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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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
Matthaei Botanical Gardens - Historical Aerial Imagery (1937, MSU). The source of this image is Michigan State University.
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!
BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.
This dataset is a collection of species identification values that pair with cropped images of avian targets.
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.
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.
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)
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.
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.
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.
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.
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.
Aerial Photography and Imagery, Ortho-Corrected dataset current as of 2005. National Agricultural Inventory Program - Orthoimagery Statewide.
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%).
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.
Nichols Arboretum- Historical Aerial Imagery (1977). This image was taken on April 11, 1977. The source of this image is unknown.
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
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.
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.
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.