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Study on the Method of Sea Surface Chlorophyll-a Measurements Base-on Sentinel-3 Satellite Imagery in Coastal Areas of Trat Province |
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| รหัสดีโอไอ | |
| Creator | Patrawut Thaipichitburapha |
| Title | Study on the Method of Sea Surface Chlorophyll-a Measurements Base-on Sentinel-3 Satellite Imagery in Coastal Areas of Trat Province |
| Contributor | Anukul Buranapratheprat,Vichaya Gunbua,Thanapon Chaipiputnakhajorn,Napittha Kingkeaw,Prasarn Intacharoen |
| Publisher | School of Information and Communication Technology, University of Phayao |
| Publication Year | 2567 |
| Journal Title | The Journal of Spatial Innovation Development |
| Journal Vol. | 5 |
| Journal No. | 2 |
| Page no. | 65-79 |
| Keyword | Chlorophyll-a, Sentinel-3, Algorithm, Coastal, Trat Province |
| URL Website | https://ph01.tci-thaijo.org/index.php/jsid/index |
| Website title | The Journal of Spatial Innovation Development |
| ISSN | 2730-1494 |
| Abstract | This research objective was studied on the method for measuring the amount of chlorophyll-a at the sea surface in coastal areas of Trat Province by using satellite image data. By using the reflectance properties measured by satellite sensors, which was analyzed together with data from in situ to create an algorithm that can be used to measure chlorophyll-a values. The useful in measuring of chlorophyll-a values which an appropriate method to obtain accurate and fast information and was obtained the spatial information in a wide area. This allows the results to be used to plan for further coastal management. Three cruise field data set were investigated from the south along coast of Trat province. Forty-five data sets were collected, including data from November 2020, January 2021, and March 2022. It was found that the average values were 0.65+0.38, 0.74+0.18, and 1.05+0.10 micrograms per liter, respectively. Then, input sea surface chlorophyll-a to three candidate algorithms were analyzed based on reflectance of Sentinel-3 satellite imageries which was calculated of radiance to reflectance. Correcting atmospheric distortion was used to develop the best algorithm derived from satellite data. The results showed that the OC3M algorithm gave the highest correlation value (R2=0.77) and was suitable for usein estimating chlorophyll-a values in the coastal area of Trat Province. In addition, the results were comparedthe relationship of the amount of chlorophyll-a which measured in the field with OC3M and NN algorithm from the Sentinel-3 satellite. It was found that the correlation coefficient (R=0.68) was not different. Therefore, it can be concluded that the NN algorithm from the Sentinel-3 satellite can be used to estimate sea surface chlorophyll-a values in the coastal area of Trat Province without having to analyze it through various algorithmic processes. |
