Our research experience lies in the broad areas of remote sensing, and data assimilation for improving land surface hydrology. Multi-satellite assimilation and modeling platforms provide robust and complete land surface datasets (i.e., hydrology, energy, carbon fluxes). These platforms build a comprehensive description of the earth processes that is geared toward accurately representing the complexity of natural and anthropogenic interactions in land surface processes. Most importantly, these platforms are suitable as decision support tools for applications across different aspects of earth system science.