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AMSR2 soil moisture product validation

Authors :
Zhongbo Su
Aaron A. Berg
Thomas J. Jackson
X. Fuiji
Toshio Koike
Jun Asanuma
Rajat Bindlish
S. Chan
M. Thibeault
H. McNairn
Mark S. Seyfried
Michael H. Cosh
José Martínez-Fernández
C. Holyfield Collins
Patrick J. Starks
Todd G. Caldwell
John H. Prueger
R.A.M. de Jeu
David D. Bosch
Jeffrey P. Walker
Department of Water Resources
Source :
IGARSS, University of Twente Research Information (Pure Portal), 2017 IEEE International Geoscience and Remote Sensing Symposium; 37th; 23-28 Jul. 2017; Fort Worth, TX; United States
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

The Advanced Microwave Scanning Radiometer 2 (AMSR2) is part of the Global Change Observation Mission-Water (GCOM-W) mission. AMSR2 fills the void left by the loss of the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) after almost 10 years. Both missions provide brightness temperature observations that are used to retrieve soil moisture. Merging AMSR-E and AMSR2 will help build a consistent long-term dataset. Before tackling the integration of AMSR-E and AMSR2 it is necessary to conduct a thorough validation and assessment of the AMSR2 soil moisture products. This study focuses on validation of the AMSR2 soil moisture products by comparison with in situ reference data from a set of core validation sites. Three products that rely on different algorithms were evaluated; the JAXA Soil Moisture Algorithm (JAXA), the Land Parameter Retrieval Model (LPRM), and the Single Channel Algorithm (SCA). Results indicate that overall the SCA has the best performance based upon the metrics considered.

Details

Database :
OpenAIRE
Journal :
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Accession number :
edsair.doi.dedup.....41b4e6c6ef74759074d9d07d9c141295