GIScience News Blog
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Data publication: Point clouds of snow-on and snow-off forest site
A new dataset of UAV and terrestrial laser scanning point clouds of snow-on and snow-off conditions at a Black Forest site (Hundseck, 48.643°N, 8.228°E) was published open access: Winiwarter, L., Anders, K., Battuvshin, G., Menzel, L. & Höfle, B. (2023): UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of…
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Job Offer: Deep Learning Engineer (m/f/d, up to 100%)
Are you a highly motivated individual who loves designing and developing machine learning and deep learning systems? Do you want to use your machine learning expertise for the benefit of society and the environment? Do you want to improve the availability and quality of geospatial data and further develop geoinformatics methods used for open, non-profit…
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GIScience Postdoc/Senior Researcher Opportunity for OpenStreetMap Road Quality Analysis
If you’re on the job market or know someone who is, check out this exciting new opening from our partners at GIScience. The offer is included as text below. You are interested in enhancing methods for analyzing & improving OpenStreetMap data? You are an experienced Spatial Data Scientist innovating geoinformatics methods & workflows? You have…
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Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019
Featured Image: Road network analysis for the driving profiles. A Normal conditions before the flood event. B Evolution of scores after the floods induced by Cyclone Idai. The lower row shows a close-up of the area surrounding the city of Dondo The ability of disaster response, preparedness, and mitigation efforts to assess the loss of physical access to health…
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New paper on the automatic characterization of surface activities from 4D point clouds
An approach for automatic characterization of surface activities from large 4D point clouds is presented in a new paper by Daan Hulskemper et al. in collaboration between the 3DGeo research group and the departments of Geoscience and Remote Sensing and Coastal Engineering at TU Delft. Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, M.,…
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OSHDB Version 1.0 Has Arrived
Featured Photo: Ohsome dashboard interface for Heidelberg, Germany. In the words of Confucius, “The man who moves a mountain begins by carrying away small stones.” As we release OSHDB (OpenStreetMap History Database) Version 1.0, we look back at versions 0.5, 0.6, 0.7, and all the other small improvements to our historical OpenStreetMap database as the…
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Job Opening for Postdoc / Senior Researcher on OpenStreetMap Road Quality Analysis
If you’re on the job market or know someone who is, check out this exciting new opening at GIScience. The offer is included as text below! You are interested in enhancing methods for analyzing & improving OpenStreetMap data? You are an experienced Spatial Data Scientist innovating geoinformatics methods & workflows? You have profound hands-on experience…
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Geography Awareness Week 14.-19.11.2022
Der Klimawandel, Grenz- und Wasserkonflikte stellen enorme Herausforderungen für die aktuelle und kommenden Generationen dar. In all diesen Bereichen und darüber hinaus bietet die Geographie einmalige Chancen, zielgerichtet Lösungen zu erarbeiten. Das Geographische Institut der Universität Heidelberg möchte gemeinsam mit der Fachschaft Geographie, dem HeiGIT(Heidelberg Institute for Geoinformation Technology), GeoDACH e.V. und anderen internationalen Partnerorganisationen Aufmerksamkeit auf das Fach Geographie und…
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Open Data: Multi-platform point clouds and orthophotos of the inland dune in Sandhausen
The commune Sandhausen (Baden-Württemberg) got its name from the inland dune, which is located in the area of the village. In 2021 and 2022, the 3DGeo group of Heidelberg University conducted UAV-based and ground-based surveys of three areas of the inland dune of Sandhausen to acquire 3D point clouds and orthophotos. The dataset is freely and…
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Time to celebrate! oshdb has reached an object count of >10 billion!
As of 02.11.2022 we have reached objects 10,107,826,483* in our oshdb. As such, we think it is most definitely time to celebrate! *For information on the background this figure, read our Basic guide to OSM data filtering 😉 This blog post is all about reaching 10 billion objects in OpenStreetMap. For the database to aggregate such…
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Near realtime OpenStreetMap data and stats: OSHDB and ohsome API are now updated hourly
We have exciting ohsome news! As many of you know, past OSHDB updates happened weekly and led to a delay between the data in OpenStreetMap (OSM) and our database. Basically, you had to wait up to a week to see changes in OSM reflected in the OSHDB. From this point forward, that lag is a…
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ohsome Region of the month – Temporal OSM developments in Kyiv
Welcome back to our ohsome region of the month series! In this post, we’ll take a look at the temporal development of highways and added smoothness-information, as well as social facilities and updates on map development for Kyiv. Before we start, if you’re new to the series, make sure to check out previous installments of…
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