3001, Inc.
2008
3001 High Resolution Orthoimage USNG 16TES430555, Grand Marais MI AOI
remote-sensing image
Border Area Orthoimagery
Peachtree City, GA
3001, Inc.
An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. For this dataset, the natural color orthoimages were produced at 0.3-meter pixel resolution (approximately 1-foot). The design accuracy is estimated not to exceed 6 meter horizontal RMSE for locations within the United States. Each orthoimage provides imagery for a 1500-meter by 1500-meter block on the ground. The projected coordinate system is UTM with a NAD83 datum, spheroid GRS80. There is no image overlap between adjacent files. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage.
These data have been created as a result of the need for having geospatial data immediately available and easily accessible in order to provide geographic reference for federal, state, and local emergency responders, as well as for homeland security efforts. Orthoimages also serve a variety of purposes, from interim maps to field references for earth science investigations and analysis. The digital orthoimage is useful as a layer of a geographic information system. These data can be used to provide reference information for web browsers and for map applications at a scale of 1:100,000 or smaller.
20080831
ground condition
Irregular
-86.43907489
-86.41936477
46.56519017
46.55159401
None
digital spatial data
0.3 meter orthoimage
rectified image
orthophoto
natural color orthophoto
digital orthophoto image map (DOI)
orthoimage
image map
ISO 19115 Category
imageryBaseMapsEarthCover
U.S. Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions (Federal Information Processing Standard (FIPS) 10-4): Washington, D.C., National Institute of Standards and Technology.
United States
U.S.
US
CA
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 (FIPS) 5-2): Washington, D.C., National Institute of Standards and Technology.
MI
Geographic Names Information System
Grand Marais MI
None
AOI #029
None
OBP Sector Detroit
None
B029
Any downloading and use of these data signifies a users agreement to comprehension and compliance of the U.S. Government Standard Disclaimer. Insure all portions of metadata are read and clearly understood before using these data in order to protect both user and U.S. Government interests.
There is no guarantee of warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since this data set was collected and that some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. Acknowledgement of the originating agencies would be appreciated in products derived from these data. Any user who modifies the data is obligated to describe the types of modifications they perform. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Government.
3001, Inc.
None
Unclassified
N/A
Microsoft Windows XP, Service Pack 2; ESRI ArcMap 9.1
Sample points taken from overlapping areas of adjacent image frames along a single flight line and between strips along adjacent flight lines are typically consistent to the 2-3 pixel level. This not only ensures that a consistent mosaic can be created from the adjacent frames and image strips acquired with the DMC digital frame mapping system but also means that the images have good precision and as a group are spatially self-consistent.
Compliance with the accuracy standard was ensured by the use of photo identifiable ground control points and/or the collection of airborne GPS data.
Pixels outside the project boundary are represented with the numeric value of 0,0,0.
The accuracy value for locations within the United States was determined by measuring photo-identifiable control points collected with GPS survey methods in the orthophotos.
6.0
FGDC Geospatial Positioning Accuracy Standards, Part 3: National Standard for Spatial Data Accuracy (NSSDA)
3001, Inc.
2008
imagery
raster digital data
Border Area Orthoimagery
Peachtree City, GA
3001, Inc.
raster digital data
20080831
ground condition
imagery
Aerial imagery was captured with a Z/I Digital Mapping Camera.
Ground control consisted of photo identifiable surveyed points within the United States. The imagery was collected at an average altitude of 9843 ft above mean terrain (AMT) using a frame-based Z/I Imaging Digital Mapping Camera (DMC). Overlap between adjacent frames along the flight line was approximately 60% and overlap between adjacent flight lines was approximately 30%. Corrections for camera and airplane exterior orientation (EO) variations were made with input from a combination of ground-, plane-, and space-based survey inputs (e.g., ABGPS, IMU, CORS Stations, Base Stations). The DMC collects 12-bit image data per channel which are resampled during post processing to standard 8-bit image data. The reduction in dynamic range (from 4,096 to 256) is performed in a manner designed to capture the greatest amount of information in each image, and preserve bright and dark values. Image quality was verified during the post flight review phase. Factors considered during this review included but were not limited to the presence of smoke and/or cloud cover, contrails, light conditions and sun glint. Pan-sharpened red, green, blue, and NIR bands were combined to generate digital image frames. Geometric correction of mosaicked frames of land areas within and laterally contiguous to the United States was performed via aerial triangulation and orthorectification using a recent DSM of the area provided as GFI (SRTM2, DTED2, Intermap NEXTmap USA, Canada NED, Mexican Border Lidar), and supplemented with higher resolution DSM data where readily available. The vertical accuracy of the DSM varies based on the elevation postings of GFI products and requirements thereof. Color balancing was performed to reduce radiometric variability between frames, and seamlines were generated using both automated and manual methods. Project specified tiles of the red, green, and blue bands were extracted from the mosaic to produce a natural color digital orthophoto image map. Final image tiles were reviewed for artifacts and anomalies and adjusted as part of quality control procedures. When necessary, local corrections to the imagery were performed to minimize such effects.
20081114
Raster
Pixel
5000
5000
Universal Transverse Mercator
16
0.9996
-87.000000
+00.000000
500000.0
0
coordinate pair
0.3
0.3
meters
North American Datum of 1983
Geodetic Reference System 1980
6378137
298.2572221
Natural color orthoimagery is organized in three color bands or channels which represent the red, green, and blue (RGB) portions of the spectrum. Each image pixel is assigned a triplet of numeric values, one for each color band. Numeric values range from 0 to 255. Pixels outside the project boundary are represented with the numeric value of 0,0,0.
GeoTIFF
Rev. 1.0
N/A
75
20081124
None
None
local time
None
None
None
Unclassified
None