Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018

Time Period

2018-08-24

Publication Date

2021-10-26

Hanson, J.L., and Hoy, E.E., 2021, Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P936I3YN.

USGS is completing the second phase for developing informative spatial distribution datasets of the western basin of Lake Erie. To assess changes in submersed aquatic vegetation (SAV) distribution, a second dataset using high-resolution imagery (waters of the United States < 6 meters deep) collected during peak biomass in 2018 was analyzed. These efforts contribute to the assessment of long-term impacts of grass carp on vegetation communities throughout Lake Erie and the impact this may have on other organisms in the ecosystem. Additionally, they can inform the deployment of grass carp-specific attractants or deterrents used in management context. Attractant or deterrent deployments can be strategically placed on the spatial distribution and diet preferences of grass carp to maximize control efforts while reducing impacts to native species.

ScienceBase WMS

ScienceBase WFS

• Upper Midwest Environmental Sciences Center (UMESC)

Data source

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