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An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation

期刊

REMOTE SENSING OF ENVIRONMENT
卷 98, 期 1, 页码 122-140

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2005.07.001

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ocean color; satellite validation; algorithm development; SeaBASS; SeaWiFS; MODIS; bio-optics; remote sensing; water-leaving radiance; chlorophyll

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Global satellite ocean color instruments provide the scientific community a high-resolution means of studying the marine biosphere. Satellite data product validation and algorithm development activities both require the substantial accumulation of high-quality in-situ observations. The NASA Ocean Biology Processing Group maintains a local repository of in-situ marine bio-optical data, the SeaWiFS Biooptical Archive and Storage System (SeaBASS), to facilitate their ocean color satellite validation analyses. Data were acquired from SeaBASS and used to compile a large set of coincident radiometric observations and phytoplankton pigment concentrations for use in biooptical algorithm development. This new data set, the NASA bio-Optical Marine Algorithm Data set (NOMAD), includes over 3400 stations of spectral water-leaving radiances, surface irradiances, and diffuse downwelling attenuation coefficients, encompassing chlorophyll a concentrations ranging from 0.012 to 72.12 mg m(-3). Metadata, such as the date, time, and location of data collection, and ancillary data, including sea surface temperatures and water depths, accompany each record. This paper describes the assembly and evaluation of NOMAD, and further illustrates the broad geophysical range of stations incorporated into NOMAD. (C) 2005 Elsevier Inc. All rights reserved.

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