Ocean Optical Profiling in South China Sea Using Airborne LiDAR
Increasingly, LiDAR has more and more applications. However, so far, there are no relevant publications on using airborne LiDAR for ocean optical profiling in the South China Sea (SCS). The applicability of airborne LiDAR for optical profiling in the SCS will be presented. A total of four airborne L...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/11/15/1826 |
| _version_ | 1819110714926694400 |
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| author | Peng Chen Delu Pan |
| author_facet | Peng Chen Delu Pan |
| author_sort | Peng Chen |
| collection | DOAJ |
| description | Increasingly, LiDAR has more and more applications. However, so far, there are no relevant publications on using airborne LiDAR for ocean optical profiling in the South China Sea (SCS). The applicability of airborne LiDAR for optical profiling in the SCS will be presented. A total of four airborne LiDAR flight experiments were conducted over autumn 2017 and spring 2018 in the SCS. A hybrid retrieval method will be presented here, which incorporates a Klett method to obtain LiDAR attenuation coefficient and a perturbation retrieval method for a volume scattering function at 180°. The correlation coefficient between the LiDAR-derived results and the traditional measurements was 0.7. The mean absolute relative error (MAE) and the normalized root mean square deviation (NRMSD) between the two are both between 10% and 12%. Subsequently, the vertical structure of the LiDAR-retrieved attenuation and backscattering along airborne LiDAR flight tracks was mapped. In addition to this, ocean subsurface phytoplankton layers were detected between 10 to 20 m depths along the flight track in Sanya Bay. Primary results demonstrated that our airborne LiDAR has an independent ability to survey and characterize ocean optical structure. |
| first_indexed | 2024-12-22T03:46:07Z |
| format | Article |
| id | doaj.art-115f96a3199c441b9ee99362b36e5e59 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-22T03:46:07Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-115f96a3199c441b9ee99362b36e5e592022-12-21T18:40:07ZengMDPI AGRemote Sensing2072-42922019-08-011115182610.3390/rs11151826rs11151826Ocean Optical Profiling in South China Sea Using Airborne LiDARPeng Chen0Delu Pan1State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Bochubeilu, Hangzhou 310012, ChinaState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Bochubeilu, Hangzhou 310012, ChinaIncreasingly, LiDAR has more and more applications. However, so far, there are no relevant publications on using airborne LiDAR for ocean optical profiling in the South China Sea (SCS). The applicability of airborne LiDAR for optical profiling in the SCS will be presented. A total of four airborne LiDAR flight experiments were conducted over autumn 2017 and spring 2018 in the SCS. A hybrid retrieval method will be presented here, which incorporates a Klett method to obtain LiDAR attenuation coefficient and a perturbation retrieval method for a volume scattering function at 180°. The correlation coefficient between the LiDAR-derived results and the traditional measurements was 0.7. The mean absolute relative error (MAE) and the normalized root mean square deviation (NRMSD) between the two are both between 10% and 12%. Subsequently, the vertical structure of the LiDAR-retrieved attenuation and backscattering along airborne LiDAR flight tracks was mapped. In addition to this, ocean subsurface phytoplankton layers were detected between 10 to 20 m depths along the flight track in Sanya Bay. Primary results demonstrated that our airborne LiDAR has an independent ability to survey and characterize ocean optical structure.https://www.mdpi.com/2072-4292/11/15/1826LiDARoptical property profilesattenuation coefficientbackscatteringbio-optical modelhybrid method |
| spellingShingle | Peng Chen Delu Pan Ocean Optical Profiling in South China Sea Using Airborne LiDAR Remote Sensing LiDAR optical property profiles attenuation coefficient backscattering bio-optical model hybrid method |
| title | Ocean Optical Profiling in South China Sea Using Airborne LiDAR |
| title_full | Ocean Optical Profiling in South China Sea Using Airborne LiDAR |
| title_fullStr | Ocean Optical Profiling in South China Sea Using Airborne LiDAR |
| title_full_unstemmed | Ocean Optical Profiling in South China Sea Using Airborne LiDAR |
| title_short | Ocean Optical Profiling in South China Sea Using Airborne LiDAR |
| title_sort | ocean optical profiling in south china sea using airborne lidar |
| topic | LiDAR optical property profiles attenuation coefficient backscattering bio-optical model hybrid method |
| url | https://www.mdpi.com/2072-4292/11/15/1826 |
| work_keys_str_mv | AT pengchen oceanopticalprofilinginsouthchinaseausingairbornelidar AT delupan oceanopticalprofilinginsouthchinaseausingairbornelidar |