Category: Publications
-
LandSense Horizon 2020 A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring, project successful finished
The Horizon 2020 LandSense project was concluded successful. Please find a selection of the produced publications and deliverables here. The project has enabled our group to pursue quality aspects of voluntarily collected geo information data and to ramp up efforts related to OSMlanduse. Together with the University of Nottingham (Giles Foody) and Institut national de l’information…
-
Use of TanDEM-X and Sentinel products to derive gully activity maps in Kunene Region (Namibia) based on automatic iterative Random Forest approach
Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1 and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro-mapping simulation as training data, to map gullies in the northwestern of Namibia. A Random Forest Classifier examines pixels with similar characteristics in a…
-
Auch Alltagsaktivitäten steigern das Wohlbefinden
Eine in Science Advances veröffentlichte Studie liefert neue Erkenntnisse zum Zusammenhang von körperlicher Aktivität und Wohlbefinden im Alltag. Dazu wurde unter anderem untersucht, welche Hirnregionen dabei eine Rolle spielen. Körperliche Aktivität macht glücklich und ist wichtig, um auch psychisch gesund zu bleiben. Forscherinnen und Forscher des Zentralinstituts für Seelische Gesundheit (ZI) in Mannheim, des Karlsruher…
-
New paper published: Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany
Worldwide, more and more people are affected by flooding. Local knowledge provides a valuable source of information for disaster risk reduction. We present an approach for visualizing and formalizing this local knowledge. More information can be found in the paper: Klonner, C., Usón, T.J., Aeschbach, N. Höfle, B. (2020): Participatory Mapping and Visualization of Local…
-
Regional Variations of Context-based Association Rules in OpenStreetMap
As a user‐generated map of the whole world, OpenStreetMap (OSM) provides valuable information about the natural and built environment. However, the spatial heterogeneity of the data due to cultural differences and the spatially varying mapping process makes the extraction of reliable information difficult. A newly published study investigates the variability of association rules extracted from…
-
Mapping physical access to health care for older adults in sub-Saharan Africa and implications for the COVID-19 response: a cross-sectional analysis
New paper published on healthcare access in Sub-Saharan Africa It is almost a year since SARS-CoV-2 first emerged in China. The virus spread all over the world. Countries south of the Sahara did not receive much attention. Although outbreaks here have a strong risk potential due to existing crises. In our new published paper we…
-
HeiGIT support for Forecast-based Financing feature around open data initiatives for anticipatory action
Current COVID 19 related activities of the Humanitarian OpenStreetMap Team (HOT), Red Cross Red Crescent Climate Center and HeiGIT are featured in a blog series around Forecast-based Financing. The blog post, “Anticipating and addressing epidemics – the potential of open data initiatives“, provides an overview on how Missing Maps, Forecast-based Financing, HOT, Climate Center and…
-
Integration of Authoritative and Volunteered Geographic Information for updating Urban Mapping: Challenges and Potentials
A recently published paper provides a bibliometric review between integration of authoritative and volunteered geographic information (VGI) for the specific purpose of cartographic updating of urban mappings. The adopted methodology was through a bibliometric survey of the literature published by Web of Science and Science Direct. The period was evaluated from 2005 to 2020 and…
-
Training in Innovative Technologies for Close-range Sensing in Alpine Terrain – 3rd Edition
The 3rd edition of the international summer school “Close-range Sensing Techniques in Alpine terrain” took place in Obergurgl, Austria, in June 2019. A group of 40 young researchers (mainly PhD students) participated to learn about various sensors, processing techniques, and analysis methods for different topics in high-mountain research. A recently published article reports on results…
-
Inferencing indoor room semantics using random forest and relational graph convolutional networks (deep learning)
Semantically rich maps are the foundation of indoor location‐based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., shape of room) and a few semantics (e.g., stairs and furniture) but often still neglect room usage. To mitigate the issue, a new published paper…
-
OSM Missing Areas Identification paper is featured in August by ISPRS Journal of Photogrammetry and Remote Sensing
We are pleased that our article has been selected by the editors of ISPRS Journal of Photogrammetry and Remote Sensing as the featured Article in August 2020. This means it will be available open access for 1 year. Get your copy here and enjoy a nice summer reading: Li, H., B. Herfort, W. Huang, M. Zia,…