Spatial Distribution of Surface Soil Moisture under a Cornfield

dc.contributor.advisorHill, Robert Len_US
dc.contributor.authorFisher, Jacksonen_US
dc.contributor.departmentPlant Science and Landscape Architecture (PSLA)en_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.description.abstractAutocorrelation within surface soil moisture (SSM) data may be used to produce high-resolution spatial maps of SSM from point samples. The objective of this study was to characterize the temporal and spatial properties of SSM (0-5 cm) in a Beltsville, MD cornfield using capacitance probes. The range of spatial autocorrelation was approximately 10 m and the highest sill values were found at water contents (theta) between 20-27%. Nugget values represented a significant portion of the total variance (up to 50% for theta > 20% and 73% for theta < 12%). The patterns of SSM under wet conditions exhibited large, continuous polygons while drier conditions resulted in smaller, discreet regions. Early season (< 60 days) Auto-Regressive Moving-Average (ARMA) forecasts of SSM plotted against observed data resulted in R2 values from 0.15-0.26, while late season (>80 days) forecasts improved to 0.46-0.65. Forecasts were improved by autoregressive coefficients and additional SSM datasets.en_US
dc.format.extent4403875 bytes
dc.subject.pqcontrolledAgriculture, Agronomyen_US
dc.subject.pqcontrolledAgriculture, Soil Scienceen_US
dc.subject.pquncontrolledspatial autocorrelationen_US
dc.subject.pquncontrolledsurface soil moistureen_US
dc.subject.pquncontrolledcapacitance probeen_US
dc.subject.pquncontrolledauto regressive moving averageen_US
dc.subject.pquncontrolledtemporal stabilityen_US
dc.subject.pquncontrolledpatterns of continuityen_US
dc.titleSpatial Distribution of Surface Soil Moisture under a Cornfielden_US


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