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Detection of temporary flooded vegetation using Sentinel-1 time series data

Tsyganskaya, Viktoriya and Martinis, Sandro and Marzahn, Philip and Ludwig, Ralf (2018) Detection of temporary flooded vegetation using Sentinel-1 time series data. Remote Sensing, 10 (8), pp. 1-23. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs10081286 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/10/8/1286


Item URL in elib:https://elib.dlr.de/122281/
Document Type:Article
Title:Detection of temporary flooded vegetation using Sentinel-1 time series 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
Ludwig, RalfLMU MunichUNSPECIFIED
Date:2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:10
DOI :10.3390/rs10081286
Page Range:pp. 1-23
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:temporary flooded vegetation (TFV), SAR; Sentinel-1, time series data, classification; flood mapping
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:23 Oct 2018 12:51
Last Modified:21 Sep 2019 05:06

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