Surface soil moisture retrieval using L-band SMAP SAR data and its validation

S. Kim; Jakob J. Van Zyl; J. Johnson; Majid Moghaddam; Leung Tsang; A. Colliander; S. Dunbar; T. Jackson; Sermsak Jaruwatanadilok; R. West; Aaron A Berg; T Grant Caldwell; Michael Cosh; E. Lopez-Baeza; M. Thibeault; J. Walker; Dara Entekhabi; S. Yueh

doi:10.1109/IGARSS.2016.7729028

Surface soil moisture retrieval using L-band SMAP SAR data and its validation

S. Kim, Jakob J. Van Zyl, J. Johnson, Majid Moghaddam, Leung Tsang, A. Colliander, S. Dunbar, T. Jackson, Sermsak Jaruwatanadilok, R. West, Aaron A Berg, T Grant Caldwell, Michael Cosh, E. Lopez-Baeza, M. Thibeault, J. Walker, Dara Entekhabi, S. Yueh

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

2 Citations (Scopus)

Abstract

Surface soil moisture was retrieved globally by systematically correcting for the effects of vegetation and soil surface roughness. The retrieval is enabled by employing physical-models of radar forward scattering for individual vegetation types to account for vegetation scattering and absorption, and by constraining the surface roughness effect using time-series observations. The L-band SMAP multi-polarized (HH/VV/HV) σ° data acquired globally every three days were used from mid-April to early July, 2015. Assessment was conducted over 13 rigorously-chosen core validation sites covering a wide range of biomass types, biomass amount, and soil conditions. The soil moisture retrieval reached an accuracy of 0.06 m³/m³ RMSE, a bias of 0.003 m³/m³, and a correlation of 0.56. The successful retrieval demonstrates that the physically-based retrieval method is capable of characterizing soil moisture over diverse conditions of soil moisture, surface roughness, and vegetation on a global scale.

Original language	English
Title of host publication	2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings
Subtitle of host publication	July 10–15, 2016, Beijing, China
Editors	Jiancheng SHI, Huadong GUO, Kun-shan CHEN
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	143-146
Number of pages	4
ISBN (Electronic)	9781509033324, 9781509033317
ISBN (Print)	9781509033331
DOIs	https://doi.org/10.1109/IGARSS.2016.7729028
Publication status	Published - 1 Nov 2016
Event	IEEE International Geoscience and Remote Sensing Symposium 2016 - China National Convention Center, Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016 Conference number: 36th https://www2.securecms.com/IGARSS2016/Default.asp http://www.igarss2016.org/ https://ieeexplore.ieee.org/xpl/conhome/7592514/proceeding (Proceedings)

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium 2016
Abbreviated title	IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16
Internet address	https://www2.securecms.com/IGARSS2016/Default.asp http://www.igarss2016.org/ https://ieeexplore.ieee.org/xpl/conhome/7592514/proceeding (Proceedings)

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10.1109/IGARSS.2016.7729028

Cite this

Kim, S., Van Zyl, J. J., Johnson, J., Moghaddam, M., Tsang, L., Colliander, A., Dunbar, S., Jackson, T., Jaruwatanadilok, S., West, R., Berg, A. A., Caldwell, T. G., Cosh, M., Lopez-Baeza, E., Thibeault, M., Walker, J., Entekhabi, D., & Yueh, S. (2016). Surface soil moisture retrieval using L-band SMAP SAR data and its validation. In J. SHI, H. GUO, & K. CHEN (Eds.), 2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings: July 10–15, 2016, Beijing, China (pp. 143-146). Article 7729028 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2016.7729028

Kim, S. ; Van Zyl, Jakob J. ; Johnson, J. et al. / Surface soil moisture retrieval using L-band SMAP SAR data and its validation. 2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings: July 10–15, 2016, Beijing, China. editor / Jiancheng SHI ; Huadong GUO ; Kun-shan CHEN. IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 143-146

@inproceedings{4ba4f89331154c5d8f3a98826a256b19,

title = "Surface soil moisture retrieval using L-band SMAP SAR data and its validation",

abstract = "Surface soil moisture was retrieved globally by systematically correcting for the effects of vegetation and soil surface roughness. The retrieval is enabled by employing physical-models of radar forward scattering for individual vegetation types to account for vegetation scattering and absorption, and by constraining the surface roughness effect using time-series observations. The L-band SMAP multi-polarized (HH/VV/HV) σ° data acquired globally every three days were used from mid-April to early July, 2015. Assessment was conducted over 13 rigorously-chosen core validation sites covering a wide range of biomass types, biomass amount, and soil conditions. The soil moisture retrieval reached an accuracy of 0.06 m3/m3 RMSE, a bias of 0.003 m3/m3, and a correlation of 0.56. The successful retrieval demonstrates that the physically-based retrieval method is capable of characterizing soil moisture over diverse conditions of soil moisture, surface roughness, and vegetation on a global scale.",

author = "S. Kim and {Van Zyl}, {Jakob J.} and J. Johnson and Majid Moghaddam and Leung Tsang and A. Colliander and S. Dunbar and T. Jackson and Sermsak Jaruwatanadilok and R. West and Berg, {Aaron A} and Caldwell, {T Grant} and Michael Cosh and E. Lopez-Baeza and M. Thibeault and J. Walker and Dara Entekhabi and S. Yueh",

year = "2016",

month = nov,

day = "1",

doi = "10.1109/IGARSS.2016.7729028",

language = "English",

isbn = "9781509033331",

pages = "143--146",

editor = "SHI, {Jiancheng } and GUO, {Huadong } and CHEN, {Kun-shan }",

booktitle = "2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Geoscience and Remote Sensing Symposium 2016, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

url = "https://www2.securecms.com/IGARSS2016/Default.asp, http://www.igarss2016.org/, https://ieeexplore.ieee.org/xpl/conhome/7592514/proceeding",

