H
Heidi M. Dierssen
Researcher at University of Connecticut
Publications - 104
Citations - 4876
Heidi M. Dierssen is an academic researcher from University of Connecticut. The author has contributed to research in topics: Ocean color & Colored dissolved organic matter. The author has an hindex of 36, co-authored 98 publications receiving 3996 citations. Previous affiliations of Heidi M. Dierssen include University of California, Santa Barbara & Moss Landing Marine Laboratories.
Papers
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Journal ArticleDOI
Retrieving Aerosol Characteristics from the Pace Mission, Part 1: Ocean Color Instrument
Lorraine A. Remer,Anthony B. Davis,Shana Mattoo,Robert C. Levy,Olga V. Kalashnikova,Odele Coddington,Jacek Chowdhary,Kirk Knobelspiesse,Xiaoguang Xu,Ziauddin Ahmad,Emmanuel Boss,Brian Cairns,Heidi M. Dierssen,David J. Diner,Bryan A. Franz,Robert Frouin,Bo Cai Gao,Amir Ibrahim,J. Vanderlei Martins,Ali Omar,Omar Torres,Feng Xu,Peng-Wang Zhai +22 more
TL;DR: The Ocean Color Instrument (OCI) as mentioned in this paper was designed for ocean color and ocean biology retrievals and enabled continuation of heritage satellite aerosol products and the development of new aerosol characterization from space.
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Hyperspectral ultraviolet to shortwave infrared characteristics of marine-harvested, washed-ashore and virgin plastics
TL;DR: In this paper, the authors presented a dataset of Lambertian-equivalent spectralreflectance measurements from the ultraviolet (UV, 350 nm) to shortwave infrared (SWIR, 2500 nm) of synthetic hydrocarbons (plastics).
Journal ArticleDOI
Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook
Heidi M. Dierssen,Steven G. Ackleson,Karen E. Joyce,Erin L. Hestir,Alexandre Castagna,Samantha Lavender,Margaret A. McManus +6 more
TL;DR: In this article, the authors highlight recent advances in sensor design, modes of deployment, and image analysis techniques that are becoming more widely available to environmental researchers and resource managers alike, as well as future missions and advances in drone technology and autonomous in-water survey methods.
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Remote Sensing of Seagrass Leaf Area Index and Species: The Capability of a Model Inversion Method Assessed by Sensitivity Analysis and Hyperspectral Data of Florida Bay
John Hedley,Brandon J. Russell,Kaylan Randolph,Miguel Ángel Pérez-Castro,Román Manuel Vásquez-Elizondo,Susana Enríquez,Heidi M. Dierssen +6 more
TL;DR: In this paper, the capability for mapping two species of seagrass, Thalassia testudinium and Syringodium filiforme, by remote sensing using a physics-based model inversion method was investigated.
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Hyperspectral Measurements, Parameterizations, and Atmospheric Correction of Whitecaps and Foam From Visible to Shortwave Infrared for Ocean Color Remote Sensing
TL;DR: In this article, hyperspectral reflectance measurements of whitecaps from 400-2500 nm were taken in Long Island Sound, USA of natural and manufactured breaking waves to explore new methods to estimate whitecap contributions to ocean color imagery.