Category: Publications
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Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection
Humans rely on clean water for their health, well-being, and various socio-economic activities. During the past few years, the COVID-19 pandemic has been a constant reminder of about the importance of hygiene and sanitation for public health. The most common approach to securing clean water supplies for this purpose is via wastewater treatment. To date,…
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Improving OpenStreetMap missing building detection using few-shot transfer learning in sub- Saharan Africa
OpenStreetMap (OSM) has been intensively used to support humanitarian aid activities, especially in the Global South. Its data availability in the Global South has been greatly improved via recent humanitarian mapping campaigns. However, large rural areas are still incompletely mapped. The timely provision of map data is often essential for the work of humanitarian actors…
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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…
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Zooming-in for climate action—hyperlocal greenhouse gas data for mitigation action?
While the international community has made progress in adopting goals and agreements in the field of climate change mitigation, efforts to reduce greenhouse gas (GHG) emissions are significantly lacking behind global ambitions for acceptable climate change. In a recently published perspective in the journal Climate Action, we discuss whether a window of opportunity for more…
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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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New paper on “improving change analysis with full temporal information”
In recently published work, we show how change analysis from near-continuous 3D time series improves by considering full temporal information. How can it be done? Using 4D objects-by-change! The method was applied to an hourly time series of terrestrial laser scans acquired for snow cover monitoring. In the snow-covered scene at the Zugspitze ski resort,…
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RAUM & ZEIT: Unter Beobachtung – Umweltmodelle in 4D
Was für Forschung und Ziele stecken denn hinter dieser Abbildung? In einem aktuellen Beitrag in der Zeitschrift Ruperto Carola erläutert Professor Höfle stellvertretend für die gesamte 3DGeo Heidelberg Forschungsgruppe, was Umweltbeobachtung in 4D bedeutet und hebt die Bedeutung von Open Science – Open Source – Open Access hervor: ABSTRACT: Rund um die Uhr beobachten Laserscanner…
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New Paper: Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification
Check out our new paper presenting a novel approach (correspondence-driven plane-based M3C2) to lower the uncertainty in 3D topographic change quantification (get free access here until 2 February 2022) Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M. & Höfle, B. (2022): Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS…
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3DGeo at AGU21 Fall Meeting
The 3DGeo research group is part of the AGU Fall Meeting from 13 – 17 December 2021 with the following topics and contributions: 1) Hypersurface Observation Network (Hyperon) — What it is and why we need it (Monday, 13 December 2021 16:00 – 18:00 CST) In the terrestrial domain, large biogeochemical and energetic uncertainties surround the…
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Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning
Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems. In…
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Impulse aus der Corona-Krise
“International erfolgreiche Wissenschaft ist bislang untrennbar verknüpft mit weltweiter Reiseaktivität. Der vor allem durch Flugreisen verursachte Treibhausgasausstoß steht im Widerspruch zum Klimaschutz. Die Corona-Krise wirkte disruptiv auf etablierte Praktiken des Austauschs und zeigte plötzlich Wege auf, die zuvor kaum denkbar waren. Doch was passiert nach der Pandemie? Wie kann es gelingen, auf den Erfahrungen aufbauend,…
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Today paper on green routing at GIScience conference 2021
The “11th International Conference on GIScience” 2021 started! Our full paper related to MeinGrün project and openrouteservice will be presented this Tuesday 13:30 CET in Session 3 “Mobility”: 13:30-13:45: Christina Ludwig, Sven Lautenbach, Eva-Marie Schömann and Alexander Zipf. Comparison of simulated fast and green routes for cyclists and pedestrians. Routes with a high share of…