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413 results returned

  1. Title: Geologic map of the Lake Superior region, Minnesota, Wisconsin and northern Michigan, bedrock geology, S-13

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of Minnesota and the Lake Superior region, including Wisconsin and Northern Michigan, scale 1:1,000,000.

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  2. Title: Geologic map of Lost Lake quadrangle, St Louis County, Minnesota, M-17

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the Lost Lake quadrangle, scale 1:24,000.

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  3. Title: Reconnaissance geologic map of Biwabik NW quadrangle, St Louis County, Minnesota, M-15

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the Biwabik NW quadrangle, scale 1:24,000.

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  4. Title: Reconnaissance geologic map of Britt quadrangle, St Louis County, Minnesota, M-16

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the Britt quadrangle, scale 1:24,000.

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  5. Title: Geologic map of western part of Vermilion district, northeastern Minnesota, M-13

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the western Vermilion district, scale 1:48,000.

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  6. Title: Geology of Minnesota: a centennial volume, Plate 2

    Contributors:

    Summary: Bouguer gravity anomaly map (anomaly related to different densities of rocks in the upper crust, Bouguer anomaly is a corrected difference between an observed gravity measurement and value predicted from a generalized earth model), showing Midcontinent gravity high, scale 1 inch = about 45 miles.

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  7. Title: Geology of Minnesota: a centennial volume, Plate 1

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of Minnesota, scale 1:1,000.000.

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  8. Title: Geologic map of Minnesota, New Ulm sheet, bedrock geology

    Contributors:

    Summary: Map showing interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the New Ulm quadrangle, scale 1:250,000.

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  9. Title: Geologic map of Minnesota, bedrock geology, M-14

    Contributors:

    Summary: Interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of Minnesota, scale 1:1,000,000.

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  10. Title: Geologic map of Minnesota, Hibbing sheet, bedrock geology

    Contributors:

    Summary: Map showing interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) of the Hibbing quadrangle, scale 1:250,000.

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  11. Title: Preliminary geologic map of the Vermilion district and adjacent areas, northern Minnesota, M-5

    Contributors:

    Summary: Map showing interpretations of bedrock geology (distribution of rock at the land surface and beneath surface sediments) around the Vermilion area, scale 1:125:000.

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  12. Title: Interpretation of Lake Washington magnetic anomaly, Meeker County, Minnesota, RI-4, Plate 1

    Contributors:

    Summary: Magnetic (interpretation of magnetic data collected from airborne or ground surveys, indicating the distribution and concentration of magnetic minerals (primarily iron-bearing) map of southeastern part of Meeker County, Minnesota, scale 1:62,500.

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  13. Title: Geologic interpretation of magnetic map of McLeod County, Minnesota, RI-1, Plate 1

    Contributors:

    Summary: Magnetic (interpretation of magnetic data collected from airborne or ground surveys, indicating the distribution and concentration of magnetic minerals (primarily iron-bearing) within the upper crust of the earth) map of McLeod County, Minnesota, scale 1 inch = about 1 1/4 mile.

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  14. Title: Geologic interpretation of magnetic map of McLeod County, Minnesota, RI-2, Plate 2

    Contributors:

    Summary: Magnetic (interpretation of magnetic data collected from airborne or ground surveys, indicating the distribution and concentration of magnetic minerals (primarily iron-bearing) map of the Hutchinson Area, McLeod County, Minnesota, scale 1 inch = about 3/4 mile.

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  15. Title: Simple Bouguer gravity map of Minnesota, Brainerd sheet, M-40

    Contributors:

    Summary: Bouguer gravity anomaly map (anomaly related to different densities of rocks in the upper crust, Bouguer anomaly is a corrected difference between an observed gravity measurement and value predicted from a generalized earth model), shown as contour lines (isolines) of equal value, Brainerd quadrangle, scale 1:250,000.

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  16. Title: Twin Cities Metropolitan Area Urban Tree Canopy Assessment (2015)

    Contributors:

    Summary: A high-resolution (1-meter) tree canopy assessment was completed for the Twin Cities Metropolitan Area. Mapping of existing and potential tree canopy is critical for urban tree management at the landscape level. This classification was created from combined 2015 aerial imagery, LIDAR data, and ancillary thematic layers. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach through multi-resolution image segmentation and an iterative set of classification commands in the form of customized rulesets. eCognition Developer was used to develop the rulesets and produce raster classification products for TCMA. The results were evaluated using randomly placed and independent verified assessment points. The classification product was analyzed at regional scales to compare distributions of tree canopy spatially and at different resolutions. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of tree canopy with highly accurate results.

