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Estimation of Gravimetric Vegetation Moisture Using an Attenuation-Based Multi-Sensor Approach

Fink, Anita and Jagdhuber, Thomas and Piles, Maria and Grant, Jennifer and Baur, Martin and Link, Moritz and Entekhabi, Dara (2018) Estimation of Gravimetric Vegetation Moisture Using an Attenuation-Based Multi-Sensor Approach. MicroRAD 2018 Conference, 27-03-2018 - 30-03-2018, Cambridge, USA.

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Item URL in elib:https://elib.dlr.de/119208/
Document Type:Conference or Workshop Item (Poster)
Title:Estimation of Gravimetric Vegetation Moisture Using an Attenuation-Based Multi-Sensor Approach
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fink, AnitaUniversity of AugsburgUNSPECIFIED
Jagdhuber, ThomasThomas.Jagdhuber (at) dlr.dehttps://orcid.org/0000-0002-1760-2425
Piles, MariaUniversity of ValenciaUNSPECIFIED
Grant, JenniferNetherlands Space OfficeUNSPECIFIED
Baur, MartinUniversity of BayreuthUNSPECIFIED
Link, MoritzMoritz.Link (at) dlr.deUNSPECIFIED
Entekhabi, DaraMITUNSPECIFIED
Date:28 March 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Vegetation, gravimetric moisture, Attenuation, VOD, SMAP, Radar, Radiometer, lidar, GLAS
Event Title:MicroRAD 2018 Conference
Event Location:Cambridge, USA
Event Type:international Conference
Event Dates:27-03-2018 - 30-03-2018
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 - Vorhaben Sicherheitsrelevante Erdbeobachtung
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Reconnaissance and Security
Deposited By: Jagdhuber, Dr Thomas
Deposited On:16 Mar 2018 09:36
Last Modified:22 Oct 2018 10:02

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