Implementing multi-portal sharing of Great Lakes remote sensing data

Session: 61. - Remote Sensing, Visualization, and Spatial Data Applications for the Great Lakes

Michael Billmire, Michigan Tech Research Institute, [email protected]
Colin Brooks, Michigan Tech Research Institute, [email protected]
Mike Sayers, Michigan Tech. Research Inst., [email protected]
Robert Shuchman, Michigan Technological University, [email protected]
Amanda Grimm, Michigan Tech Research Inst., [email protected]
Reid Sawtell, Michigan Tech Research Inst., [email protected]
Karl Bosse, Michigan Tech Research Inst., [email protected]
George Leshkevich, Great Lakes Env. Research Lab, NOAA, [email protected]
Theodore Slawecki, LimnoTech, [email protected]

Abstract

The frequency and diversity of Great Lakes remote sensing products has been increasing in recent years, providing more synoptic coverage of lentic water characteristics. The Michigan Tech Research Institute (MTRI) has been at the forefront of creating and sharing derived remote sensing products, including photic zone depth, Kd490, chlorophyll, suspended minerals, color dissolved organic matter, dissolved organic carbon, harmful algal bloom extent, lake surface temperature, natural color imagery, and time-averaged products. To enable greater access to these data for citizens, scientists, agency staff, and other stakeholders, MTRI has been developing and improving the user-friendly Satellite Derived Great Lakes Remote Sensing web portal. MTRI has been working closely with the Great Lakes Observing System (GLOS) and NOAA Great Lakes Environmental Research Lab (GLERL) Coastwatch to increase access to derived remote sensing data through web mapping services for GLOS and algorithm integration for GLERL. These provide practical examples of enabling improved data sharing of Great Lakes scientific data to support monitoring, research, and decision making.  

1. Keyword
outreach

2. Keyword
data storage and retrieval

3. Keyword
remote sensing

4. Additional Keyword
data sharing

5. Additional Keyword
portal