Spectrometry and canopy analyses have been conducted to determine the suitable vegetative indices for estimating the amount of dry matter biomass of energy crops. The ground truth agronomic data were collected to correlate with image information captured from the top of a 38 m tower using multispectral camera on Miscanthus, Corn, Prairie grass and Switch grass. Four 8 m x 8 m plots were selected inside the four hectare field to track the vegetation changes over the growing season. The Vegetation Index (VI), Leaf Area Index (LAI), and intercepted Photosynthetically Active Radiation (PAR) of energy crops have been measured to develop model for predicting dry matter biomass. The central wavelengths for Green (550 nm), Red (670 nm), Red edge (700 and 750 nm), and NIR (800 nm) have been chosen for calculating several indices, NDVI and GNDVI. Color Infrared (CIR) images captured from the tower camera have been analyzed for four experimental plots to correlate ground truth data and the image information. Ortho-rectification and geo-referencing of images have been developed based on the Ground Control Points (GCP) collected by an RTK-GPS unit. The biomass yield and energy content are to be compared using remote sensing models for ground reference data and tower based multispectral images. The correlation with agronomic databases and spectral data is further research to evaluate for the validation and modification of sensing and data processing system.