62 datasets found
  1. d

    Forest Connectivity in Pictured Rocks National Lakeshore in the Upper...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery [Dataset]. https://catalog.data.gov/dataset/forest-connectivity-in-pictured-rocks-national-lakeshore-in-the-upper-peninsula-of-michiga-36600
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Upper Peninsula of Michigan, Michigan, Pictured Rocks
    Description

    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.

  2. u

    Aerial Photographs of the KBS LTER and Environs at the Kellogg Biological...

    • agdatacommons.nal.usda.gov
    • search.dataone.org
    • +1more
    bin
    Updated Nov 30, 2023
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    G Robertson (2023). Aerial Photographs of the KBS LTER and Environs at the Kellogg Biological Station, Hickory Corners, MI (1938 to 2012) [Dataset]. http://doi.org/10.6073/pasta/64fa5295daa62ed825b3010c9ca78a8d
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    KBS LTER
    Authors
    G Robertson
    License

    https://rightsstatements.org/vocab/UND/1.0/https://rightsstatements.org/vocab/UND/1.0/

    Area covered
    Hickory Corners, Michigan
    Description

    Aerial photography is considered an important management tool in agriculture. Aerial photography allows researchers to detect spatial variability and understand the causes of the variability such as planter skips, drought stress, weeds and water erosion. In agricultural research it allows researchers to differentiate healthy vegetation from unhealthy and access plant biomass and moisture levels. The photographs are also useful to document trends and changes in the landscape. original data source http://lter.kbs.msu.edu/datasets/44 Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-kbs&identifier=41 Webpage with information and links to data files for download

  3. a

    Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU)

    • mbgna-umich.hub.arcgis.com
    Updated Feb 15, 2023
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    University of Michigan (2023). Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU) [Dataset]. https://mbgna-umich.hub.arcgis.com/maps/e8f97d33e0bf4554b2690708101f9c02
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    Dataset updated
    Feb 15, 2023
    Dataset authored and provided by
    University of Michigan
    Area covered
    Description

    Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU). The source of this image is Michigan State University.

  4. D

    Aerial Photo Viewer

    • detroitdata.org
    Updated Oct 24, 2024
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    Oakland County, Michigan (2024). Aerial Photo Viewer [Dataset]. https://detroitdata.org/dataset/aerial-photo-viewer1
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Oct 24, 2024
    Dataset provided by
    Oakland County, Michigan
    Description

    Oakland County has utilized Aerial Photographs for mapping purposes for decades. By comparing photographs taken at different times, county cartographers can create accurate and detailed maps of ever-changing features on the Earth’s surface. The process of comparing different aerial photographs and determining accurate measurements is called photogrammetry. Maps created by using aerial photographs are called orthophoto maps. Take a trip back to 1940 and explore our County 70 years ago, or “live in the now” and check out our super-detailed 3-inch resolution 2023 imagery!

    Line of Aerial Images

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

  5. d

    Annotations of avian objects in aerial imagery over Lake Michigan and Cape...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Annotations of avian objects in aerial imagery over Lake Michigan and Cape Cod [Dataset]. https://catalog.data.gov/dataset/annotations-of-avian-objects-in-aerial-imagery-over-lake-michigan-and-cape-cod
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Lake Michigan, Cape Cod, Michigan
    Description

    This dataset is a collection of species identification values that pair with cropped images of avian targets.

  6. b

    TC/CIR Ortho Image Service: Oakland County, Michigan, 2010

    • geo.btaa.org
    Updated Mar 12, 2021
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    Oakland County, Michigan (2021). TC/CIR Ortho Image Service: Oakland County, Michigan, 2010 [Dataset]. https://geo.btaa.org/catalog/d7a4b37603ff45a59e00873c5e2f7d97
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    Dataset updated
    Mar 12, 2021
    Authors
    Oakland County, Michigan
    Time period covered
    2010
    Area covered
    Oakland County, Michigan
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THETERMS OF USE.The project consisted of color digital aerial imagery acquisition and color digital orthophoto production at 0.5-foot ground sample distance (GSD) for Oakland County (approximately 907 square miles). The aerial photography plan and the 2, 500 foot x 2, 500 foot digital orthophoto tiles were based on the SEMCOG approved Tile system, based upon the State Plane Grid. In the Spring of 2010, Southeast Michigan Council of Government (SEMCOG) obtained new orthoimagery for all seven of the membership counties - Livingston, Macomb, Monroe, Oakland, Washtenaw, Wayne, and St. Clair.

