Skip to main content
Advanced Search

Filters: Types: OGC WFS Layer (X) > Types: Map Service (X) > partyWithName: Stephanie R Sattler (X)

27 results (97ms)   

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
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
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
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.
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
Using high-resolution sonar technologies with geographic information systems (GIS) and object based image analysis, benthic characteristics of the Illinois River have been interpreted to support invasive carp research, monitoring and control. The study plan consisted 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), had areas prioritized for data collection and analysis.
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.
thumbnail
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.
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
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.
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 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
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
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.
map background search result map search result map Crosswalk between UMRR General Classification and USNVC 2017 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 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 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 Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery Mississippi National River and Recreation Area, Substrate Characterization of the Mississippi River near Hidden Falls, MN, 2019 St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 Illinois River, Peoria Priority Areas, Multibeam Sidescan Image Mosaic, September 2019 Illinois River, Peoria Reach Priority Areas, Multibeam Bathymetry, September 2019 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) St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 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: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Project Boundary Polygon Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River 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 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 Broken Forest Canopy Identified by Lidar for the 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 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 Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery Illinois River, Peoria Priority Areas, Multibeam Sidescan Image Mosaic, September 2019 Illinois River, Peoria Reach Priority Areas, Multibeam Bathymetry, September 2019 Crosswalk between UMRR General Classification and USNVC 2017