Tag: land use/land cover classification
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Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks
Our feature paper “Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks” is now published online. Recently, convolutional neural networks (CNN) have been intensively investigated for the classification of remote sensing data by extracting invariant and abstract features suitable for classification. In this paper, a novel framework is proposed for the fusion of hyperspectral…
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Open land cover from OpenStreetMap and remote sensing
In a recently published study (1), we produced a web based land use land cover (LULC) product based on OSM tags which are constantly updated by contributors/volunteers, and present a Remote Sensing based solution when tags were absent for a test site. We harness the combined benefit of an open source and ever-growing machine generated…
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Paper on OSMlanduse.org at AGIT
The programme of the AGIT Symposium 2017 in Salzburg is online now and it includes a first paper about the work at GIScience Heidelberg on OSMlanduse.org. It will be presented 6 July in the afternoon at AGIT Salzburg. The talk is entitled “OSMLanduse Version 1” while the full titel of the paper is: Voß, J.,…
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Introducing OSMLanduse.org : OpenStreetMap Landuse Landcover (LULC) WebMap is Online
Today a new global WebMap prototype “OSMLanduse.org” has been launched by GIScience Research Group Heidelberg. The map provides worldwide Landuse/Landcover information on the basis of OpenStreetMap (OSM) data. This is based on our earlier work on testing the suitability of OpenStreetMap for deriving landuse and landcover information (LULC). LULC data is highly relevant for many…
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Open Position Senior Researcher Volunteered Geographic Information, OSM, LULC
Stellenausschreibung GIScience Universität Heidelberg Senior Wissenschaftliche(r) Mitarbeiter/-in PostDoc Geoinformatik (100%) Volunteered Geographic Information, OSM, LULC In der Abteilung Geoinformatik der Universität Heidelberg ist baldmöglichst eine Stelle für eine(n) erfahrene(n) wissenschaftl. Mitarbeiter/-in (100%, TV-L), idealerweise promoviert, zu besetzen. Die Aufgaben umfassen v.a. die Mitarbeit in neuen EU HORIZON2020 Forschungsprojekten (z.B. http://www.geog.uni-heidelberg.de/gis/land_sense.html bzw. http://www.geog.uni-heidelberg.de/gis/wegovnow.html ). Die relevanten…
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GIS-Based Roughness Derivation for Flood Simulations
Natural disasters like floods are a worldwide phenomenon and a serious threat to mankind. Flood simulations are applications of disaster control, which are used for the development of appropriate flood protection. Adequate simulations require not only the geometry but also the roughness of the Earth’s surface, as well as the roughness of the objects hereon.…