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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 Journal [...]

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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 soil-plant-atmosphere [...]

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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 a [...]

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“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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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 greenery are [...]

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Urban green spaces (UGSs) can provide important ecosystem services for citizens and their well-being. To make use of these services according to UGS user demands, urban residents, tourists, and city administrations should know where UGSs are located, what qualities they have and how to reach them on convenient routes. A new open access paper at [...]

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In the SYSSIFOSS project, we are investigating how we can take advantage of virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, in forestry applications. These applications include survey planning and optimization, sensitivity analyses, and algorithm development. For example, VLS may be used to investigate the influence of different sensor and [...]

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OpenStreetMap (OSM) is a global mapping project which generates free geographical information through a community of volunteers. OSM is used in a variety of applications and for research purposes. However, it is also possible to import external data sets to OpenStreetMap. The opinions about these data imports are divergent among researchers and contributors, and the [...]

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A recently published article in ‘Current Opinion in Environmental Sustainability‘ investigates the role of digital technologies and data innovations, such as big data and citizen-generated data, to enable transformations to sustainability. We reviewed recent literature in this area and identified that the most prevailing assumption of work is related to the capacity of data to [...]

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Our forest laser scanning dataset collected in the frame of the SYSSIFOSS project is now openly available through the PANGAEA Data Publisher:
Weiser, H., Schäfer, J., Winiwarter, L., et al. (2021): Terrestrial, UAV-borne and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements. PANGAEA, https://doi.org/10.1594/PANGAEA.933426
Until [...]

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