Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018
The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the western basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting Grass Carp. Bait placement can be strategically aligned with the spatial distribution and diet preferences of Grass carp to maximize control efforts while minimizing impacts to native species. These data provide a good baseline of SAV at an early point in the invasion/population growth curve for grass carp from which later assessments/models might project from, and also considered valuable for bioenergetic modeling efforts to project grass carp biomass or other species dependent on SAV.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Jenny L Hanson",
"@type": "vcard:Contact",
"hasEmail": "mailto:jhanson@usgs.gov"
}
|
| description | The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the western basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting Grass Carp. Bait placement can be strategically aligned with the spatial distribution and diet preferences of Grass carp to maximize control efforts while minimizing impacts to native species. These data provide a good baseline of SAV at an early point in the invasion/population growth curve for grass carp from which later assessments/models might project from, and also considered valuable for bioenergetic modeling efforts to project grass carp biomass or other species dependent on SAV. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P936I3YN",
"mediaType": "application/http",
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{
"@type": "dcat:Distribution",
"title": "Original Metadata",
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_60aeab1cd34e4043c853a16d |
| keyword |
[
"Ctenopharyngodon idella",
"Great Lakes",
"Lake Erie",
"USGS-CC Asian Carp",
"USGS-CC Great Lakes",
"USGS:60aeab1cd34e4043c853a16d",
"Western Lake Erie",
"aquatic vegetation",
"biota",
"freshwater ecosystems",
"image analysis",
"remote sensing"
]
|
| modified | 2021-10-26T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -83.6818, 41.3309, -82.4146, 42.3167 |
| theme |
[
"Geospatial"
]
|
| title | Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Western Basin, 2018 |
