Filters: Tags: Minnesota (X) > Types: OGC WMS Layer (X)

Filters Date Range Past year (41) Past month (1) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (103) Project (8) Budget (7) Citation (4) ArcGIS Service Definition (2) More... Types Map Service (193) OGC WFS Layer (192) Downloadable (106) Shapefile (104) OGC WMS Service (102) More... Contacts U.S. Geological Survey - ScienceBase Janis Ruhser Upper Midwest Environmental Sciences Center U.S. Geological Survey Jenny L Hanson More... Categories Data (164) Project (9) Publication (4) Physical Item (2) Collection (1) Data Release - Revised (1) Image (1) Tag Types Place (158) Theme (159) Congressional Districts - 113th Session (8) place (9) LCC End User Type (22) theme (20) USGS Scientific Topic Keyword (35) More... Tag Schemes None (94) USGS Thesaurus (96) Common geographic areas (65) https://www.sciencebase.gov/vocab/category/Places/CongressionalDistricts/113thSession (8) http://geonames.usgs.gov/ (8) U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (8) Geographic Names Information System (10) More... View Results as: JSON ATOM CSV

National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12 This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 12 digit Hydrological Unit Codes (HUC12s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the NFHAP 2010 Alaska assesment HCI values were already attributed to HUC12s. For this reason values for Alaska in this shapefile are identical to those represented in the Alaska assessment. To summarize data into HUC12s for the Conterminous United States and Hawaii a length-weighted average was used (i.e. the cumulative HCI score... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags... Aquatic habitats, Arizona, Arkansas, California, Catchment areas, Colorado, Connecticut, Conterminous United States, Delaware, District of Columbia, Environmental conditions, Florida, Georgia, Habitat suitability, Hawaii, Idaho, Illinois, Indiana, Inland water environments, Iowa, Kansas, Kentucky, Landscape ecology, Louisiana, Lower 48 states, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NFHP Cooperator, National Assessment Data, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, NoVisual, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, River basins, Rivers, South Carolina, South Dakota, Spatial Data, Spatial Data, Stream Characterization, Streams, Tennessee, Texas, USA, Utah, Virginia, Washington, Water quality measurement, West Virginia, Wisconsin, Wyoming, Fewer tags UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 06 The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification.... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Backwater, Impoundment, Main Channel, Minnesota, Mississippi River, All tags... Navigation Channel, Pool 6, Shallow Floodplain, Wisconsin, water resource management, wetlands, Fewer tags UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 04 The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification.... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Backwater, Impoundment, Main Channel, Minnesota, Mississippi River, All tags... Navigation Channel, Pool 4, Shallow Floodplain, Wisconsin, water resource management, wetlands, 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 Data for machine learning predictions of pH in the glacial aquifer system, northern USA A boosted regression tree (BRT) model was developed to predict pH conditions in three-dimensions throughout the glacial aquifer system (GLAC) of the contiguous United States using pH measurements in samples from 18,258 wells and predictor variables that represent aspects of the hydrogeologic setting. Model results indicate that the carbonate content of soils and aquifer materials strongly controls pH and when coupled with long flow paths, results in the most alkaline conditions. Conversely, in areas where glacial sediments are thin and carbonate-poor, pH conditions remain acidic. At depths typical of drinking-water supplies, predicted pH > 7.5 – which is associated with arsenic mobilization – occurs more frequently... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Boosted regression trees, Calcite saturation index, Connecticut, Geochemistry, Geochemistry, All tags... Glacial aquifer system, Groundwater, Groundwater corrosivity, Hydrology, Idaho, Illinois, Indiana, Iowa, Kansas, Machine learning, Maine, Massachusetts, Michigan, Minnesota, Missouri, Montana, NAWQA, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, USGS Science Data Catalog (SDC), Vermont, Washington, Water Quality, Wisconsin, pH, Fewer tags Data: Current and future MPI ECHAM5 climate data for NHD v2 catchments within the Mississippi River Basin This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Arkansas, Colorado, Complete, All tags... Conservation NGOs, Conservation planning, Datasets/Database, Decision support, Federal resource managers, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, LCC Network Science Catalog, Louisiana, Maryland, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, State agencies, Tennessee, Texas, Virginia, West Virginia, Wisconsin, Wyoming, air temperature, aquatic ecosystems, climate change, climate change, climatologyMeteorologyAtmosphere, climatologyMeteorologyAtmosphere, data.gov Eastern Tallgrass Prairie and Big Rivers LCC, drainage basins, environment, inlandWaters, nonGeographicDataset, precipitation measurements, rivers, streams, Fewer tags Urban Monarch Conservation Workshop November 9-10, 2016 Monarch butterfly habitat—including milkweed host plants and nectar food sources—has declined drastically throughout most of the United States. Observed overwinter population levels have also exhibited a long-term downward trend that suggests a strong relationship between habitat loss and monarch population declines. To try and reverse this trend, there has been a call to action to engage in monarch conservation across all landscapes within the migratory pathway—and urban areas could play a critical role, but how?The Field Museum, in partnership with the U.S. Fish and Wildlife Service, have spent the last year working on an Urban Monarch landscape conservation design (LCD), or a “Monarch’s view of the city”, project... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2017, Arkansas, Conservation NGOs, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative, All tags... Federal resource managers, Illinois, Indiana, Informing Conservation Delivery, Iowa, LCC, LCC Network Science Catalog, Minnesota, Monarch, Policy makers & regulators, Project, Regional & county planners, State agencies, Training/Outreach/Workshop, Upper Midwest and Great Lakes Landscape Conservation Cooperative, Urban, completed, environment, environment, Fewer tags 1.0-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 1 percent probability of exceedance in 1 year. The data are for the Central and Eastern United States and are based on the one-year model. