This paper introduces a predictive (selective) 4D modelling framework where only the spatial 3D differences are
modelled at the forthcoming time instances, while regions of no significant spatial-temporal alterations remain intact. To
accomplish this, initially spatial-temporal analysis is applied between 3D digital models captured at different time
instances. So, the creation of dynamic change history maps is made. Change history maps indicate spatial probabilities of
regions needed further 3D modelling at forthcoming instances. Thus, change history maps are good examples for a
predictive assessment, that is, to localize surfaces within the objects where a high accuracy reconstruction process needs
to be activated at the forthcoming time instances. The proposed 4D Land Information Management System (LIMS) is
implemented using open interoperable standards based on the CityGML framework. CityGML allows the description of
the semantic metadata information and the rights of the land resources. Visualization aspects are also supported to allow
easy manipulation, interaction and representation of the 4D LIMS digital parcels and the respective semantic
information. The open source 3DCityDB incorporating a PostgreSQL geo-database is used to manage and manipulate 3D
data and their semantics. An application is made to detect the change through time of a 3D block of plots in an urban
area of Athens, Greece. Starting with an accurate 3D model of the buildings in 1983, a change history map is created
using automated dense image matching on aerial photos of 2010. For both time instances meshes are created and through
their comparison the changes are detected.
This paper studies the use of high resolution satellite optical and SAR images for 1:5,000 mapping production, which is essential for public work and environmental impact assessment studies. The images were used for the extraction of DEMs and their “fit for purpose” use was investigated, through the examination of parameters like accuracy, reliability and performance of morphological features. Orthoimages from satellite optical images using the produced DEMs with or without breaklines were produced. An application was developed on Antiparos island, a Greek island with irregular terrain. The data includes: (a) a triplet of Pleiades (1A, tri-stereo) satellite images, with a resolution of 0.5m, (b) a TanDEM-X Intermediate DEM, a preliminary version of the forthcoming TanDEM-X global DEM, and (c) an accurate DEM produced from the Greek National Cadastre & Mapping Agency S.A. was used as the reference DEM. The georeferencing of the optical images was computed using GCPs which were measured with GNSS. DEMs were extracted using all the possible combinations of the images triplet using automated image matching without any filtering or editing and were evaluated using the reference DEM. The combination of images which yielded the best DEM was then used to manually editing 3D points and collecting breaklines in order to produce a better DEM, which was also evaluated using various statistical measures and geo-morphological features. Orthoimages were created and evaluated using DEMs from optical and SAR data. A discussion about the use of the computed mapping products for the various stages of the public work studies is included.