Seasonal Dependence of SMAP Radiometer-Based Soil Moisture Performance as Observed over Core Validation Sites

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Seasonal Dependence of SMAP Radiometer-Based Soil Moisture Performance as Observed over Core Validation Sites. / 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.; Su, Z.; Yueh, S. H.

2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5320-5323 8899007 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

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, Institute of Electrical and Electronics Engineers Inc., International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5320-5323, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/2019. https://doi.org/10.1109/IGARSS.2019.8899007

APA

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). [8899007] Institute of Electrical and Electronics Engineers Inc.. International Geoscience and Remote Sensing Symposium (IGARSS) https://doi.org/10.1109/IGARSS.2019.8899007

Vancouver

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. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5320-5323. 8899007. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2019.8899007

Author

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. ; Su, Z. ; Yueh, S. H. / 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. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5320-5323 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Bibtex

@inproceedings{b4fdc57d7c1543fd8fbe4b1c7c541e04,
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",
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",
doi = "10.1109/IGARSS.2019.8899007",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "5320--5323",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
note = "39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

}

RIS

TY - GEN

T1 - Seasonal Dependence of SMAP Radiometer-Based Soil Moisture Performance as Observed over Core Validation Sites

AU - Colliander, A.

AU - Jackson, T. J.

AU - Chan, S. K.

AU - O'Neill, P.

AU - Bindlish, R.

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.

PY - 2019

Y1 - 2019

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

U2 - 10.1109/IGARSS.2019.8899007

DO - 10.1109/IGARSS.2019.8899007

M3 - Article in proceedings

AN - SCOPUS:85077674757

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 5320

EP - 5323

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

PB - Institute of Electrical and Electronics Engineers Inc.

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

Y2 - 28 July 2019 through 2 August 2019

ER -

ID: 238637822