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 1 Lake information for 2,332 lakes This dataset provides shapefile outlines of the 2,332 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is included, which includes lake metadata and all features that were considered for the meta transfer model (not all meta features were used). This dataset is part of a larger data release of lake temperature model inputs and outputs for 2,332 lakes in the U.S. (https://doi.org/10.5066/P9I00WFR). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, IA, IL, Illinois, All tags... Iowa, MI, MN, Michigan, Minnesota, ND, North Dakota, OH, Ohio, SD, South Dakota, US, United States, WI, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 1 Lake information for 881 lakes This dataset provides shapefile outlines of the 881 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 881 lakes in the U.S. state of Minnesota (https://doi.org/10.5066/P9PPHJE2). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: MN, Minnesota, SD, South Dakota, US, All tags... United States, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Average Annual Precipitation (PRISM model) 1961 - 1990 This map layer shows polygons of average annual precipitation in thecontiguous United States, for the climatological period 1961-1990.Parameter-elevation Regressions on Independent Slopes Model (PRISM)derived raster data is the underlying data set from which the polygonsand vectors were created. PRISM is an analytical model that uses pointdata and a digital elevation model (DEM) to generate gridded estimatesof annual, monthly and event-based climatic parameters. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alabama, Arizona, Arkansas, California, Climate, All tags... Colorado, Connecticut, Delaware, District of Columbia, Environment, Florida, Georgia, Geoscientific information, Idaho, Illinois, Indiana, Inland waters, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, PRISM, Pennsylvania, Precipitation, Rainfall, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, Fewer tags Study Boundary for the U.S. Geological Survey Midwest Stream Quality Assessment In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ecoregions, Geographic Information Systems, Geospatial Analysis, Geospatial Datasets, Illinois, All tags... Indiana, Iowa, Kansas, Kentucky, MSQA, Michigan, Midwest, Midwest Stream Quality Assessment, Minnesota, Missouri, National Water Quality Assessment, Nebraska, Ohio, RSQA, Regional Stream Quality Assessment, South Dakota, Study boundary, Wisconsin, inlandWaters, Fewer tags National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC8 This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 8 digit Hydrological Unit Codes (HUC8s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the initial NFHAP 2010 Alaska assessment HCI values were attributed to HUC12s. For this reason, to summarize data into HUC8s for Alaska an area-weighted average was used (i.e. the cumulative HCI score assigned to each HUC12 within a HUC8 was weighted by reach area using the formula (H1*A1+H2*A2...+HX*AX)/(A1+A2...+AX) where H = HCI... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags... Aquatic habitats, Arizona, Arkansas, California, Catchment areas, Colorado, Connecticut, Conterminous United States, Delaware, District of Columbia, Environmental conditions, Florida, Georgia, Habitat suitability, Hawaii, Idaho, Illinois, Indiana, Inland water environments, Iowa, Kansas, Kentucky, Landscape ecology, Louisiana, Lower 48 states, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NFHP Cooperator, National Assessment Data, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, NoVisual, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, River basins, Rivers, South Carolina, South Dakota, Spatial Data, Spatial Data, Stream Characterization, Streams, Tennessee, Texas, USA, Utah, Virginia, Washington, Water quality measurement, West Virginia, Wisconsin, Wyoming, Fewer tags Fishtail huc12: Indices and supporting data characterizing the current (1961-2000) and future (2041-2080) risk to fish habitat degradation in the Northeast Climate Science Center region This dataset represents results from this study attributed to the Hydrologic Unit Code (HUC) 12 watershed boundaries. Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Aquatic habitats, Connecticut, Data Visualization & Tools, Delaware, Fish, All tags... Illinois, Indiana, Iowa, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, Northeast CASC, Ohio, Pennsylvania, Rhode Island, Rivers, Streams and Lakes, Science Tools For Managers, Vermont, Virginia, Washington D.C., Water, Coasts and Ice, West Virginia, Wildlife and Plants, Wisconsin, climate change, drainage basins, habitat fragmentation, inlandWaters, land use and land cover, rivers, streams, water quality, Fewer tags UMRR HNA-II 2010/11 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 07 The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS). Aerial images of Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial images of Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. The CIR aerial images were interpreted and automated using a 31-class LTRM vegetation classification.... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Backwater, Impoundment, Main Channel, Minnesota, Mississippi River, All tags... Navigation Channel, Pool 7, Shallow Floodplain, Wisconsin, water resource management, wetlands, Fewer tags UMRR Mississippi River Navigation Pool 04 Bathymetry Footprint The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: LIDAR, Minnesota, Mississippi River, Navigation Pool 4, Upper Mississippi River, All tags... Upper Mississippi River System, Wisconsin, bathymetry, digital elevation models, elevation, image collections, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags Crosswalk between UMRR General Classification and USNVC 2017 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Illinois, Iowa, LCU, Land Cover/Use, Long Term Resource Monitoring, All tags... Minnesota, Missouri, NVCS, National Vegetation Classification Standard, U.S. National Vegetation Classification, USGS Science Data Catalog (SDC), USNVC, United States, Upper Mississippi River Restoration, Upper Mississippi River System, Upper Mississippi River System, Wisconsin, Fewer tags UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 04 The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Backwater, Impoundment, Main Channel, Minnesota, Mississippi River, All tags... Navigation Channel, Pool 4, Shallow Floodplain, Wisconsin, water resource management, wetlands, Fewer tags UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 03 The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Backwater, Impoundment, Main Channel, Minnesota, Mississippi River, All tags... Navigation Channel, Pool 3, Shallow Floodplain, Wisconsin, water resource management, wetlands, 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 « 1 2 3 4 5 ... 10 »