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HeiGIT

Wir kooperieren eng mit der HeiGIT gGmbH, An-Institut an der Universität Heidelberg. Das Heidelberg Institute for Geoinformation Technology (HeiGIT gGmbH) betreibt im Bereich Geoinformatik angewandte Forschung und Technologietransfer von der Forschung in die Praxis.

Schwerpunkte:

• Navigation Intelligence and Location-based Services
• Big Spatial Data Analytics
• Volunteered Geographic information for Humanitarian Aid

Current GIScience Projects

• GEODYNAMO4D – Tracing geographic dynamics on 4D Point Clouds
• AHK-4D - High-resolution and high-frequency monitoring of the rock glacier Äußeres Hochebenkar (AHK) in Austria
• Geomorph4D – Characterising multi-process geomorphic change through high spatial- and high temporal-resolution monitoring
• Landcover monitoring with emphasis on vegetation under the climatic change pressure using multitemporal and multisource remote sensing data fusion (4EU+ University Alliance)
• SYSSIFOSS - Synthetic structural remote sensing data for improved forest inventory models (DFG)
• ER3DS - Emission Reduction in Smart Cities Using 3D Spatial Sensing and Analysis (BMBF)
• meinGrün - Informationen und Navigation zu urbanen Grünflächen in Städten
• Waterproofing Data
• Heterogeneity and Convergence in Shared Data Sources. The Importance of cognitive Coherence in Collective Decision Making (Heidelberg Academy of Sciences and Humanities)
• DeepVGI – Deep Learning Volunteered Geographic Information
• Heidelberg LiDAR Operations Simulator HELIOS – a highly flexible laser scanning simulation framework
• LandSense – A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring (EU Horizon 2020)
• A framework for measuring the fitness for purpose of OpenStreetMap data based on intrinsic quality indicators (DFG VisVGI)
• Spatial Correlations in Social Media Data: Identification and Quantification of Spatial Correlation Structures in Georeferenced Twitter Feeds (DFG VisVGI)
• 3D-TAIGER: Multi-Source 3D Geoinformation Extraction for Improved Management of Forest and Natural Hazards – Collaboration between TAIwan and GERmany
• Zur agentenbasierten und qualitätsbewussten Integration von Daten aus geosozialen Netzwerken – Datenintegration als gemeinschaftlicher Verhandlungsprozess (DFG)
• WeGovNow – Towards We Government: Collective and participative approaches for addressing local policy challenges (EU Horizon 2020)
• 4DEMON – 4D Near Real-Time Environmental Monitoring
• PermaSAR – Development of a Method to Detect Subsidence by Means of D-InSAR in Permafrost Regions
• NEOHAZ: NEOgeography of a Digital Earth: Geoinformation Science as Methodological Bridge in Interdisciplinary Natural HAZard Analysis
• Psychogeography – Psychoepidemiology and HealthGIS in the Metropole Region Rhein-Neckar (Psychoepidemiologisches Zentrum PEZ @ ZI Mannheim)
• LS-VISA – 3D Laser Scanning – Vegetation Investigation and Signature Analysis
• OpenrouteService.org (inkl. Rollstuhlrouting
• Netzwerk – Geoinformation der Metropolregion Rhein-Neckar, GeoNet.MRN
• OSM Landuse/Landcover – Karte über Landnutzungsinformationen basierend auf OpenStreetMap

Laufende Promotionsvorhaben

• Crowd as a Sensor
• 3D Laser Scanning – Vegetation Investigation and Signature Analysis
• Spatio-temporal Warehouse Databases
• VGI Data quality for special needs
• Advancing 3D WebGIS - browser-based Methods for Visualization and Analysis and their Integration in Virtual Research Environments in the Context of Cultural Heritage
• Quality Assurance in Citizen Science Data
• Cultural Influcences on Landmark Specific Navigation
• Generating Indoor Data from the Crowd

Abgeschlossene Promotionsvorhaben

• Dr. Johannes Lauer: Extraction of routing relevant geodata using telemetry sensor data of agricultural vehicles
• Dr. Martin Hämmerle: The Analysis of 3D Point Clouds Acquired with Low-Cost Methods for Geoscientific Research on Natural Objects
• Dr. Ming Li: Leveraging the Wisdom of the Crowd from Location-based Social Networks: Theoretical Potentials and Practical Applications
• Dr. Enrico Steiger: Explorative Spatial and Temporal Human Mobility Analysis from User-Generated Data
• Dr. Julian Hagenauer: Artificial Neural Networks: Methods and Applications in Spatial Data Mining
• Dr. Yeran Sun: Investigating Potential of VGI Data for Revealing Spatial and Temporal Patterns of Human Activity
• Dr. Lucy Mburu: Geographic profiling of crime patterns
• Spatial-temporal Analysis of Human Activities reflected by Crowdsourced GI (VGI), e.g. Flickr
• Dr. Pascal Neis: Analyse der Qualität nutzergenerierter Geodaten zur Realisierung von Routenplanungen für Menschen mit Einschränkungen
• Dr. Marcus Götz: Using Volunteered Geographic Information for an Automated Provision of Indoor Location Based Services
• Dr. Maksim Rylov: Models and Methods for Cartographic Label Placement
• Dr. Arne Schilling: 3D Spatial Data Infrastructures for web-based Visualization
• Dr. Hossein Shafeezahdeh: Exploring and Simulating Spatial Patterns of Urban Growth Using Data-driven and Knowledge-based approaches