Tag: landuse
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HGG-Vortrag Di 30.11.: Hangrutschungsmodellierung unter dem Einfluss von Klima- und Landnutzungswandel mit Data-Science-Methoden, Prof. Brenning
Der nächste Vortrag der Heidelberger Geographischen Gesellschaft HGG findet am Dienstag, 02. November 2021, 19:15 Uhr ONLINE statt: Dienstag, 30. November 2021, 19:15 Uhr Prof. Dr. Alexander Brenning (Universität Jena) Hangrutschungsmodellierung unter dem Einfluss von Klima- und Landnutzungswandel mit Data-Science-Methoden Regionalskalige empirische Gefährdungsanalysen für Naturgefahren nutzen Innovationen der Datenwissenschaften, um gefährdete Reliefeinheiten präziser und effizienter zu…
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OSMlanduse European Union validation effort EuroSDR conference 11/24/2020
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…
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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…
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OSMlanduse European Union validation effort
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…
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Contiguous high resolution OSMlanduse map of the European Union by combining Copernicus data and OpenStreetMap
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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New DFG project: IdealVGI – Deep Learning with OSM
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…
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Green spaces in cities promote well-being and mental health — ‘Nature’ Neuroscience study published with participation of GIScience researchers at Heidelberg University
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…
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meinGrün @ roadto_ Festival in Heidelberg
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 fragen, wo man in…
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Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks
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…
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Constraints in multi-objective optimization of land use allocation – Repair or penalize?
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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Successfull PhD Defence of Michael Schultz about tropical deforestation monitoring using Landsat time series and breakpoint detection
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…