Properties of Shallow Water Environments Retrieved from Hyper- and Multi-Spectral Space-borne Sensors
Abstract
There are two imagers on NASA's EO-1 satellite: Hyperion and Advanced Land Imager (ALI). Hyperion is a hyperspectral sensor with about 45 bands covering the spectral range of 430-900 nm, while ALI has only six (wide width) bands for the same range. Past studies have shown that data from both kinds of sensors can provide observations of important environmental properties, such as bathymetry and water turbidity. However, in the derivation of bathymetry using data from multi-band sensors (e.g., LANDSAT), usually bathymetry data at a few locations are required to be known first. Recently, a semi-analytical spectral optimization algorithm has been developed for remote-sensing of shallow-water environments. Using data from hyperspectral airborne and space-borne sensors, it has been demonstrated that bathymetry of optically shallow waters can be derived without a priori knowledge of depths at a few locations, and properties of water column and bottom can be retrieved simultaneously from remotely sensed data. In this study, the authors extend the optimization approach to ALI data with retrieved water and bottom properties compared with that from Hyperion data. From these results, they discuss the advantages/disadvantages of Hyperion and ALI sensors, and their potential applications for coastal observations.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2005
- Accession Number
- ADA465237
Entities
People
- Alan Dean Weidemann
- Brandon Casey
- Robert A. Arnone
- Rost Parsons
- Wesley Goode
- Zhongping Lee
Organizations
- United States Naval Research Laboratory