Category: Research
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PLATIAL’18 Workshop in September
The recent availability of user-generated geographic datasets allows gaining novel insights into otherwise hardly observable societal phenomena. Geosocial media forms one important source of user-generated information, which partly describes the everyday lives of people. The analysis of these kinds of data, however, requires new approaches. Geosocial media data—like those extracted from Twitter, Flickr, Instagram, and…
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A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and land-cover monitoring
The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large…
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HeiGIT/GIScience @ISCRAM 2018 Rochester- Exchange of latest crisis management practice and innovative ideas near a natural wonder of the world
Rochester NY, a small city located at Lake Ontario, became a gathering place for the international ISCRAM community last week. Researchers and practitioners from over 20 countries presented their latest work, ideas and needs related to crisis management at the 15th ISCRAM conference. Crisis and humanitarian management being one of the main focuses of the…
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Ohsome for Street Network Analysis and Disaster Activation Monitoring
Disaster mapping activations that are supported by many volunteers with various levels of experience raise questions related to the quality of the provided Volunteered Geographic Information. Learning about the data quality that can be expected in a disaster activation helps to evaluate the quality and fitness for purpose of the OSM data. At the ISCRAM…
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Ohsome Nepal Dashboard supports admin boundary selection
The Ohsome Nepal Dashboard has new features to enhance its usability and functionality. The user can now easily select administrative areas of interest through a new map interface. Different administrative levels can be selected by zooming in and out and afterwards just clicking or tapping on that specific region. This convenience feature makes it much faster…
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Ohsome – a high level architectural overview of the OSM History Analytics platform
Recently we introduced the ohsome platform for OSM History Analytics. Now we want to give you a high-level overview of the ohsome platform and the components it consists of. Ohsome API The ohsome platform is based on a three-layers API architecture, where the flexibility, as well as the usage-complexity are increasing going from the top to…
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Identifying the Effects of Mobility Domains on Volunteered Geographical Information: Towards an Analytical Approach
The production of Volunteered Geographic Information (VGI) is a type of human behavior which emerges via direct and indirect interactions with the physical environments described by these data. The nature of these interactions and the extent to which they rely on physical presence in the mapped area may affect the quality of the resulting digital…
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Associating OpenStreetMap tags to CORINE land-cover classes using text and semantic similarity measures
With the aim of rapidly estimating the updated state of the CORINE land-cover map at the frequency with which the OpenStreetMap (OSM) dataset is edited and extended, we propose an approach for automatically associating widely used OSM tags to Level 1 and Level 2 CORINE land-cover classes. This association is probabilistic and is undertaken based…
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Enhancing Crowdsourced Classification on Human Settlements Utilizing Logistic Regression Aggregation and Intrinsic Context Factors
Among semi-automated methods and pre-processed data products, crowdsourcing is another tool which can help to collect information on human settlements and complement existing data, yet it’s accuracy is debated. Whereas the potential of crowdsourced datasets for training of machine learning algorithms has been explored recently, only few work has been done towards utilizing machine learning…
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Information Extraction from LiDAR Intensity Data and Multispectral LiDAR Technology
LiDAR is a consolidated technology for topographic mapping and 3D reconstruction, which is implemented in several platforms On the other hand, the exploitation of the geometric information has been coupled by the use of laser intensity, which may provide additional data for multiple purposes. This option has been emphasized by the availability of sensors working…