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Estimating Water Stress in Plants Using Hyperspectral Sensing

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  043065,  2004 ASAE Annual Meeting . (doi: 10.13031/2013.17087) @2004
Authors:   Carol L. Jones, Paul R. Weckler, Niels O. Maness, Marvin L. Stone, Roshani Jayasekara
Keywords:   Reflectance, hyperspectral, moisture content, water stress, spectroradiometer, spectral indices, plants, crops

The ability to estimate plant water content may provide valuable information to environmental and irrigation system managers to relieve dehydration symptoms and prevent permanent growth and production damage. A portable spectroradiometer was used to gather hyperspectral reflectance data from three plant species (corn, spinach and snap beans) grown in a greenhouse and subjected to different watering conditions to instigate different levels of moisture deficiency. Spectral bands at 950-970, 1150-1260, 1450, 1950, and 2250 nm and five indices (WI, NDVI, SIPI, fWBI, and WI/NDVI) were analyzed to determine the best method of nondestructively estimating plant water content. In corn and snap beans, the 1450 nm band data provided the best estimate (r2 = 0.67 and 0.50). In spinach, reflectance data from the 950-970 nm bands were the most useful (r2 = 0.94).

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