Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations

Wade T. Crow; F. Chen; Andreas Colliander

doi:10.1016/j.rse.2022.113300

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Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations

Wade T. Crow F. Chen Andreas Colliander

Year: 2022 Journal: Remote Sensing of Environment Vol: 283 Pages: 113300-113300 Publisher: Elsevier BV

DOI: 10.1016/j.rse.2022.113300

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Keywords:

Downscaling Benchmarking Remote sensing Satellite Scale (ratio) Computer science Environmental science Ground segment Image resolution Data mining Meteorology Artificial intelligence Geology Geography Cartography

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Soil Moisture and Remote Sensing

Physical Sciences → Environmental Science → Environmental Engineering

Precipitation Measurement and Analysis

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Synthetic Aperture Radar (SAR) Applications and Techniques

Physical Sciences → Engineering → Aerospace Engineering

Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations

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