 2011 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-archives.copernicus.org/articles/XXXVIII-4-W19/111/2011/isprs-archives-XXXVIII-4-W19-111-2011.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XXXVIII-4-W19/111/2011/isprs-archives-XXXVIII-4-W19-111-2011.pdf

This work presents a multi-sensor data analysis concept for the parameterisation of urban landuse in comparison to ATKIS DLM reference objects (digital landscape model). An object based top-down approach is implemented and the potential of multisensor data for a primary urban landcover object classification is assessed. Urban landuse structure is developed based on relational features applied to land cover objects and compared to an aggregated DLM class legend. For a better imperviousness description an advanced imperviousness measure – the build-up impervious intensity ratio is developed that takes building height and derived floor area (based on LiDAR data) and the amount of vegetation within a search radius to every building into account. The developed concept is parameterized with test areas in Rostock and transferability is investigated with data coverage in Cologne (Germany). The work is linked to the urban work package of the DLR funded ENVILAND-2 project that aims to develop operational concepts for the use of TerraSAR-X and Rapideye data in urban mapping scenarios.