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 [...]
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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 [...]
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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 [...]
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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 [...]
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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 [...]
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Posted in Land use, VGI Group on Jan 9th, 2019
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 [...]
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Posted in Events on Oct 22nd, 2018
Last week our team member Dr. Michael Schultz successfully defended his PhD Defence about
Tropical deforestation monitoring using Landsat time series and breakpoint detection
at Wageningen University and Research (WUR). It was supervised by Prof. Dr M. Herold (Professor of Geo-information Science and Remote Sensing at Wageningen University & Research). We congratulate cordially! Keep up the good [...]
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Posted in Events, Land use, OSM, Services on Oct 4th, 2018
At the recent EuroGEOSS Workshop in Geneva, LandSense researchers from IIASA and Heidelberg University hosted an interactive mapping session to showcase the power of crowdsourcing for map validations as announced earlier.
Using the openly available Land Cover Validation Platform (LACO-Wiki), participants collaboratively validated a land use and land cover map of Geneva, which brings together data from [...]
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Posted in Research, Services on Sep 29th, 2018
Informationen und Navigation zu urbanen Grünflächen in Städten – meinGrün
Neues mFund Kooperations-Projekt meinGrün wird vom BMVI gefoerdert.
Problemstellung
Um in Städten trotz Wachstum und Nachverdichtung eine hohe Lebensqualität zu sichern, spielen Grünflächen eine essentielle Rolle, da sie sich positiv auf Stadtklima und Biodiversität auswirken und als Orte der Naturerfahrung und Entspannung dienen. Bürgerinnen und Bürger sollten daher [...]
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Posted in Publications, VGI Group on Jun 3rd, 2018
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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