Mapping surface soil properties through remote sensing can be used as add-on in soil survey and in site-specific farming. The objective of this study was to explore the relationship between bare soil reflectance and surface soil texture (sand, silt, and clay), organic matter, and soil moisture. High spatial (2 m) and spectral resolution (414-920 nm) hyperspectral /multispectral aerial imageries were collected over the Mississippi Delta region. Major soil types included Commerce (fine-silty, mixed, superactive, nonacid, thermic Fluvaquentic Endoaquepts), Robinsonville (coarse-loamy, mixed, superactive, nonacid, thermic Typic Udifluvents), and Convent (coarse-silty, mixed, superactive, nonacid, thermic Fluvaquentic Endoaquepts). Two hundred and nine surface soil samples were collected at 91 m grid nodes from a 162 ha field. Stepwise (backward & forward) and partial least square statistical methods were used to reduce the dimensionality of the data set. The resultant algorithms were used to create surface maps of soil texture, organic matter, and surface soil moisture.
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