Home >> Tech Briefs >> Bio-Medical >> Using Hyperspectral Imagery To Identify Turfgrass Stresses

Using Hyperspectral Imagery To Identify Turfgrass Stresses

advertisement:

Stress maps could enable more-efficient management of large turfgrass fields.

The use of a form of remote sensing to aid in the management of large turfgrass fields (e.g. golf courses) has been proposed. A turfgrass field of interest would be surveyed in sunlight by use of an airborne hyperspectral imaging system, then the raw observational data would be preprocessed into hyperspectral reflectance image data. These data would be further processed to identify turfgrass stresses, to determine the spatial distributions of those stresses, and to generate maps showing the spatial distributions.

Viewing entire briefs requires login/registration. Registration is free and easy to complete. If you're already registered with Tech Briefs, simply login at the top of the page.

>> Newsletter

Subscribe today to receive the INSIDER, a FREE e-mail newsletter from NASA Tech Briefs featuring exclusive previews of upcoming articles, late breaking NASA and industry news, hot products and design ideas, links to online resources, and much more.

Sign up now >>