Remotely sensed observations from a wide range of platforms from unmanned aerial vehicles (UAVs) to satellites have become important tools to understand the hydrological, biophysical and other land surface processes. The remotely sensed observations are either directly used for qualitative assessments and decision support, or integrated into process models to improve the spatial representation of land surface processes and their predicting capabilities. The goal of this session is to highlight novel remote sensing platforms, such as miniaturised UAV-borne systems, and their applications in process modelling and land/water management supports. Areas of interest include; UAV-borne high-resolution sensing, innovations in retrieval algorithms, novel blending of multi-sensor products, new applications of existing data to various processes/decision support and integration of remotely sensed observations into models via calibration and prediction updating schemes.