Category: Publications
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GESIS Top Publication 2017
One of our recent publications (Bluemke, Resch, Lechner, Westerholt and Kolb 2017) was elected the “top publication 2017” for the research field of “research data management” at the Leibniz Institute for the Social Sciences (GESIS). The paper discusses methodological challenges common to both survey research and GIScience, and is expected to serve as the starting…
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3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis
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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Trace element partitioning in fluvial tufa reveals variable portions of biologically influenced calcite precipitation
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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Enrichment of OpenStreetMap Data Completeness with Sidewalk Geometries for Wheelchair Routing
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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CFP: ISPRS IJGI Special Issue “Volunteered Geographic Information: AnaLysis, Integration, Vision, Engagement (VGI-ALIVE)”
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…
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CFP: VGI-ALIVE Workshop at AGILE 2018, Lund, Sweden
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…
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Highly Cited Paper in Geosciences: Eitel, Höfle et al. (2016)
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…
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OSMlanduse.org + Remote Sensing = New conterminous land use data set for Germany released – filling gaps in OSM through machine learning
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…
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Context-Based Classification of Urban Blocks According to Their Built-up Structure
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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Deep Learning with Satellite Images and Volunteered Geographic Information
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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GIS @ ISCRAM – Call for SHORT PAPERS – DL: Jan 21
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…