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  17. Title: Duluth 1-Meter Land Cover Classification (Urban Focused)] (2016)

    Contributors:

    Summary: A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

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  18. Title: Twin Cities Metropolitan Area 1-Meter Land Cover Classification (Urban Focused) (2016)

    Contributors:

    Summary: A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

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  19. Title: Rochester 1-Meter Land Cover Classification (Urban Focused)] (2016)

    Contributors:

    Summary: A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

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  20. Title: Backscatter C (7125): Offshore of Bolinas, California, 2010

    Contributors:

    Summary: This layer is a georeferenced raster image containing acoustic-backscatter data for the offshore area of Bolinas, California. The acoustic-backscatter map was generated from data collected by California State University, Monterey Bay (CSUMB), by Fugro Pelagos, and by Moss Landing Marine Laboratory (MLML). Mapping was completed between 2004 and 2010, using a combination of 200-kHz and 400-kHz Reson 7125, and 244-kHz Reson 8101 multibeam echosounders, as well as 468-kHz SEA SWATHPlus and 250-kHz GeoSwath interferometric systems. Moss Landing Marine Laboratory mapped the nearshore region north of Bolinas in 2004 prior to the California Seafloor Mapping Program (CSMP). The nearshore region from south of Bolinas Lagoon to Stinson Beach was mapped by Fugro Pelagos in 2009 for a project outside of the CSMP and only bathymetry data were collected. Therefore, note that the shaded relief map coverage (see Bathymetry Hillshade--Offshore of Bolinas, California, DS 781) does not match the acoustic-backscatter map coverage (see Backscatter A-E--Offshore of Bolinas, California, DS 781). Within the acoustic-backscatter imagery, brighter tones indicate higher backscatter intensity, and darker tones indicate lower backscatter intensity. The intensity represents a complex interaction between the acoustic pulse and the seafloor, as well as characteristics within the shallow subsurface, providing a general indication of seafloor texture and sediment type. Backscatter intensity depends on the acoustic source level; the frequency used to image the seafloor; the grazing angle; the composition and character of the seafloor, including grain size, water content, bulk density, and seafloor roughness; and some biological cover. Harder and rougher bottom types such as rocky outcrops or coarse sediment typically return stronger intensities (high backscatter, lighter tones), whereas softer bottom types such as fine sediment return weaker intensities (low backscatter, darker tones). These data are not intended for navigational purposes. This layer is part of USGS Data Series 781. In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP) to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats and geology within the 3-nautical-mile limit of California's State Waters. CSMP has divided coastal California into 110 map blocks, each to be published individually as United States Geological Survey Open-File Reports (OFRs) or Scientific Investigations Maps (SIMs) at a scale of 1:24,000. Maps display seafloor morphology and character, identify potential marine benthic habitats and illustrate both the seafloor geology and shallow (to about 100 m) subsurface geology. Data layers for bathymetry, bathymetric contours, acoustic backscatter, seafloor character, potential benthic habitat and offshore geology were created for each map block, as well as regional-scale data layers for sediment thickness, depth to transition, transgressive contours, isopachs, predicted distributions of benthic macro-invertebrates and visual observations of benthic habitat from video cruises over the entire state. This coverage can be used to aid in assessments and mitigation of geologic hazards in the coastal region and to provide sufficient geologic information for land-use and land-management decisions both onshore and offshore. These data are intended for science researchers, students, policy makers, and the general public. This information is not intended for navigational purposes.The data can be used with geographic information systems (GIS) software to display geologic and oceanographic information. Johnson, S.Y., Greene, H.G., Manson, M.W., Hartwell, S.R., Endris, C.A., and Watt, J.T. (2014). Backscatter C (7125): Offshore of Bolinas, California, 2010. California State Waters Map Series Data Catalog: U.S. Geological Survey Data Series 781. Available at: http://purl.stanford.edu/zy254qx0409. None This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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