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, 2017-09-30 - 2017-10-05, Tübingen, Deutschland.

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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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Tsyganskaya, Viktoriya	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Martinis, Sandro	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Marzahn, Philip	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Ludwig, Ralf	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

2017

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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 Start Date:

30 September 2017

Event End Date:

5 October 2017

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 - SAR methods, R - Remote Sensing and Geo Research

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:

24 Apr 2024 20:19

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