AMSR2 Soil Moisture Product Validation

R. Bindlish; T.J. Jackson; M. Cosh; T. Koike; X. Fuiji; R. de Jeu; S. Chan; J. Asanuma; A. Berg; David Bosch; T. Caldwell; C. Holyfield Collins; H. McNairn; J. Martinez-Fernandez; J. Prueger; M. Seyfried; Patrick Starks; Z. Su; M. Thibeault; J. Walker

AMSR2 Soil Moisture Product Validation

R. Bindlish, T.J. Jackson, M. Cosh, T. Koike, X. Fuiji, R. de Jeu, S. Chan, J. Asanuma, A. Berg, David Bosch, T. Caldwell, C. Holyfield Collins, H. McNairn, J. Martinez-Fernandez, J. Prueger, M. Seyfried, Patrick Starks, Z. Su, M. Thibeault, J. Walker

Department of Water Resources

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

12 Downloads (Pure)

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.

Original language	English
Title of host publication	37th IEEE International Geoscience and Remote Sensing Symposium 2017
Subtitle of host publication	23-28 July 2017, Fort Worth, TX, United States
Publisher	NASA, Goddard Space Flight Center
Number of pages	4
Publication status	Published - 2017
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth Convention Center, Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017 Conference number: 37

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Abbreviated title	IGARSS 2017
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17

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Bindlish, R., Jackson, T. J., Cosh, M., Koike, T., Fuiji, X., de Jeu, R., Chan, S., Asanuma, J., Berg, A., Bosch, D., Caldwell, T., Holyfield Collins, C., McNairn, H., Martinez-Fernandez, J., Prueger, J., Seyfried, M., Starks, P., Su, Z., Thibeault, M., & Walker, J. (2017). AMSR2 Soil Moisture Product Validation. In 37th IEEE International Geoscience and Remote Sensing Symposium 2017: 23-28 July 2017, Fort Worth, TX, United States NASA, Goddard Space Flight Center. https://ntrs.nasa.gov/search.jsp?R=20170007425

@inproceedings{06e02f95225e4567a3e7746c4d3cef26,

title = "AMSR2 Soil Moisture Product Validation",

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.",

author = "R. Bindlish and T.J. Jackson and M. Cosh and T. Koike and X. Fuiji and {de Jeu}, R. and S. Chan and J. Asanuma and A. Berg and David Bosch and T. Caldwell and {Holyfield Collins}, C. and H. McNairn and J. Martinez-Fernandez and J. Prueger and M. Seyfried and Patrick Starks and Z. Su and M. Thibeault and J. Walker",

year = "2017",

language = "English",

booktitle = "37th IEEE International Geoscience and Remote Sensing Symposium 2017",

publisher = "NASA, Goddard Space Flight Center",

note = "37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",

}

Bindlish, R, Jackson, TJ, Cosh, M, Koike, T, Fuiji, X, de Jeu, R, Chan, S, Asanuma, J, Berg, A, Bosch, D, Caldwell, T, Holyfield Collins, C, McNairn, H, Martinez-Fernandez, J, Prueger, J, Seyfried, M, Starks, P, Su, Z, Thibeault, M & Walker, J 2017, AMSR2 Soil Moisture Product Validation. in 37th IEEE International Geoscience and Remote Sensing Symposium 2017: 23-28 July 2017, Fort Worth, TX, United States. NASA, Goddard Space Flight Center, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, Texas, United States, 23/07/17. <https://ntrs.nasa.gov/search.jsp?R=20170007425>

TY - GEN

T1 - AMSR2 Soil Moisture Product Validation

AU - Bindlish, R.

AU - Jackson, T.J.

AU - Cosh, M.

AU - Koike, T.

AU - Fuiji, X.

AU - de Jeu, R.

AU - Chan, S.

AU - Asanuma, J.

AU - Berg, A.

AU - Bosch, David

AU - Caldwell, T.

AU - Holyfield Collins, C.

AU - McNairn, H.

AU - Martinez-Fernandez, J.

AU - Prueger, J.

AU - Seyfried, M.

AU - Starks, Patrick

AU - Su, Z.

AU - Thibeault, M.

AU - Walker, J.

N1 - Conference code: 37

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - 37th IEEE International Geoscience and Remote Sensing Symposium 2017

PB - NASA, Goddard Space Flight Center

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

AMSR2 Soil Moisture Product Validation

Abstract

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