Name
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 m
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>
/m
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RMSE, a bias of 0.003 m
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/m
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, 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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729028 | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
Keywords | Field | DocType |
surface soil moisture retrieval,L-band SMAP SAR data,soil surface roughness effect,vegetation effect,radar forward scattering,vegetation scattering,vegetation absorption,L-band SMAP multipolarized data,AD 2015 04 to 07,core validation site,biomass type,biomass amount,soil condition,RMSE,physically-based retrieval method,surface roughness,vegetation scale | Radar,Soil science,Biomass,Vegetation,L band,Computer science,Remote sensing,Surface finish,Scattering,Water content,Surface roughness | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-5090-3333-1 | 0 |
PageRank | References | Authors |
0.34 | 7 | 18 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sug-Whan Kim | 1 | 2 | 0.78 |
| J. Martin van Zyl | 2 | 383 | 103.08 |
| Joel T. Johnson | 3 | 926 | 116.14 |
| Mahta Moghaddam | 4 | 730 | 88.81 |
| Leung Tsang | 5 | 1053 | 168.28 |
| Andreas Colliander | 6 | 309 | 52.49 |
| R. Scott Dunbar | 7 | 99 | 61.48 |
| Thomas J. Jackson | 8 | 1368 | 247.01 |
| Sermsak Jaruwatanadilok | 9 | 18 | 5.41 |
| R. D. West | 10 | 25 | 9.14 |
| Aaron A. Berg | 11 | 55 | 11.51 |
| Todd Caldwell | 12 | 46 | 6.33 |
| Michael H. Cosh | 13 | 206 | 35.47 |
| Ernesto López-Baeza | 14 | 35 | 5.77 |
| Marc Thibeault | 15 | 37 | 3.70 |
| Jeffrey P. Walker | 16 | 231 | 32.78 |
| Dara Entekhabi | 17 | 416 | 75.14 |
| Simon H. Yueh | 18 | 686 | 146.14 |