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Tracking dynamics of freshwater and marine water mixing using satellite and flyover thermal imaging combined with in-situ sensing

McCaul, Margaret and Barland, Jack and McNamara, Eoghan and McCluskey, Peter and Cahalane, Conor and McCarthy, Tim and Diamond, Dermot (2016) Tracking dynamics of freshwater and marine water mixing using satellite and flyover thermal imaging combined with in-situ sensing. In: Innovation in Environmental Monitoring, 21-22 Sept 2016, University of York, York, UK.

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The move towards services based on so-called ‘big data’ is already (and will increasingly) having a profound impact on almost every aspect of modern society. The environmental sector will be a major contributor to these changes, based on multi-modal information obtained from numerous sources. Critical to the creation of new services and related industries that will emerge from these trends will be access to high quality data that is essential for informed and accurate decision-making across agriculture and land use, optimised food production, management of water bodies, prediction of major climatic events (e.g. flooding, droughts) and organisation of their subsequent management. Two major sources of environmental information will be via remote sensing using satellite and flyovers (including drones), and in-situ distributed monitoring using sensor networks. In this paper, I will discuss the strengths and weaknesses of remote and in-situ sensing, and show how many of the weaknesses of each can be overcome by pooling the information from both sources, as this will enable the creation of a much more complete and robust picture of environmental status over time. Issues related to long-term in-situ chemical and biosensing will be discussed, along with the potential use of surrogate measurements (e.g. temperature) to track changes in the status of local chemistry/biology. *Corresponding Author:

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Conference
Uncontrolled Keywords:Earth Observation; satellite remote sensing; multispectral imaging
Subjects:Physical Sciences > Analytical chemistry
Biological Sciences > Microfluidics
Physical Sciences > Chemical detectors
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Research Initiatives and Centres > National Centre for Sensor Research (NCSR)
Funders:Science Foundation Ireland, European Framework Programme 7, SmartBay, Enterprise Ireland, Environmental Protection Agency
ID Code:21411
Deposited On:07 Oct 2016 11:51 by Dermot Diamond. Last Modified 14 Jul 2017 10:57

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