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Compositions of urban surface materials and their use for deriving urban structure types in 30 m hyperspectral remote sensing data

Jilge, Marianne and Feilhauer, Hannes and Heiden, Uta and Neumann, Carsten and Jürgens, Carsten (2018) Compositions of urban surface materials and their use for deriving urban structure types in 30 m hyperspectral remote sensing data. EARSeL 5th Joint Workshop "Urban Remote Sensing - Challenges & Solutions", 24.-26. Sept. 2018, Bochum, Deutschland.

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Item URL in elib:https://elib.dlr.de/124728/
Document Type:Conference or Workshop Item (Speech)
Title:Compositions of urban surface materials and their use for deriving urban structure types in 30 m hyperspectral remote sensing data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Jilge, Mariannemarianne.jilge (at) dlr.deUNSPECIFIED
Feilhauer, HannesFAU Erlangen-NürnbergUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Neumann, CarstenGFZ PotsdamUNSPECIFIED
Jürgens, CarstenRuhr-Universität BochumUNSPECIFIED
Date:24 September 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:EnMAP, gradient analysis, imaging spectroscopy, urban, surface materials
Event Title:EARSeL 5th Joint Workshop "Urban Remote Sensing - Challenges & Solutions"
Event Location:Bochum, Deutschland
Event Type:international Conference
Event Dates:24.-26. Sept. 2018
Organizer:EARSeL
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: Jilge, Marianne
Deposited On:08 Jan 2019 13:10
Last Modified:08 Jan 2019 13:10

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