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Investigating Dense Time Series of Optical and SAR Earth Observation data for crop type classification

Orynbaikyzy, Aiym and Gessner, Ursula and Conrad, Christopher (2019) Investigating Dense Time Series of Optical and SAR Earth Observation data for crop type classification. EARSeL 2019, 1-4 July, 2019, Salzburg, Austria.

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Item URL in elib:https://elib.dlr.de/129213/
Document Type:Conference or Workshop Item (Speech)
Title:Investigating Dense Time Series of Optical and SAR Earth Observation data for crop type classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Orynbaikyzy, AiymAiym.Orynbaikyzy (at) dlr.deUNSPECIFIED
Gessner, Ursulaursula.gessner (at) dlr.deUNSPECIFIED
Conrad, Christopherchristopher.conrad (at) geo.uni-halle.deUNSPECIFIED
Date:2019
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:data fusion, crop type classification
Event Title:EARSeL 2019
Event Location:Salzburg, Austria
Event Type:international Conference
Event Dates:1-4 July, 2019
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: Orynbaikyzy, Aiym
Deposited On:07 Oct 2019 12:56
Last Modified:07 Oct 2019 12:56

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