Remote sensing of chlorophyll-a in coastal waters based on the light absorption coefficient of phytoplankton

• Published in: Remote sensing of environment Vol. 201; pp. 331 - 341
• Main Authors: Zheng, Guangming, DiGiacomo, Paul M.
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.11.2017; Elsevier BV
• Subjects: Absorption; Absorptivity; Algorithms; Atmospheric correction; Atmospheric models; Chesapeake Bay; Chlorophyll; Coastal environments; coastal water; Coastal waters; Coefficients; Constraint modelling; Data reduction; Decomposing organic matter; Detection; Electromagnetic absorption; Humus; Light absorption; Light absorption coefficient; Minerals; Partitioning; Phytoplankton; Plankton; Reflectance; Remote sensing; Satellites; Stacked-constraints approach; Turbid coastal water; Chesapeake Bay; Turbid coastal water; Chlorophyll; Partitioning; Light absorption coefficient; Stacked-constraints approach

Remote sensing of chlorophyll-a concentration, [Chl-a], has been difficult in coastal waters like the Chesapeake Bay owing largely to terrestrial substances (such as minerals and humus) that are optically significant but do not covary with phytoplankton. Here we revisit the semi-analytical pathway o...