publication . Other literature type . Report . 2019

D6.1 Report on value-adding approaches and algorithms for single sensor and inter-sensor data processing. Deliverable report of project H2020 MONOCLE (grant 776480)

Jackson, Thomas; De Keukelaere, Liesbeth; Simis, Stefan; Peters, Steef; Burggraaff, Olivier; Schmidt, Norbert; Snik, Frans; Wood, John; Piera, Juame; Oller, Marc Ventura; ...
Open Access English
  • Published: 27 Jun 2019
  • Publisher: Zenodo
Abstract
This document highlights a number of techniques and approaches that are being tested in MONOCLE in order to increase the quality and utility of the data collected by the suite of sensors developed and used in the project. Many of the techniques discussed here could be used for other sensors in the field of water quality monitoring. The approaches can be split into two categories: 1) techniques/approaches that will optimise data processing procedures and 2) those that will allow increased information retrieval from a given dataset or combination of datasets. Following a discussion of both of these areas, we formulate intended tests and demonstrations to be perfor...
Subjects
free text keywords: MONOCLE, algorithm, signal-to-noise
Funded by
EC| MONOCLE
Project
MONOCLE
Multiscale Observation Networks for Optical monitoring of Coastal waters, Lakes and Estuaries
  • Funder: European Commission (EC)
  • Project Code: 776480
  • Funding stream: H2020 | RIA
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Zenodo
Other literature type . 2019
Provider: Datacite
ZENODO
Report . 2019
Provider: ZENODO
Zenodo
Other literature type . 2019
Provider: Datacite
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publication . Other literature type . Report . 2019

D6.1 Report on value-adding approaches and algorithms for single sensor and inter-sensor data processing. Deliverable report of project H2020 MONOCLE (grant 776480)

Jackson, Thomas; De Keukelaere, Liesbeth; Simis, Stefan; Peters, Steef; Burggraaff, Olivier; Schmidt, Norbert; Snik, Frans; Wood, John; Piera, Juame; Oller, Marc Ventura; ...