Tag: Earth Observation

  • New Paper and Data: 4D Point Clouds of a Beach-Dune System

    A new data article on “A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands” was just published in Scientific Data. Along with the fully openly available dataset, the article presents insights into the importance of frequent and spatially detailed surface measurements – and what to do with them. Get directly […]

  • New DFG project: IdealVGI – Deep Learning with OSM

    Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin. IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from […]

  • Machine Learning for Space and Earth Observation Data (ML-SEOD) 2019 at ICCSA

    Machine Learning for Space and Earth Observation Data (ML-SEOD) 2019 Call for Papers The Earth and Space environments are being monitored by an unprecedented amount of sensors: Earth observation satellites, sensor networks, telescopes working in different wavelengths, human records of Earth and Space events, etc. This generates a huge amount of raw data that must […]

  • Auto3Dscapes for 4D Beach Observation

    How does a sandy beach naturally restore after a storm event? Invaluable information on this process is provided by a highly temporal (hourly) time series of 3D point cloud data acquired over several months at the beach of Kijkduin (NL). The permanent LiDAR system is operated by a team of TU Delft researchers in the […]

  • Continuing ground-based measurements at Arctic research site

    For the fourth consecutive year, ground-based measurements of the dynamic, permafrost-underlain tundra landscape have been continued in Trail Valley (68°44’25” N 133°29’36” W). A team of permafrost researchers from the Alfred Wegener Institute (AWI) for Polar and Marine Research around PD Dr. Julia Boike conducted the measurements as part of a large expedition to the Canadian Northwest […]

  • Full publication of multitemporal multisensor dataset from an Arctic permafrost research site

    The multisensor datasets acquired in the three field campaigns of the PermaSAR project have recently been published on the Open Access data library PANGAEA: Anders, K., Antonova, S., Beck, I., Boike, J., Höfle, B., Langer, M., Marsh, P., Marx, S., (2018): Multisensor ground-based measurements of the permafrost thaw subsidence in the Trail Valley Creek, NWT, […]

  • 4D-LiDAR Snow Cover Monitoring at the Highest Summit of Germany

    The all-new terrestrial laser scanner (TLS) of the 3DGeo group (Prof. Bernhard Höfle) has been set up at the Environmental Research Station Schneefernerhaus over one week (mid of April 2018) to capture a unique highly temporal time series of the melting and degrading snow cover during the April’s week with the warmest daily maximum temperatures […]

  • Auto3Dscapes Makes Environmental Monitoring Smarter

    … by acquiring data only when and where changes occur. In this project on Autonomous 3D Earth Observation of Dynamic Landscapes (Auto3Dscapes), a novel strategy of permanent 3D observation will be developed incorporating observed topographic changes as feedback and dynamically adapting the acquisition parameters and analysis methods. Permanent 3D Earth observation is currently challenged by […]

  • Invitation: Colloquium Talk by Prof. Shunichi Koshimura on Earth Observation in Tsunami Disaster Response and Management

    We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, January 30, on the use of satellite imagery, which is becoming more and more accessible and available in near real-time, for risk analysis and disaster response. Prof. Shunichi Koshimura presents evidence of the value of earth observation, used in combination […]

  • How to find the fastest way out of a dense human crowd using your smartphone?

    In our research “Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery“, we propose a navigation approach for smartphones that enables visitors of major events to avoid crowded areas or narrow streets and to navigate out of dense crowds quickly. Two types of sensor data are integrated. Real-time optical images acquired […]