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The Potential of Open Geodata for Automated Large-Scale Land Use and Land Cover Classification

Leinenkugel, Patrick and Deck, Ramona and Huth, Juliane and Ottinger, Marco and Mack, Benjamin (2019) The Potential of Open Geodata for Automated Large-Scale Land Use and Land Cover Classification. Remote Sensing, 11 (19), pp. 1-21. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs11192249 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/11/19/2249


Item URL in elib:https://elib.dlr.de/129395/
Document Type:Article
Title:The Potential of Open Geodata for Automated Large-Scale Land Use and Land Cover Classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Leinenkugel, PatrickPatrick.Leinenkugel (at) dlr.deUNSPECIFIED
Deck, Ramonaramona.deck (at) daimler.comUNSPECIFIED
Huth, JulianeJuliane.Huth (at) dlr.deUNSPECIFIED
Ottinger, MarcoMarco.Ottinger (at) dlr.deUNSPECIFIED
Mack, Benjaminben8mack (at) gmail.comUNSPECIFIED
Date:27 September 2019
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.3390/rs11192249
Page Range:pp. 1-21
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:land use; land cover; classification; Copernicus; open geodata; CORINE; LUCAS; Landsat
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Huth, Juliane
Deposited On:07 Oct 2019 11:31
Last Modified:20 Nov 2019 07:22

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