Jumbo Content

People

David Siegel
David Siegel
Email | Website
Department of Geography, UC Santa Barbara

ROSES Proposal

Development of Robust Spectral Derivative Algorithms for Phytoplankton Pigment Concentrations on Local to Global Scales (2020)
Co-I: Stéphane Maritorena, University of California Santa Barbara

Science Meeting Presentations (4)

Phytoplankton Pigments from Hyperspectral Rrs: The Spectral Derivatives Pigment (SDP) Model for PACE
Siegel, D., Maritorena, S., and Kramer, S. (20-Feb-25)
Development of Robust Spectral Derivative Algorithms for Phytoplankton Pigment Concentrations on Local to Global Scales
Siegel, D. (27-Feb-23). Click here to view this presentation with audio.
Development of Robust Spectral Derivative Algorithms for Phytoplankton Pigment Concentrations on Local to Global Scales
Siegel, D. (06-Oct-21). View the file that accompanies this presentation.
Development of Robust Spectral Derivative Algorithms for Phytoplankton Pigment Concentrations on Local to Global Scales
Siegel, D. and Maritorena, S. (03-Jun-20)