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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Tsyganskaya, Viktoriya	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Martinis, Sandro	UNSPECIFIED	https://orcid.org/0000-0002-6400-361X	UNSPECIFIED
Marzahn, Philip	LMU München	UNSPECIFIED	UNSPECIFIED
Ludwig, Ralf	LMU Munich	UNSPECIFIED	UNSPECIFIED

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:

Yes

Volume:

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 - Earth Observation

DLR - Research theme (Project):

R - Remote Sensing and Geo Research

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:

30 Jan 2024 13:09

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