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Dynamic evaluation and visualisation of the quality and reliability of sensor data sources

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journal contribution
posted on 2023-05-17, 20:45 authored by Dutta, R, D'Este, C, Morshed, A, Smith, D, Das, A, Jagannath Aryal
Before using remote data sources, or those from external organisations, it is important to establish if the source is fit for purpose. We have developed an approach to automatic sensor data annotation and visualisation that evaluates overall sensor network performance and data quality. The CSIRO’s South Esk hydrological sensor web combines data related to water management from five different organisations, which provides a suitable platform to explore the issues of reliability and uncertainty. An environmental gridded surface is generated based on the observations and evaluations of quality and reliability of the sensor node provider.

History

Publication title

International Journal of Advanced Computer Science and Applications

Volume

4

Issue

8

Pagination

96-103

ISSN

2156-5570

Department/School

School of Engineering

Publisher

The Science and Information Organization Inc.

Place of publication

United States

Rights statement

Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0) http://creativecommons.org/licenses/by/3.0/

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the environmental sciences

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    University Of Tasmania

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