دورية أكاديمية
Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan
| العنوان: | Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan |
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| المؤلفون: | Meng Meng Yang, Joji Ishizaka, Joaquim I. Goes, Helga do R. Gomes, Elígio de Raús Maúre, Masataka Hayashi, Toshiya Katano, Naoki Fujii, Katsuya Saitoh, Takayuki Mine, Hirokazu Yamashita, Akiko Mizuno |
| المصدر: | Remote Sensing, Vol 10, Iss 9, p 1335 (2018) |
| بيانات النشر: | MDPI AG, 2018. |
| سنة النشر: | 2018 |
| المجموعة: | LCC:Science |
| مصطلحات موضوعية: | turbid water, Ariake Bay, MODIS Chl-a, light absorption, switching in-water algorithm, atmospheric correction, Science |
| الوصف: | The accurate retrieval of chlorophyll-a concentration (Chl-a) from ocean color satellite data is extremely challenging in turbid, optically complex coastal waters. Ariake Bay in Japan is a turbid semi-enclosed bay of great socio-economic significance, but it suffers from serious water quality problems, particularly due to red tide events. Chl-a derived from the MODerate resolution Imaging Spectroradiometer (MODIS) sensor on satellite Aqua in Ariake Bay was investigated, and it was determined that the causes of the errors were from inaccurate atmospheric correction and inappropriate in-water algorithms. To improve the accuracy of MODIS remote sensing reflectance (Rrs) in the blue and green bands, a simple method was adopted using in situ Rrs data. This method assumes that the error in MODIS Rrs(547) is small, and MODIS Rrs(412) can be estimated from MODIS Rrs(547) using a linear relation between in situ Rrs(412) and Rrs(547). We also showed that the standard MODIS Chl-a algorithm, OC3M, underestimated Chl-a, which was mostly due to water column turbidity. A new empirical switching algorithm was generated based on the relationship between in situ Chl-a and the blue-to-green band ratio, max(Rrs(443), Rrs(448)/Rrs(547), which was the same as the OC3M algorithm. The criterion of Rrs(667) of 0.005 sr−1 was used to evaluate the extent of turbidity for the switching algorithm. The results showed that the switching algorithm performed better than OC3M, and the root mean square error (RMSE) of estimated Chl-a decreased from 0.414 to 0.326. The RMSE for MODIS Chl-a using the recalculated Rrs and the switching algorithm was 0.287, which was a significant improvement from the RMSE of 0.610, which was obtained using standard MODIS Chl-a. Finally, the accuracy of our method was tested with an independent dataset collected by the local Fisheries Research Institute, and the results revealed that the switching algorithm with the recalculated Rrs reduced the RMSE of MODIS Chl-a from 0.412 of the standard to 0.335. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2072-4292 10091335 |
| Relation: | http://www.mdpi.com/2072-4292/10/9/1335; https://doaj.org/toc/2072-4292 |
| DOI: | 10.3390/rs10091335 |
| URL الوصول: | https://doaj.org/article/48b52e7263984ae48ad7a34cc969fd0d |
| رقم الأكسشن: | edsdoj.48b52e7263984ae48ad7a34cc969fd0d |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20724292 10091335 |
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| DOI: | 10.3390/rs10091335 |