|SUN, LIANG - Collaborator|
|ALSINA, MIMAR - E & J Gallo Winery|
|SANCHEZ, L. - E & J Gallo Winery|
|SAMS, BRENT - E & J Gallo Winery|
|White, William - Alex|
|Kustas, William - Bill|
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.
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.