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Potential of multi-temporal ALOS-2 PALSAR-2 ScanSAR data for vegetation height estimation in tropical deciduous and evergreen forests of Mexico

Urbazaev, Mikhail and Cremer, Felix and Migliavacca, Mirco and Reichstein, Markus and Schmullius, Christiane and Thiel, Christian (2018) Potential of multi-temporal ALOS-2 PALSAR-2 ScanSAR data for vegetation height estimation in tropical deciduous and evergreen forests of Mexico. Remote Sensing. Multidisciplinary Digital Publishing Institute (MDPI). ISSN 2072-4292

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Item URL in elib:https://elib.dlr.de/125399/
Document Type:Article
Title:Potential of multi-temporal ALOS-2 PALSAR-2 ScanSAR data for vegetation height estimation in tropical deciduous and evergreen forests of Mexico
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Urbazaev, MikhailFriedrich-Schiller-Universität Jenahttps://orcid.org/0000-0002-0327-6278
Cremer, FelixFriedrich-Schiller-Universität JenaUNSPECIFIED
Migliavacca, Mircommiglia (at) bgc-jena.mpg.deUNSPECIFIED
Reichstein, Markusmreichstein (at) bgc-jena.mpg.deUNSPECIFIED
Schmullius, ChristianeFriedrich-Schiller-Universität JenaUNSPECIFIED
Thiel, ChristianChristian.Thiel (at) dlr.dehttps://orcid.org/0000-0001-5144-8145
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
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:L-band; SAR backscatter; vegetation height; forest structure parameters; spatial autocorrelation; Yucatan; Mexico
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
Deposited By: Thiel, Christian
Deposited On:26 Nov 2019 16:02
Last Modified:14 Dec 2019 04:26

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