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  Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals

Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., Jeu, R. A. M. D., Wagner, W., van Dijk, A. I. J. M., et al. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436. doi:10.5194/hess-15-425-2011.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-4B0A-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-78D6-4
Genre: Journal Article

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http://dx.doi.org/10.5194/hess-15-425-2011 (Publisher version)
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Liu, Y. Y.1, Author
Parinussa, R. M., Author
Dorigo, W. A., Author
Jeu, R. A. M. De, Author
Wagner, W., Author
van Dijk, A. I. J. M., Author
McCabe, M. F., Author
Evans, J. P., Author
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1External Organizations, ou_persistent22              

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 Abstract: Combining information derived from satellitebased passive and active microwave sensors has the potential to offer improved estimates of surface soil moisture at global scale. We develop and evaluate a methodology that takes advantage of the retrieval characteristics of passive (AMSR-E) and active (ASCAT) microwave satellite estimates to produce an improved soil moisture product. First, volumetric soil water content (m3 m−3) from AMSR-E and degree of saturation (%) from ASCAT are rescaled against a reference land surface model data set using a cumulative distribution function matching approach. While this imposes any bias of the reference on the rescaled satellite products, it adjusts them to the same range and preserves the dynamics of original satellite-based products. Comparison with in situ measurements demonstrates that where the correlation coefficient between rescaled AMSR-E and ASCAT is greater than 0.65 (“transitional regions”), merging the different satellite products increases the number of observations while minimally changing the accuracy of soil moisture retrievals. These transitional regions also delineate the boundary between sparsely and moderately vegetated regions where rescaled AMSR-E and ASCAT, respectively, are used for the merged product. Therefore the merged product carries the advantages of better spatial coverage overall and increased number of observations, particularly for the transitional regions. The combination method developed has the potential to be applied Correspondence to: Y. Y. Liu (yi.y.liu@csiro.au) to existing microwave satellites as well as to new missions. Accordingly, a long-term global soil moisture dataset can be developed and extended, enhancing basic understanding of the role of soil moisture in the water, energy and carbon cycles.

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 Dates: 2011-01-252011-02-01
 Publication Status: Published online
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 Identifiers: Other: BPR019
DOI: 10.5194/hess-15-425-2011
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Title: Hydrology and Earth System Sciences
  Other : HESS
Source Genre: Journal
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Publ. Info: European Geosciences Union
Pages: - Volume / Issue: 15 Sequence Number: - Start / End Page: 425 - 436 Identifier: ISSN: 1607-7938
CoNE: https://pure.mpg.de/cone/journals/resource/1607-7938