Category: Software

  • Impressions from Silvilaser 2023

    Impressions from Silvilaser 2023

    Last week, our PhD student, Hannah Weiser, joined Silvilaser 2023 at University College London (UCL). The conference covers cutting-edge science and technology from the laser scanning and forest communities, which is a perfect match for Hannah’s PhD topic and 3DGeo research in general. The week started off with interesting workshops on Tuesday using some of…

  • Training on digitalization of participatory mapping in Kuala Lumpur

    Training on digitalization of participatory mapping in Kuala Lumpur

    Featured Image: Training participants simulating a participatory mapping on the ground with the SketchMapTool. Last week, HeiGIT team member Anne Schauß held a workshop session in Kuala Lumpur, Malaysia, during a training of the International Federation of Red Cross and Red Crescent Societies (IFRC). The international training focused on community resilience and how to assess…

  • How to become ohsome part 15- Analysing Changes in OSM after the Earthquake in Syria and Türkiye in February 2023

    How to become ohsome part 15- Analysing Changes in OSM after the Earthquake in Syria and Türkiye in February 2023

    Featured Map: Percent change in each province of Türkiye  and Syria of buildings in OSM. Data from OpenStreetMap, visualized using QGIS and the ohsome API plugin. Welcome back to the how to become ohsome series! If you’re new to the series, you can check out the previous issues (like this one) or the ohsome Region of…

  • Introducing the VirtuaLearn3D Project

    With VirtuaLearn3D (Virtual Laser Scanning for Machine Learning Algorithms in Geographic 3D Point Cloud Analysis), a new project of the 3DGeo group has started. The focus of this project is to enable powerful machine learning algorithms for geographic point cloud analysis by advancing the concept of virtual laser scanning to overcome the lack of training…

  • 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…

  • 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…

  • 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…

  • 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…

  • ohsomeHeX with Quality indication from OQT

    The HeiGIT team had a great time at the State of the Map 2022 in Florence. Many thanks to the participants for the fruitful discussions at our workshop! Despite the direct use of OSM as a map, more and more organizations use OSM as a source of data for activities, services, or applications. “How good…

  • Human-in-the-loop development of spatially adaptive ground point filtering pipelines — An archaeological case study

    LiDAR data have become indispensable for research in archaeology and a variety of other topographic applications. To derive products (e.g. digital terrain or feature models, individual trees, buildings), the 3D LiDAR points representing the desired objects of interest within the acquired and georeferenced point cloud need to be identified. This process is known as classification,…

  • How to become ohsome part 14 – Advanced dashboarding

    Hello again and welcome back to our “How to become ohsome” series where we demonstrate how you too can become ohsome with ohsome API! If you’re new to the series or need a refresher, check out the older installments in our series, like this or this one covering the various ways of accessing ohsome API. And now to our…

  • How to become ohsome part 13 – An ohsome way to check if OSM is up to date

    At long last, welcome to another addition of our How to become ohsome-series! This one is special because we’re discussing a third-party application that uses ohsome API as back-end to accumulate historical OSM data. Although this innovation isn’t directly about our API, it’s close enough (and exciting enough) to merit inclusion and just one more opportunity for…