Within‐field soil moisture variability and time‐invariant spatial structures of agricultural fields in the US Midwest

Yang, Yi; Peng, Bin; Guan, Kaiyu; Pan, Ming; Franz, Trenton. E.; Cosh, Michael H.; Bernacchi, Carl J.

doi:10.1002/vzj2.20337

Title: Within‐field soil moisture variability and time‐invariant spatial structures of agricultural fields in the US Midwest

Journal Article · 25 April 2024 · Vadose Zone Journal

DOI: https://doi.org/10.1002/vzj2.20337 · OSTI ID:2341667

^[1]; Peng, Bin ^[1]; Guan, Kaiyu ^[2]; Pan, Ming ^[3];

^[4];

^[5]; Bernacchi, Carl J. ^[6]

Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment University of Illinois Urbana‐Champaign Urbana Illinois USA, College of Agricultural, Consumer and Environmental Sciences University of Illinois Urbana‐Champaign Urbana Illinois USA
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment University of Illinois Urbana‐Champaign Urbana Illinois USA, College of Agricultural, Consumer and Environmental Sciences University of Illinois Urbana‐Champaign Urbana Illinois USA, National Center for Supercomputing Applications University of Illinois Urbana‐Champaign Urbana Illinois USA
Scripps Institution of Oceanography University of California San Diego La Jolla California USA
School of Natural Resources University of Nebraska‐Lincoln Lincoln Nebraska USA
Hydrology and Remote Sensing Laboratory USDA ARS Beltsville Maryland USA
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment University of Illinois Urbana‐Champaign Urbana Illinois USA, Department of Plant Biology University of Illinois Urbana‐Champaign Urbana Illinois USA, Global Change and Photosynthesis Research Unit, USDA‐ARS Urbana Illinois USA

Abstract Understanding soil moisture variability and estimating high‐resolution soil moisture at subfield to field scales is critical for agricultural research and applications. However, systematic investigation of subfield scale soil moisture variability over cropland is still lacking from both measurement and satellite remote sensing. In this study, we aim to investigate (1) the characteristics of within‐field soil moisture distribution over typical cropland in the US Midwest and (2) the capabilities of satellite remote sensing in capturing the spatiotemporal variabilities of soil moisture at subfield scale. Specifically, we conducted soil moisture field experiments in three typical commercial agricultural fields (∼85 acres per field) in central Illinois, representing typical commercial farmlands in the US Midwest, and compared the soil moisture measurements with satellite remote sensing data from optical and active microwave sensors. In each field, dense soil moisture samples (spaced at 50–60 m) were obtained for two dry down events in May and July 2021, and multiple long‐term soil moisture stations were installed. We found prominent time‐invariant spatial structures of soil moisture at within‐field scales both during the dry down period and over longer time scales, and the stability is minimally affected by plant water use during the growing season. Comparing the field campaign measurements with satellite remote sensing data, we found that surface reflectance of shortwave infrared bands, such as SWIR1 (1610 nm) from Sentinel‐2, can capture relative surface soil moisture patterns at within‐field scales, but their relationships with soil moisture are field specific. These findings and the improved understanding of within‐field soil moisture dynamics could potentially help future research on high‐resolution soil moisture estimation with multi‐source remote sensing data.

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Sponsoring Organization:: USDOE

OSTI ID:: 2341667

Journal Information:: Vadose Zone Journal, Journal Name: Vadose Zone Journal; ISSN 1539-1663

Publisher:: Wiley Blackwell (John Wiley & Sons)Copyright Statement

Country of Publication:: United States

Language:: English

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