K
Kendall L. Carder
Researcher at University of South Florida
Publications - 165
Citations - 16377
Kendall L. Carder is an academic researcher from University of South Florida. The author has contributed to research in topics: Ocean color & Radiance. The author has an hindex of 53, co-authored 165 publications receiving 15347 citations. Previous affiliations of Kendall L. Carder include University of South Florida St. Petersburg & SRI International.
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Journal ArticleDOI
Ocean Color Chlorophyll Algorithms for SEAWIFS
John E. O'Reilly,Stéphane Maritorena,B. Greg Mitchell,David A. Siegel,Kendall L. Carder,Sara A. Garver,Mati Kahru,Charles R. McClain +7 more
TL;DR: In this article, a large data set containing coincident in situ chlorophyll and remote sensing reflectance measurements was used to evaluate the accuracy, precision, and suitability of a wide variety of ocean color algorithms for use by SeaWiFS (Sea-viewing Wide Field-of-view Sensor).
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Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters
TL;DR: For open ocean and coastal waters, a multiband quasi-analytical algorithm is developed to retrieve absorption and backscattering coefficients, as well as absorption coefficients of phytoplankton pigments and gelbstoff, based on remote-sensing reflectance models derived from the radiative transfer equation.
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Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization
TL;DR: The results suggest that the model and method used in this study, which do not require in situ calibration measurements, perform very well in retrieving in-water optical properties and bottom depths from above-surface hyperspectral measurements.
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Marine humic and fulvic acids: Their effects on remote sensing of ocean chlorophyll
TL;DR: Marine humic and fulvic acids were concentrated from about 1,400 liters of seawater from the Gulf of Mexico, and specific absorption coefficients were measured for each from 240 to 675 nm.
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Semianalytic Moderate‐Resolution Imaging Spectrometer algorithms for chlorophyll a and absorption with bio‐optical domains based on nitrate‐depletion temperatures
TL;DR: In this article, a semi-alytical, bio-optical model of remote sensing reflectance, Rrs(λ), was proposed for extracting chlorophyll concentration and phytoplankton and gelbstoff absorption coefficients from MODIS data.