Learn More
While remote sensing has made enormous progress over recent years and a variety of sensors now deliver medium and high resolution data on an operational basis, a vast majority of applications still rely on basic image processing concepts developed in the early 70s: classification of single pixels in a multi-dimensional feature space. Although the techniques(More)
Informal settlements behave very dynamical over space and time and the number of people living in such housing areas is growing worldwide. The reasons for this dynamical behaviour are manifold and are not matter of this article. Nevertheless, informal settlements represent a status quo of housing and living conditions which is from a humanitarian point of(More)
In the context of object-based image analysis (OBIA) in the most cases a so-called bottom-up-approach of analyzing images is applied. This means, beginning with an initial global segmentation, a subsequent classification of the segments is performed. Herein the image segments act as the building blocks for the following classification within the feature(More)
Within urban areas, green spaces play a critically important role in the quality of life. They have remarkable impact on the local microclimate and the regional climate of the city. Quantifying the ‗greenness' of urban areas allows comparing urban areas at several levels, as well as monitoring the evolution of green spaces in urban areas, thus serving as a(More)
Landscape analysis and landscape planning need sophisticated spatio-temporal image analysis complemented with context-sensitive methodology. The latter means that raster processing has to evolve beyond per-cell analysis. We have integrated two approaches for the delineation of homogenous areas, or " mapping units ". First, a multiscale image analysis(More)
For successful implementation of geospatial information sharing platforms, we need solutions for overcoming syntactic and semantic 'noise' that may occur while sharing spatial data across communities, enterprises and application domains. For example, querying existing spatial data repositories is commonly based on thematic, spatial and temporal criteria.(More)