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Combining satellite observations to develop a global soil moisture product for near real time applications

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Figure 2. Location of the networks used for validation in this study(SMOSMANIA, France, green dots; REMEDHUS, Spain, red rect-angle; Dahra, Senegal, blue dot; Cosmos, Kenya, orange dot).
Figure 3. Schematic flowchart illustrating the methodology for extending the ESA CCI SM dataset via NRT observations from ASCAT andAMSR2
Figure 4. Global blending map illustrating where active sensors (red), passive sensors (yellow) and the average of both (green) is used togenerate the ESA CCI SM product (modified from Liu et al., 2012).
Table 1. Statistical scores for ESA CCI SM/CCI NRT and in situ stations/networks (maximum depth 0.1 m) in Spain, France, Kenya andSenegal for 2013 (for the REMEDHUS and SMOSMANIA networks the table includes the bias range from minimum to maximum).
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