Image Data and Lidar – an Ideal Combination Matched by Object- Oriented Analysis

In this paper, object-oriented image analysis, on the basis of eCognition, is used to classify an IKONOS-2 image together with data derived from an aerial laser scanner. After the initial classification of different land cover types, a subset containing only buildings was integrated with zoning as well as population data. Zoning data was used to assign the classified buildings to different land use types, thus allowing the identification of buildings designated for residential use. On these were mapped population data, available on a 250 m grid basis while taking into account the height of each building, allowing a differentiated presentation of where people live within in each grid cell. Although at this stage no data was available for validation, the result suggest a high potential not only for further dasymetric mapping applications, but other applications as well. * Corresponding author.