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A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product by Timothy S. Moore; Janet W. Campbell; Mark D. Dowell is a Environmental Science article available to read on EtoBox.

What is A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product about?

Global chlorophyll products derived from NASA's ocean color satellite programs have a nominal uncertainty of ± 35%. This metric has been hard to assess, in part because the data sets for evaluating performance do not reflect the true distribution of chlorophyll in the global ocean. A new technique is introduced that characterizes the chlorophyll uncertainty associated with distinct optical water types, and shows that for much of the open ocean the relative error is under 35%. This technique is based on a fuzzy classification of remote sensing reflectance into eight optical water types for which error statistics have been calculated. The error statistics are based on a data set of coincident MODIS Aqua satellite radiances and in situ chlorophyll measurements. The chlorophyll uncertainty is then mapped dynamically based on fuzzy memberships to the optical water types. The uncertainty maps are thus a separate, companion product to the standard MODIS chlorophyll product.

Who reads A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product?

Author

Timothy S. Moore; Janet W. Campbell; Mark D. Dowell

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0034-4257)

Published

2009

Language

EN

Field

Environmental Science (Physical Sciences)