Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Integrating geospatial remote and in-situ sensing: opportunities and challenges

McCaul, Margaret and Barland, Jack and McNamara, Eoghan and McCluskey, Peter and Cahalane, Conor and McCarthy, Tim and Diamond, Dermot (2016) Integrating geospatial remote and in-situ sensing: opportunities and challenges. In: ISEH2016 & ISEG2016, 15-17 Aug 2016, NUIG, Galway, Ireland.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
8Mb

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.

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Conference
Refereed:No
Uncontrolled Keywords:Satellite earth observation; Remote sensing; Sea surface temperature; In-situ sensor networks
Subjects:Physical Sciences > Analytical chemistry
Biological Sciences > Microfluidics
Physical Sciences > Environmental chemistry
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)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, European Framework Programme 7 CommonSense, SmartBay
ID Code:21334
Deposited On:23 Aug 2016 10:37 by Dermot Diamond. Last Modified 14 Jul 2017 10:58

Download statistics

Archive Staff Only: edit this record