  7. b

    TC Ortho Image Service: Oakland County, Michigan, 2012

    • geo.btaa.org
    Updated Mar 12, 2021
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    Oakland County, Michigan (2021). TC Ortho Image Service: Oakland County, Michigan, 2012 [Dataset]. https://geo.btaa.org/catalog/a8924e8a05ab44178da471828b9088ed
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    Dataset updated
    Mar 12, 2021
    Authors
    Oakland County, Michigan
    Time period covered
    2012
    Area covered
    Oakland County, Michigan
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THETERMS OF USE.Under contract with the State of Michigan, Vexcel was contracted to produce and deliver natural Color (RGB) orthophotos for numerous areas of interest in support of Michigan's Statewide Partnership Program. Areas of interest were defined by the State. All aerial imagery was acquired using ADS direct digital sensors at an altitude sufficient for the production of digital orthophotos with a 1.0-foot or .5-foot pixel resolution as requested. Following acquisition of imagery data, survey ground control coordinates were used in-conjunction with Airborne GPS and Inertial Measurement Unit (IMU) information to establish precise spatial positioning of the image data through the process of Analytical Aero-Triangulation (AT). Upon completion of AT, the imagery was rectified to the best available digital elevation model (DEM), whether from the USGS, other high quality DEM provided by the participating government in GeoTIFF or other compatible format, or new ADS stereo imagery compiled and edited surface model using Pictovera software. The resultant rectified imagery was analyzed and radiometrically adjusted to provide the state with optimal color and tonal appearance. Manually-placed seamlines were generated to mosaic imagery from adjacent flightlines. Following mosaicking and color-balancing, multiple QA/QC processes were performed to insure optimal data quality was achieved prior to tiling the data to 5,000 by 5,000 pixel extents. All ortho tiles were clipped to an AOI shapefile (buffered to 400-meters) boundaries, as supplied by the State of Michigan. Final ortho tiles were delivered in the requested projection/units and in GeoTIFF format.

  8. a

    ESGR 1950 Aerial Package

    • esgr-umich.hub.arcgis.com
    Updated Sep 15, 2017
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    University of Michigan (2017). ESGR 1950 Aerial Package [Dataset]. https://esgr-umich.hub.arcgis.com/maps/umich::esgr-1950-aerial-package/about
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    Dataset updated
    Sep 15, 2017
    Dataset authored and provided by
    University of Michigan
    Area covered
    Description

    1950 Aerial Imagery obtained from SEMCOG in NAD83 State Plane Michigan South FIPS 2113 Feet. Original images were collected as hardcopy 9 x 9 contact prints. SEMCOG had them scanned in by a vendor several years ago. They are not orthorectified, and loosely align with the road network in Southeast Michigan. This is the earliest aerial imagery SEMCOG had available covering the area of interest. LSA IT GIS Consultants mosaicked the images and created a tile package. Source: Southeast Michigan Council of Governments (SEMCOG)

  9. d

    Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Forest Canopy Gaps in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery [Dataset]. https://catalog.data.gov/dataset/forest-canopy-gaps-in-pictured-rocks-national-lakeshore-in-the-upper-peninsula-of-michigan-2a1ee
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Upper Peninsula of Michigan, Pictured Rocks, Michigan
    Description

    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.

  10. 1980 Manitowoc County, WI NOAA Black & White 8 Bit Imagery

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 1980 Manitowoc County, WI NOAA Black & White 8 Bit Imagery [Dataset]. https://catalog.data.gov/dataset/1980-manitowoc-county-wi-noaa-black-white-8-bit-imagery2
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Manitowoc County, Wisconsin
    Description

    Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Bay-Lake Region Planning Commission (BLRPC). This imagery was captured in November 1980 by Aero-Metric Engineering, Inc. and archived by the BLRPC by Range/Township on mylar sheets at a scale of 1"=800'. Under contract to NOAA, Dewberry obtained the mylar sheets from BLRPC, scanned them at 600 DPI, and georeferenced the scanned images.

