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 [...]
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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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Posted in Events, Teaching on Jul 22nd, 2019
Last week, GIScience Heidelberg successfully held two collaborative workshops about OpenStreetMap (OSM) at the Department of Earth Observation in Jena. Dr. Chistian Thiel and his team from the University of Jena kindly organized the event. Three members of the GIScience Research Group and the Heidelberg Institute for Geoinformation Technology (HeiGIT), Dr. Michael Schultz, Benjamin Herfort [...]
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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, Land use, Research, Services on Jan 3rd, 2019
Recently, Michael Schulz from GIScience Heidelberg gave a talk at the colloquium of Prof. Carl Baierkuhnlein at the University of Bayreuth. During his talk he presented the results on OpenStreetMap usage targeting humanitarian applications, healthy and green routing based on openrouteservice and ecological analysis or the global climate protection map. OSM is harnessed for an abundance [...]
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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 Events, OSM, Services on Aug 31st, 2018
Join us on Thursday 13th September 2018 at the EuroGEOSS Workshop in Geneva for the validation mapathon of OSMlanduse.org Sentinel-2 landuse fusion map. Have an exclusive first peek at the EU wide OSMlanduse Sentinel-2 landuse fusion map, a result of millions of OSM contributions and the Sentinel-2 archive remote sensing data.
The event is a prequel to [...]
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Posted in Events, Research, Services on Jul 17th, 2018
Another chapter in machine human fusion land use device narrative: new Sentinel 2 osmlanduse.org product results based on OpenStreetMap plus Sentinel 2 data plus Machine Learning were presented at ToulouseSpaceShow 2018 during a European Space Agency (ESA) Research and User Support (RUS) event. Stay tuned: The new product will soon be available for all [...]
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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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