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

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

1 Citation (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 languageEnglish
Title of host publication2016 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2016) - Proceedings
Subtitle of host publicationJuly 10–15, 2016, Beijing, China
EditorsJiancheng SHI, Huadong GUO, Kun-shan CHEN
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages143-146
Number of pages4
ISBN (Electronic)9781509033324, 9781509033317
ISBN (Print)9781509033331
DOIs
Publication statusPublished - 1 Nov 2016
EventIEEE International Geoscience and Remote Sensing Symposium 2016 - China National Convention Center, Beijing, China
Duration: 10 Jul 201615 Jul 2016
Conference number: 36th
https://www2.securecms.com/IGARSS2016/Default.asp
http://www.igarss2016.org/

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium 2016
Abbreviated titleIGARSS 2016
CountryChina
CityBeijing
Period10/07/1615/07/16
Internet address

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). [7729028] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2016.7729028