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

Abstract

We are developing and validating an integrated rapid environmental assessment capability that will be used to feed a developing nowcast/forecast system. The focus of the rapid environmental assessment is characterizing the 3-dimensional evolution of inherent optical properties (IOPs) in nearshore coastal waters. This is being 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 physical/optical data for coupled data assimilative hydrodynamic ecosystem models currently under development. This will support the development and validation infrastructure for the Navy Earth Map Observer (NEMO) satellite system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA624999

Entities

People

  • Mark A. Moline

Organizations

  • California Polytechnic State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Absorption
  • Aircrafts
  • Artificial Satellites
  • Biological Sciences
  • Biology
  • Delphi Method
  • Ecosystems
  • Environment
  • Environmental Assessment
  • Naval Operations
  • Observation
  • Observers
  • Optical Properties
  • Remote Sensing
  • Sampling
  • Scattering
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space