Assessment of three algorithms for the operational estimation of [CHL] from MODIS data in the Western Mediterranean Sea

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Abstract

Three algorithms based on MODIS imagery were evaluated for the estimation of Chlorophyll-a concentration ([CHL]) in the Western Mediterranean Sea. The first algorithm (OC3M) is usually applied at global scale, while the second (MedOC3), has been used in the Mediterranean basin. The third algorithm (SAM_LT), specifically developed for the Ligurian and North Tyrrhenian Seas, is here described and applied, in its updated version. The three algorithms were assessed through comparison with 240 sea [CHL] samples collected during the 2002-2011 decade. The results obtained show that OC3M is the most accurate algorithm when used for the entire Western Mediterranean, but is outperformed by SAM_LT in the area where this was originally developed. The impact of different MODIS quality flags on the three algorithms has been finally evaluated, providing guidelines for their operational application in the study area.

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Pieri, M., Massi, L., Lazzara, L., Nuccio, C., Lapucci, C., & Maselli, F. (2015). Assessment of three algorithms for the operational estimation of [CHL] from MODIS data in the Western Mediterranean Sea. European Journal of Remote Sensing, 48, 383–401. https://doi.org/10.5721/EuJRS20154822

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