Reflectance from a Sinusoidal Bottom and Discrimination of Water Types with Hyperspectral Data
Abstract
The availability of hyperspectral imagery raises the possibility of expanding the range and specificity of components that might be identified, and of delineating simple vertical structure. This is particularly important in the coastal zone where terrigenous sources of chromophoric dissolved organic material (CDOM) and inorganic particulates seriously complicate the retrieval of information from remote signals. Our long-term goal is the development of a set of spectral analysis tools that fully exploit the information content in hyperspectral image data, particularly as it applies to remote sensing of ocean color and the extraction of bathymetry, water quality and bottom type information.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2003
- Accession Number
- ADA628591
Entities
People
- William Philpot
Organizations
- Cornell University