Approaches to distinguish ⇘real⇔ changes from ⇘unreal⇔ changes based on multi-temporal 2d building footprint data

Abstract

Building footprint data from National Mapping and Cadastral Agencies are available in Germany for 7 years as a uniform, nationwide 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.