Month: June 2020

  • A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks

    Multi-sensor remote sensing image classification has been considerably improved by deep learning feature extraction and classification networks. In this recent paper, we propose a novel multi-sensor fusion framework (CResNet-AUX) for the fusion of diverse remote sensing data sources. The novelty of this paper is grounded in three important design innovations: A unique adaptation of the…

  • Sphinx is ohsome – new documentation of the ohsome API

    What does the tool behind the recently published documentation of the ohsome API have in common with a statue made of stones in Egypt? – Apart from the name, both are of course awesome (and now also ohsome). As previously announced, together with the open source release 1.0 of the ohsome API, we have published a…

  • Transdisciplinary study on climate change adaptation featured in Heidelberg University Newsroom

    No place for climate change: A recent transdisciplinary study on the viability of public spaces in cities under increasing heat was featured in the official Heidelberg University Newsroom (English version here). The study has been conducted by a Heidelberg research team led by Dr. Kathrin Foshag and investigated the heat stress in selected urban squares…

  • Humanitarian OpenStreetMap Team has been selected by the Audacious Project

    The Humanitarian OpenStreetMap Team (HOT) has announced major financial support from the Audacious Project, which will be provided over the next five years. HOT aims to use this funding to grow OpenStreetMap (OSM) communities in 94 countries. By engaging one million volunteers the goal is to map an area home to one billion people living…

  • Exploring OSM for healthcare access analysis in Sub-Saharan Africa

    [tl;dr] Using hospital locations and the ORS Isochrone service, we have created a method for comparing physical access to healthcare in Sub-Saharan Africa. Hospital locations were derived from OpenStreetMap and compared against another free available dataset. Results indicate strong similarity in both hospital datasets, however the uncertainty of our method requires further evaluation. Figure 1…

  • ohsome API 1.0 is here

    As we’ve announced it in a previous post, the Open Source release 1.0 of the ohsome API has finally arrived. As a reminder, or for those of you that hear “ohsome” for the first time, the aim of the ohsome OpenStreetMap History Data Analytics Platform is to make OpenStreetMap’s full-history data more easily accessible for various kinds…

  • Going green with MeinGrün – Today App launch in Heidelberg and Dresden

    Today the time has come: The “meinGrün” web app for Dresden and Heidelberg is officially launched. With the mobile application you can (re-)discover known and unknown green spaces and find a pleasant route to those. Users can learn about the functions of the app via virtual scavenger hunt. The app is the result of the…

  • Virtual disastermappers heidelberg OSM Mapathon “Mapping Human Rights” June 30th

    In scope of the disastermappers heidelberg mapathon series “Open Data & the Sustainable Development Goals”, the next virtual OpenStreetMap mapping event “Mapping Human Rights” will take place on Tuesday, June 30th from 6 pm, in cooperation with Amnesty International Heidelberg. Amnesty International Heidelberg will give us insights into Human Rights and the work of Amnesty International.…

  • Data Journalism WebApp about Accessibility in Sweden according to Corona Travel Recommendations

    Sveriges Television AB (the public Swedish television company) has published a data journalism WebApp showing how far one can travel according to the recommendations from the Swedish Public Health Authority. Of course the safest recommendation is not to travel at all during the corona crises – but if one absolutely has to, shorter trips of…

  • Mit „meinGrün“ ins Grüne – Projekt startet WebApp in Heidelberg und Dresden

    Am 19. Juni ist es soweit: Die „meinGrün“-WebApp für Dresden und Heidelberg geht offiziell an den Start. Mit der mobilen Anwendung lassen sich bekannte und unbekannte Grünflächen und der Weg dorthin neu entdecken. Per virtueller Schnitzeljagd können Nutzerinnen und Nutzer die Funktionen der App kennenlernen. Die App ist Ergebnis des Projektes meinGrün. Dieses wird im…

  • Exploration of OpenStreetMap Missing Built-up Areas using Twitter Hierarchical Clustering and Deep Learning in Mozambique

    Accurate and detailed geographical information digitizing human activity patterns plays an essential role in response to natural disasters. Volunteered geographical information, in particular OpenStreetMap (OSM), shows great potential in providing the knowledge of human settlements to support humanitarian aid, while often the availability and quality of OSM remains a major concern. The majority of existing…