KEYNOTE Integrating geospatial remote and in-situ sensing: Opportunities and challenges
Abstract
Globally, the move towards services based on so-called ‘big data’ is, and will increasingly, profoundly affect the way in which every aspect of society functions. The the environmental sector will be a major contributor... [ view full abstract ]
Globally, the move towards services based on so-called ‘big data’ is, and will increasingly, profoundly affect the way in which every aspect of society functions. The 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 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 to indicate the status of local chemistry/biology.
Authors
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Margaret McCaul
(Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University)
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Jack Barland
(Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University)
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Eoghan McNamara
(Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University)
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Peter McCluskey
(Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University)
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Conor Cahalane
(National Centre for Geocomputation, National University of Ireland, Maynooth)
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Tim McCarthy
(National Centre for Geocomputation, National University of Ireland, Maynooth)
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Dermot Diamond
(Insight Centre for Data Analytics, National Centre for Sensor Research, Dublin City University)
Topic Area
Choose your Organised Session from the list below: Regional geochemical mapping – methods
Session
KN-3A » Keynote Session 3 (15:30 - Wednesday, 17th August, O' Flaherty Theatre)