Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis
In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/19/5/1185 |
| _version_ | 1798005783451926528 |
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| author | Daniele Strigaro Massimiliano Cannata Milan Antonovic |
| author_facet | Daniele Strigaro Massimiliano Cannata Milan Antonovic |
| author_sort | Daniele Strigaro |
| collection | DOAJ |
| description | In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem. This research quantitatively evaluates the data quality of a non-conventional, low-cost and fully open system. The proposed novel solution was tested for a duration of 8 months, and the collected observations were compared with a nearby authoritative weather station. The experimental weather station is based in Arduino and transmits data through the 2G General Packet Radio Service (GPRS) to the istSOS which is a software to set-up a web service to collect, share and manage observations from sensor networks using the Sensor Observation Service (SOS) standard of the Open Geospatial Consortium (OGC). The results demonstrated that this accessible solution produces data of appropriate quality for natural resource and risk management. |
| first_indexed | 2024-04-11T12:45:29Z |
| format | Article |
| id | doaj.art-bf1b36eac8c74eddb2b1b2217b5acdfd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:45:29Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bf1b36eac8c74eddb2b1b2217b5acdfd2022-12-22T04:23:23ZengMDPI AGSensors1424-82202019-03-01195118510.3390/s19051185s19051185Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality AnalysisDaniele Strigaro0Massimiliano Cannata1Milan Antonovic2Institute of earth Sciences (IST), Department for Environment Constructions and Design (DACD), University of Applied Sciences and Arts of Southern Switzerland (SUPSI), CH-6952 Canobbio, SwitzerlandInstitute of earth Sciences (IST), Department for Environment Constructions and Design (DACD), University of Applied Sciences and Arts of Southern Switzerland (SUPSI), CH-6952 Canobbio, SwitzerlandInstitute of earth Sciences (IST), Department for Environment Constructions and Design (DACD), University of Applied Sciences and Arts of Southern Switzerland (SUPSI), CH-6952 Canobbio, SwitzerlandIn low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem. This research quantitatively evaluates the data quality of a non-conventional, low-cost and fully open system. The proposed novel solution was tested for a duration of 8 months, and the collected observations were compared with a nearby authoritative weather station. The experimental weather station is based in Arduino and transmits data through the 2G General Packet Radio Service (GPRS) to the istSOS which is a software to set-up a web service to collect, share and manage observations from sensor networks using the Sensor Observation Service (SOS) standard of the Open Geospatial Consortium (OGC). The results demonstrated that this accessible solution produces data of appropriate quality for natural resource and risk management.http://www.mdpi.com/1424-8220/19/5/11854onsebig dataMonitoringistSOSlow-costOGCSOS |
| spellingShingle | Daniele Strigaro Massimiliano Cannata Milan Antonovic Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis Sensors 4onse big data Monitoring istSOS low-cost OGC SOS |
| title | Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis |
| title_full | Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis |
| title_fullStr | Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis |
| title_full_unstemmed | Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis |
| title_short | Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis |
| title_sort | boosting a weather monitoring system in low income economies using open and non conventional systems data quality analysis |
| topic | 4onse big data Monitoring istSOS low-cost OGC SOS |
| url | http://www.mdpi.com/1424-8220/19/5/1185 |
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