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

Abstract

We propose to develop and validate an integrated adaptive sampling and modeling system for nowcasting and forecasting the 3-dimensional inherent optical properties (IOPs) off of the New Jersey coast. This will be accomplished by developing an integrated observation network that will provide real-time data to allow for adaptive sampling in near-shore coastal waters. This data will also be used to develop hyperspectral remote sensing techniques for optically complex coastal waters. In addition, it will be used to provide the physical, chemical, biological, and optical data necessary to develop coupled data assimilative hydrodynamic ecosystem models.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA619288

Entities

People

  • William Paul Bissett

Organizations

  • Florida Environmental Research Institute

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Cell Size
  • Chlorophylls
  • Data Sets
  • Deep Water
  • Delphi Method
  • Optical Properties
  • Particles
  • Reflectance
  • Refractive Index
  • Remote Sensing
  • Sampling
  • Scattering
  • Shallow Water
  • Surface Waters
  • Three Dimensional
  • Water

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography