@inproceedings{03895d91f10b461aa77bfdc00b568ae8,
title = "Estimating the relative water content of leaves in a cotton canopy",
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.",
author = "Vern Vanderbilt and Craig Daughtry and Meredith Kupinski and Christine Bradley and Andrew French and Kevin Bronson and Russell Chipman and Robert Dahlgren",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Polarization Science and Remote Sensing VIII 2017 ; Conference date: 08-08-2017 Through 09-08-2017",
year = "2017",
doi = "10.1117/12.2274502",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Shaw, {Joseph A.} and Frans Snik",
booktitle = "Polarization Science and Remote Sensing VIII",
}