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Automatische Ableitung unterfluteter Vegetation aus Sentinel-1 Zeitseriendaten

Tsyganskaya, Viktoriya and Martinis, Sandro and Marzahn, Philip and Ludwig, Ralf (2017) Automatische Ableitung unterfluteter Vegetation aus Sentinel-1 Zeitseriendaten. Deutscher Kongress für Geographie 2017, 30. Sep. – 5. Okt. 2017, Tübingen, Deutschland.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/115342/
Document Type:Conference or Workshop Item (Poster)
Title:Automatische Ableitung unterfluteter Vegetation aus Sentinel-1 Zeitseriendaten
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tsyganskaya, ViktoriyaViktoriya.Tsyganskaya (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.deUNSPECIFIED
Marzahn, Philipp.marzahn (at) iggf.geo.uni-muenchen.deUNSPECIFIED
Ludwig, Ralfr.ludwig (at) lmu.deUNSPECIFIED
Date:2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Unterfluteter Vegetation, Hochwasser, Sentinel-1 Zeitseriendaten, Klassifikation
Event Title:Deutscher Kongress für Geographie 2017
Event Location:Tübingen, Deutschland
Event Type:national Conference
Event Dates:30. Sep. – 5. Okt. 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 - SAR-Methodology, R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Tsyganskaya, Viktoriya
Deposited On:20 Nov 2017 14:37
Last Modified:20 Nov 2017 14:37

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