2012
DOI: 10.1109/tgrs.2012.2186581
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Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network

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Cited by 233 publications
(154 citation statements)
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“…Finally, the 8-20% interval (eight stations) presented a positive bias lower than the overall proportion (12.5% positive and 87.5% negative). Underestimation was identified by some authors during the validation procedures [1,6,24,44,47,48]. He et al [49] verified that the sun-glint, which is the reflected solar radiation from the land surface near the specular direction, can affect the brightness temperature by increasing emissivity and decreasing soil moisture, which result in negative BIAS.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the 8-20% interval (eight stations) presented a positive bias lower than the overall proportion (12.5% positive and 87.5% negative). Underestimation was identified by some authors during the validation procedures [1,6,24,44,47,48]. He et al [49] verified that the sun-glint, which is the reflected solar radiation from the land surface near the specular direction, can affect the brightness temperature by increasing emissivity and decreasing soil moisture, which result in negative BIAS.…”
Section: Discussionmentioning
confidence: 99%
“…In this study, we focused on four networks within CONUS that have been examined in previous studies. Al Bitar et al (2012) (Jackson et al, 1999) and the US Climate Reference Network (USCRN; 20 cm; Bell et al, 2013). Complete ARM observations only existed from eras 1 to 4, and USCRN data were available for only era 5 (Table 1).…”
Section: In Situ Soil Moisturementioning
confidence: 99%
“…Liu et al (2012) described the development of two extensively validated surface soil moisture products. These products were created using a harmonized dataset based on all available soil moisture retrievals: one from the Vienna University of Technology (TU Wien) based on active microwave observations (Wagner et al, 2003;Bartalis et al, 2007) and one from the Vrije Universiteit Amsterdam (VUA), in collaboration with the NASA Goddard Space Flight Center Hydrological Sciences Laboratory, based on passive microwave observations (Owe et al, 2008). This effort was a part of the ESA Climate Change Initiative (CCI).…”
mentioning
confidence: 99%
“…It takes into consideration the combined effect of three sources of spatial heterogeneity (soil texture, land cover and antenna footprint) present within a SMOS pixel and that can be computed as in [28]:…”
Section: Merging Active and Passive Microwave Soil Moisturementioning
confidence: 99%
“…SMOS provides soil moisture at a temporal resolution of 3 days at the equator and at a nominal spatial resolution of 40 km [26]. Several validation studies provided insights into the reliability and robustness of the soil moisture estimates from SMOS [2,[27][28][29] and over India [30]. RADAR SATellite-2 (RADARSAT-2) is an active microwave satellite mission operating in C-band, capable of retrieving surface soil moisture at a spatial resolution of less than 100 m and with a temporal resolution of 24 days [31].…”
Section: Introductionmentioning
confidence: 99%