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Towards a new baseline layer for global land-cover classification derived from multitemporal satellite optical imagery

Marconcini, Mattia and Esch, Thomas and Metz, Annekatrin and Üreyen, Soner and Zeidler, Julian (2017) Towards a new baseline layer for global land-cover classification derived from multitemporal satellite optical imagery. World Cover 2017 Conference, 14-16 Mar 2017, Frascati, Italy.

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Item URL in elib:https://elib.dlr.de/114788/
Document Type:Conference or Workshop Item (Speech)
Title:Towards a new baseline layer for global land-cover classification derived from multitemporal satellite optical imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Marconcini, MattiaMattia.Marconcini (at) dlr.dehttps://orcid.org/0000-0002-5042-5176
Esch, Thomasthomas.esch (at) dlr.deUNSPECIFIED
Metz, Annekatrinannekatrin.metz (at) dlr.deUNSPECIFIED
Üreyen, Sonersoner.uereyen (at) dlr.deUNSPECIFIED
Zeidler, JulianJulian.Zeidler (at) dlr.dehttps://orcid.org/0000-0001-9444-2296
Date:2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Earth Observation, Landsat, Temporal statistics, Multitemporal Data
Event Title:World Cover 2017 Conference
Event Location:Frascati, Italy
Event Type:international Conference
Event Dates:14-16 Mar 2017
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
Deposited By: Marconcini, Mattia
Deposited On:23 Oct 2017 12:58
Last Modified:23 Oct 2017 12:58

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