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 coupled to a data assimilative hydrodynamic bio-optical ecosystem model. The system will be used to develop hyperspectral remote sensing techniques for optically complex nearshore coastal waters in support of the development and validation of the Navy Earth Map Observer (NEMO) satellite system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2001
- Accession Number
- ADA624963
Entities
People
- Dale Haidvogel
- Frederick Grassle
- Oscar Schofield
- Scott Glenn
Organizations
- Rutgers University–New Brunswick