USDA-FSA Aerial Photography Field Office
20131103
ortho_1-1_1n_s_co019_2013_1
Salt Lake City, Utah
USDA FSA Aerial Photography Field Office
This data set contains imagery from the National
Agriculture Imagery Program (NAIP). The NAIP
acquires 4-band digital ortho imagery from airbourne
and/or space based platforms during the agricultural
growing seasons in the U.S.. A primary goal of the
NAIP program is to enable availability of ortho imagery
within sixty days of acquisition. The NAIP provides
1 meter GSD ortho imagery rectified within +/- 6 meters to
true ground at a 95% confidence level. The tiling format
of NAIP imagery is based on a 3.75' x 3.75' quarter
quadrangle with a 300 (plus or minus 30) pixel buffer
on all four sides. The NAIP imagery is formatted to
the UTM coordinate system using the North American
Datum of 1983 (NAD83). The NAIP imagery may contain
as much as 10% cloud cover per tile. This file was
generated by compressing NAIP imagery that cover the
county extent. Two types of compression may be used for
NAIP imagery: MrSID and JPEG 2000. Target value for the
compression ratio for 1 meter GSD is (15:1).
The NAIP imagery is available for distribution within
60 days of the end of a flying season and is intended
to provide current information of agricultural conditions
in support of USDA farm programs. For USDA Farm Service
Agency, the 1 meter GSD product provides an ortho image
base for Common Land Unit boundaries and other data sets.
The NAIP imagery is generally acquired in projects
covering full states in cooperation with state
government and other federal agencies who use the
imagery for a variety of purposes including land use
planning and natural resource assessment. The NAIP is
also often used for disaster response.
20131103
Photography Source Image Dates.
Irregular
-105.941896
-105.371141
39.878113
39.559317
None
farming
Digital Ortho rectified Image
Mosaic
Quarter Quadrangle Centered
Ortho Rectification
Compression
MrSID
JPEG 2000
NAIP
Compliance
Aerial Compliance
Geographic Names Information System
Clear Creek CO., CO FSA
FIPS 08019
Clear Creek
Colorado
None
None. The USDA-FSA Aerial Photography Field Office asks to
be credited in derived products.
USDA-FSA Aerial Photography Field Office
mailing and physical address
2222 West 2300 South
Salt Lake City
Utah
84119-2020
USA
801-844-2922
801-956-3653
withheld
None
None
NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.
None
Compiled to meet 6 meters horizontal accuracy at 95 percent confidence level.
N/A 2d only
USDA-FSA Aerial Photography Field Office
20131103
Clear Creek CO, CO
12000
External media types
20131103
Majority Aerial Photography Date
NAIP
Mosaicked County Image
Flight planning was performed in IGIPlan from IGI over a
buffered boundary covering DOQQ extents provided by the USDA. A
500m reduced resolution NED DEM file was used to determine ground heights.
A targeted flight altitude of approximately 32,000 feet above
ground level was used and 60% forward overlap was planned for use of
stereo imagery as necessary and sidelap varies between 15-30%
depending on terrain. No ground elevation in the project area
resulted in source pixel dimensions greater than 1.05m or less than
0.5m. Cessna Conquest aircraft were used for acquisition. Multiple Intergraph Digital
Mapping Camera (DMC) systems where utilized in the data capture. The DMC is a
digital frame camera that produces a central perspective image with a nominal
focal length of 120mm projecting an image on a virtual CCD measuring 13,824 by
7,680 pixels. The pixels are 12um by 12 um. Images from four panchromatic cameras
modules, each with a 120mm lens projecting an image on a 7,168 by 4,096 CCD,
are assembled to create the virtual frame. Images captured simultaneously from
four 3,072 by 2,048 pixel multispectral (MS) cameras with 30mm lenses produce red,
green, blue and near infrared images. These MS images are matched to the Pan
virtual image using the Post Processing Software from Intergraph. All DMC systems
used for capture have been calibrated by the manufacturer. The calibration includes
measuring the radiometric and geometric properties of each camera. These data are
used in the Post Processing Software to eliminate the radiometric and geometric
distortion. The raw captured pixel resolution of the panchromatic virtual frame
ranges from 0.60m to 1.04m across the project area depending on terrain height.
