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Zhao, T. J., Zhang, L. X., Shi, J. C., Jiang, L. M. (2011) A physically based statistical methodology for surface soil moisture retrieval in the Tibet Plateau using microwave vegetation indices. Journal of Geophysical Research, 116. doi:10.1029/2010jd015229

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Reference TypeJournal (article/letter/editorial)
TitleA physically based statistical methodology for surface soil moisture retrieval in the Tibet Plateau using microwave vegetation indices
JournalJournal of Geophysical Research
AuthorsZhao, T. J.Author
Zhang, L. X.Author
Shi, J. C.Author
Jiang, L. M.Author
Year2011 (April 21)Volume116
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1029/2010jd015229Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID886914Long-form Identifiermindat:1:5:886914:6
GUID0
Full ReferenceZhao, T. J., Zhang, L. X., Shi, J. C., Jiang, L. M. (2011) A physically based statistical methodology for surface soil moisture retrieval in the Tibet Plateau using microwave vegetation indices. Journal of Geophysical Research, 116. doi:10.1029/2010jd015229
Plain TextZhao, T. J., Zhang, L. X., Shi, J. C., Jiang, L. M. (2011) A physically based statistical methodology for surface soil moisture retrieval in the Tibet Plateau using microwave vegetation indices. Journal of Geophysical Research, 116. doi:10.1029/2010jd015229
In(2011) Journal of Geophysical Research Vol. 116. American Geophysical Union (AGU)

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Owe, M., de Jeu, R., Walker, J. (2001) A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Transactions on Geoscience and Remote Sensing, 39 (8) 1643-1654 doi:10.1109/36.942542
Ebtehaj, Ardeshir, Bras, Rafael L. (2019) A physically constrained inversion for high-resolution passive microwave retrieval of soil moisture and vegetation water content in L-band. Remote Sensing of Environment, 233. 111346pp. doi:10.1016/j.rse.2019.111346
Kolassa, J., Aires, F., Polcher, J., Prigent, C., Jimenez, C., Pereira, J. M. (2013) Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology. Journal of Geophysical Research: Atmospheres, 118 (10). 4847-4859 doi:10.1029/2012jd018150
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Shi, J., Jiang, L., Zhang, L., Chen, K.S., Wigneron, J.P., Chanzy, A., Jackson, T.J. (2006) Physically Based Estimation of Bare-Surface Soil Moisture With the Passive Radiometers. IEEE Transactions on Geoscience and Remote Sensing, 44 (11) 3145-3153 doi:10.1109/tgrs.2006.876706
Mao, K. B., Tang, H. J., Zhang, L. X., Li, M. C., Guo, Y., Zhao, D. Z. (2008) A method for retrieving soil moisture in Tibet region by utilizing microwave index from TRMM/TMI data. International Journal of Remote Sensing, 29 (10). doi:10.1080/01431160701442104
Zhao, Tianjie, Shi, Jiancheng, Bindlish, Rajat, Jackson, Thomas, Cosh, Michael, Jiang, Lingmei, Zhang, Zhongjun, Lan, Huimin (2015) Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval. Physics and Chemistry of the Earth, Parts A/B/C, 83. 65-74 doi:10.1016/j.pce.2015.04.001
Pitman, A. J., Slater, A. G., Desborough, C. E., Zhao, M. (1999) Uncertainty in the simulation of runoff due to the parameterization of frozen soil moisture using the Global Soil Wetness Project methodology. Journal of Geophysical Research: Atmospheres, 104. 16879-16888 doi:10.1029/1999jd900261
Crow, W. T., van den Berg, M. J., Huffman, G. J., Pellarin, T. (2011) Correcting rainfall using satellite-based surface soil moisture retrievals: The Soil Moisture Analysis Rainfall Tool (SMART). Water Resources Research, 47 (8). doi:10.1029/2011wr010576
Cui, J., Galand, M., Coates, A. J., Zhang, T. L., Müller-Wodarg, I. C. F. (2011) Suprathermal electron spectra in the Venus ionosphere. Journal of Geophysical Research: Space Physics, 116. doi:10.1029/2010ja016153
Bolten, J. D., Crow, W. T. (2012) Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture. Geophysical Research Letters, 39 (19) doi:10.1029/2012gl053470
 
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