Combining hyperspectral UAV and mulitspectral FORMOSAT-2 imagery for precision agriculture applications
Precision agriculture requires detailed information regarding the crop status variability within a field. Remote sensing provides an efficient way to obtain such information through observing biophysical parameters, such as canopy nitrogen content, leaf coverage, and plant biomass. However, individual remote sensing sensors often fail to provide information which meets the spatial and temporal res