Each pixel is assigned a 12 bit digital number (DN) by the analog to digital
conversion performed after each exposure. Each pixel is resampled during
orthorectification to an output resolution of 1m at a bit depth of 8 for each image
band. Four bands of data were captured for each image; Blue: 400-580 nm, Green:
500-650 nm, Red: 590-675 nm and Near infrared: 675-850 nm. The final product may
only include the RGB data. All aerial imagery was collected with associated GPS
data. When possible most imagery will also include IMU data collection.
GPS/IMU data was captured with IGI AEROControl. The GPS data was utilized to control
the aerial triangulation process. Except for early access web delivery in OK, all imagery was
processed through an aerial triangulation in which the airborne GPS data was
constrained to expected limits. Analysis was performed to assure that all image
frames fit within a strip and between strips by evaluating the image and airborne
GPS residuals. The final adjustments assure a high quality relative adjustment
and a high quality absolute adjustment limited to the airborne GPS data accuracy.
This process assures the final absolute accuracy of all geopositioned imagery. Both
signalized and photo identified ground control were used to QC and control the IMU/GPS
based aerial triangulation bundle block solution. For each project area the latest
NED was downloaded from the USGS National Map Seamless Server website in late Spring
2013. Thirty Meter NED was used in all cases, and preferred over the available
ten meter spacing to minimize image smearing and distortions that are exacerbated by a finer,
but not more accurate DEM. A visual inspection of the NED using color cycled
classification by elevation and a shaded relief was performed to check for gaps,
corruption and gross errors. When available the NED was compared to known higher
quality elevation sources to detect flaws. Between 20-60 construction points per
frame derived from conjugant image measurements performed during aerial triangulation
were projected to the NED. The predicted horizontal error for each point was added
as an attribute in the SURDEX enterprise database. An operator reviews ortho seams
in areas these predicted errors indicate horizontal error in excess of the contract
specifications. Any imagery errors introduced by source NED required patching from
an alternate DEM or frame of photography with a different perspective. Hardware used
included the DMC, various brands of survey grade GPS receivers, various
brands and models of computers, RAID5/6 storage, calibrated monitors,
various brands of monitor calibration colorimeters. Software included Intergraph Post
Processing Software (PPS) to handle camera raw images processed to virtual frame panchromatic
images and four band multispectral images. SURDEX software was used to color correct and
remove bidirectional reflectance, vignetting and other illumination trends. USDA APFO
Image Metrics are measured and images corrected to conform to the Image Metrics using
SURDEX software. SURDEX software was then used to fuse the high resolution pan with the
lower resolution multispectral image. This image was upsampled to match the pan resolution
using bilinear interpolation and converted to a high resolution image via the Brovey
Transform. GPS/IMU data was reduced to projected coordinates in the appropriate UTM zone
using the IGI office software. Aerial Triangulation was performed using Intergraph
ImageStation Automatic Triangulation (ISAT), ImageStation Digital Mensuration
(ISDM) and Photo-T bundle adjustment. SURDEX software was used to determine the weak points
in the AT construction point distribution. SURDEX software was used to orthorectify the images.
SURDEX software was used to compare overlapping orthoimages and correct for minor radiometric
variation between adjacent images. SURDEX software was used to calculate the optimal seam path,
check seam topology and create master tiles. SURDEX ortho software generates occlusion/smear
polygons used during seam review to cut in the best view of steep terrain. SURDEX software
was used to visually inspect master tiles for seam and image defects. SURDEX software was
used to project and cut final DOQQ image files from masters. SURDEX software was used to
create CCM metadata. Lizardtech GeoExpress version 8.0.0.3065 was used to create the CCM image
file. SURDEX software was used to measure horizontal error in the CCM. SURDEX software was
used to perform final formatting, QC and naming of the DOQQ. USGS metadata parser software was
used to validate the metadata. Various versions of Microsoft Windows were used in all phases of
production. For Radiometry, SURDEX Grouping Tool was used to display large groups of images,
display individual and group histograms, and develop color correction parameters to adjust image DN.
