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Multi-temporal approach for the detection of temporary flooded vegetation based on Sentinel-1 data

Tsyganskaya, Viktoriya and Martinis, Sandro and Marzahn, Philip (2018) Multi-temporal approach for the detection of temporary flooded vegetation based on Sentinel-1 data. BioGeoSAR-18 Workshop, 12.-15. Nov. 2018, Oberpfaffenhofen.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/125363/
Document Type:Conference or Workshop Item (Speech)
Title:Multi-temporal approach for the detection of temporary flooded vegetation based on Sentinel-1 data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tsyganskaya, ViktoriyaViktoriya.Tsyganskaya (at) dlr.deUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361X
Marzahn, PhilipLMU MünchenUNSPECIFIED
Date:2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Flood, flooded vegetation, Sentinel-1, time-series
Event Title:BioGeoSAR-18 Workshop
Event Location:Oberpfaffenhofen
Event Type:international Conference
Event Dates:12.-15. Nov. 2018
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 > Geo Risks and Civil Security
Deposited By: Martinis, Sandro
Deposited On:07 Jan 2019 12:54
Last Modified:07 Jan 2019 12:54

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