Skip to main content
Advanced Search

Filters: Categories: Data (X) > partyWithName: Stephanie R Sattler (X) > Types: Map Service (X)

55 results (11ms)   

Filters
Date Range
Extensions
Types
Contacts
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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...
thumbnail
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 2018) 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...
thumbnail
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.
thumbnail
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.
thumbnail
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.
thumbnail
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 where canopy gaps in present times after BBD infection occurred at PIRO as derived from object-based image analysis and National Agriculture Imagery Program (NAIP) imagery...
thumbnail
The Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project was initiated in the fall of 2019 by a grant through the USGS Natural Resource Preservation Program to classify and map vegetation types of the Seboeis Unit thereby providing resource managers and biological researchers with useful baseline vegetation information. The Study Area Boundary (SAB) for this project is similar to, but not exactly the same as, the official boundary for the Seboeis Unit. Because of uncertainty on the exact location of the Seboeis Unit boundary, mapping may have occurred beyond the official boundary. Additionally, this SAB is based upon the Seboeis Unit boundary as it appeared in September of 2019.
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.
thumbnail
Pictured Rocks National Lakeshore (PIRO), located 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 where canopy gaps existed shortly after BBD infection as derived from object-based image analysis and aerial imagery acquired in 2005.
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
This set of non-spatial tables provides a detailed link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification...
thumbnail
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.


map background search result map search result map UMRR Dresden Reach Topobathy UMRR Marseilles Topobathy Crosswalk between UMRR General Classification and USNVC 2017 Illinois River, Dresden, Sidescan Image Mosaic June 2018 Illinois River, Hanson Pits,West Pit, Sidescan Image Mosaic, 2018 Illinois River, Brandon, Multibeam Bathymetry, May 2018 Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2018 NAIP Imagery Mississippi National River and Recreation Area - Mississippi River Pools 2-3, Low Resolution (5-meter) Bathymetry, 2019 St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Project Boundary Polygon Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) 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 St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 Illinois River, Hanson Pits,West Pit, Sidescan Image Mosaic, 2018 Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Project Boundary Polygon Bathymetry 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 Illinois River, Dresden, Sidescan Image Mosaic June 2018 Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River UMRR Dresden Reach Topobathy Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River UMRR Marseilles Topobathy Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 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 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2018 NAIP Imagery Crosswalk between UMRR General Classification and USNVC 2017