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Comparison of SAR-based approaches for the detection of partly flooded vegetation – a review

Tsyganskaya, Viktoriya and Martinis, Sandro and Marzahn, Philip and Ludwig, Ralf (2018) Comparison of SAR-based approaches for the detection of partly flooded vegetation – a review. International Journal of Remote Sensing, 39 (8), pp. 2255-2293. Taylor & Francis. DOI: 10.1080/01431161.2017.1420938 ISSN 0143-1161

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Official URL: https://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1420938?needAccess=true#aHR0cHM6Ly93d3cudGFuZGZvbmxpbmUuY29tL2RvaS9wZGYvMTAuMTA4MC8wMTQzMTE2MS4yMDE3LjE0MjA5Mzg/bmVlZEFjY2Vzcz10cnVlQEBAMA==


Item URL in elib:https://elib.dlr.de/120408/
Document Type:Article
Title:Comparison of SAR-based approaches for the detection of partly flooded vegetation – a review
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tsyganskaya, ViktoriyaDLRUNSPECIFIED
Martinis, Sandrosandro.martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361X
Marzahn, PhilipLMU MünchenUNSPECIFIED
Ludwig, RalfLMU MunichUNSPECIFIED
Date:2018
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:39
DOI :10.1080/01431161.2017.1420938
Page Range:pp. 2255-2293
Publisher:Taylor & Francis
ISSN:0143-1161
Status:Published
Keywords:Radar, Sentinel-1, Flooded Vegetation
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:11 Jul 2018 09:32
Last Modified:11 Jul 2018 09:32

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