Our group aims to bridge between the disciplines of hydrology, climatology, and remote sensing to address critical global water resource issues. We are particularly interested in combining remote sensing techniques and physically-based and statistical approaches in order to develop more reliable models of large-scale hydrologic systems. Our long-term research objective is to utilize continuously growing satellite data along with ground-based observations to develop/improve integrated drought, flood and landslide modeling, prediction and decision support systems.
NEW : Multivariate Copula Analysis Toolbox (MvCAT) is now available for download (View and Download SDAT)
NEW : A package for nonstationary extreme value analysis (NEVA) is now available for download (View and Download NEVA)
Global Water Cycle & Remote Sensing of Environment
Compound Events & Multivariate Analysis