Grouping Tool provides real-time updates of the USDA APFO Image Metrics. The image technician
adjusts image correction parameters to bring the radiometric characteristics of large groups of raw images
within the Image Metrics ranges. Grouping Tool was used again after DOQQ and CCM production to
provide a quality assurance check. Individual DOQQ and CCM may not meet the USDA APFO Image
Metrics ranges due to land cover. The goal is to have the state as a whole meet the Image
Metrics. To validate the accuracy of the block adjustment derived from GPS/IMU, camera parameters
and conjugate point measurements, approximately 30-40 photo identifiable ground control
points were field surveyed within each State. These points were surveyed using GPS
techniques to produce coordinates that are accurate to +/- 0.25 meters RMSE in XYZ.
The GPS surveying techniques utilized assured that the coordinates are derived in the
required project datum and relative to an approved National Reference System. Each derived
control point was surveyed in a static fashion with a minimum of three NGS CORS sites.
A constrained least square adjustment was performed holding the CORS sites as control
and deriving the final coordinates of the photo identifiable points. The photo identifiable
control points were measured on multiple photographs but not constrained in the final AT
solution in order for them to be used in an independent final QC of positional accuracy.
After the checkpoint run, the residual errors were reviewed to determine the quality
of the solution with only GPS and IMU based initial exterior orientation.
If the block does not fit the control points within specifications the pass and tie
points were reviewed for blunders and weak areas. If, after these corrections
were made, the block still does not fit the control well the GPS and IMU processing were
reviewed. Once the block has proper statistics and fits the control to specifications, the
final bundle adjustment was made. SURDEX software was used to predict the horizontal error
that results from DEM error using AT construction points projected to the NED ground
elevation. As AT points are frequently on man-made and other vertical features not included
in the DEM, these ortho points can only be used to indicate regions of error by the
clusters of points that predict excessive horizontal displacement. SURDEX software was
used to measure a minimum of 20 points on the new CCM and an alternate product obtained
from the USDA Data Gateway to determine if there were regions of the CCM required
further review to ensure absolute accuracy specifications were met.
If these areas were found, the source of the error was corrected and the DOQQ and CCM were
recreated. All products are reviewed by independent personnel prior to delivery. The
delivery is checked for omissions, commissions, naming, formatting, specification compliance
and data integrity.
20131103
Clear Creek CO, Colorado
Raster
Pixel
35773
49182
3.280833
3.280833
8
1
Upper Left
FALSE
LZ77
3
pixel codes
SDR
TRUE
row and column
1.0
1.0
meters
North American Datum of 1983
Geodetic Reference System 80
6378137
298.257
24-bit pixels, 3 band color(RGB) values 0 - 255
None
Supervisor Customer Service Section
USDA-FSA Aerial Photography Field Office
mailing and physical address
2222 West 2300 South
Salt Lake City
Utah
84119-2020
USA
801-844-2922
801-956-3653
None
In no event shall the creators, custodians, or distributors
of this information be liable for any damages arising out
of its use (or the inability to use it).
Compressed County Mosaic
Natural Color
withheld
CD-ROM
ISO 9660
DVD-R
ISO 9660
USB/Firewire/SATA External Hard Drive
NTFS
Contact the USDA-FSA Aerial Photography Field Office
for more information.
