| Session Details | |
| Section | HS - Hydrological Sciences |
| Session Title | Remote Sensing and Data Assimilation in Hydrology |
| Main Convener | Prof. Dawei Han (University of Bristol, United Kingdom) Dr. Ben Jarihani (University of the Sunshine Coast, Australia) |
| Co-convener(s) | Prof. Jeanne Jinhui Huang (Nankai University, China) |
| Session Description | Remote sensing in hydrology provides an effective means of observing the variables relevant to hydrological processes. Parameters such as precipitation, water height and extent, soil moisture, land use/land cover, evapotranspiration, land surface temperature can be extracted from remotely-sensed data at multiple spatial and temporal scales. While in situ measurement networks play a central role in the hydrological monitoring effort, remote sensing techniques can extensively contribute in, as they can provide with homogeneous and near real time measurements over large areas. Remote sensing plays a key role in assessing water resources, understanding surface water dynamics, characterizing and mitigating water related risks and enabling integrated management of water resources and aquatic ecosystems. During the last ten to twenty years a large number of satellites and sensors have been developed and launched that allow to quantify and monitor the variables relevant to hydrological processes. However, remote sensing data are still underused in hydrology. This session is to invite abstracts addressing remote sensing in hydrology with applications in hydrological processes, ungauged catchment, urban hydrology, climate and environmental changes, data fusion and assimilation, hydrological hazards, ecosystems. We encourage presentations related to remote sensing applications in hydrological science, including but not limited to: - Water Level, storage and discharge and their assimilation in hydrodynamic models; - Satellite precipitation products from measurement to modelling and application in catchment hydrology; - Soil moisture including field experiments, land surface modelling and data assimilation; - GRACE gravity satellite applications in terrestrial water storage changes; - UAVs in hydrological science; - Land use/cover change monitoring by remote sensing; - Techniques for evapotranspiration estimation; - Remote sensing of floods and flood-prone areas; - Remote sensing of soil erosion assessments; - Land surface temperature and its hydrological applications; - Field experiment, theoretical advances in remotely-sensed data and calibration and validation activities. |