Estimating the relative water content of leaves in a cotton canopy

Vern Vanderbilt; Craig Daughtry; Meredith Kupinski; Christine Bradley; Andrew French; Kevin Bronson; Russell Chipman; Robert Dahlgren

doi:10.1117/12.2274502

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30 August 2017 Estimating the relative water content of leaves in a cotton canopy

Vern Vanderbilt, Craig Daughtry, Meredith Kupinski, Christine Bradley, Andrew French, Kevin Bronson, Russell Chipman, Robert Dahlgren

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Proceedings Volume 10407, Polarization Science and Remote Sensing VIII; 104070Z (2017) https://doi.org/10.1117/12.2274502
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

Remotely sensing plant canopy water status remains a long term goal of remote sensing research. Established approaches to estimating canopy water status — the Crop Water Stress Index, the Water Deficit Index and the Equivalent Water Thickness — involve measurements in the thermal or reflective infrared. Here we report plant water status estimates based upon analysis of polarized visible imagery of a cotton canopy measured by ground Multi-Spectral Polarization Imager (MSPI). Such estimators potentially provide access to the plant hydrological photochemistry that manifests scattering and absorption effects in the visible spectral region.

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Vern Vanderbilt, Craig Daughtry, Meredith Kupinski, Christine Bradley, Andrew French, Kevin Bronson, Russell Chipman, and Robert Dahlgren "Estimating the relative water content of leaves in a cotton canopy", Proc. SPIE 10407, Polarization Science and Remote Sensing VIII, 104070Z (30 August 2017); https://doi.org/10.1117/12.2274502

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