Abstract
Abstract. Building footprint data from National Mapping and Cadastral Agencies are available in Germany for 7 years as a uniform, nation-wide geospatial data set and are updated annually. These multi-temporal building data sets can form the basis for the application of change detection techniques to derive national figures on dynamics in the building stock. Since these building data sets have only been built up in recent years, it is necessary to distinguish real changes from false changes. This is done by applying vector geometry-based operations and statistical analyses, which are presented in this article. Furthermore, by the additional use of the raster dataset Copernicus – European Settlement Map (classified, resolution 2.5 m) it is approximately possible to estimate whether it is a correct change or not. The advantage of this approach is that large-scale comparable results can be derived simply and quickly based on uniform basic data.
Highlights
Small-scale land use changes on the level of individual buildings are playing an increasingly important role in urban and regional planning and environmental sciences
In this paper an overview of different approaches to distinguish real from unreal changes based in multi-temporal 2D data sets has been given
An approach of size class analysis was presented, with which more extensive subsequent added buildings, which do not correspond to any real changes, can be recognized
Summary
Small-scale land use changes on the level of individual buildings are playing an increasingly important role in urban and regional planning and environmental sciences. 2. USED BASIC DATA 2.1 Official Building Polygons of Germany (HU-DE) As input we use is a Germany-wide and multi-temporal building data set called Amtliche Hausumringe Deutschland (HU-DE) that contains all building footprints from the cadastral agencies produced by the federal surveying and mapping authorities of the German States (6 time slices, from 2011 to 2016). USED BASIC DATA 2.1 Official Building Polygons of Germany (HU-DE) As input we use is a Germany-wide and multi-temporal building data set called Amtliche Hausumringe Deutschland (HU-DE) that contains all building footprints from the cadastral agencies produced by the federal surveying and mapping authorities of the German States (6 time slices, from 2011 to 2016) These have been produced according to uniform criteria and have the same geometric accuracy (in the centimeter range). Such adjustments were apparently carried out by the federal states, which are leading to such effects
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