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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 (24) Types Downloadable (24) Map Service (24) OGC WFS Layer (24) OGC WMS Layer (24) Contacts Upper Midwest Environmental Sciences Center GS ScienceBase Andrew C Strassman U.S. Geological Survey - ScienceBase Erin E Hoy Jenny L Hanson U.S. Geological Survey Tag Types Theme (24) Place (24) Tag Schemes None (21) State (13) USGS Thesaurus (16) Common geographic areas (7) ISO 19115 Topic Category (11) Mississippi River (11) Marine Realms Information Bank (MRIB) keywords (3) 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 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 Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accuracy Assessment, Data Collection, Katahdin Woods and Waters National Monument, Maine, Map, All tags... NVCS, National Park Service, National Vegetation Classification Standard, Natural Resources Preservation Program, Observation, U.S. National Vegetation Classification, USNVC, United States, Vegetation Plot, biota, environment, 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 Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2018 NAIP Imagery 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes Network, Michigan, Pictured Rocks National Lakeshore, aerial imagery, beech bark disease, All tags... biota, forest canopy gaps, forest connectivity, Fewer tags Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Project Boundary Polygon 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Katahdin Woods and Waters National Monument, Maine, Map, NVCS, National Park Service, All tags... National Vegetation Classification Standard, Natural Resources Preservation Program, Project Boundary, U.S. National Vegetation Classification, USNVC, United States, Vegetation, biota, environment, Fewer tags Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes Network, Michigan, Pictured Rocks National Lakeshore, aerial imagery, beech bark disease, All tags... biota, forest canopy gaps, forest connectivity, Fewer tags St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Hudson, WI, 2018 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Minnesota, St. Croix River, USGS-EMA-LOW-SB SMC: Freshwater mussels, Wisconsin, benthic ecosystems, All tags... benthos, biota, 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 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 Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes Network, Michigan, Pictured Rocks National Lakeshore, aerial imagery, beech bark disease, All tags... biota, forest canopy gaps, forest connectivity, 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 Forest Canopy Gaps Identified by Lidar for Navigational Pool 26 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 26, canopy gap, canopy height model, All tags... flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags Mississippi National River and Recreation Area, Substrate Characterization of the Mississippi River near Hidden Falls, MN, 2019 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Minnesota, Mississippi River, USGS-EMA-LOW-SB SMC: Freshwater mussels, Wisconsin, benthic ecosystems, All tags... benthos, biota, Fewer tags Broken Forest Canopy Identified by Lidar for the Alton Reach of the Illinois 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: Confluence of the Mississippi River to Kampsville, IL, Illinois, Missouri, canopy gaps, canopy height model, All tags... forest, forestry, land cover/land use, lidar, Fewer tags Forest Canopy Gaps Identified by Lidar for 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 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, All tags... flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags St. Croix National Scenic Riverway, Substrate Characterization of the St. Croix River near Prescott, WI, 2018 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Minnesota, St. Croix River, USGS-EMA-LOW-SB SMC: Freshwater mussels, Wisconsin, benthic ecosystems, All tags... benthos, biota, Fewer tags Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Map Polygons 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. This layer provides the vegetation map for the Seboeis Unit. Information for this layer was collected in 2019 and 2020. After completion of the accuracy assessment process, 33 map classes represent the Seboeis Unit of the monument. Of the 33 map classes that represent the Seboeis Unit, 28 represent natural (including ruderal) vegetation types, consisting of 50 U.S.... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accuracy Assessment, Aerial Imagery, Data Collection, Image Interpretation, Katahdin Woods and Waters National Monument, All tags... Maine, Map, NVCS, National Park Service, National Vegetation Classification Standard, Natural Resources Preservation Program, Observation, U.S. National Vegetation Classification, USNVC, United States, Vegetation Plot, biota, environment, Fewer tags 1 2 »