HS6.7 | 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: Christina Anna OrieschnigECSECS | Co-convener: John W. Jones

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, water abstraction for agricultural use
Hydrological extremes such as floods and droughts
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 application in hydrology, in natural and anthropised ecosystems

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, water abstraction for agricultural use
Hydrological extremes such as floods and droughts
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 application in hydrology, in natural and anthropised ecosystems