Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer
The lidar ceilometer estimates cloud height by analyzing backscatter data. This study examines weather detectability using a lidar ceilometer by making an unprecedented attempt at detecting weather phenomena through the application of machine learning techniques to the backscatter data obtained from...
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| Format: | Article |
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MDPI AG
2020-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/18/6452 |
| _version_ | 1827706062196703232 |
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| author | Yong-Hyuk Kim Seung-Hyun Moon Yourim Yoon |
| author_facet | Yong-Hyuk Kim Seung-Hyun Moon Yourim Yoon |
| author_sort | Yong-Hyuk Kim |
| collection | DOAJ |
| description | The lidar ceilometer estimates cloud height by analyzing backscatter data. This study examines weather detectability using a lidar ceilometer by making an unprecedented attempt at detecting weather phenomena through the application of machine learning techniques to the backscatter data obtained from a lidar ceilometer. This study investigates the weather phenomena of precipitation and fog, which are expected to greatly affect backscatter data. In this experiment, the backscatter data obtained from the lidar ceilometer, CL51, installed in Boseong, South Korea, were used. For validation, the data from the automatic weather station for precipitation and visibility sensor PWD20 for fog, installed at the same location, were used. The experimental results showed potential for precipitation detection, which yielded an F1 score of 0.34. However, fog detection was found to be very difficult and yielded an F1 score of 0.10. |
| first_indexed | 2024-03-10T16:17:16Z |
| format | Article |
| id | doaj.art-1c7d4d1be72e4dcebc069501e9276650 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T16:17:16Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1c7d4d1be72e4dcebc069501e92766502023-11-20T13:56:25ZengMDPI AGApplied Sciences2076-34172020-09-011018645210.3390/app10186452Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar CeilometerYong-Hyuk Kim0Seung-Hyun Moon1Yourim Yoon2School of Software, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, KoreaSchool of Software, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, KoreaDepartment of Computer Engineering, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, KoreaThe lidar ceilometer estimates cloud height by analyzing backscatter data. This study examines weather detectability using a lidar ceilometer by making an unprecedented attempt at detecting weather phenomena through the application of machine learning techniques to the backscatter data obtained from a lidar ceilometer. This study investigates the weather phenomena of precipitation and fog, which are expected to greatly affect backscatter data. In this experiment, the backscatter data obtained from the lidar ceilometer, CL51, installed in Boseong, South Korea, were used. For validation, the data from the automatic weather station for precipitation and visibility sensor PWD20 for fog, installed at the same location, were used. The experimental results showed potential for precipitation detection, which yielded an F1 score of 0.34. However, fog detection was found to be very difficult and yielded an F1 score of 0.10.https://www.mdpi.com/2076-3417/10/18/6452backscatter datalidar ceilometerweather detectionmachine learning |
| spellingShingle | Yong-Hyuk Kim Seung-Hyun Moon Yourim Yoon Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer Applied Sciences backscatter data lidar ceilometer weather detection machine learning |
| title | Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer |
| title_full | Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer |
| title_fullStr | Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer |
| title_full_unstemmed | Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer |
| title_short | Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer |
| title_sort | detection of precipitation and fog using machine learning on backscatter data from lidar ceilometer |
| topic | backscatter data lidar ceilometer weather detection machine learning |
| url | https://www.mdpi.com/2076-3417/10/18/6452 |
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