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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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Illinois,
Missouri,
Navigational Pool 24,
canopy gap,
canopy height model,
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,
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,
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,
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,
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,
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,
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,
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,
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,
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 26,
canopy gap,
canopy height model,
An XYZ generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019. An XYZ is the raw point data that generated the original digital elevation model. This XYZ file contains latitude, longitude, elevation and intensity values for each point measured by the multibeam sonar.
A digital elevation model generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: DEM,
Hydroacoustic,
Illinois,
Iowa,
Lock and Dam 19,
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: Confluence of the Mississippi River to Kampsville, IL,
Illinois,
Missouri,
canopy gaps,
canopy height model,
A high-resolution sidescan image of the Mississippi River, Lock and Dam 19 approach (downstream) was collected with a Humminbird Solix. Side-imaging sonar creates an image of underwater riverbed features by measuring the intensity of acoustic reflections. This mega side-imaging sonar data was collected and mosaicked to capture more detailed information on the condition of the lock approach to provide information for the construction and deployment of an underwater acoustic deterrent system.
A digital elevation model hillshade generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019. A hillshade is a grayscale 3D representation of a surface.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: DEM,
Hydroacoustic,
Illinois,
Iowa,
Lock and Dam 19,
A backscatter raster generated from multibeam bathymetry and terrestrial lidar collected simultaneously on November 14, 2019. Backscatter is the reflection of a signal and can help when determining bottom types. Harder bottom types (like rock) reflect more sound than softer bottom types (like mud), and smoother bottom types reflect more sound than rugged bottom types.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: DEM,
Hydroacoustic,
Illinois,
Iowa,
Lock and Dam 19,
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 21,
canopy gap,
canopy height model,
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: Confluence of the Mississippi River to Kampsville, IL,
Illinois,
Missouri,
canopy gap,
canopy height model,
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 9,
Wisconsin,
canopy gap,
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