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Crowdsourcing has been widely applied to extract information from 2D geodata sources such as satellite imagery. In this new study published in the ISPRS Journal of Photogrammetry and Remote Sensing we apply this technique to the growing field of 3D point cloud analysis. This work has been conducted in our 3D-MAPP Project which was funded [...]

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Freshwater tufas are widespread phenomena in karst environments denoting important terrestrial paleo-environmental and paleoclimate archives. Additionally, many tufa sites are UNESCO world natural heritages, which emphasizes their societal importance (e.g. Jiuzhaigou, China; Plitvice, Croatia) and the demand for comprehensive conservation and monitoring strategies. Formation of tufas is controlled by numerous factors. The latest publication - [...]

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Tailored routing and navigation services utilized by wheelchair users (such as provided by OpenRouteService.org ) require certain information about sidewalk geometries and their attributes to execute efficiently. Except some minor regions/cities, such detailed information is often not sufficiently present in current versions of crowdsourced mapping databases including OpenStreetMap. In a recent study (1) we aim [...]

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Call for Papers: ISPRS IJGI Special Issue “Volunteered Geographic Information: AnaLysis, Integration, Vision, Engagement (VGI-ALIVE)”
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: 30 November 2018
The steady rise of data volume shared on already-established and new Volunteered Geographic Information (VGI) and social media platforms calls for advanced analysis methods of user contribution [...]

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VGI-ALIVE
- AnaLysis, Integration, Vision, Engagement
Tuesday 12th June 2018, Lund, Sweden, Workshop at AGILE 2018
Introduction to the VGI-ALIVE Workshop
The steady rise of data volume shared on already established and new Volunteered Geographic Information (VGI) and social media platforms calls for advanced analysis methods of user contribution patterns, leads to continued challenges in data fusion, and provides also new opportunities [...]

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Point clouds and our 3DGeo research in Heidelberg are going beyond 3D, such as the new research project Auto3Dscapes.
A detailed analysis of this research frontier has been published in Eitel, Höfle et al. (2016): Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences. The paper has just become a highly cited [...]

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Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org.
When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using remote [...]

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A recently published paper presents an approach for classifying urban blocks according to their built-up structure based on high-resolution spaceborne InSAR images. Most attributes considered in the classification describe the geometric structure and spatial disposition of the polygon and line features extracted from each block. The feature extraction is carried out on two intensity images [...]

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Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the [...]

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15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018)
May 20-23, 2018, Rochester, NY, USA
https://iscram2018.rit.edu/submissions
Track: Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)
https://iscram2018.rit.edu/sites/rit.edu.iscram2018/files/docs/ISCRAM_2018_track_GIS.pdf
Deadline for paper submissions: December 10, 2017
Track Description
With disasters and disaster management being an “inherently spatial” problem, geospatial information and technologies have been widely employed for supporting disaster [...]

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