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CALL FOR PAPERS –  18th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2021)
May 23-26, 2021, Virginia, USA – https://www.drrm.fralinlifesci.vt.edu/iscram2021/ Virginia Tech
Track: Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)
https://www.drrm.fralinlifesci.vt.edu/iscram2021/files/CFP/ISCRAM2021-Track10-Geospatial_Technologies
Deadline for paper submissions: December 6, 2020

* Track Description
With crisis and hazardous events being an “inherently spatial” problem, geospatial information and [...]

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We launched a validation campaign of our new 10meter resolution OSMlanduse product for the member states of the European Union. Please contribute to the validation here. A technique where contributions are checked against each other is implemented to promote quality of information. The mapathon comes in four themes: nature, urban, agriculture or expert.
While the expert campaign [...]

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Find here a new update of the OSMlanduse.org map. By injecting known tags provided by OpenStreetMap (OSM) into a remote sensing feature space using deep learning, tags were predicted when absent thus creating a contiguous map - initially for the member states of the EU. By design our method can be applied when- and wherever [...]

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We are happy to share that our paper “A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis” (Barron, Neis, Zipf 2013) belongs to the top 5 most cited papers of the international journal “Transaction in GIS” (TGIS). Only recently we became aware of this. Thank you for considering this work.
Certainly this paper influenced also our work [...]

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A recently published paper provides a bibliometric review between integration of authoritative and volunteered geographic information (VGI) for the specific purpose of cartographic updating of urban mappings. The adopted methodology was through a bibliometric survey of the literature published by Web of Science and Science Direct. The period was evaluated from 2005 to 2020 and [...]

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Semantically rich maps are the foundation of indoor location‐based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., shape of room) and a few semantics (e.g., stairs and furniture) but often still neglect room usage. To mitigate the issue, a new published paper [...]

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After more than a decade of rapid development of volunteered geographic information (VGI), VGI has already become one of the most important research topics in the GIScience community. Almost in the meantime, we have witnessed the ever-fast growth of geospatial deep learning technologies to develop smart GIServices and to address remote sensing tasks, for instance, [...]

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Am 02.07. besuchte eine Delegation von Alumni von “Jugend präsentiert” im Rahmen der diesjährigen Summer School REMOTE von “Jugend präsentiert” das Heidelberg Institute for Geoinformation Technology (HeiGIT gGmbH) an der Universität Heidelberg. Aufgrund der Corona-Pandemie fand der Besuch allerdings nur virtuell statt: Prof. Alexander Zipf berichtete und diskutierte in einem Online-Meeting mit den Teilnehmerinnen über die [...]

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HeiGIT gGmbH is One Year Old Today!

Today (1st July 2020) marks the first birthday of HeiGIT gGmbH! Over this first year, HeiGIT, the Heidelberg Institute for Geoinformation Technology at Heidelberg University has been involved a large number of events, projects, publications, and press coverage. Founded on the 1st July 2019, HeiGIT is a non-for-profit organisation receiving core-funding [...]

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We are pleased to share that because of the response to our work, ISPRS IJGI selected our paper on Detecting Graffiti with Street View Images and Deep Learning to be highlighted as a title story through some graphics on the journals main page.

Novack T, Vorbeck L, Lorei H, Zipf A. (2020): Towards Detecting Building Facades with [...]

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