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The deleted map: It displays all deleted elements withing the analysed areas (red). Gray rectangles are deleted buildings.

2022 #30DayMapChallenge Round-Up Part 2: Deleted Maps

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Featured photo: The deleted map displays all deleted elements within the analyzed areas (red). Gray rectangles represent deleted buildings. This past November, our teams at HeiGIT and GIScience participated in Topi Tjukanov’s Twitter event #30DayMapChallenge, where mappers display their creativity … Read More

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#30DayMapChallenge Round-Up Part 1: Germany Three Ways

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Featured Image: The peaks of Germany identified by curvature in N/E direction, Jakob Schnell’s contribution for Day 7 (Raster) of the #30DayMapChallenge. This past November, our teams at HeiGIT and GIScience participated in Topi Tjukanov’s Twitter event #30DayMapChallenge, where mappers display … Read More

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Join our final “SocialMedia2Traffic” project presentation on March 22

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Navigation services need time dependent information on traffic speed to generate suitable routes and yield accurate travel time estimations. However, this information is not available free of cost globally. Within the recently completed project SocialMedia2Traffic, we have developed a system … Read More

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meinGrün, Tradur und SocialMedia2Traffic bei der mFUND Konferenz 2021

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Letzte Woche konnten wir bei der digitalen mFUND Konferenz drei unserer Projekte einem interessierten Publikum vorstellen. Im Fachforum “Die „15-Minuten-Stadt“ datenbasiert ermöglichen” haben wir gezeigt, wie die meinGrün App, das meinGrün Webportal und die angegliederten Dienste Städte dabei unterstützen könnten, … Read More

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Social Sensing Workshop at GIScience Conference 2021

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On Monday , Sep. 27 our “Social Sensing Workshop” at the “11th International Conference on GIScience” 2021 will take place. We are also happy to make you aware of full paper related to MeinGrün project and openrouteservice at the main … Read More

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OSM Missing Areas Identification paper is featured in August by ISPRS Journal of Photogrammetry and Remote Sensing

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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 … Read More

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Exploration of OpenStreetMap Missing Built-up Areas using Twitter Hierarchical Clustering and Deep Learning in Mozambique

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Accurate and detailed geographical information digitizing human activity patterns plays an essential role in response to natural disasters. Volunteered geographical information, in particular OpenStreetMap (OSM), shows great potential in providing the knowledge of human settlements to support humanitarian aid, while … Read More

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Jupyter Notebook: Combining Twitter Data and OpenRouteService Directions API

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In the case of a disaster fast response is important and life saving. Information on blocked streets is crucial, but a the same time this infornations needs to be considered by routing engines in real-time. However, many routing engines use … Read More

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