Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites

A. Colliander; T. J. Jackson; S. K. Chan; P. O'Neill; R. Bindlish; M. H. Cosh; T. Caldwell; J. P. Walker; A. Berg; H. McNairn; M. Thibeault; J. Martinez-Fernandez; K. H. Jensen; J. Asanuma; M. S. Seyfried; D. D. Bosch; P. J. Starks; C. Holifield Collins; J. H. Prueger; Z. Su; S. H. Yueh

doi:10.1109/IGARSS.2019.8899007

Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites

A. Colliander
, T. J. Jackson
, S. K. Chan
, P. O'Neill
, R. Bindlish
, M. H. Cosh
, T. Caldwell
, J. P. Walker
, A. Berg
, H. McNairn
, M. Thibeault
, J. Martinez-Fernandez
, K. H. Jensen
, J. Asanuma
, M. S. Seyfried
, D. D. Bosch
, P. J. Starks
, C. Holifield Collins
, J. H. Prueger
, Z. Su

S. H. Yueh

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

7 Citations (Scopus)

103 Downloads (Pure)

Abstract

The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.

Original language	English
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	5320-5323
Number of pages	4
ISBN (Electronic)	978-1-5386-9154-0, 978-1-5386-9153-3 (USB)
ISBN (Print)	978-1-5386-9155-7
DOIs	https://doi.org/10.1109/IGARSS.2019.8899007
Publication status	Published - Jul 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 Conference number: 39

Publication series

Name	Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
Volume	2019
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Abbreviated title	IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Keywords

Core validation site
SMAP
Soil moisture (SM)
22/3 OA procedure

Access to Document

10.1109/IGARSS.2019.8899007

ArticleFinal published version, 528 KBLicence: Taverne

Cite this

Colliander, A., Jackson, T. J., Chan, S. K., O'Neill, P., Bindlish, R., Cosh, M. H., Caldwell, T., Walker, J. P., Berg, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Jensen, K. H., Asanuma, J., Seyfried, M. S., Bosch, D. D., Starks, P. J., Holifield Collins, C., Prueger, J. H., ... Yueh, S. H. (2019). Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 5320-5323). Article 8899007 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019). IEEE. https://doi.org/10.1109/IGARSS.2019.8899007

Colliander, A. ; Jackson, T. J. ; Chan, S. K. et al. / Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites. 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Piscataway, NJ : IEEE, 2019. pp. 5320-5323 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{fa4a60fb06cc410d9dbb2ef051bd9736,

title = "Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites",

abstract = "The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.",

keywords = "Core validation site, SMAP, Soil moisture (SM), 22/3 OA procedure",

author = "A. Colliander and Jackson, \{T. J.\} and Chan, \{S. K.\} and P. O'Neill and R. Bindlish and Cosh, \{M. H.\} and T. Caldwell and Walker, \{J. P.\} and A. Berg and H. McNairn and M. Thibeault and J. Martinez-Fernandez and Jensen, \{K. H.\} and J. Asanuma and Seyfried, \{M. S.\} and Bosch, \{D. D.\} and Starks, \{P. J.\} and \{Holifield Collins\}, C. and Prueger, \{J. H.\} and Z. Su and Yueh, \{S. H.\}",

year = "2019",

month = jul,

doi = "10.1109/IGARSS.2019.8899007",

language = "English",

isbn = "978-1-5386-9155-7",

series = "Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE",

pages = "5320--5323",

booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",

address = "United States",

note = "39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

}

Colliander, A, Jackson, TJ, Chan, SK, O'Neill, P, Bindlish, R, Cosh, MH, Caldwell, T, Walker, JP, Berg, A, McNairn, H, Thibeault, M, Martinez-Fernandez, J, Jensen, KH, Asanuma, J, Seyfried, MS, Bosch, DD, Starks, PJ, Holifield Collins, C, Prueger, JH, Su, Z & Yueh, SH 2019, Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings., 8899007, Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2019, IEEE, Piscataway, NJ, pp. 5320-5323, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8899007

Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites. / Colliander, A.; Jackson, T. J.; Chan, S. K. et al.
2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Piscataway, NJ: IEEE, 2019. p. 5320-5323 8899007 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019).

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

TY - GEN

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AU - Chan, S. K.

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AU - Cosh, M. H.

AU - Caldwell, T.

AU - Walker, J. P.

AU - Berg, A.

AU - McNairn, H.

AU - Thibeault, M.

AU - Martinez-Fernandez, J.

AU - Jensen, K. H.

AU - Asanuma, J.

AU - Seyfried, M. S.

AU - Bosch, D. D.

AU - Starks, P. J.

AU - Holifield Collins, C.

AU - Prueger, J. H.

AU - Su, Z.

AU - Yueh, S. H.

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N2 - The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.

AB - The NASA SMAP (Soil Moisture Active Passive) mission provides a global coverage of soil moisture measurements based on its L-band microwave radiometer every 2-3 days at about 40 km resolution. The soil moisture retrieval algorithms model the brightness temperature as a function of soil moisture, surface conditions and vegetation. External data sources inform the algorithms about the surface conditions and vegetation, which enable the retrieval of soil moisture. The inversion process contains uncertainties related to radiometer measurements, forward model assumptions and ancillary data sources. This study focuses on the uncertainties that depend on the seasonal evolution of the surface conditions and vegetation. The study compares the SMAP and core validation site (CVS) soil moisture values over a period of four years to extract the evolution of performance metrics over time. The analysis showed that most CVS that include managed agriculture exhibit significant time-dependent seasonal bias. This bias was linked to seasonal temperature cycle, which is a proxy to several features that can cause seasonally dependent errors in the SMAP product.

KW - Core validation site

KW - SMAP

KW - Soil moisture (SM)

KW - 22/3 OA procedure

U2 - 10.1109/IGARSS.2019.8899007

DO - 10.1109/IGARSS.2019.8899007

M3 - Conference contribution

AN - SCOPUS:85077674757

SN - 978-1-5386-9155-7

T3 - Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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EP - 5323

BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings

PB - IEEE

CY - Piscataway, NJ

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Colliander A, Jackson TJ, Chan SK, O'Neill P, Bindlish R, Cosh MH et al. Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Piscataway, NJ: IEEE. 2019. p. 5320-5323. 8899007. (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2019.8899007

Seasonal dependence of SMAP radiometer-based soil moisture performance as observed over core validation sites

Abstract

Publication series

Conference

Keywords

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