Time filter

Source Type


Stoter J.,Kadaster | Stoter J.,Technical University of Delft | Vallet B.,IGN | Lithen T.,Lantmateriet | And 6 more authors.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2016

Techniques for 3D mapping are maturing. At the same time the need for 3D data is increasing. This has pushed national (and regional) mapping agencies (NMAs) to consider extending their traditional task of providing topographic data into the third dimension. To show how research results in 3D mapping obtained over the past twenty years have been adopted by practice, this paper presents the ongoing work on 3D mapping within seven NMAs, all member of the 3D Special Interest Group of European Spatial Data Research (EuroSDR). The paper shows that some NMAs are still in the initial (experimental) phase of 3D mapping, while others have already built solid databases to maintain 2.5D and 3D topographic data covering their whole country.

Stoter J.,Kadaster | Stoter J.,Technical University of Delft | Reuvers M.,Geonovum | Vosselman G.,NCG | And 3 more authors.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2010

This paper presents the ongoing research project in The Netherlands in which a large number of stakeholders are realising a 3D testbed based on selected use cases and test areas. The findings of the project will result in a Proof of Concept for a 3D Geo-information standard and a 3D data infrastructure in The Netherlands compatible with international (e.g. CityGML) and national standards.

Stoter J.E.,Technical University of Delft | Van Smaalen J.,Esri | Nijhuis R.,Kadaster | Dortland A.,Kadaster | And 2 more authors.
Urban and Regional Data Management, UDMS Annual 2011 - Proceedings of the Urban Data Management Society Symposium 2011 | Year: 2012

This paper studies the feasibility of fully automated generalisation of topographic data in the context of nowadays use of geo-information and available technologies. The starting point is that the requirements with respect to up-to-dateness may get priority over cartographic principles, although the result should still be of acceptable quality. In addition the study acknowledges that the results obtained by an automated process may differ from results from interactive processes. A pilot was carried out that takes these perspectives and set up a fully automated generalisation workflow using commercial software. In the pilot the workflow has been refined and the optimal implementations and parameter settings have experimentally been determined by an expert team in five weeks time. The results show potentials to generalise a 1:50 k map from 1:10 k data in a fully automated manner. Issues for further research are identified. © 2012 Taylor & Francis Group.

Stoter J.,Kadaster | Stoter J.,Technical University of Delft | Van Altena V.,Kadaster | Post M.,Kadaster | And 2 more authors.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2016

Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Commission on Generalisation and Multi-representation of the International Cartographic Association and the Commission on Modelling and Processing of the European Spatial Data Research. This paper reports about the workshop outcomes. It shows that, most NMAs have implemented a certain form of automation in their workflows, varying from generalisation of certain features while still maintaining a manual workflow; semi-automated editing and generalisation to a fully automated procedure.

Stoter J.,Technical University of Delft | Post M.,Kadaster | Van Altena V.,Kadaster | Nijhuis R.,Kadaster | Bruns B.,Kadaster
Cartography and Geographic Information Science | Year: 2014

This article presents research that implements a fully automated workflow to generalize a 1:50k map from 1:10k data. This is the first time that a complete topographic map has been generalized without any human interaction. More noteworthy is that the resulting map is good enough to replace the existing map. Specifications for the automated process were established as part of this research.Replication of the existing map was not the aim, because feasibility of automated generalization is better when compliance with traditional generalizations rules is loosened and alternate approaches are acceptable. Indeed, users valued the currency and relevancy of geographical information more than complying with all existing cartographic guidelines. The development of the workflow thus started with the creation of a test map with automated generalization operations. The reason for the test map was to show what is technologically possible and to refine the results based on iterative users evaluation. The generalization operations (200 in total) containing the relevant algorithms and parameter values were developed and implemented in one model. Particular effort was made to enrich the source data in order to improve the results. The model is context aware which means it is able to apply different algorithms or adjust parameter values in accordance with a specific area. The result of the research is a fully automated generalization workflow that produces a countrywide map at scale 1:50k from 1:10k data in 50 hours.A fully automated workflow may be the only way to produce flexible and on-demand products; consequently, the results were implemented as a new production line in 2013. Issues for further research have been identified. © 2013 Cartography and Geographic Information Society.

Discover hidden collaborations