IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA
Weather radar is an active remote sensing instrument for various hydrological and meteorological applications. One advantage of weather radar is its ability to detect rainfall in space and time with high spatial resolution. However, one of the issues that contaminate radar observations is ground clu...
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| Format: | Article |
| Language: | English |
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Universitas Negeri Jakarta
2023-12-01
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| Series: | Spektra: Jurnal Fisika dan Aplikasinya |
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| Online Access: | https://journal.unj.ac.id/unj/index.php/spektra/article/view/42609 |
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| author | Wildan Nurahman Abdullah Ali Riser Fahdiran |
| author_facet | Wildan Nurahman Abdullah Ali Riser Fahdiran |
| author_sort | Wildan Nurahman |
| collection | DOAJ |
| description | Weather radar is an active remote sensing instrument for various hydrological and meteorological applications. One advantage of weather radar is its ability to detect rainfall in space and time with high spatial resolution. However, one of the issues that contaminate radar observations is ground clutter. Ground clutter is a signal or echo from non-meteorological objects on the earth’s surface that are stationary in the time domain. Detecting and mitigating clutter effects is crucial to achieve precise weather measurements. This research aims to implement the Gabella and random forest methods to detect ground clutter in Padang weather radar data and determine the optimal method between the two. The implementation of the Gabella method for detecting ground clutter in Padang weather radar data was suboptimal. This was due to the most duplicated data at the same point being only 15.97% of the total data. Meanwhile the random forest method obtained a kappa value of 92.03%. This indicates that the random forest model created using 2000 trees as the parameter performs well. Based on these results, the random forest method identified as the most optimal approach for detecting ground clutter in Padang weather radar data. |
| format | Article |
| id | doaj-art-2b6844a48a344823bec2a72fc843b1d3 |
| institution | OA Journals |
| issn | 2541-3384 2541-3392 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Universitas Negeri Jakarta |
| record_format | Article |
| series | Spektra: Jurnal Fisika dan Aplikasinya |
| spelling | doaj-art-2b6844a48a344823bec2a72fc843b1d32025-08-20T02:01:33ZengUniversitas Negeri JakartaSpektra: Jurnal Fisika dan Aplikasinya2541-33842541-33922023-12-018316717410.21009/SPEKTRA.083.0534721IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATAWildan Nurahman0Abdullah Ali1Riser Fahdiran2Department of Physics, State University of Jakarta Jl. Rawamangun Muka, Jakarta 13220, IndonesiaRemote Sensing Data Management Division, Indonesia Agency for Meteorology and Geophysics Jl. Angkasa 1, Jakarta 10720, IndonesiaDepartment of Physics, State University of Jakarta Jl. Rawamangun Muka, Jakarta 13220, IndonesiaWeather radar is an active remote sensing instrument for various hydrological and meteorological applications. One advantage of weather radar is its ability to detect rainfall in space and time with high spatial resolution. However, one of the issues that contaminate radar observations is ground clutter. Ground clutter is a signal or echo from non-meteorological objects on the earth’s surface that are stationary in the time domain. Detecting and mitigating clutter effects is crucial to achieve precise weather measurements. This research aims to implement the Gabella and random forest methods to detect ground clutter in Padang weather radar data and determine the optimal method between the two. The implementation of the Gabella method for detecting ground clutter in Padang weather radar data was suboptimal. This was due to the most duplicated data at the same point being only 15.97% of the total data. Meanwhile the random forest method obtained a kappa value of 92.03%. This indicates that the random forest model created using 2000 trees as the parameter performs well. Based on these results, the random forest method identified as the most optimal approach for detecting ground clutter in Padang weather radar data.https://journal.unj.ac.id/unj/index.php/spektra/article/view/42609gabella methodground clutter detectionrandom forestweather radar |
| spellingShingle | Wildan Nurahman Abdullah Ali Riser Fahdiran IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA Spektra: Jurnal Fisika dan Aplikasinya gabella method ground clutter detection random forest weather radar |
| title | IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA |
| title_full | IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA |
| title_fullStr | IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA |
| title_full_unstemmed | IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA |
| title_short | IMPLEMENTATION OF GABELLA METHOD AND RANDOM FOREST FOR GROUND CLUTTER DETECTION IN PADANG WEATHER RADAR DATA |
| title_sort | implementation of gabella method and random forest for ground clutter detection in padang weather radar data |
| topic | gabella method ground clutter detection random forest weather radar |
| url | https://journal.unj.ac.id/unj/index.php/spektra/article/view/42609 |
| work_keys_str_mv | AT wildannurahman implementationofgabellamethodandrandomforestforgroundclutterdetectioninpadangweatherradardata AT abdullahali implementationofgabellamethodandrandomforestforgroundclutterdetectioninpadangweatherradardata AT riserfahdiran implementationofgabellamethodandrandomforestforgroundclutterdetectioninpadangweatherradardata |