title: Combining Remote Temperature Sensing with in-Situ Sensing to Track Marine/Freshwater Mixing Dynamics.
abstract: The ability to track the dynamics of processes in natural water bodies on a global scale, and at a resolution that enables highly localised behaviour to be visualized, is an ideal scenario for understanding how local events can influence the global environment. While advances in in-situ chem/bio-sensing continue to be reported, costs and reliability issues still inhibit the implementation of large-scale deployments. In contrast, physical parameters like surface temperature can be tracked on a global scale using satellite remote sensing, and locally at high resolution via flyovers and drones using multi-spectral imaging. In this study, we show how a much more complete picture of submarine and intertidal groundwater discharge patterns in Kinvara Bay, Galway can be achieved using a fusion of data collected from the Earth Observation satellite (Landsat 8), small aircraft and in-situ sensors. Over the course of the four-day field campaign, over 65,000 in-situ temperatures, salinity and nutrient measurements were collected in parallel with high-resolution thermal imaging from aircraft flyovers. The processed in-situ data show highly correlated patterns between temperature and salinity at the southern end of the bay where freshwater springs can be identified at low tide. Salinity values range from 1 to 2 ppt at the southern end of the bay to 30 ppt at the mouth of the bay, indicating the presence of a freshwater wedge. The data clearly show that temperature differences can be used to track the dynamics of freshwater and seawater mixing in the inner bay region. This outcome suggests that combining the tremendous spatial density and wide geographical reach of remote temperature sensing (using drones, flyovers and satellites) with ground-truthing via appropriately located in-situ sensors (temperature, salinity, chemical, and biological) can produce a much more complete and accurate picture of the water dynamics than each modality used in isolation.
authors: Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University, Dublin 9, Ireland. margaret.mccaul@dcu.ie.
authors: Margaret
authors: M
authors: McCaul
authors: Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University, Dublin 9, Ireland. jackbarland@gmail.com.
authors: Jack
authors: J
authors: Barland
authors: Carlow Institute of Technology, Carlow, Ireland. John.Cleary@itcarlow.ie.
authors: John
authors: J
authors: Cleary
authors: National Centre for Geocomputation Ireland, Maynooth, Ireland. Conor.Cahalane@nuim.ie.
authors: Conor
authors: C
authors: Cahalane
authors: National Centre for Geocomputation Ireland, Maynooth, Ireland. tim.mccarthy@nuim.ie.
authors: Tim
authors: T
authors: McCarthy
authors: Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University, Dublin 9, Ireland. dermot.diamond@dcu.ie.
authors: Dermot
authors: D
authors: Diamond
keywords: groundwater; in-situ sensing; nutrients; remote sensing; salinity; sea-surface temperature; sensor networks