CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS
NoiseCapture is an Android application developed by the Gustave Eiffel University and the French National Centre for Scientific Research as central element of a participatory approach to environmental noise mapping. The application is open-source, and all its data are available freely. This study pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/387/2022/isprs-archives-XLVIII-4-W1-2022-387-2022.pdf |
| _version_ | 1811314970759004160 |
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| author | N. Roelandt P. Aumond L. Moisan |
| author_facet | N. Roelandt P. Aumond L. Moisan |
| author_sort | N. Roelandt |
| collection | DOAJ |
| description | NoiseCapture is an Android application developed by the Gustave Eiffel University and the French National Centre for Scientific Research as central element of a participatory approach to environmental noise mapping. The application is open-source, and all its data are available freely. This study presents the results of the first exploratory analysis of 3 years of data collection through the lens of sound sources. This analysis is only based on the tags given by the users and not on the sound spectrum of the measurement, which will be studied at a later stage. The first results are encouraging, we were able to observe well known temporal sound source dynamics like road sounds temporal dynamic related to commuting or bird songs in the dataset. We also found correlations between wind and rain tags and their measurements by the the national meteorological service. The context of the study, the Free and Open Source Software tools and techniques used and literate programming benefits are presented. |
| first_indexed | 2024-04-13T11:22:01Z |
| format | Article |
| id | doaj.art-3e528879902a4b87a6a97106894bfe10 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T11:22:01Z |
| publishDate | 2022-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-3e528879902a4b87a6a97106894bfe102022-12-22T02:48:48ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-08-01XLVIII-4-W1-202238739310.5194/isprs-archives-XLVIII-4-W1-2022-387-2022CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLSN. Roelandt0P. Aumond1L. Moisan2AME, Univ. Gustave Eiffel, IFSTTAR, F-69675 Bron, FranceUMRAE, Univ Gustave Eiffel, IFSTTAR, CEREMA, F-44344 Bouguenais, FranceUMRAE, Univ Gustave Eiffel, IFSTTAR, CEREMA, F-44344 Bouguenais, FranceNoiseCapture is an Android application developed by the Gustave Eiffel University and the French National Centre for Scientific Research as central element of a participatory approach to environmental noise mapping. The application is open-source, and all its data are available freely. This study presents the results of the first exploratory analysis of 3 years of data collection through the lens of sound sources. This analysis is only based on the tags given by the users and not on the sound spectrum of the measurement, which will be studied at a later stage. The first results are encouraging, we were able to observe well known temporal sound source dynamics like road sounds temporal dynamic related to commuting or bird songs in the dataset. We also found correlations between wind and rain tags and their measurements by the the national meteorological service. The context of the study, the Free and Open Source Software tools and techniques used and literate programming benefits are presented.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/387/2022/isprs-archives-XLVIII-4-W1-2022-387-2022.pdf |
| spellingShingle | N. Roelandt P. Aumond L. Moisan CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS |
| title_full | CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS |
| title_fullStr | CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS |
| title_full_unstemmed | CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS |
| title_short | CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS |
| title_sort | crowdsourced acoustic open data analysis with foss4g tools |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/387/2022/isprs-archives-XLVIII-4-W1-2022-387-2022.pdf |
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