Speaker: Caleb Leedy
Abstract: Having high-quality data is important for effective decision making and policy. In this presentation, I propose a model to blend high-resolution weekly Landsat data with low-resolution daily MODIS data. This algorithm can be used to interpolate the Landsat data series so that one can have high-resolution daily data. Not only does this model build on the existing data fusion literature, but it also provides the statistical framework through which to understand the FSDAF algorithm of Zhu et al. (2016).