20131103
USDA-FSA Aerial Photography Field Office
mailing and physical address
2222 West 2300 South
Salt Lake City
Utah
84119-2020
USA
801-844-2922
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
NAIP_13
2875260.354472
3036618.299472
1627914.658878
1745279.909711
1
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Colorado_Central_FIPS_0502_Ft_US
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS["NAD_1983_2011_StatePlane_Colorado_Central_FIPS_0502_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3000000.000316083],PARAMETER["False_Northing",999999.999996],PARAMETER["Central_Meridian",-105.5],PARAMETER["Standard_Parallel_1",38.45],PARAMETER["Standard_Parallel_2",39.75],PARAMETER["Latitude_Of_Origin",37.83333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["ESRI",103013]]</WKT><XOrigin>-118767900</XOrigin><YOrigin>-94525500</YOrigin><XYScale>36985113.707064793</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.00020000000000000001</ZTolerance><MTolerance>0.00020000000000000001</MTolerance><HighPrecision>true</HighPrecision><WKID>103013</WKID><LatestWKID>103013</LatestWKID></ProjectedCoordinateSystem>
8
FALSE
LZW
3
TIFF
TRUE
continuous
unsigned integer
256
20141211
16135700
20141211
16135700
1.0
50000
5000
USDA-FSA Aerial Photography Field Office
801-844-2922
2222 West 2300 South
Salt Lake City
Utah
84119-2020
US
20141211
ArcGIS Metadata
1.0
Supervisor Customer Service Section
USDA-FSA Aerial Photography Field Office
801-844-2922
801-956-3653
2222 West 2300 South
Salt Lake City
Utah
84119-2020
US
Contact the USDA-FSA Aerial Photography Field Office for more information.
Compressed County Mosaic
Natural Color
withheld
None
Raster Dataset
ortho_1-1_1n_s_co019_2013_1
2013-11-03
USDA-FSA Aerial Photography Field Office
USDA FSA Aerial Photography Field Office
Salt Lake City, Utah
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP acquires 4-band digital ortho imagery from airbourne and/or space based platforms during the agricultural growing seasons in the U.S.. A primary goal of the NAIP program is to enable availability of ortho imagery within sixty days of acquisition. The NAIP provides 1 meter GSD ortho imagery rectified within +/- 6 meters to true ground at a 95% confidence level. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 (plus or minus 30) pixel buffer on all four sides. The NAIP imagery is formatted to the UTM coordinate system using the North American Datum of 1983 (NAD83). The NAIP imagery may contain as much as 10% cloud cover per tile. This file was generated by compressing NAIP imagery that cover the county extent. Two types of compression may be used for NAIP imagery: MrSID and JPEG 2000. Target value for the compression ratio for 1 meter GSD is (15:1).
Historic Aerial Photography from NAIP.
USDA-FSA Aerial Photography Field Office
801-844-2922
801-956-3653
2222 West 2300 South
Salt Lake City
Utah
84119-2020
US
withheld
None
None
Colorado
FIPS 08019
Clear Creek
Clear Creek CO.
CO FSA
Geographic Names Information System
MrSID
Compliance
Mosaic
Ortho Rectification
Digital Ortho rectified Image
Aerial Compliance
Compression
JPEG 2000
NAIP
farming
Quarter Quadrangle Centered
Ortho Photography
NAIP
2013
In no event shall the creators, custodians, or distributors of this information be liable for any damages arising out of its use (or the inability to use it).
None. The USDA-FSA Aerial Photography Field Office asks to be credited in derived products.
Esri ArcGIS 10.2.2.3574
-105.941896
-105.371141
39.559317
39.878113
Photography Source Image Dates.
2013-11-03
1
-105.944444
-105.369529
39.879605
39.556575
NAIP 3.75 minute tile file names are based on the USGS quadrangle naming convention.
None
Compiled to meet 6 meters horizontal accuracy at 95 percent confidence level.
