Universitätssiegel
HeiGIT
 
Address
Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg
 
 
Head
 
Office
Bettina Knorr
Im Neuenheimer Feld 368
Room 108, 1. OG
D-69120 Heidelberg
knorr@uni-heidelberg.de
Tel: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Core Funded by
KTS - Klaus Tschira Stiftung gemeinnützige GmbH
 

Establishing the Heidelberg Institute for Geoinformation Technology

core funded by the Klaus Tschira Stiftung

Big Spatial Data Logo

The project to establish a Heidelberg Institute for Geoinformation Technology (HeiGIT) is part of the GIScience Research Group at the Department of Geography, Heidelberg University. The objective is to facilitate the transfer of knowledge and technology from academia to practical applications and professional services. The focus lays on the analysis, refinement, enrichment and usage of big spatial data from the crowd for innovative applications and services.

We focus initially on three areas:

  • Big Spatial Data Analytics,
  • Navigation Intelligence and Location Based Services and
  • Innovative Services for Disaster Management.

Big Spatial Data Analytics Navigation Intelligence & Location Based Services
Analyses, Quality Assurance, Refinement and Utilisation of Crowdsourced Geographic Information from the Web using Data Mining and Geocomputation

Services and References
Innovative Traffic- and Mobility Solutions, Routing- and Navigation Services based on enhanced data from different sources including OpenStreetMap and the Social Web.

Services and References

Disaster Mapping – VGI for Humanitarian Support
Supporting humanitarian activities by developing up-to-date disaster maps and providing innovative GI services during catastrophes and for mitigating risk.

Services and References

Recent News:

16.10.2018 17:54
Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks

Our feature paper “Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks” is now published online. Recently, convolutional neural networks (CNN) have been intensively investigated for the classification of remote sensing data by extracting invariant and abstract features suitable for classification. In this paper, a novel framework is proposed for the fusion of hyperspectral images [...]

16.10.2018 12:30
HeidelErg - live from the Erg Chebbi in Morocco (#6): Exploring physical geography and 3D GIScience in an aeolian sand dune field.

Yesterday, the practical field trip in the Erg Chebbi ended and the majority of the group arrived safely in Heidelberg. Another part of the group and the equipment are still on their way back via car and ferry. After several days in the field, we are already very excited to start working on the large amount [...]

15.10.2018 19:56
Visit Openrouteservice this week at INTERGEO 2018 in Frankfurt at the BKG booth

We are happy to announce that we are going to be part of INTERGEO 2018 in Frankfurt this week on October 16.-18. This event being the “global hub of the geospatial community” has quite something to offer with hundreds and hundreds of innovative companies showcasing their products and visions. We are joining up with the Federal Agency for Cartography and Geodesy [...]

14.10.2018 11:00
HeidelErg - live from the Erg Chebbi in Morocco (#5): Exploring physical geography and 3D GIScience in an aeolian sand dune field.

On Thursday and Friday our group went further into the Erg in order to extend measurements from the last years on a large star dune arm and then spent one night in a dune camp. Yesterday was the last day of field work in the Erg.The TLS group completed the data acquisition on a star dune and [...]

12.10.2018 14:07
Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping

Our paper about Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping is available online now. Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep learning [...]

11.10.2018 10:30
HeidelErg - live from the Erg Chebbi in Morocco (#4): Exploring physical geography and 3D GIScience in an aeolian sand dune field.

During the last three days of field work we not only acquired a lot of data at different sites in the Erg Chebbi. We also experienced various weather conditions including two sand storms, rain and sunny and hot days. Yesterday, one group measured ground control points for satellite and photogrammetric point cloud data with an RTK [...]

10.10.2018 14:57
Explore the ohsome OSM History of whole Germany

Our new ohsome dashboard is another preview on what is and will be possible with our ohsome OpenStreetMap history analytics platform. Behind the scenes, we added support for the Apache Ignite big data framework and deployed an instance using the full OSM history data of whole Germany on Heidelberg University’s cloud computing infrastructure heiCLOUD. Apache Ignite is an open-source [...]

09.10.2018 11:00
HeidelErg - live from the Erg Chebbi in Morocco (#3): Exploring physical geography and 3D GIScience in an aeolian sand dune field.

Data acquisition in the Erg Chebbi has now started. In different groups several measurement techniques (drilling, electrical resistivity tomography, ground penetrating radar, sediment analysis, RTK GNSS, terrestrial laser scanning) were applied. Find some impressions in the pictures below.

08.10.2018 08:57
openrouteservice elevation goes farther north than ever before

Last week we have been upgrading the openrouteservice, and with that has come the ability to include elevation information in routing pretty much anywhere on the globe (sorry people on Antarctica, but we don’t have routing for you just yet). So if you want to know the elevation and steepness of your drive from Svalbard [...]

06.10.2018 18:15
HeidelErg - live from the Erg Chebbi in Morocco (#2): Exploring physical geography and 3D GIScience in an aeolian sand dune field.

After the participants of the practical field training had arrived in Fès yesterday and spent the evening there, the group is now on the way to the Erg Chebbi east of the Anti-Atlas mountains. Thereby, the group passes various gemorphologic landscape units including the Western Meseta, Middle Atlas and High Atlas mountains. Moreover, we crossed [...]

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Latest Revision: 2018-08-15
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