Skip to main content
ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #325175

Research Project: Leveraging Remote Sensing, Land Surface Modeling and Ground-based Observations ... Variables within Heterogeneous Agricultural Landscapes

Location: Hydrology and Remote Sensing Laboratory

Title: Daily mapping of Landsat-like LAI and correlation to grape yield

Author
item SUN, LIANG - Collaborator
item Gao, Feng
item Anderson, Martha
item Dulaney, Wayne
item ALSINA, MIMAR - E & J Gallo Winery
item SANCHEZ, L. - E & J Gallo Winery
item SAMS, BRENT - E & J Gallo Winery
item McKee, Lynn
item White, William - Alex
item Kustas, William - Bill
item Alfieri, Joseph
item Prueger, John

Submitted to: Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 1/14/2016
Publication Date: 7/10/2016
Citation: Sun, L., Gao, F.N., Anderson, M.C., Dulaney, W.P., Alsina, M., Sanchez, L., Sams, B., Mckee, L.G., White, W.A., Kustas, W.P., Alfieri, J.G., Prueger, J.H. 2016. Daily mapping of Landsat-like LAI and correlation to grape yield. Meeting Abstract. 2016 CDROM.

Interpretive Summary:

Technical Abstract: Wine grape quality and quantity are affected by vine growing condition during some critical growing stages. In this paper, MODIS and Landsat were used to map daily LAI in the two Grape Remote sensing Atmospheric Profiling and Evapotranspiration eXperiment (GRAPEX) experiment fields near Lodi, Californiain 2013. Data fusion approach was applied to map daily LAI at 30m spatial resolution. The LAI data from two fields were validated using the in-situ measurements. The cumulative LAI from two fields were compared to the grape yields from 2013. High correlations are found between yield and the cumulative LAI. The within-season yield predictability was examined using daily LAI map. Results show that the grape yields are highly correlated with the cumulative LAI after June which suggests that the grape yields are predictable using remote sensing data 2-3 months prior to harvest under the normal condition.