The Internet has inspired an enormous appetite for 3-dimensional geo-data of the urban environment to support location-aware applications. This has in fact become the surprising „killer application“ of such 3-dimensional data. In March 2005, at the occasion of his 50th birthday, Bill Gates went public with his “Virtual Earth Vision” for local search in the Internet and stated: "You'll be walkin...

For efficient grassland management, information on the spatial variation of the crop within fields is of the utmost importance. Currently, this mainly depends on qualitative expert knowledge. Quantitative information on the actual status of grass swards at the right moment in the season is important for management decisions, like nitrogen supply, water supply or harvesting. Remote sensing has p...

Cultural heritage documentation has had spectacular successes in the preservation and restoration of sites destroyed by natural disasters or by war. These successes were largely based on photographic documentation, that were translated into construction information using manual methods to include all types of 3-dimensional cues, be this stereo, shadows, shading or the simple use of geometric kn...

Deep-learning (DL) stereomatching methods gained great attention in remote sensing satellite datasets. However, most of these existing studies conclude assessments based only on a few/single stereo-images lacking systematic evaluation how robust DL are with varying radiometric and geometric configurations. This paper provides an four through hundreds multi-date multi-site stereopairs configurat...

The starting point for the modeling of urban spaces was in the mid-1990s, using semi-manual aerial stereophotogrammetric methods, also multi-view street-level image streams and at times also single images. First tangible applications of such 3D models were found in the late 1990’s in the telecom-industry for the study of signal propagation of cellular and other telecommunication technologies. W...