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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic and water column characteristics of macro habitats in the Illinois River. Multibeam echosounders (MBES) collect multibeam and sidescan simultaneously, providing high-resolution images of the riverbed. Sidescan images, in raster format, show the recorded intensity of acoustic signal returns from the riverbed. The acoustic data were collected from the main and side channels (where accessible) of the Dresden reach June 4 – 28, 2018.
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Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Small areas containing priority mussel habitat had additional collection efforts to map water velocities and bottom composition. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. These information needs were highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment...
Aerial imagery for the Upper Mississippi River System (UMRS) Navigational Pool 5 drawdown follow-up was collected in true color (TC) in August of 2015 at 6”/pixel using a mapping-grade Applanix DSS 439 digital aerial camera. All TC aerial images were orthorectified, mosaicked, and compressed into a JPEG2000-format image. The TC aerial images were interpreted and automated using a genus-level 150-class Long Term Resource Monitoring (LTRM) vegetation classification. The 2015 vegetation database was prepared by or under the supervision of competent and trained professional staff using documented standard operated procedures.
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This dataset is a digital elevation model (DEM) of the bathymetry for six sites where known rock structures exist in the St. Croix River. The DEMs have a 10-cm resolution (Boom site is 0.5-m) to provide ultra-high-resolution elevations for investigating the use of hydroacoustic technologies for quantifying habitat for imperiled mussels Spectaclecase (Margaritifera monodonta) and Salamander (Simpsonaias ambigua) typically associated with rock structures (e.g., wing dams, revetment) in rivers. Bathymetry is essential for providing the depths and shapes of underwater terrain and it represents the three-dimensional features (or relief) of underwater terrain. Multibeam sonar data were collected using a Norbit integrated...
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the eastern 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...
Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic and water column characteristics of macro habitats in the Illinois River. Multibeam echosounders (MBES) collect multibeam and sidescan simultaneously, providing high-resolution images of the riverbed. Sidescan images, in raster format, show the recorded intensity of acoustic signal returns from the riverbed. The acoustic data were collected from the West Pit of Hanson Pits (where accessible) of the Marseilles reach June 25-26, 2018.
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Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Small areas containing priority mussel habitat had additional collection efforts to map water velocities and bottom composition. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. This information is highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment and Natural...
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Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Small areas containing priority mussel habitat had additional collection efforts to map water velocities and bottom composition. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. This information is highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment and Natural...
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This dataset is a digital surface of depth-averaged flow velocities for six sites where known rock structures exist in the St. Croix River. Acoustic Doppler Current Profilers (ADCP) are used to measure how fast water is moving across an entire water column. The ADCP measures water currents with sound, and the resulting flow information will be used for investigating the use of hydroacoustic technologies for quantifying habitat for imperiled mussels Spectaclecase (Margaritifera monodonta) and Salamander (Simpsonaias ambigua) typically associated with rock structures (e.g., wing dams, revetment) in rivers. River current velocities were collected using a SonTek RiverSurveyor© M9 for all six sites. All hydroacoustic...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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This collection of conservation areas consists of the floodplain of the combined streams of the Iowa River and the Cedar River. The study area begins just southeast of Wapello, IA, and continues southeast until the Horseshoe Bend Division, Port Louisa NWR. The area is currently managed to maintain meadow or grassland habitat which requires intensive management due to vegetative succession. In addition, this floodplain area contains a high proportion of managed lands and private lands in the Wetland Reserve Program and is a high priority area for cooperative conservation actions. This project provides a late-summer baseline vegetation inventory to assess future management actions in an adaptive process. Changes in...
Due to a gap in information on regeneration of hard-mast trees in the floodplain, interpretation was completed of existing 8“/pixel aerial imagery delineating a detailed hardwood forest spatial dataset within the floodplain forest of the Fish and Wildlife Upper Mississippi National Wildlife & Fish Refuge, McGregor District. The detailed map of bottomland hardwoods will allow for the identification of existing habitat and assess bottomland hardwood tree patterns to enable management of these areas.
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These data are digital hillshades of the bathymetry for five (of six) sites where known rock structures exist in the St. Croix River. Hillshades are shaded relief surfaces created by the illumination source angle and shadows, and are being used to investigate the use of hydroacoustic technologies for quantifying habitat for imperiled mussels Spectaclecase (Margaritifera monodonta) and Salamander (Simpsonaias ambigua) typically associated with rock structures (e.g., wing dams, revetment) in rivers. Hillshades are essential for visualizing details of underwater terrain and it represents a shaded relief surface of the topography. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system...
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Small areas containing priority mussel habitat had additional collection efforts to map water velocities and bottom composition. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. This information is highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment and Natural...


map background search result map search result map 2015 Pool 5 Drawdown Land Cover/Land Use Data Port Louisa National Wildlife Refuge: 2014 Land Cover Land Use Horseshoe Bend Upper Mississippi National Wildlife and Fish Refuge: McGregor District Mast Hardwood Floodplain Forest Community Illinois River, Dresden, Sidescan Image Mosaic June 2018 Illinois River, Hanson Pits,West Pit, Sidescan Image Mosaic, 2018 Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 9 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 24 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 26 of the Mississippi River Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018 UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 04 UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 13 Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 Mississippi National River and Recreation Area, Substrate Characterization of the Mississippi River near Hidden Falls, MN, 2019 St. Croix National Scenic Riverway, ADCP Flow Diffusion of the St. Croix River near Hudson, WI, 20181004 St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 Depth average velocity of select Rock Outcrops of the St. Croix River, May 2021 Bathymetry of select Rock Outcrops of the St. Croix River, May 2021 700kHz Multibeam Bathymetry Hillshade of select Rock Outcrops of the St. Croix River, May 2021 St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 St. Croix National Scenic Riverway, ADCP Flow Diffusion of the St. Croix River near Hudson, WI, 20181004 Port Louisa National Wildlife Refuge: 2014 Land Cover Land Use Horseshoe Bend Bathymetry of select Rock Outcrops of the St. Croix River, May 2021 700kHz Multibeam Bathymetry Hillshade of select Rock Outcrops of the St. Croix River, May 2021 Depth average velocity of select Rock Outcrops of the St. Croix River, May 2021 2015 Pool 5 Drawdown Land Cover/Land Use Data Illinois River, Dresden, Sidescan Image Mosaic June 2018 Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 24 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 9 of the Mississippi River Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 Forest Canopy Gaps Identified by Lidar for Navigational Pool 26 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 13 UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 04 Upper Mississippi National Wildlife and Fish Refuge: McGregor District Mast Hardwood Floodplain Forest Community Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018