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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 failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
Using high-resolution sonar technologies with geographic information systems (GIS) and object based image analysis, benthic habitats of the Illinois River will be interpreted to support Asian carp research, monitoring and control. The entire study plan will consist of data collection and analysis of the Brandon, Dresden, Starved Rock, Marseilles, Peoria, La Grange and Alton reaches of the Illinois River. Reaches with larger aquatic areas (Peoria, La Grange and Alton), will have priority areas and backwaters collected and analyzed first.
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A side scan image collected with Humminbird Helix 10 on November 14, 2019. Side scan sonar creates a picture or an image of the riverbed. To generate an image, side scanners measures the strength of how loud the return sonar pings are.
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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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Pictured Rocks National Lakeshore (PIRO) in the Upper Peninsula of Michigan is home to many wildlife species that depend on forest canopy connectivity to thrive. Park biologists are interested to learn how forest loss in the late 2000s and early 2010s caused by beech bark disease (BBD) is affecting these wildlife species. Biologists need to know where forest canopy gaps exist and identify where the greatest canopy connectivity loss has occurred prior to research observing and collecting data on wildlife species.This dataset will show biologists forest connectivity shortly after BBD infection occurred at PIRO as derived from object-based image analysis and aerial imagery acquired in 2005.
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A slope raster generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019. Slope represents the rate of change of elevation under the water column.
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During summer 2019, botanists with the Maine Natural Areas Program collected data from 94 vegetation plots for plant community characterization. The sampling data were entered into the National Park Service PLOTS version 4.0 (National Park Service 2015) for analyses to characterize vegetation associations in the U.S. National Vegetation Classification. An accuracy assessment was performed on the draft version of the vegetation map layer. During the summer of 2020, field crews collected data from 107 stratified and randomly selected sites for evaluating the accuracy of the vegetation map layer for those map classes representing U.S. National Vegetation Classification associations. The accuracy assessment field data...
Remote sensing technologies, such as high-resolution sonars, can be used to collect more detailed information about the benthic and water column characteristics of macrohabitats in the Illinois River. These data are high-resolution bathymetry (river bottom elevation) in raster format that represent Starved Rock reach in the summer of 2017 and 2018. The hydrographic data were collected on the main channel and side channels where accessible.
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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...
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A digital elevation model generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019.
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This dataset is a digital surface model of the slope for six sites where known rock structures exist in the St. Croix River. Slope is the gradient, or rate of maximum change in elevation, and is derived from the DEM. Slope measures 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. Slope is a driver of energy below the water and influences biotic diversity, distribution, and the functional traits of those biota. Slope is expressed in degrees; it calculates the maximum rate of change in value from...
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This dataset contains data collected in the field for the field component of the 2018-20 UMRR Science in support of Restoration Forest Canopy Gap Dynamics study titled "Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests."
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) Program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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 Easst Pit of Hanson Pits (where accessible) of the Marseilles reach June 27, 2018.
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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 failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
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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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Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic characteristics of macro habitats in the Illinois River. Multibeam echosounders 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 East Pit of the Hanson Pits (where accessible) of the Marseilles reach June 27, 2018, and August 25, 2020.
map background search result map search result map UMRR Peoria Reach Topobathy Illinois River, Starved Rock, Multibeam Bathymetry, May 2018 Illinois River, Hanson Pits,East Pit, Sidescan Image Mosaic, 2018 Illinois River, Brandon, Multibeam Bathymetry, May 2018 Forest Canopy Gaps Identified by Lidar for Navigational Pool 9 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 Broken Forest Canopy Identified by Lidar for the Alton Reach of the Illinois River Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River Illinois River, Hanson Pits, East Pit, Sidescan Image Mosaic, 2018-2020 Lock and Dam 19 Bathymetry Slope, 2019 Lock and Dam 19 DEM, 2019 Lock and Dam 19 Side Scan, 2019 Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery Mississippi National River and Recreation Area Bathymetry, Mississippi River, 2019-2021 Mississippi National River and Recreation Area, Substrate Characterization of the Mississippi River near Hidden Falls, MN, 2019 Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Accuracy Assessment Sites and Vegetation Plots Field Data 700kHz Multibeam Bathymetry Hillshade of select Rock Outcrops of the St. Croix River, May 2021 700kHz Bathymetric Slope of select Rock Outcrops of the St. Croix River, May 2021 Floodplain Forest Canopy Gap Survey Data for select gaps in pools of the Upper Mississippi River, Field Gap Data Spreadsheet Lock and Dam 19 Bathymetry Slope, 2019 Lock and Dam 19 DEM, 2019 Lock and Dam 19 Side Scan, 2019 Illinois River, Hanson Pits,East Pit, Sidescan Image Mosaic, 2018 Illinois River, Hanson Pits, East Pit, Sidescan Image Mosaic, 2018-2020 Mississippi National River and Recreation Area, Substrate Characterization of the Mississippi River near Hidden Falls, MN, 2019 Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Accuracy Assessment Sites and Vegetation Plots Field Data 700kHz Multibeam Bathymetry Hillshade of select Rock Outcrops of the St. Croix River, May 2021 700kHz Bathymetric Slope of select Rock Outcrops of the St. Croix River, May 2021 Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Alton Reach of the Illinois 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 Forest Canopy Gaps Identified by Lidar for Navigational Pool 26 of the Mississippi River Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery Mississippi National River and Recreation Area Bathymetry, Mississippi River, 2019-2021 UMRR Peoria Reach Topobathy Floodplain Forest Canopy Gap Survey Data for select gaps in pools of the Upper Mississippi River, Field Gap Data Spreadsheet