Universitätssiegel
Address
GIScience Research Group
Institute of Geography
Im Neuenheimer Feld 368
69120 Heidelberg
Germany
 
 
Secretary
Bettina Knorr
Im Neuenheimer Feld 368
69120 Heidelberg
Germany
 
Contact
knorr@uni-heidelberg.de
Phone: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Visitor information
Room 108,
Office hours:
Mon–Thu, 9 am–12 noon
 
Affiliations
HCE – Heidelberg Center for the Environment

IWR – Interdisciplinary Center for Scientific Computing
 
Memberships
Humanitarian
OpenStreetMap
missing maps
AGILE – Logo
OSGeo GeoForAll
ISDE – Logo
GeoIT
Geomer-mrn-Logo
 

GIScience / Geoinformatics Research Group

Titelbild

The GIScience Research Group is engaged in innovative basic and applied research at the interface between geography and the computational sciences. We thereby focus on the investigation of user-generated geographical content (VGI, Crowdsourcing, Citizen Science), for which we develop innovative methods and analytical approaches. More specifically, our thematic focuses are on volunteered geographic information (VGI), big spatial data analytics, smart mobility and humanitarian aid, such as disaster management. Through the Heidelberg Institute for Geoinformation Technology (HeiGIT gGmbH) at Heidelberg University, we have the opportunity to translate our research work into practical solutions. In addition, we support our institute's study programmes in geography with numerous courses on relevant GI methods that allow our students to formally specialize in geoinformatics.

Please note our vacancies.

Latest News

News from our daily work can be found at giscienceblog.uni-hd.de (also available as RSS-Feed). You can also follow us on Facebook and Twitter to stay up to date.

03.02.2023 14:00
High Resolution Data Insights from OpenStreetMap Element Vectorisation

One of the contributions showcased by the HeiGIT/GeoScience team in last year’s Free and Open Source Software for Geospatial (FOSS4G) 2022 conference in Florence (Italy) was Moritz Schott, Sven Lautenbach, Leonie Großchen, and Alexander Zipf’s novel paper “OpenStreetMap Element Vectorisation: A Tool for High Resolution Data Insights and its Usability in the Land-use and Land-cover [...]

01.02.2023 16:45
Data publication: Point clouds of snow-on and snow-off forest site

A new dataset of UAV and terrestrial laser scanning point clouds of snow-on and snow-off conditions at a Black Forest site (Hundseck, 48.643°N, 8.228°E) was published open access: Winiwarter, L., Anders, K., Battuvshin, G., Menzel, L. & Höfle, B. (2023): UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions [...]

01.02.2023 16:30
Job Offer: Deep Learning Engineer (m/f/d, up to 100%)

Are you a highly motivated individual who loves designing and developing machine learning and deep learning systems? Do you want to use your machine learning expertise for the benefit of society and the environment? Do you want to improve the availability and quality of geospatial data and further develop geoinformatics methods used for open, non-profit [...]

30.01.2023 15:50
GIScience Postdoc/Senior Researcher Opportunity for OpenStreetMap Road Quality Analysis

If you’re on the job market or know someone who is, check out this exciting new opening from our partners at GIScience. The offer is included as text below. You are interested in enhancing methods for analyzing & improving OpenStreetMap data? You are an experienced Spatial Data Scientist innovating geoinformatics methods & workflows? You have [...]

27.01.2023 16:35
Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019

Featured Image: Road network analysis for the driving profiles. A Normal conditions before the flood event. B Evolution of scores after the floods induced by Cyclone Idai. The lower row shows a close-up of the area surrounding the city of Dondo The ability of disaster response, preparedness, and mitigation efforts to assess the loss of physical access to health [...]

12.12.2022 17:11
New paper on the automatic characterization of surface activities from 4D point clouds

An approach for automatic characterization of surface activities from large 4D point clouds is presented in a new paper by Daan Hulskemper et al. in collaboration between the 3DGeo research group and the departments of Geoscience and Remote Sensing and Coastal Engineering at TU Delft. Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, [...]

28.11.2022 16:40
OSHDB Version 1.0 Has Arrived

Featured Photo: Ohsome dashboard interface for Heidelberg, Germany. In the words of Confucius, “The man who moves a mountain begins by carrying away small stones.” As we release OSHDB (OpenStreetMap History Database) Version 1.0, we look back at versions 0.5, 0.6, 0.7, and all the other small improvements to our historical OpenStreetMap database as the [...]

28.11.2022 16:11
Job Opening for Postdoc / Senior Researcher on OpenStreetMap Road Quality Analysis

If you’re on the job market or know someone who is, check out this exciting new opening at GIScience. The offer is included as text below! You are interested in enhancing methods for analyzing & improving OpenStreetMap data? You are an experienced Spatial Data Scientist innovating geoinformatics methods & workflows? You have profound hands-on experience [...]

14.11.2022 20:07
Geography Awareness Week 14.-19.11.2022

Der Klimawandel, Grenz- und Wasserkonflikte stellen enorme Herausforderungen für die aktuelle und kommenden Generationen dar. In all diesen Bereichen und darüber hinaus bietet die Geographie einmalige Chancen, zielgerichtet Lösungen zu erarbeiten. Das Geographische Institut der Universität Heidelberg möchte gemeinsam mit der Fachschaft Geographie, dem HeiGIT(Heidelberg Institute for Geoinformation Technology), GeoDACH e.V. und anderen internationalen Partnerorganisationen Aufmerksamkeit auf das Fach Geographie und [...]

07.11.2022 10:30
Open Data: Multi-platform point clouds and orthophotos of the inland dune in Sandhausen

The commune Sandhausen (Baden-Württemberg) got its name from the inland dune, which is located in the area of the village. In 2021 and 2022, the 3DGeo group of Heidelberg University conducted UAV-based and ground-based surveys of three areas of the inland dune of Sandhausen to acquire 3D point clouds and orthophotos. The dataset is freely and [...]

Pictures of the Group
GIScience Team

GIScience team at a jour fixe meeting in 2017

GIScience Team

GIScience team at a jour fixe meeting in 2014

GIScience Team

GIScience team at a retreat at Trifels-Annweiler in February 2013

GIScience Team

GIScience team at a jour fixe meeting in June 2012

In Memoriam Peter Meusburger
Peter Meusburger

On 18 December 2017, Prof. Dr. Dr. h.c. Peter Meusburger died far too soon. We mourn for a great scientist, teacher and colleague. In the mid 90s he implemented the first GIS pool at Heidelberg University and started GIS related research. He will not be forgotten. ((Message of the University)

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Latest Revision: 2021-06-12
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