Evaluating Leaf and Canopy Reflectance of Stressed Rice Plants to Monitor Arsenic Contamination

dc.contributor.authorBandaru, Varaprasad
dc.contributor.authorDaughtry, Craig S.
dc.contributor.authorCodling, Eton E.
dc.contributor.authorHansen, David J.
dc.contributor.authorWhite-Hansen, Susan
dc.contributor.authorGreen, Carrie E.
dc.date.accessioned2023-12-05T14:52:53Z
dc.date.available2023-12-05T14:52:53Z
dc.date.issued2016-06-18
dc.description.abstractArsenic contamination is a serious problem in rice cultivated soils of many developing countries. Hence, it is critical to monitor and control arsenic uptake in rice plants to avoid adverse effects on human health. This study evaluated the feasibility of using reflectance spectroscopy to monitor arsenic in rice plants. Four arsenic levels were induced in hydroponically grown rice plants with application of 0, 5, 10 and 20 µmol·L−1 sodium arsenate. Reflectance spectra of upper fully expanded leaves were acquired over visible and infrared (NIR) wavelengths. Additionally, canopy reflectance for the four arsenic levels was simulated using SAIL (Scattering by Arbitrarily Inclined Leaves) model for various soil moisture conditions and leaf area indices (LAI). Further, sensitivity of various vegetative indices (VIs) to arsenic levels was assessed. Results suggest that plants accumulate high arsenic amounts causing plant stress and changes in reflectance characteristics. All leaf spectra based VIs related strongly with arsenic with coefficient of determination (r2) greater than 0.6 while at canopy scale, background reflectance and LAI confounded with spectral signals of arsenic affecting the VIs’ performance. Among studied VIs, combined index, transformed chlorophyll absorption reflectance index (TCARI)/optimized soil adjusted vegetation index (OSAVI) exhibited higher sensitivity to arsenic levels and better resistance to soil backgrounds and LAI followed by red edge based VIs (modified chlorophyll absorption reflectance index (MCARI) and TCARI) suggesting that these VIs could prove to be valuable aids for monitoring arsenic in rice fields.
dc.description.urihttps://doi.org/10.3390/ijerph13060606
dc.identifierhttps://doi.org/10.13016/dspace/7ayf-b3s7
dc.identifier.citationBandaru, V.; Daughtry, C.S.; Codling, E.E.; Hansen, D.J.; White-Hansen, S.; Green, C.E. Evaluating Leaf and Canopy Reflectance of Stressed Rice Plants to Monitor Arsenic Contamination. Int. J. Environ. Res. Public Health 2016, 13, 606.
dc.identifier.urihttp://hdl.handle.net/1903/31532
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectplant stress
dc.subjectleaf chlorophyll
dc.subjectrice
dc.subjectarsenic uptake
dc.subjectspectral reflectance
dc.subjectSAIL model
dc.subjectred edge
dc.subjectvegetative indices
dc.subjectLAI
dc.subjectsoil reflectance
dc.titleEvaluating Leaf and Canopy Reflectance of Stressed Rice Plants to Monitor Arsenic Contamination
dc.typeArticle
local.equitableAccessSubmissionNo

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ijerph-13-00606.pdf
Size:
4.23 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.55 KB
Format:
Item-specific license agreed upon to submission
Description: