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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (17) Raster (13) Types Downloadable (30) Map Service (30) OGC WFS Layer (17) OGC WMS Layer (17) Shapefile (17) GeoTIFF (13) Raster (13) Contacts Jenny L Hanson Upper Midwest Environmental Sciences Center U.S. Geological Survey - ScienceBase GS ScienceBase John (William) Lund Jayme M Strange James T Rogala Tag Types Theme (32) Place (32) Tag Schemes None (21) USGS Thesaurus (23) Common geographic areas (11) State (17) ISO 19115 Topic Category (11) Data Categories for Marine Planning (11) Mississippi River (10) Upper Mississippi River (5) Illinois River (2) View Results as: JSON ATOM CSV

Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Missouri, Navigational Pool 24, canopy gap, canopy height model, All tags... forest, forestry, land cover/land use, lidar, Fewer tags UMRR La Grange Topobathy 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. Categories: Data; Types: Citation; Tags: Illinois, Illinois River, La Grange, Upper Mississippi River System, bathymetry, All tags... lidar, topobathy, Fewer tags UMRR Dresden Reach Topobathy 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. Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Dresden Reach, Illinois, Illinois River, Upper Mississippi River System, bathymetry, All tags... lidar, topobathy, Fewer tags Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Iowa, Minnesota, Navigational Pool 8, Wisconsin, canopy gap, All tags... canopy height model, flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Iowa, Navigational Pool 13, Wisconsin, canopy gap, All tags... canopy height model, forest, forestry, land cover/land use, lidar, Fewer tags Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... Superior, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags UMRR Marseilles Topobathy 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. Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Illinois, Illinois River, Marseilles, Upper Mississippi River System, bathymetry, All tags... lidar, topobathy, Fewer tags Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Iowa, Navigational Pool 13, Wisconsin, canopy gap, All tags... canopy height model, flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Missouri, Navigational Pool 21, canopy gap, canopy height model, All tags... forest, forestry, land cover/land use, lidar, Fewer tags Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Iowa, Minnesota, Navigational Pool 8, Wisconsin, canopy gap, All tags... canopy height model, forest, forestry, land cover/land use, lidar, Fewer tags Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, July 2020 This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 28-29, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... Superior, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Lock and Dam 19 Side Scan, 2019 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. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: DEM, Hydroacoustic, Illinois, Iowa, Lock and Dam 19, All tags... Mississippi River, bathymetry, lidar, side scan, sonar, Fewer tags Forest Canopy Gaps Identified by Lidar for Navigational Pool 24 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Missouri, Navigational Pool 24, canopy gap, canopy height model, All tags... flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags Lock and Dam 19 Bathymetry Slope, 2019 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. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: DEM, Hydroacoustic, Illinois, Iowa, Lock and Dam 19, All tags... Mississippi River, bathymetry, lidar, Fewer tags Duluth Entry: Survey area of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 This dataset represents the survey footprint of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar and multibeam data were collected September 22-23, 2020. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Minnesota Point: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 5-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography and multibeam sonar data representing the bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 20th and 23rd, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Methodology... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... Superior, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Duluth Entry: 2-foot Elevation contours of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extended approximately 0.85 kilometer (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Forest Canopy Gaps Identified by Lidar for Navigational Pool 9 of the Mississippi River 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Iowa, Minnesota, Navigational Pool 9, Wisconsin, canopy gap, All tags... canopy height model, flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags 1 2 »