2019
DOI: 10.1016/j.rse.2019.111314
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Exploring SMAP and OCO-2 observations to monitor soil moisture control on photosynthetic activity of global drylands and croplands

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Cited by 26 publications
(18 citation statements)
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“…Satellite observations of SM in drylands capture both instantaneous and antecedent precipitation inputs because a large fraction of precipitation remains in the surface SM for many days (McColl et al, 2017). Since vegetation density and soil water contents are low in drylands, both satellite‐based SM and LAI estimates have high retrieval accuracy (Gonsamo et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
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“…Satellite observations of SM in drylands capture both instantaneous and antecedent precipitation inputs because a large fraction of precipitation remains in the surface SM for many days (McColl et al, 2017). Since vegetation density and soil water contents are low in drylands, both satellite‐based SM and LAI estimates have high retrieval accuracy (Gonsamo et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…Since vegetation density and soil water contents are low in drylands, both satellite-based SM and LAI estimates have high retrieval accuracy (Gonsamo et al, 2019).…”
Section: Satellite Sm Datamentioning
confidence: 99%
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“…While microwave measurements are sensitive to the water in the top 5-10 centimeters of the soil profile, it has been shown that SM estimates averaged over several days are both physically and statistically correlated to deeper root zone soil moisture (Short Gianotti et al, 2019b;Akbar et al, 2018b). Studies investigating global drivers of photosynthesis tend to focus on linear relationships between these variables, which potentially neglects nonlinear conditions where photosynthesis is not-limited (Gonsamo et al, 2019;Teubner 90 et al, 2018). For example, the light use efficiency (LUE) model is widely used in Earth system modeling to simulate GPP as a linear function of absorbed light (Monteith, 1972).…”
mentioning
confidence: 99%