N/A 2d only
Flight planning was performed in IGIPlan from IGI over a buffered boundary covering DOQQ extents provided by the USDA. A 500m reduced resolution NED DEM file was used to determine ground heights. A targeted flight altitude of approximately 32,000 feet above ground level was used and 60% forward overlap was planned for use of stereo imagery as necessary and sidelap varies between 15-30% depending on terrain. No ground elevation in the project area resulted in source pixel dimensions greater than 1.05m or less than 0.5m. Cessna Conquest aircraft were used for acquisition. Multiple Intergraph Digital Mapping Camera (DMC) systems where utilized in the data capture. The DMC is a digital frame camera that produces a central perspective image with a nominal focal length of 120mm projecting an image on a virtual CCD measuring 13,824 by 7,680 pixels. The pixels are 12um by 12 um. Images from four panchromatic cameras modules, each with a 120mm lens projecting an image on a 7,168 by 4,096 CCD, are assembled to create the virtual frame. Images captured simultaneously from four 3,072 by 2,048 pixel multispectral (MS) cameras with 30mm lenses produce red, green, blue and near infrared images. These MS images are matched to the Pan virtual image using the Post Processing Software from Intergraph. All DMC systems used for capture have been calibrated by the manufacturer. The calibration includes measuring the radiometric and geometric properties of each camera. These data are used in the Post Processing Software to eliminate the radiometric and geometric distortion. The raw captured pixel resolution of the panchromatic virtual frame ranges from 0.60m to 1.04m across the project area depending on terrain height. Each pixel is assigned a 12 bit digital number (DN) by the analog to digital conversion performed after each exposure. Each pixel is resampled during orthorectification to an output resolution of 1m at a bit depth of 8 for each image band. Four bands of data were captured for each image; Blue: 400-580 nm, Green: 500-650 nm, Red: 590-675 nm and Near infrared: 675-850 nm. The final product may only include the RGB data. All aerial imagery was collected with associated GPS data. When possible most imagery will also include IMU data collection. GPS/IMU data was captured with IGI AEROControl. The GPS data was utilized to control the aerial triangulation process. Except for early access web delivery in OK, all imagery was processed through an aerial triangulation in which the airborne GPS data was constrained to expected limits. Analysis was performed to assure that all image frames fit within a strip and between strips by evaluating the image and airborne GPS residuals. The final adjustments assure a high quality relative adjustment and a high quality absolute adjustment limited to the airborne GPS data accuracy. This process assures the final absolute accuracy of all geopositioned imagery. Both signalized and photo identified ground control were used to QC and control the IMU/GPS based aerial triangulation bundle block solution. For each project area the latest NED was downloaded from the USGS National Map Seamless Server website in late Spring 2013. Thirty Meter NED was used in all cases, and preferred over the available ten meter spacing to minimize image smearing and distortions that are exacerbated by a finer, but not more accurate DEM. A visual inspection of the NED using color cycled classification by elevation and a shaded relief was performed to check for gaps, corruption and gross errors. When available the NED was compared to known higher quality elevation sources to detect flaws. Between 20-60 construction points per frame derived from conjugant image measurements performed during aerial triangulation were projected to the NED. The predicted horizontal error for each point was added as an attribute in the SURDEX enterprise database. An operator reviews ortho seams in areas these predicted errors indicate horizontal error in excess of the contract specifications. Any imagery errors introduced by source NED required patching from an alternate DEM or frame of photography with a different perspective. Hardware used included the DMC, various brands of survey grade GPS receivers, various brands and models of computers, RAID5/6 storage, calibrated monitors, various brands of monitor calibration colorimeters. Software included Intergraph Post Processing Software (PPS) to handle camera raw images processed to virtual frame panchromatic images and four band multispectral images. SURDEX software was used to color correct and remove bidirectional reflectance, vignetting and other illumination trends. USDA APFO Image Metrics are measured and images corrected to conform to the Image Metrics using SURDEX software. SURDEX software was then used to fuse the high resolution pan with the lower resolution multispectral image. This image was upsampled to match the pan resolution using bilinear interpolation