Introducing Two Fixed Platforms in the Yellow Sea and East China Sea Supporting Long-Term Satellite Ocean Color Validation: Preliminary Data and Results

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 12; p. 2894
• Main Authors: Song, Qingjun, Chen, Shuguo, Hu, Lianbo, Wang, Xi, Shi, Xinhao, Li, Xueyin, Deng, Linke, Ma, Chaofei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2022
• Subjects: AERONET-OC; aerosol optical thickness; Aerosol Robotic Network; Aerosols; Aquatic environment; Atmospheric correction; Atmospheric models; Coasts; Color; Data processing; Evaluation; In situ measurement; Ocean color; Offshore platforms; Optical analysis; Optical properties; Optical thickness; Processors; Radiometers; Remote sensing; remote sensing reflectance; Satellites; Sensors; Short wave radiation; Site selection; Water measurement; Wind; East China Sea; United States > US; Yellow Sea; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14122894

Following the Aerosol Robotic Network-Ocean Color (AERONET-OC) network scheme and instrument deployment protocols, two fixed platforms (Muping and Dong’ou) in the Yellow Sea and East China Sea were implemented with the support of the China National Satellite Ocean Application Service. Optical radiometry instruments were established at the two sites to autonomously determine remote sensing reflectance (Rrs) and aerosol optical depth (AOD). Details about location selection, platform design, instrument deployment, and the associated data processing procedure are reported in this study. Rrs and AOD measured by independent instruments at the Muping site were compared and results showed that they were consistent, with a median relative percentage difference (MRPD) < 0.6% for AOD and <10% for Rrs. The spectral feature and temporal pattern of Rrs and AOD at the two sites were examined and compared with data from 14 AERONET-OC sites. Rrs and AOD data measured at the two sites were used to evaluate ocean color operational products of MODIS/Aqua (MODISA), OLCI/Sentinel-3A (OLCI-3A), and OLCI/Sentinel-3B (OLCI-3B). Comparison showed that the three satellite sensor-derived Rrs agreed well with in situ measurements, with an MRPD < 25% for MODISA, <30% for OLCI-3A, and <40% for OLCI-3B, respectively. Large uncertainties were observed in the blue bands for the three satellite sensors, particularly for OLCI-3B at 400 nm. AOD at 865 nm derived from the three satellite sensors also agreed well with in situ measurements, with an MRPD of 28.1% for MODISA, 30.6% for OLCI-3A, and 39.9% for OLCI-3B. Two commonly used atmospheric correction (AC) processors, the ACOLITE and SeaDAS, were also evaluated using in situ measurements at two sites and 20 m-resolution MSI/Sentinel-2A data. Close agreements were achieved for both AC processors, while the SeaDAS performed slightly better than ACOLITE. The optimal band selection in the AC models embedded in two AC processors was a combination of one near-infrared and one short-wave infrared band such as 865 and 1609 nm, shedding light on MSI data applications in the aquatic environment.