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http://dx.doi.org/10.7780/kjrs.2022.38.5.1.14

Validation of GOCI-II Products in an Inner Bay through Synchronous Usage of UAV and Ship-based Measurements  

Baek, Seungil (Department of Civil and Environmental Engineering, Pusan National University)
Koh, Sooyoon (Department of Civil and Environmental Engineering, Pusan National University)
Lim, Taehong (Department of Civil and Environmental Engineering, Pusan National University)
Jeon, Gi-Seong (Department of Civil and Environmental Engineering, Pusan National University)
Do, Youngju (Department of Civil Engineering, Pusan National University)
Jeong, Yujin (Department of Civil Engineering, Pusan National University)
Park, Sohyeon (Department of Civil Engineering, Pusan National University)
Lee, Yongtak (Department of Civil Engineering, Pusan National University)
Kim, Wonkook (Department of Civil and Environmental Engineering, Pusan National University)
Publication Information
Korean Journal of Remote Sensing / v.38, no.5_1, 2022 , pp. 609-625 More about this Journal
Abstract
Validation of satellite data products is critical for subsequent analysis that is based on the data. Particularly, performance of ocean color products in turbid and shallow near-land ocean areas has been questioned for long time for its difficulty that stems from the complex optical environment with varying distribution of water constituents. Furthermore, validation with ship-based or station-based measurements has also exhibited clear limitation in its spatial scale that is not compatible with that of satellite data. This study firstly performed validation of major GOCI-II products such as remote sensing reflectance, chlorophyll-a concentration, suspended particulate matter, and colored dissolved organic matter, using the in-situ measurements collected from ship-based field campaign. Secondly, this study also presents preliminary analysis on the use of drone images for product validation. Multispectral images were acquired from a MicaSense RedEdge camera onboard a UAV to compensate for the significant scale difference between the ship-based measurements and the satellite data. Variation of water radiance in terms of camera altitude was analyzed for future application of drone images for validation. Validation conducted with a limited number of samples showed that GOCI-II remote sensing reflectance at 555 nm is overestimated more than 30%, and chlorophyll-a and colored dissolved organic matter products exhibited little correlation with in-situ measurements. Suspended particulate matter showed moderate correlation with in-situ measurements (R2~0.6), with approximately 20% uncertainty.
Keywords
GOCI-II; Validation; Drone; Remote sensing reflectance; Turbid water;
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