The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors
This article explores the quality of information acquired from weather station sensors. A review of literature in this field concludes that most publications concern the analysis of data acquired from weather station sensors and their characteristic properties, estimating the missing values from the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/4/693 |
| _version_ | 1827589308530294784 |
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| author | Marek Stawowy Wiktor Olchowik Adam Rosiński Tadeusz Dąbrowski |
| author_facet | Marek Stawowy Wiktor Olchowik Adam Rosiński Tadeusz Dąbrowski |
| author_sort | Marek Stawowy |
| collection | DOAJ |
| description | This article explores the quality of information acquired from weather station sensors. A review of literature in this field concludes that most publications concern the analysis of data acquired from weather station sensors and their characteristic properties, estimating the missing values from the data, and assessing the quality of weather information. Despite the large collection of studies devoted to these issues, there is no comprehensive approach that would consider the modelling of information uncertainty. Therefore, the article presents a proprietary method of analysing and modelling the uncertainty of the weather station sensors’ information quality. For this purpose, the structure of a real meteorological station and the measurement data obtained from it were analysed. Next, an information quality model was developed using the certainty factor (CF) of hypothesis calculation. The developed method was verified on an exemplary real meteorological station. It was found that this method enables the improvement of the quality of information obtained and processed in a multi-sensor system. This becomes practical when the influence of individual measurement system elements on the information quality reaching the recipient is determined. An example is furnished by a demonstration of the usage of two sensors to improve the information quality. |
| first_indexed | 2024-03-09T00:53:49Z |
| format | Article |
| id | doaj.art-b15e285f005544b78c97e8710ffb0be7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T00:53:49Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b15e285f005544b78c97e8710ffb0be72023-12-11T17:02:43ZengMDPI AGRemote Sensing2072-42922021-02-0113469310.3390/rs13040693The Analysis and Modelling of the Quality of Information Acquired from Weather Station SensorsMarek Stawowy0Wiktor Olchowik1Adam Rosiński2Tadeusz Dąbrowski3Faculty of Transport, Warsaw University of Technology, Koszykowa 75, Warsaw 00-661, PolandFaculty of Electronic, Military University of Technology, gen. S. Kaliskiego 2, Warsaw 00-661, PolandFaculty of Transport, Warsaw University of Technology, Koszykowa 75, Warsaw 00-661, PolandFaculty of Electronic, Military University of Technology, gen. S. Kaliskiego 2, Warsaw 00-661, PolandThis article explores the quality of information acquired from weather station sensors. A review of literature in this field concludes that most publications concern the analysis of data acquired from weather station sensors and their characteristic properties, estimating the missing values from the data, and assessing the quality of weather information. Despite the large collection of studies devoted to these issues, there is no comprehensive approach that would consider the modelling of information uncertainty. Therefore, the article presents a proprietary method of analysing and modelling the uncertainty of the weather station sensors’ information quality. For this purpose, the structure of a real meteorological station and the measurement data obtained from it were analysed. Next, an information quality model was developed using the certainty factor (CF) of hypothesis calculation. The developed method was verified on an exemplary real meteorological station. It was found that this method enables the improvement of the quality of information obtained and processed in a multi-sensor system. This becomes practical when the influence of individual measurement system elements on the information quality reaching the recipient is determined. An example is furnished by a demonstration of the usage of two sensors to improve the information quality.https://www.mdpi.com/2072-4292/13/4/693information qualityweather stationsensorsmodelling |
| spellingShingle | Marek Stawowy Wiktor Olchowik Adam Rosiński Tadeusz Dąbrowski The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors Remote Sensing information quality weather station sensors modelling |
| title | The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors |
| title_full | The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors |
| title_fullStr | The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors |
| title_full_unstemmed | The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors |
| title_short | The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors |
| title_sort | analysis and modelling of the quality of information acquired from weather station sensors |
| topic | information quality weather station sensors modelling |
| url | https://www.mdpi.com/2072-4292/13/4/693 |
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