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Seagrass and Epiphyte Hyperspectral Imaging for Efficient Integrated Measurement of Water Quality

Summary

Texas A&M University-Corpus Christi (TAMUCC) will improve water quality monitoring methodology of seagrass-dominated ecosystems by developing a database to archive data and images, facilitate analysis and disseminate results. Seagrass blades, collected in the field, will be scanned with the hyperspectral imaging system in the field to collect spatial (picture-like) information and spectral response of the blades and its colonies, then returned to the lab and scanned on high quality color and fluorescence scanners. Images will be analyzed using appropriate software for percent epiphyte cover, epiphyte assemblage structure to the lowest practical taxon, and spatial gradients in epiphyte cover on the seagrass blade. Imaging analyses will be calibrated by epiphyte pigment analyses and traditional measures. Diagnostic pigment biomarkers are a rapid means for assessing algal community composition.  The final product will be a set of imaging and analytical routines that can be readily and efficiently adopted for large numbers of samples using relatively simple technology, a prototype database and education/outreach materials.

Basics

Nueces

N/A

Texas A&M University-Corpus Christi

$101,172.00

Classification

CMP 306

Water Quality Improvement

N/A



Funding Sources

Source 1

Active

13-040

Coastal Management Program (CMP)

Primary

Federal

$60,604.00

17

N/A

Source 2

Active

13-040

Texas A&M University-Corpus Christi

Secondary

State

$40,568.00

17

N/A


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Contacts

Texas A&M University-Corpus Christi
Dr. Mehrube Mehrubeoglu
Associate Professor
6300 Ocean Dr., Unit 5797
Corpus Christi, Texas 78412
361.825.3378
Email

General Land Office
Coastal Resources
1.800.998.4456
512.475.0773