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

Abstract

We are developing an integrated rapid environmental assessment capability that will be used to feed an ocean nowcast/forecast system. The goal is to develop a capacity for predicting the dynamics in inherent optical properties in coastal waters. This is being accomplished by developing an integrated observation system that is being coupled to a data assimilative hydrodynamic bio-optical ecosystem model. The system was used adaptively to calibrate hyperspectral remote sensing sensors in optically complex nearshore coastal waters.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2003
Accession Number
ADA619157

Entities

People

  • Mark A. Moline
  • Oscar Schofield
  • Paul Bissett
  • Scott Glenn

Organizations

  • Rutgers University–New Brunswick

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Absorption
  • Aircrafts
  • Chemistry
  • Delphi Method
  • Detectors
  • Dynamics
  • Ecosystems
  • Environmental Assessment
  • Measurement
  • Naval Operations
  • New Jersey
  • Observation
  • Oceanography
  • Optical Properties
  • Remote Sensing
  • Sampling
  • Water Masses

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Distributed Systems and Data Platform Development