Journal
REMOTE SENSING
Volume 6, Issue 9, Pages 8524-8540Publisher
MDPI
DOI: 10.3390/rs6098524
Keywords
ocean color; phytoplankton; chlorophyll; California Current; remote sensing
Categories
Funding
- NASA Ocean Biology and Biogeochemistry Program [NNX09AT01G, NNX13AL28G, NNX14AC42G]
- National Science Foundation [OCE-1026607]
- University of California Institute for Mexico and the United States (UC MEXUS)
- Consejo Nacional de Ciencia y Tecnologia, Mexico (CONACYT)
- Division Of Ocean Sciences
- Directorate For Geosciences [1026607] Funding Source: National Science Foundation
- NASA [470051, NNX14AC42G, 686398, NNX09AT01G, 108085, NNX13AL28G] Funding Source: Federal RePORTER
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Retrievals of ocean surface chlorophyll-a concentration (Chla) by multiple ocean color satellite sensors (SeaWiFS, MODIS-Terra, MODIS-Aqua, MERIS, VIIRS) using standard algorithms were evaluated in the California Current using a large archive of in situ measurements. Over the full range of in situ Chla, all sensors produced a coefficient of determination (R-2) between 0.79 and 0.88 and a median absolute percent error (MdAPE) between 21% and 27%. However, at in situ Chla > 1 mg m(-3), only products from MERIS (both the ESA produced algal_1 and NASA produced chlor_a) maintained reasonable accuracy (R-2 from 0.74 to 0.52 and MdAPE from 23% to 31%, respectively), while the other sensors had R-2 below 0.5 and MdAPE higher than 36%. We show that the low accuracy at medium and high Chla is caused by the poor retrieval of remote sensing reflectance.
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