Estimating the relative water content of leaves in a cotton canopy
AuthorVanderbilt, Vern C.
Daughtry, Craig S. T.
Kupinski, Meredith K.
Bradley, Christine L.
French, Andrew N.
Chipman, Russell A.
Dahlgren, Robert P.
AffiliationUniv Arizona, Coll Opt Sci
MetadataShow full item record
PublisherSPIE-INT SOC OPTICAL ENGINEERING
CitationVern Vanderbilt, Craig Daughtry, Meredith Kupinski, Christine Bradley, Andrew French, Kevin Bronson, Russell Chipman, 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); doi: 10.1117/12.2274502; http://dx.doi.org/10.1117/12.2274502
Rights© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractRemotely 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, the Equivalent Water Thickness and the many other indices - 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 Multiangle SpectroPolarimetric Imager (GroundMSPI). Such estimators potentially provide access to the plant hydrological photochemistry that manifests scattering and absorption effects in the visible spectral region.
VersionFinal published version