Tag: machine-learning
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Exploring the Value of Microsoft ML Roads for OSM Data Quality Analysis
The completeness of the OpenStreetMap (OSM) road network has been an ongoing focus for researchers for more than 15 years. For instance, Neis et al. (2011) investigated the OSM street network evolution in Germany and compared it against road data from TomTom. Whereas obtaining reference data has been rather difficult in the past, nowadays we…
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Online seminar ‘Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap’
We invite to the upcoming online seminar at the Urban Analytics Lab seminar series at the National University of Singapore (NUS): ‘Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap’ on 29 April (9am German time, 3pm Singapore time) By Hao Li, GIScience Research Group, Heidelberg University @GIScienceHD As an emerging topic,…
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Preview of 3DGeo @ EGU 2022 – Meet us there
The 3DGeo Research Group will present some of their latest research at EGU General Assembly 2022. We are looking forward to meet you at the following talks: Virtual Laser Scanning using HELIOS++ – Applications in Machine Learning and Forestry: The presentation provides an introduction to VLS, possible use cases, pitfalls and best practices for successful…
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Job Offer: “Lead: Geo Machine Learning for Good” Senior Spatial Data Science Expert (m, f, d) 100% permanent, HeiGIT gGmbH
Job advertisement HeiGIT gGmbH 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 applications in the field of sustainability, mobility and humanitarian aid? That’s our mission…
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We are Hiring! Several new GIScience Jobs in sight in Heidelberg at HeiGIT
You are interested in contributing to research and development to support decision making in the field of sustainability, mobility and humanitarian aid? You want to achieve a better society and environment by improving open geoinformation and geoinformation technology? Help us to accomplish this through open geoinformation, open methods, open software and close collaboration with our…
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Job Offer: “Lead: Geo Machine Learning for Good”, Senior Spatial Data Science Expert (m, f, d), 100%, permanent, HeiGIT gGmbH
Du willst Deine Machine Learning Kompetenz zum Wohle der Gesellschaft und Umwelt einsetzen? Du willst die Verfügbarkeit und Qualität von Geodaten verbessern und geoinformatische Methoden weiterentwickeln, die für offene, gemeinnützige Anwendungen im Bereich Nachhaltigkeit, Mobilität und humanitäre Hilfe eingesetzt werden? Das ist auch unsere Mission! Die HeiGIT gGmbH ist ein forschungsorientiertes, gemeinnütziges Start-up mit den…
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Stellenausschreibung Geoinformatik Heidelberg – Project GeCO: Generating high-resolution CO2 maps by Machine Learning-based geodata fusion
Stellenausschreibung Universität Heidelberg – GIScience Wissenschaftliche Mitarbeiter:in Geoinformatik – Projekt GeCO GeCO: Generating high-resolution CO2 maps by Machine Learning-based geodata fusion Du hast Interesse an Klimawandel, Treibhausgasemissionen und innovativen Geoinformatik-Methoden? Im Rahmen des vom Heidelberg Center for the Environment (HCE) durch die Exzellenzstrategie geförderten Kooperationsprojektes GeCO suchen wir baldmöglichst nach einer wissenschaftlichen Mitarbeiter:in (m/f/d). Die…
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New Project: GeCO: Generating high-resolution CO2 maps by Machine Learning-based geodata fusion and atmospheric transport modelling
Recently a new project has been starting in the context of Climate Change Action research: GeCO: Generating high-resolution CO2 maps by Machine Learning-based geodata fusion and atmospheric transport modelling The spatiotemporal distribution of greenhouse gases and their sources on Earth has so far been considered mainly at relatively coarse resolutions. There is a lack of…
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GIScience and HeiGIT contributions to AGILE 2021 conference
The AGILE 2021 conference is taking place this week. It is the the 24rd AGILE conference on GIScience. AGILE is the Association of Geographic Information Laboratories in Europe and the 2021 conference is for the first time held as a virtual conference. As in earlier years GIScience Heidelberg and HeiGIT are contributing to the conference with several…
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UndercoverEisAgenten – “UndercoverEisAgenten” – Enabling Citizen Scientists to Monitor Permafrost Degradation
(English version below) Die Folgen des Klimawandels sind besonders stark in den höheren Breiten unseres Planeten zu spüren. Die Arktis erwärmt sich derzeit überdurchschnittlich schnell. Dies führt zum Auftauen von Permafrost (dauerhaft gefrorenen Böden) mit ernsthaften Konsequenzen für das arktische Ökosystem. Etwa ein Viertel der Landfläche in der Nördlichen Hemisphäre ist durch Permafrost gekennzeichnet. Darin…
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Talk: Deep Learning for Point Cloud Processing
Lukas Winiwarter of the 3DGeo group was invited by the Austrian Society of Surveying and Geoinformation (OVG) to give a talk on the application of deep learning on point clouds, which took place on March 24. In his talk, Lukas presented four different state-of-the-art approaches to consider the irregular, unordered structure of point clouds, which…