Abstract

The University of Puerto Rico at Mayaguez (UPRM), one of the core academic partners in the NSF sponsored Center for Subsurface Sensing and Imaging Systems (CenSSIS), is developing algorithms using hyperspectral, multispectral and other sensing modalities to extract subsurface information in aquatic environments. As part of this effort, UPRM has created SeaBED, an algorithm validation testbed which is composed of three different analysis systems: a small laboratory based tank, a larger outdoor tank and a field site located on a nearby reef in southwest Puerto Rico. The main objective of SeaBED is to collect multiple levels of image, field and laboratory data with which to validate physical models, inversion algorithms, feature extraction tools and classification methods for subsurface aquatic sensing. Furthermore, in its role as an open testbed facility, SeaBED also provides academic, governmental and industrial collaborators access to both facilities and data for the development and validation of new instrumentation. Data produced from the testbed environment currently includes: airborne, satellite and field-level hyperspectral and multispectral images, and in situ measurements of spectral signatures, habitat composition and water properties (temperature, salinity, chlorophyll fluorescence, absorption coefficient, beam attenuation coefficient, backscattering coefficients, downwelling irradiance and upwelling radiance). We present the latest results from SeaBED, illustrate new and evolving industrial collaborations and discuss ongoing development.

Notes

Poster presented at the 2006 Validating TestBED and Research Posters on Real World Problems for I-PLUS Development Conference

Keywords

Coastal Hyperspectral Image Analysis, aquatic environments

Subject Categories

Coral reef conservation

Disciplines

Engineering

Publisher

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)

Publication Date

2006

Rights Holder

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)

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