Remote sensing from various platforms plays an important role in hydroclimatic research by providing observations of key components in local to global water cycle and near surface processes.
Remotely sensed observations are directly used to aid qualitative assessments and decision support or integrated into process models to improve their spatial and temporal representation of land surface processes and predicting capabilities. This session invites contributions from researchers focusing on the use of remote sensing technologies for measuring hydroclimatic variables and their applications in process modelling and land/water management supports. Such variables include, but are not limited to, precipitation, evapotranspiration, biophysical processes, soil water, floods and droughts. Approaches that involve novel space-time analysis, conjunctive use of multiple sensors to increase data quality and utility, and application of remote sensing in hydroclimatic extremes along with their integration into hydrological modelling are especially welcomed.
Key topics: Remote sensing, Hydroclimate, Hydrologic modelling, Land surface processes