With the proliferation and wide accessibility of remotely sensed information, data from remotely piloted aircraft (RPA), piloted airplanes, and satellite missions such as Landsat, Sentinel, NISAR and VIIRS are being increasingly used to better our understanding of hydrological processes on the earth’s surface. 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 without a thorough critical examination of their applicability and limitations. In-situ data, though expensive to collect and therefore often less readily available, provide a valuable layer of information and a benchmark for methods relying on remotely sensed data.
This session invites contributions that highlight innovative approaches to synthesizing remotely sensed and in-situ data at local-to-regional scales. We welcome contributions that focus on combining multi-scale remote sensing and/or remote sensing with in-situ information and that critically engage this intersection to better understand:
* Processes such as evapotranspiration, infiltration, (Monsoon) inundations, water abstraction for agricultural use
* Hydrological extremes such as floods and droughts
* Improve monitoring and science in poorly gauged and ungauged basins
* Developing novel methods of gathering in-situ benchmark data to combine with remotely sensed approaches
Synthesising Multi-platform Remotely Sensed and In-Situ Data to Understand Hydrological Processes at Local-to-Regional Scales