Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
HS6.11 | Synthesising Remotely Sensed and In-Situ Data to Understand Hydrological Processes at Regional and Local Scales
EDI
Synthesising Remotely Sensed and In-Situ Data to Understand Hydrological Processes at Regional and Local Scales
Convener: Hajar ChoukraniECSECS | Co-conveners: Yonca Cavus, John W. Jones, Christina Anna Orieschnig
With the proliferation and wide accessibility of remotely sensed information, data from missions such as Landsat, Sentinel, and MODIS are being increasingly used to develop a better understanding of hydrological processes on the earth’s surface. Acquiring this understanding is a crucial prerequisite to ameliorate resource management, optimise the development of infrastructure, and adjust land use practices to changing climate conditions and hazards such as floods and droughts. However, many analyses incorporate remote sensing data by default and without a thorough critical examination of their applicability and limitations. In-situ data, though often less readily available and more eclectic, provide a valuable layer of information to act as a benchmark against methods relying solely on remotely sensed data.
This session aims to highlight innovative approaches to harnessing a synthesis of remotely sensed and in-situ data to better understand processes related to hydrology at regional and local scales in a variety of environments. We welcome contributions that focus on combining remote sensing and in-situ information and critically engage with this intersection with relation to:
- Processes such as evapotranspiration, infiltration, (Monsoon) inundations
- Hydrological extremes such as floods and droughts
- Hydrological processes shaping agricultural systems
- Intersections with societal processes and synergies with socio-hydrological approaches
- Coping with a sparsity of in-situ data in poorly gauged and ungauged basins
- Developing novel methods of gathering in-situ benchmark data to combine with remotely sensed approaches
- Reviewing recent synthesised advances of RS applications in hydrology, in natural and anthropised ecosystems
- Application of remote sensing in hydrological modelling, particularly using remotely sensed water cycle components to facilitate multi-variable calibration and spatial evaluation of hydrological models.