Precision agriculture requires high spectral and spatial resolution imagery for advanced analyses of crop and soil
conditions to increase environmental protection and producers' sustainability. GIS models that anticipate crop responses
to nutrients, water, and pesticides require high spatial detail to generate application prescription maps. While the added
precision of geo-spatial interpolation to field scouting generates improved zone maps and are an improvement over
field-wide applications, it is limited in detail due to expense, and lacks the high precision required for pixel level
applications. Multi-spectral imagery gives the spatial detail required, but broad band indexes are not sensitive to many
variables in the crop and soil environment. Hyperspectral imagery provides both the spatial detail of airborne imagery
and spectral resolution for spectroscopic and narrow band analysis techniques developed over recent decades in the laboratory that will advance precise determination of water and bio-physical properties of crops and soils.
For several years, we have conducted remote sensing investigations to improve cotton production through field
spectrometer measurements, and plant and soil samples in commercial fields and crop trials. We have developed
spectral analyses techniques for plant and soil conditions through determination of crop water status, effectiveness of
pre-harvest defoliant applications, and soil characterizations. We present the most promising of these spectroscopic
absorption and narrow band index techniques, and their application to airborne hyperspectral imagery in mapping the
variability in crops and soils.