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Monthly Archive for June, 2020

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 [...]

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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 [...]

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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 in [...]

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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 [...]

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[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 Stacked barchart [...]

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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 [...]

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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 [...]

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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. [...]

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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 [...]

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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 [...]

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