News of Heidelberg University’s GIScience Research Group.
Posted in Land use, OSM, Research, Services on Nov 16th, 2020
During the EuroSDR workshop we will present our OSMlanduse product (earlier post) to the land use (LU) and land cover community (LC) and highlight class accuracies and a benchmark comparison towards existing national authoritative products. Accuracy estimated to be presented are based on more than 7k reference points collected in the past month through a [...]
Posted in Crowd Analyser, Land use, OSM, Publications, Research on Nov 6th, 2020
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 [...]
Posted in Land use, OSM, Research, Services on Oct 6th, 2020
We launched a validation campaign of our new 10meter resolution OSMlanduse product for the member states of the European Union. Please contribute to the validation here. A technique where contributions are checked against each other is implemented to promote quality of information. The mapathon comes in four themes: nature, urban, agriculture or expert.
While the expert campaign [...]
Posted in Land use, OSM, Research, Services on Sep 25th, 2020
Find here a new update of the OSMlanduse.org map. By injecting known tags provided by OpenStreetMap (OSM) into a remote sensing feature space using deep learning, tags were predicted when absent thus creating a contiguous map - initially for the member states of the EU. By design our method can be applied when- and wherever [...]
Posted in OSM, Press release, Research, VGI Group on Nov 4th, 2019
Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin.
IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from Volunteered [...]
Posted in Land use, Press release, Publications, Research on Aug 15th, 2019
INTERDISCIPLINARY NATURE STUDY SHOWS THAT INNER TOWN GREEN DIRECTLY INFLUENCES ON CITY RESIDENTS
Inner city green areas such as lawns, flowerbeds, trees or parks can directly improve the well-being of city dwellers. These are the findings of a recent study conducted by scientists from GIScience Research Group at Heidelberg University and the Heidelberg Institute for Geoinformation [...]
Posted in Events on Jul 5th, 2019
Das meinGrün Team ist morgen beim roadto_ Festival des DAI Heidelberg dabei. Unter dem Motto “Do-it-yourself together” gibt es heute und morgen viele verschiedene Workshops zum mitmachen und ausprobieren sowie Filme, Theater und Konzerte. Wir vom meinGrün Team werden während des Festivals über unser Projekt informieren und mal in die Runde [...]
Posted in Events, Publications, VGI Group on Jun 26th, 2019
Recently a new paper about Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks (DNNs) has been presented at the AGILE GIScience conference 2019 in Cyprus.
Although built-up areas cover only a small proportion of the earth’s surface, these areas are closely tied to most of the world’s population and the economic output, which makes the [...]
Posted in Ecosystem services, Land use, Publications, Research, Software on Jun 6th, 2019
Land is a spare resource so it makes sense to think about how to use it most efficiently. This leads to the problem of land use allocation under consideration of trade-offs. Multi-objective optimization algorithms are a tool quantify the trade-offs by estimating the Pareto-optimal land use allocations. Often, constraints in the solution space have to [...]
A new study has been published in the international open access journal Geo-spatial Information Science (GSIS, Taylor & Francis), that explores the land use/land cover (LULC) separability by the machine-generated and user-generated Flickr photo tags (i.e. the auto-tags and the user-tags, respectively), based on an authoritative LULC dataset for San Diego County in the United [...]