Month: September 2016
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Third Arctic Expedition to Trail Valley
The third arctic expedition to Trail Valley, located about 50 km north of Inuvik, NWT, Canada, concludes the field work within the PermaSAR project. Sabrina Marx, Katharina Anders (both: LiDAR Research Group, Heidelberg University) and Julia Boike (Alfred Wegener Institute, Potsdam) stayed a week in the research camp. We were not only able to acquire…
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3D data acquisition in the Ötztal Alps – Exploring 3D GIScience on the “Monster of Rock”
As part of the practical field training “3D Geodatenerfassung im Hochgebirge (Ötztal), 31 July – 06 August”, the rock glacier “Äußeres Hochebenenkar” (42 ha), located in the Ötztal Alps in an elevation of 2,630-2,800 m a.s.l., was explored by 16 students under the direction of Bernhard Höfle, Stefan Hecht and Martin Hämmerle. With the help…
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3D-TAIGER Summer School 2016 in Heidelberg
From 5-7 September 2016 the GIScience Heidelberg Group hosted a summer school within the collaboration and exchange project 3D-TAIGER (’Multi-Source 3D Geoinformation Extraction for Improved Management of Forest and Natural Hazards – Collaboration between TAIwan and GERmany’). The summer school is a follow-up of the kickoff meeting in Tainan in April this year. The first…
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Full-Waveform Airborne Laser Scanning in Vegetation Studies—A Review of Point Cloud and Waveform Features for Tree Species Classification
In recent years, small-footprint full-waveform airborne laser scanning has become readily available and established for vegetation studies in the fields of forestry, agriculture and urban studies. Independent of the field of application and the derived final product, each study uses features to classify a target object and to assess its characteristics (e.g., tree species). These…
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Crowdsourced Classification of 3D Point Clouds
Within the 3D-MAPP project we currently developed a workflow and a web based tool, that allow volunteers (and experts) to classiffy 3D point clouds in just a few seconds. The approach combines the point cloud interpretation skills of humans and the scalability of crowdsourcing. Furthermore, crowdsourced geographic information can be of high value to automated…