Hyperspectral imaging of an inter-coastal waterway

Jeffrey H. Bowles; Shelia J. Maness; Wei Chen; Curtiss O. Davis; Tim F. Donato; David B. Gillis; Daniel Korwan; Gia Lamela; Marcos J. Montes; W. Joseph Rhea; William A. Snyder

doi:10.1117/12.627676

31 October 2005 Hyperspectral imaging of an inter-coastal waterway

Jeffrey H. Bowles, Shelia J. Maness, Wei Chen, Curtiss O. Davis, Tim F. Donato, David B. Gillis, Daniel Korwan, Gia Lamela, Marcos J. Montes, W. Joseph Rhea, William A. Snyder

Author Affiliations +

Proceedings Volume 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V; 59830F (2005) https://doi.org/10.1117/12.627676
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

This paper demonstrates the characterization of the water properties, bathymetry, and bottom type of the Indian River Lagoon (IRL) on the eastern coast of Florida using hyperspectral imagery. Images of this region were collected from an aircraft in July 2004 using the Portable Hyperspectral Imager for Low Light Spectroscopy (PHILLS). PHILLS is a Visible Near InfraRed (VNIR) spectrometer that was operated at an altitude of 3000 m providing 4 m resolution with 128 bands from 400 to 1000 nm. The IRL is a well studied water body that receives fresh water drainage from the Florida Everglades and also tidal driven flushing of ocean water through several outlets in the barrier islands. Ground truth measurements of the bathymetry of IRL were acquired from recent sonar and LIDAR bathymetry maps as well as water quality studies concurrent to the hyperspectral data collections. From these measurements, bottom types are known to include sea grass, various algae, and a gray mud with water depths less than 6 m over most of the lagoon. Suspended sediments are significant (~35 mg/m³) with chlorophyll levels less than 10 mg/m³ while the absorption due to Colored Dissolved Organic Matter (CDOM) is less than 1 m^-1 at 440 nm. Hyperspectral data were atmospherically corrected using an NRL software package called Tafkaa and then subjected to a Look-Up Table (LUT) approach which matches hyperspectral data to calculated spectra with known values for bathymetry, suspended sediments, chlorophyll, CDOM, and bottom type.

Citation Download Citation

Jeffrey H. Bowles, Shelia J. Maness, Wei Chen, Curtiss O. Davis, Tim F. Donato, David B. Gillis, Daniel Korwan, Gia Lamela, Marcos J. Montes, W. Joseph Rhea, and William A. Snyder "Hyperspectral imaging of an inter-coastal waterway", Proc. SPIE 5983, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V, 59830F (31 October 2005); https://doi.org/10.1117/12.627676

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available