The LOKI project, funded by BMBF, brings together GIScience, HeiGIT, and disaster response experts to develop a fast, reliable airborne system for post-earthquake assessments. It focuses on quickly mapping damage to critical infrastructure, such as roads, bridges, healthcare facilities, and schools. By integrating earthquake research with machine learning, crowdsourcing, UAVs, and 3D monitoring, LOKI aims to enhance situational awareness and response.
The IDEAL VGI project leverages OSM and VGI to enhance semantic content, assess data quality, and refine uncertainty in Earth observation data. Key goals include integrating complementary VGI streams, advancing machine learning for remote sensing, and automating OSM tag refinement. HeiGIT supports the project with its OSHDB technology and expertise.
The GIScience project OSM Landuse Landcover is a WebGIS application exploring landuse and landcover information in the OpenStreetMap database. Missing OSM data (gaps) in Europe are filled (ongoing) using data derived from Sentinel-2 10 m RGB imagery and deep learning methods. The project is supported by HeiGIT and uses the HeiGIT technology ohsome API.
The Healthcare Access Analysis project is a collaboration between openrouteservice and healthsites.io funded by HeiGIT. By analyzing and comparing the accessibility of healthcare facilities around the globe, by assessing data quality, and by detecting potential spatial patterns therein, the best way of transport to facilities can be determined. Healthsites.io provides the input data, which is then analyzed with the help of openrouteservice’s isochrone functionality.
The SocialMedia2Traffic project (BMVI mFUND – Modernity Fund) aims to use geocoded social media data in selected regions to predict the time-dependent traffic state of the road network. The data is to be generated for road sections and made available online. Transferability to other regions will be evaluated. The results will be used in openrouteservice to improve routing and estimate arrival times. HeiGIT is cooperating with the GIScience department of the University of Heidelberg.
The project 25 Mapathons, funded by the Klaus Tschira Foundation, aims to raise internal awareness of the potential of geoinformatics within the DRC and to collect relevant geodata for DRC projects. For this purpose, HeiGIT and the DRK organize events for DRK divisions and the Youth Red Cross in order to give an insight into the international work of the DRK and to collect map data for operational areas. This takes place in the form of jointly organized mapathons, events in which helpers jointly map areas not previously recorded in OSM.
The Healthsites Quality project funded by HeiGIT aims to develop a framework for assessing the quality of health-related data in OSM in terms of completeness, accuracy (temporal & technical), and trustworthiness, and for visualizing the development of OSM health data over time. This is accomplished by comparing OSM health data with health data from other sources (i.e. the WHO, healthsites.io, KEMRI, etc.). By providing critical information on the completeness and reliability of health data on OSM, targeted improvement of humanitarian aspect is accomplished. The project is based on HeiGIT’s ohsome API and supported with knowledge, ideas, and implementation tasks.
Where is the closest Covid-19 vaccination center and what is the best way to get there? A new route planning app helps you answer this questions by suggesting ways to the nearest vaccination center. You only have to enter a starting location or allow the automatic use of the position information on your smartphone and the route to the vaccination center can be displayed. The data from OpenStreetMap (OSM) is used as the data basis for both route planning and also for the vaccination centers. This first prototype version of the app is still under development and will be further improved.
HeiGIT’s “Map of Hope” provides a geographical overview of planned, ongoing, and completed clinical trials regarding COVID-19. The global scientific and medical communities have immediately responded to the new threat with focused research activities that in turn have led to clinical trials and scientific publications worldwide. This project aims to provide an up-to-date overview of these activities with links to the underlying sources as well as many informative maps to track the spread of the virus. Medical expertise is provided by Prof. Dr. Markus Ries from the Center for Pediatrics and Adolescent Medicine, University Hospital Heidelberg with support from Dr. Konstantin Mechler and Donna Smith. The data pre-processing and the service deployment is done by HeiGIT and geocoding was accomplished using HeiGIT’s openrouteservice API.
The mFUND project, with support from HeiGIT’s openrouteservice Team, integrated information about temporal road access/restrictions in openrouteservice and GraphHopper with the aim of enabling time-dependent and therefore more accurate routing by developing an algorithm that takes time constraints into account when calculating routes. The algorithm was then implemented in the commercial platform GraphHopper and the HeiGIT openrouteservice technolgy. The project was funded by the Federal Ministry of Transport and Digital Infrastructure as part of the mFUND initiative.
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Background imagery created with data from OpenStreetMap contributors