Connecting River Systems Restoration Assessment Dikes

This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.

Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Detroit River, Great Lakes, LIDAR, Lake St. Clair, St. Clair River, All tags... biogeography, coastal ecosystems, coastal processes, connectivity, decision support methods, digital elevation models, dikes, drainage, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, restoration, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags

Fish eggs collected in the St. Clair and Detroit rivers, 2005-2016

The data describe the number, density, date of collection, and exact collection location of fish eggs (from multiple species) collected in the St. Clair and Detroit Rivers from 2005-2016.

Categories: Data; Types: Citation; Tags: Detroit River, St. Clair River, fish, habitat, reproduction, All tags... restoration, Fewer tags

Connecting River Systems Restoration Assessment Composite Model

Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of the connecting rivers (Detroit River and St. Clair River). The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.

Types: Citation; Tags: Detroit River, Great Lakes, LIDAR, Lake St. Clair, St. Clair River, All tags... biogeography, coastal ecosystems, coastal processes, decision support methods, digital elevation models, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags

Water Depths and Velocities at Fish Egg Sampling Sites in the St. Clair-Detroit River System, 2005-2016

This dataset contains depths and bottom velocities at discreet sampling locations in the St. Clair-Detroit River System. Measurements were made to complement data on fish egg deposition in the St. Clair-Detroit Rivers from 2005-2016. Depth measurements were made with a boat mounted sonar unit at the beginning of spring and fall sampling season from 2005-2016. Water velocities near the river bed were measured in 2013 and 2015 using a handheld velocity meter attached to a 6.8 kg sounding weight. The sounding weight was lowered off the side of a boat to the river bottom and then lifting the weight slighlty off the bottom to ensure the weight and velocity meter were properly oriented with the current, the mean velocity...

Categories: Data; Types: Citation; Tags: Detroit River, St. Clair River, field inventory and monitoring, inlandWaters, single-beam echo sounder

Connecting River Systems Restoration Assessment Degree Flowlines

This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.

Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, Detroit River, FWHydrography, Great Lakes, All tags... Hydrography, LIDAR, Lake / Pond, Lake St. Clair, Reach Code, Reservoir, Spring / Seep, St. Clair River, Stream / River, Swamp / Marsh, biogeography, coastal ecosystems, coastal processes, connectivity, decision support methods, digital elevation models, dikes, drainage, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, restoration, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags