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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #392286
Research Project: Integrating Remote Sensing, Measurements and Modeling for Multi-Scale Assessment of Water Availability, Use, and Quality in Agroecosystems

Location: Hydrology and Remote Sensing Laboratory

Title: Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information

Author
item GAO, R. - Utah State University
item ALSINA, M. - E & J Gallo Winery
item TORRES, A. - Utah State University
item HIPPS, E. - Utah Health Science Center
item Kustas, William - Bill
item White, William - Alex
item Anderson, Martha
item Alfieri, Joseph
item DOKOOZLIAN, N. - E & J Gallo Winery
item NIETO, H. - Campus De Excelencia Internacional, Universidad Autónoma De Madrid & The Consejo Superior De Invest
item Gao, Feng
item McKee, Lynn
item Prueger, John
item SANCHEZ, L. - E & J Gallo Winery
item McElrone, Andrew
item BAMBACH, N. - University Of California, Davis
item COOPMANS, C. - Utah State University
item GOWING, I. - Utah State University

Submitted to: Society of Photo-Optical Instrumentation Engineers
Publication Type: Proceedings
Publication Acceptance Date: 5/2/2022
Publication Date: 6/3/2022
Citation: Gao, R., Alsina, M., Torres, A., Hipps, E., Kustas, W.P., White, W.A., Anderson, M.C., Alfieri, J.G., Dokoozlian, N., Nieto, H., Gao, F.N., McKee, L.G., Prueger, J.H., Sanchez, L., Mcelrone, A.J., Bambach, N., Coopmans, C., Gowing, I. 2022. Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information. Society of Photo-Optical Instrumentation Engineers. 7:121140K. https://doi.org/10.1117/12.2622995.
DOI: https://doi.org/10.1117/12.2622995

Interpretive Summary: N/A

Technical Abstract: Leaf water potential ('l) in vineyards and orchards is a major indicator of plant water status and stress. It can be estimated using the sum of the balancing pressure measured with a pressure chamber and the osmotic potential of the xylem sap in leafy shoots or leaves providing a direct, real-time opportunity for growers to make immediate crop and water management decisions. However, 'l measurement via the direct method presents challenges as it is labor and time intensive and represents leaf-level conditions for only a small sampling of the vineyard or orchard block. Considering this, small unmanned aerial system (sUAS) can potentially map 'l information across multiple vineyard and orchard blocks. In this study, we identify relationships and trends of vineyard 'l and sUAS imagery at different times of the day and throughout the growing season in California. This study examines aerial and ground measurements collected by the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX) program over a period of eight years across California. This preliminary analysis looks at spatial and temporal trends using stepwise regression and a clever generation of predictors from sUAS between leaf-level 'l measurements and sUAS optical, thermal, and elevation data to identify potential predictors of 'l and thus allow sUAS imagery to map 'l at individual grapevine scale across the block. This study can potentially improve the targeting of irrigation applications for vineyards and other perennial crops by mapping the spatial variability in 'l across multiple blocks during the growing the season and at critical phenological stages.