This dataset provides maps of 20 plant functional traits across a broad region of Santa Barbara County, California, USA. The maps were derived from AVIRIS-NG imagery collected during the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign between February and May 2022. Foliar traits were derived from the surface reflectance product by applying partial least squares regression models. These traits include foliar concentrations of cellulose, lignin, sugar, hemicellulose, aluminum, calcium, manganese, nitrogen, magnesium, potassium, phosphorus, and sulfur. Area content of chlorophylls, leaf dry mass, and leaf water content were estimated. Thirteen maps of surface reflectance (7 bands) by image acquisition date and a mask for ocean pixels are included. With near-weekly temporal resolution, the dataset captures phenological trajectories of plant traits across diverse ecosystems in the region. The data are provided in cloud optimized GeoTIFF format.