Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information for different domains. Despite advantages associated with it, such information lacks quality assurance, since it is provided by different individuals. Several authors have investigated different approaches to assess CGI quality. Some of the existing methods have been summarized in different classification schemas. [...]
Category Archive for 'VGI Group'
At the Annual Meeting 2017 of the DGPF (German Society for Photogrammetry, Remote Sensing and Geoinformation) GIScience Heidelberg will contribute three talks on 9 March 2017.
Citizen Science in Schulen: Entwicklung von 3D-MicroMapping zur Klassifikation von 3D-Punktwolken (Research Project: 3D-MAPP)
The Heidelberg LiDAR Operations Simulator HELIOS as a Supporting Tool for Capturing and Preserving Cultural Heritage [...]
The aftereffects of disaster events are significant in tourist destinations where they do not only lead to destruction and casualties, but also long-lasting economic harms. The public perception causes tourists to refrain from visiting these areas and recovery of the tourist industry, a major economic sector, to become challenging. To improve this situation, current information [...]
Deep learning techniques, esp. Convolutional Neural Networks (CNNs), are now widely studied for predictive analytics with remote sensing images, which can be further applied in different domains for ground object detection, population mapping, etc. These methods usually train predicting models with the supervision of a large set of training examples. However, finding ground truths especially [...]
On Tuesday 17th January, the CAP4Access/MyAccessible.EU came to a close after three years with the successful completion of the final European Commission review meeting in Brussels. Reviewers were highly pleased with the outcomes of the project, both on the technical and societal fronts.
At GIScience in Heidelberg, through the EC FP7 project we have extended the [...]
Recently some of our work on intrinsic VGI quality analysis has been published. In this work we propose a framework to assess the quality of OSM building footprints data without using any reference data. More specifically, the OSM history data will be examined regarding the development of attributes, geometries and positions of building footprints. In [...]
One main focus of the GIScience Research Group is the research and education with respect to advancing methods, technologies and applications of Volunteered Geographic Information - in particular OpenStreetMap - for applications from logistics to humanitarian aid. In this vein, the group has been also been supporting the work of the [...]
Check-in data such as provided by Foursquare is one kind of social media feeds which gained considerable interest over recent years. This interest is partly due to their high degree of semantic detail, given that users check-in at places which are categorized by a relatively well-defined taxonomy. One associated prevalent task, in research as well [...]
COST action IC1203 is a European Network Exploring Research into Geospatial Information Crowdsourcing: software and methodologies for harnessing geographic information from the crowd (ENERGIC). The action has been greatly active in the past 3 years and is now delivering the results via their website as well as their Youtube channel.
One of the outputs of this action [...]
Recently, a new open access handbook edited by Capineri, et.al and supported by the European Commission - COST Action IC1203 (ENERGIC) has been published.
This book focuses on the study of the remarkable new source of geographic information that has become available in the form of user-generated content accessible over the Internet through mobile and Web [...]