2022
DOI: 10.3390/rs14143329
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Assessing the Spatiotemporal Variability of SMAP Soil Moisture Accuracy in a Deciduous Forest Region

Abstract: The goal of this study is to assess the temporal variability of the performance of the Soil Moisture Active Passive, SMAP, soil moisture retrievals throughout the seasons as surface conditions change. In-situ soil moisture observations from a network deployed in Millbrook, New York, between 2019 and 2021 are used. The network comprises 25 stations distributed across a 33-km SMAP pixel with a predominantly forest land cover. The in-situ soil moisture observations were collected between 6 and 7 a.m., local time.… Show more

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Cited by 9 publications
(5 citation statements)
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“…Ref. [34] found that SMAP measurements are systematically higher than in situ soil moisture values. Other studies of the SMAP soil moisture [35,36] have indicated soil moisture underestimation in vegetated conditions, but the accuracy of the in situ-measured soil moisture data is a key factor in validation results.…”
Section: Resultsmentioning
confidence: 99%
“…Ref. [34] found that SMAP measurements are systematically higher than in situ soil moisture values. Other studies of the SMAP soil moisture [35,36] have indicated soil moisture underestimation in vegetated conditions, but the accuracy of the in situ-measured soil moisture data is a key factor in validation results.…”
Section: Resultsmentioning
confidence: 99%
“…The advent of satellite missions like the NASA SMAP that hold a potential to enhance streamflow forecast through data assimilation. This requires an exhaustive calibration and validation of the sensor's estimates through various field campaigns [63,64].…”
Section: Discussionmentioning
confidence: 99%
“…Refer to Figure 3 for the distribution of sites and to Table 2 for detailed information on the sites. Note that soil temperature is an important dynamic auxiliary parameter because SM sensors do not provide reliable measurements when the soil temperature is below 4 degrees Celsius [31], so these data were removed during validation. station (3 km, 9 km, and 36 km).…”
Section: In Situ Datamentioning
confidence: 99%