}

Kim, S, Van Zyl, JJ, Johnson, J, Moghaddam, M, Tsang, L, Colliander, A, Dunbar, S, Jackson, T, Jaruwatanadilok, S, West, R, Berg, AA, Caldwell, TG, Cosh, M, Lopez-Baeza, E, Thibeault, M, Walker, J, Entekhabi, D & Yueh, S 2016, Surface soil moisture retrieval using L-band SMAP SAR data and its validation. in J SHI, H GUO & K CHEN (eds), 2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings: July 10–15, 2016, Beijing, China., 7729028, IEEE, Institute of Electrical and Electronics Engineers, pp. 143-146, IEEE International Geoscience and Remote Sensing Symposium 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7729028

Surface soil moisture retrieval using L-band SMAP SAR data and its validation. / Kim, S.; Van Zyl, Jakob J.; Johnson, J. et al.
2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings: July 10–15, 2016, Beijing, China. ed. / Jiancheng SHI; Huadong GUO; Kun-shan CHEN. IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 143-146 7729028.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Surface soil moisture retrieval using L-band SMAP SAR data and its validation

AU - Kim, S.

AU - Van Zyl, Jakob J.

AU - Johnson, J.

AU - Moghaddam, Majid

AU - Tsang, Leung

AU - Colliander, A.

AU - Dunbar, S.

AU - Jackson, T.

AU - Jaruwatanadilok, Sermsak

AU - West, R.

AU - Berg, Aaron A

AU - Caldwell, T Grant

AU - Cosh, Michael

AU - Lopez-Baeza, E.

AU - Thibeault, M.

AU - Walker, J.

AU - Entekhabi, Dara

AU - Yueh, S.

N1 - Conference code: 36th

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Surface soil moisture was retrieved globally by systematically correcting for the effects of vegetation and soil surface roughness. The retrieval is enabled by employing physical-models of radar forward scattering for individual vegetation types to account for vegetation scattering and absorption, and by constraining the surface roughness effect using time-series observations. The L-band SMAP multi-polarized (HH/VV/HV) σ° data acquired globally every three days were used from mid-April to early July, 2015. Assessment was conducted over 13 rigorously-chosen core validation sites covering a wide range of biomass types, biomass amount, and soil conditions. The soil moisture retrieval reached an accuracy of 0.06 m3/m3 RMSE, a bias of 0.003 m3/m3, and a correlation of 0.56. The successful retrieval demonstrates that the physically-based retrieval method is capable of characterizing soil moisture over diverse conditions of soil moisture, surface roughness, and vegetation on a global scale.

AB - Surface soil moisture was retrieved globally by systematically correcting for the effects of vegetation and soil surface roughness. The retrieval is enabled by employing physical-models of radar forward scattering for individual vegetation types to account for vegetation scattering and absorption, and by constraining the surface roughness effect using time-series observations. The L-band SMAP multi-polarized (HH/VV/HV) σ° data acquired globally every three days were used from mid-April to early July, 2015. Assessment was conducted over 13 rigorously-chosen core validation sites covering a wide range of biomass types, biomass amount, and soil conditions. The soil moisture retrieval reached an accuracy of 0.06 m3/m3 RMSE, a bias of 0.003 m3/m3, and a correlation of 0.56. The successful retrieval demonstrates that the physically-based retrieval method is capable of characterizing soil moisture over diverse conditions of soil moisture, surface roughness, and vegetation on a global scale.

UR - http://www.scopus.com/inward/record.url?scp=85007463543&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2016.7729028

DO - 10.1109/IGARSS.2016.7729028

M3 - Conference Paper

AN - SCOPUS:85007463543

SN - 9781509033331

SP - 143

EP - 146

BT - 2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings

A2 - SHI, Jiancheng

A2 - GUO, Huadong

A2 - CHEN, Kun-shan

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Geoscience and Remote Sensing Symposium 2016

Y2 - 10 July 2016 through 15 July 2016

ER -

Kim S, Van Zyl JJ, Johnson J, Moghaddam M, Tsang L, Colliander A et al. Surface soil moisture retrieval using L-band SMAP SAR data and its validation. In SHI J, GUO H, CHEN K, editors, 2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings: July 10–15, 2016, Beijing, China. IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 143-146. 7729028 doi: 10.1109/IGARSS.2016.7729028

Surface soil moisture retrieval using L-band SMAP SAR data and its validation

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Global retrieval of surface soil moisture using L-band SMAP SAR data and its validation

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