Hyperspectral Remote Sensing of the Coastal Ocean: Adaptive Sampling and Forecasting of Nearshore In Situ Optical Properties

Abstract

In collaboration with Institute of Marine and Coastal Sciences faculty at Rutgers University, we propose to develop and validate an integrated adaptive sampling and modeling system for nowcasting and forecasting the 3-dimensional evolution of inherent optical properties (IOPs) in coastal waters. This will be accomplished by developing an integrated observation network providing real-time data allowing for adaptive sampling in nearshore coastal waters. The data will also be used to develop hyperspectral remote sensing techniques for optically complex coastal waters while also providing biological/optical data for coupled data assimilative hydrodynamic ecosystem models currently under development.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA629588

Entities

People

  • Mark A. Moline

Organizations

  • California Polytechnic State University

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Absorption
  • Absorption Spectra
  • Abstracts
  • Biological Sciences
  • Data Sets
  • Delphi Method
  • Ecosystems
  • Materials
  • Observation
  • Optical Properties
  • Optics
  • Particles
  • Radiative Transfer
  • Radiometry
  • Remote Sensing
  • Sampling
  • Spectra

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Research Science/Academic Research