Using regional characteristics to improve uncalibrated estimation of rootzone soil moisture from optical/thermal remote-sensing

نویسندگان

چکیده

Remote-sensing methods based on optical and thermal satellite imagery have been proposed to estimate fine-resolution (30 m) rootzone soil moisture θ ¯ . In these methods, is most commonly estimated using a single empirical relationship with evaporative fraction Λ SEB or index PET Methods recently relationships regional climate, soil, vegetation characteristics, but those not yet applied from remote sensing data. The objective of this study evaluate the estimates when vs are inferred characteristics previously methods. Four regions considered including Walnut Gulch Experimental Watershed in Arizona, Piñon Canyon Maneuver Site Lower Arkansas River Valley Colorado, Little Washita Fort Cobb Watersheds Oklahoma, Mississippi Delta region Mississippi. regionally adapted compared situ measurements. consistently outperform form relationship. performance typically improves as more information used reduces root mean squared error by an average 45% among four regions. method performs better for arid semiarid errors 0.05 cm 3 −3 0.04 , respectively. capture both spatial temporal variations than • Soil optical/thermal without calibration in-situ index. characteristics. For regions, −3.

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ژورنال

عنوان ژورنال: Remote Sensing of Environment

سال: 2022

ISSN: ['0034-4257', '1879-0704']

DOI: https://doi.org/10.1016/j.rse.2022.112982