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Remote Sens. 2017, 9(10), 1063; doi:10.3390/rs9101063

Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data

1
Spectral and Remote Sensing Laboratory, University of Victoria, 3800 Finnerty Rd., Victoria, BC V8P 5C2, Canada
2
Komick Research, 3251 Upland Dr, Nanaimo, BC V9T 2T2, Canada
3
Fisheries and Oceans Canada, Institute of Ocean Sciences, 9860 West Saanich Road, Sidney, BC V8L 4B2, Canada
4
Pacific Biological Station Fisheries and Oceans Canada, 3190 Hammond Bay Road, Nanaimo, BC V9T 6N7, Canada
*
Authors to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 9 September 2017 / Accepted: 8 October 2017 / Published: 19 October 2017
(This article belongs to the Special Issue Remote Sensing of Water Quality)
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Abstract

There is an increasing need for satellite-derived accurate chlorophyll-a concentration (chla) products to improve fisheries management in coastal regions. However, the methods used to derive these products have to be evaluated, so the associated uncertainties are known. The performance of three atmospheric correction methods, the near infrared (NIR), the shortwave infrared (SWIR), and the Management Unit of the North Seas Mathematical Models with an additional modification (MUMM + SWIR), and derived chla products based on the Moderate Resolution Imaging Spectroradiometer AQUA (MODIS) images acquired from 2002 to 2014 over the west coast of Canada and the United States were evaluated. The atmospherically corrected products and above-water reflectance were compared with in situ AERONET (N ~ 650) and above-water reflectance (N ~ 34) data, and the Ocean Color 3 MODIS (OC3M)-derived chla were compared with in situ chla measurements (N ~ 82). The statistical analysis indicated that the MUMM + SWIR method was the most appropriate for this region, with relatively good retrievals of the atmospheric products, improved retrieval of remote sensing reflectance with bias lower than 20% for the OC3M bands, and improved retrievals of chla (r = 0.83, slope = 0.89, logRMSE = 0.33 mg m−3 for ±1 h). The poorest chla retrievals were achieved with the SWIR and NIR methods. These results represent the most comprehensive satellite data analysis of MODIS retrievals for this region and provide a framework for the MUMM + SWIR method that can be further tested in other coastal regions of the world. View Full-Text
Keywords: ocean colour; MODIS; coastal waters; chlorophyll-a; atmospheric correction; west coast of North America ocean colour; MODIS; coastal waters; chlorophyll-a; atmospheric correction; west coast of North America
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Carswell, T.; Costa, M.; Young, E.; Komick, N.; Gower, J.; Sweeting, R. Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data. Remote Sens. 2017, 9, 1063.

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