ESTIMATING WITHIN-FIELD VARIATIONS IN SOIL PROPERTIES FROM AIRBORNE HYPERSPECTRAL IMAGES

The ability of hyperspectral image (HSI) data to provide estimates of soil electrical conductivity and soil fertility levels without requiring extensive field data collection was investigated. The relationships between HSI spectral reference signatures and soil properties were analyzed to evaluate the usefulness of HSI for quantifying within-field spatial variability. Rare soil images were acquired using a prism grating pushbroom scanner in April 2000 and May 2001 for a central Missouri experimental field in a minimum tillage corn-soybean rotation. Data were converted to reflectance using chemically-treated reference tarps with eight known reflectance levels. Geometric distortions of the pushbroom sensor images were corrected with a rubber sheeting transformation.

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