Using hyperspectral imagery to detect water stress in vineyards

Sean P. Hurley; Marc Horney; Aaron Drake

doi:10.1117/12.2518660

14 May 2019 Using hyperspectral imagery to detect water stress in vineyards

Sean P. Hurley, Marc Horney, Aaron Drake

Proceedings Volume 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV; 1100807 (2019) https://doi.org/10.1117/12.2518660
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

The purpose of this study is to examine water stress as determined by the stem water potential of two blocks of a commercial California vineyard growing two different varietals: Chenin Blanc and Cabernet. Hyperspectral reflectance data was collected from a system capturing spectra from 400 nm to 1,000 nm at a spectral resolution of 4 nm. The sensor was carried at an altitude of 75 meters above ground level by a helicopter UAS, producing a ground resolution of 3 cm. Sixty-six standard vegetative indices found in the literature were examined to see how well they predicted stem water potential utilizing simple linear regression. The five vegetative indices most related to stem water potential in terms of the coefficient of determination were the Photochemical Reflectance Index, the Green Red Ratio Index, the Ratio Vegetation Index, the Simple Ratio Index, and the Greenness Index. These indices had a coefficient of variation around 0.3. Nearly a third of the vegetative indices had a coefficient of determination less than 0.1 including the Water Band Index, the Water Index, and the Floating Position Water Band Index. Correlations of vegetative indices with stem water potentials were not improved by examining the two varietals separately.

Conference Presentation

Citation Download Citation

Sean P. Hurley, Marc Horney, and Aaron Drake "Using hyperspectral imagery to detect water stress in vineyards", Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 1100807 (14 May 2019); https://doi.org/10.1117/12.2518660

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available