We have developed and deployed a mast-mounted hyperspectral imaging polarimeter (HIP) and imaged corn fields across multiple diurnal cycles and growing seasons. Using the polarization data, we present results and methods demonstrating the use of polarized bidirectional reflectance distribution functions (pBRDFs) to correct for surface glare when measuring light more deeply scattered from the tissues. This technique reduces time of day, solar incidence angle, and viewing angle as confounding factors for spectral measurements.
We developed a mast-mounted hyperspectral imaging polarimeter (HIP) that images a corn field across multiple diurnal cycles throughout a growing season. Using the polarization data, we present preliminary results demonstrating the potential to use polarization to de-couple light reflected from the surface versus light scattered from the tissues, thus enabling time of day, solar incidence angle, and viewing angle to be reduced as confounding factors for the spectral measurement. Polarization correction is achieved through training neural networks and by creating a scattering model of corn leaves by measuring the Bidirectional Reflectance Distribution Function (BRDF).
Many correlations exist between spectral reflectance and various phenotypic responses from plants. Of interest to us are structural characteristics; namely, how the various spectral and polarimetric components may correlate to underlying environmental, metabolic, and genotypic differences among plant varieties within a given species. In this paper, we overview a portable Mueller matrix imaging spectropolarimeter that has been optimized for field use. Key aspects to the design included minimizing the measurement time while maximizing signal-to-noise ratio with low systematic errors. These goals must be achieved while maintaining an imaging capability across multiple measurement wavelengths, spanning the blue to near-infrared spectral region. To this end, we will review our optimization procedure, simulations, and experimental results, including preliminary field data taken from our summer 2021 field trials.
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