  11. 1980 Racine County, WI NOAA Black & White 8 Bit Imagery

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). 1980 Racine County, WI NOAA Black & White 8 Bit Imagery [Dataset]. https://catalog.data.gov/dataset/1980-racine-county-wi-noaa-black-white-8-bit-imagery2
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Racine County, Wisconsin
    Description

    Historic aerial imagery for the Great Lakes shoreline of Lake Michigan was provided by the Southeastern Wisconsin Regional Planning Commission (SEWRPC). This imagery was captured in April 1980 by Chicago Aerial Survey and archived by the SEWRPC on mylar sheets at a scale of 1"=400'. Under contract to NOAA, Dewberry obtained the mylar sheets from SEWRPC, scanned them at 600 DPI, and georeferenced the scanned images.

  12. D

    OC 2010 TC/CIR Ortho Image Service

    • detroitdata.org
    • data.ferndalemi.gov
    • +5more
    Updated May 18, 2021
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    Oakland County, Michigan (2021). OC 2010 TC/CIR Ortho Image Service [Dataset]. https://detroitdata.org/dataset/oc-2010-tc-cir-ortho-image-service1
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    May 18, 2021
    Dataset provided by
    Oakland County, Michigan
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.

    The project consisted of color digital aerial imagery acquisition and color digital orthophoto production at 0.5-foot ground sample distance (GSD) for Oakland County (approximately 907 square miles). The aerial photography plan and the 2, 500 foot x 2, 500 foot digital orthophoto tiles were based on the SEMCOG approved Tile system, based upon the State Plane Grid.

    In the Spring of 2010, Southeast Michigan Council of Government (SEMCOG) obtained new orthoimagery for all seven of the membership counties - Livingston, Macomb, Monroe, Oakland, Washtenaw, Wayne, and St. Clair.

  13. a

    AerialMosaic 2017 SP Dyn

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis.data.alaska.gov
    • +4more
    Updated Oct 16, 2021
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    Matanuska-Susitna Borough (2021). AerialMosaic 2017 SP Dyn [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/f1f99540f0234036827ca9bcc25f80da
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    Dataset updated
    Oct 16, 2021
    Dataset authored and provided by
    Matanuska-Susitna Borough
    Area covered
    Description

    Aerial imagery flown in 2017. 1-foot resolution for 1448 sq/mi and 1/2-foot resolution 362 sq/mi in the Matanuska-Susitna Borough in Alaska. Rendered Dyn in the Alaska State Plane Zone 4 Projection to support online application collections.

  14. w

    Aerial Photography and Imagery, Ortho-Corrected, National Agricultural...

    • data.wu.ac.at
    Updated Aug 19, 2017
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    NSGIC State | GIS Inventory (2017). Aerial Photography and Imagery, Ortho-Corrected, National Agricultural Inventory Program - Orthoimagery Statewide, Published in 2005, 1:24000 (1in=2000ft) scale, Michigan Office of Shared Solutions. [Dataset]. https://data.wu.ac.at/schema/data_gov/NDBkNGM5OGQtOWE4My00NmMxLTk3ZmYtNWQ3NmRkODg5OGI2
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    original metadata record from dataset providerAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC State | GIS Inventory
    Area covered
    d7c4480ec0cbcc20c4610e7b497484df5c8c6b6c
    Description

    Aerial Photography and Imagery, Ortho-Corrected dataset current as of 2005. National Agricultural Inventory Program - Orthoimagery Statewide.

  15. NACP Peatland Land Cover Map of Upper Peninsula, Michigan, 2007-2011

    • catalog.data.gov
    • gis.csiss.gmu.edu
    • +4more
    Updated Jun 2, 2025
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    ORNL_DAAC (2025). NACP Peatland Land Cover Map of Upper Peninsula, Michigan, 2007-2011 [Dataset]. https://catalog.data.gov/dataset/nacp-peatland-land-cover-map-of-upper-peninsula-michigan-2007-2011-5c2e2
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    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Oak Ridge National Laboratory Distributed Active Archive Center
    Area covered
    Upper Peninsula of Michigan, Michigan
    Description

    This dataset provides a land cover map focused on peatland ecosystems in the upper peninsula of Michigan. The map was produced at 12.5-m resolution using a multi-sensor fusion (optical and L-band SAR) approach with imagery from Landsat-5 TM and ALOS PALSAR collected between 2007 and 2011. A random forest classifier trained with polygons delineated from field data and aerial photography was used to determine pixel classes. Accuracy assessment based on field-sampled sites show high overall map accuracy (92%).

