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

Project Description

Texas A&M University-Corpus Christi improved water quality monitoring methodology of seagrass-dominated ecosystems by developing a data-rich imaging-based technology that is time and cost efficient for processing large numbers of samples.

Basics

Nueces
Texas A&M University - Corpus Christi
17

Classification

CMP
  • 306
Water Sediment Quantity and Quality Improvements

Contacts

Texas A&M University - Corpus Christi
Ruby Mehrubeoglu

Texas A&M University - Corpus Christi
Ruby Mehrubeoglu

Timeline

Closed
2015

Budget/Costs

$99,133.51