干旱区生态环境知识资源中心(Arid): Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia

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DOI	10.1016/j.advwatres.2019.103426
	Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia
	Neuhauser, M.; Verrier, S.; Merlin, O.; Molero, B.; Suere, C.; Mangiarotti, S.
通讯作者	Neuhauser, M.
来源期刊	ADVANCES IN WATER RESOURCES
ISSN	0309-1708
EISSN	1872-9657
出版年	2019
卷号	134
英文摘要	Soil moisture has a strong impact on climate, hydrology and agronomy at different space scales, from the continent global scale to the local watershed. Passive microwave sensors, like SMOS satellite (Soil Moisture and Ocean Salinity), allow a global study of soil moisture on the entire globe. To have access to kilometric variability, disaggregation algorithms have been developed, such as the Disaggregation based on Physical And Theoretical scale Change (DisPATCh). This method improves the space resolution of SMOS soil moisture from 40 km to 1 km. To do this, it combines coarse-scale (approximate to 40 km) SMOS products with fine-scale (approximate to 1 km) optical/thermal data. Validation studies on specific scales showed the potential of DisPATCh to enhance the spatio-temporal correlation of disaggregated SM with in-situ measurements, under low-vegetated semi-arid regions. Although the efficiency of the method was revealed in these regions, no studies fully explored its statistical behavior over a continuum of space scales. In this paper, we studied and compared the spatial mull-scale statistics of the different input and output datasets involved in DisPATCh downscaling. To do this, we applied spectral and multifractal analysis on the respective products for the region of southeastern Australia, from June to December 2010. Fractal and multifractal properties (in the framework of the Universal Multifractal model) were observed on inputs of DisPATCh (SMOS soil moisture, MODIS vegetation indices and surface temperature), which confirmed and completed some results reported in existing literature. For the output disaggregated soil moisture, two scaling regimes were observed, with a transition scale observed at about ten kilometers. Considering spectral analysis, at large scales (> 10 km), disaggregated soil moisture was found to have the same scaling as the original SMOS soil moisture. On finer scales (< 10 km), a different behavior was noticed, with a higher value of the slope of the power spectrum. The same scale break was detected on statistical moments, showing that both spectral and multifractal properties of DisPATCh soil moisture are characterized by this twofold scaling signature.
英文关键词	Soil moisture Multi-scale analysis Multifractals Disaggregation SMOS DisPATCh
类型	Article
语种	英语
国家	France
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000496256900002
WOS关键词	L-BAND RADIOMETER ; AMSR-E ; HIGH-RESOLUTION ; UNIVERSAL MULTIFRACTALS ; PERFORMANCE METRICS ; SPATIAL CORRELATION ; MICROWAVE EMISSION ; LOCAL-STRUCTURE ; MESO-NH ; SURFACE
WOS类目	Water Resources
WOS研究方向	Water Resources
EI主题词	2019-12-01
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311335
作者单位	Univ Toulouse, CESBIO, CNES, CNRS,INRA,IRD,UPS, Toulouse, France
推荐引用方式 GB/T 7714	Neuhauser, M.,Verrier, S.,Merlin, O.,et al. Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia[J]. French National Research Institute for Sustainable Development,2019,134.
APA	Neuhauser, M.,Verrier, S.,Merlin, O.,Molero, B.,Suere, C.,&Mangiarotti, S..(2019).Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia.ADVANCES IN WATER RESOURCES,134.
MLA	Neuhauser, M.,et al."Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia".ADVANCES IN WATER RESOURCES 134(2019).