  16. D

    Sidewalks and Crosswalks

    • detroitdata.org
    Updated Feb 15, 2024
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    Southeast Michigan Council of Governments (SEMCOG) (2024). Sidewalks and Crosswalks [Dataset]. https://detroitdata.org/dataset/sidewalks-and-crosswalks
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    zip, arcgis geoservices rest api, kml, html, geojson, csvAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Southeast Michigan Council of Governments (SEMCOG)
    Description

    Created in 2019 by using aerial imagery. Originally created for the 2020 Bicycle and Mobility Plan for Southeast Michigan. Continuously updated by SEMCOG staff and uploaded to the open data portal quarterly.

  17. a

    Nichols Arboretum- Historical Aerial Imagery (1977)

    • mbgna-umich.hub.arcgis.com
    Updated May 19, 2023
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    University of Michigan (2023). Nichols Arboretum- Historical Aerial Imagery (1977) [Dataset]. https://mbgna-umich.hub.arcgis.com/maps/fcffc79cc18444f4a61837e3ffcea33c
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    Dataset updated
    May 19, 2023
    Dataset authored and provided by
    University of Michigan
    Area covered
    Description

    Nichols Arboretum- Historical Aerial Imagery (1977). This image was taken on April 11, 1977. The source of this image is unknown.

  18. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cf78108240c844a5be9868e7babab363/html
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  19. d

    Lake Erie, Western Basin Aquatic Vegetation

    • search.dataone.org
    • data.usgs.gov
    • +4more
    Updated Sep 7, 2017
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    Jenny Hanson (2017). Lake Erie, Western Basin Aquatic Vegetation [Dataset]. https://search.dataone.org/view/ed233111-aab4-4baa-bdf2-0cbcaa6b7aba
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    Dataset updated
    Sep 7, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jenny Hanson
    Time period covered
    Jan 1, 2005 - Jan 1, 2014
    Area covered
    Variables measured
    Acres, Hectares, Veg_Code
    Description

    Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.

  20. a

    OC 2008 TC/CIR Ortho Image Service

    • d3-portal-v2-d176b-d3.opendata.arcgis.com
    • accessoakland.oakgov.com
    • +4more
    Updated Mar 12, 2021
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    Oakland County, Michigan (2021). OC 2008 TC/CIR Ortho Image Service [Dataset]. https://d3-portal-v2-d176b-d3.opendata.arcgis.com/datasets/b1fba7f173ce453dbd7435feeb037213
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    Dataset updated
    Mar 12, 2021
    Dataset authored and provided by
    Oakland County, Michigan
    Area covered
    Description

    BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. Oakland County is included in the Southeast Michigan Regional Orthoimagery project encompassing approximately 3613 square miles of the Detroit metropolitan area and surrounding counties. Aerial imagery was collected using an Vexcel Ultracam digital sensor. The orthoimages are composed of 4-bands (RGB and near-infrared) and are tiled to a 1500 meter x 1500 meter grid. The orthoimagery is true color with a resolution of 0.3-meter per pixel. Orthoimagery tiles were delivered in Tiff format. A total of 1170 tiles that overlap Oakland County were adjusted by USGS to mimic State Plane (2113) International Feet using a custom Python Script. The adjustment was done tile-by-tile, so some 'no data' areas exist at the edges of the tiles. All imagery was taken in the spring of 2008.

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U.S. Geological Survey (2024). Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery [Dataset]. https://catalog.data.gov/dataset/forest-connectivity-in-pictured-rocks-national-lakeshore-in-the-upper-peninsula-of-michiga-36600

Forest Connectivity in Pictured Rocks National Lakeshore in the Upper Peninsula of Michigan, Derived from 2005 Aerial Imagery

Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
U.S. Geological Survey
Area covered
Upper Peninsula of Michigan, Michigan, Pictured Rocks
Description

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.

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