and converted to a high resolution image via the Brovey Transform. GPS/IMU data was reduced to projected coordinates in the appropriate UTM zone using the IGI office software. Aerial Triangulation was performed using Intergraph ImageStation Automatic Triangulation (ISAT), ImageStation Digital Mensuration (ISDM) and Photo-T bundle adjustment. SURDEX software was used to determine the weak points in the AT construction point distribution. SURDEX software was used to orthorectify the images. SURDEX software was used to compare overlapping orthoimages and correct for minor radiometric variation between adjacent images. SURDEX software was used to calculate the optimal seam path, check seam topology and create master tiles. SURDEX ortho software generates occlusion/smear polygons used during seam review to cut in the best view of steep terrain. SURDEX software was used to visually inspect master tiles for seam and image defects. SURDEX software was used to project and cut final DOQQ image files from masters. SURDEX software was used to create CCM metadata. Lizardtech GeoExpress version 8.0.0.3065 was used to create the CCM image file. SURDEX software was used to measure horizontal error in the CCM. SURDEX software was used to perform final formatting, QC and naming of the DOQQ. USGS metadata parser software was used to validate the metadata. Various versions of Microsoft Windows were used in all phases of production. For Radiometry, SURDEX Grouping Tool was used to display large groups of images, display individual and group histograms, and develop color correction parameters to adjust image DN. Grouping Tool provides real-time updates of the USDA APFO Image Metrics. The image technician adjusts image correction parameters to bring the radiometric characteristics of large groups of raw images within the Image Metrics ranges. Grouping Tool was used again after DOQQ and CCM production to provide a quality assurance check. Individual DOQQ and CCM may not meet the USDA APFO Image Metrics ranges due to land cover. The goal is to have the state as a whole meet the Image Metrics. To validate the accuracy of the block adjustment derived from GPS/IMU, camera parameters and conjugate point measurements, approximately 30-40 photo identifiable ground control points were field surveyed within each State. These points were surveyed using GPS techniques to produce coordinates that are accurate to +/- 0.25 meters RMSE in XYZ. The GPS surveying techniques utilized assured that the coordinates are derived in the required project datum and relative to an approved National Reference System. Each derived control point was surveyed in a static fashion with a minimum of three NGS CORS sites. A constrained least square adjustment was performed holding the CORS sites as control and deriving the final coordinates of the photo identifiable points. The photo identifiable control points were measured on multiple photographs but not constrained in the final AT solution in order for them to be used in an independent final QC of positional accuracy. After the checkpoint run, the residual errors were reviewed to determine the quality of the solution with only GPS and IMU based initial exterior orientation. If the block does not fit the control points within specifications the pass and tie points were reviewed for blunders and weak areas. If, after these corrections were made, the block still does not fit the control well the GPS and IMU processing were reviewed. Once the block has proper statistics and fits the control to specifications, the final bundle adjustment was made. SURDEX software was used to predict the horizontal error that results from DEM error using AT construction points projected to the NED ground elevation. As AT points are frequently on man-made and other vertical features not included in the DEM, these ortho points can only be used to indicate regions of error by the clusters of points that predict excessive horizontal displacement. SURDEX software was used to measure a minimum of 20 points on the new CCM and an alternate product obtained from the USDA Data Gateway to determine if there were regions of the CCM required further review to ensure absolute accuracy specifications were met. If these areas were found, the source of the error was corrected and the DOQQ and CCM were recreated. All products are reviewed by independent personnel prior to delivery. The delivery is checked for omissions, commissions, naming, formatting, specification compliance and data integrity.
2013-11-03
Mosaicked County Image
12000
Clear Creek CO, CO
NAIP
2013-11-03
USDA-FSA Aerial Photography Field Office
Majority Aerial Photography Date
2013-11-03
2
1
0
2875260.354472 1627914.658878
2875260.354472 1745279.909711
3036618.299472 1745279.909711
3036618.299472 1627914.658878
2955939.326972 1686597.284295
49182
3.280833
35773
3.280833
Clear Creek CO, Colorado
1
0
2875260.354472 1627914.658878
2875260.354472 1745279.909711
3036618.299472 1745279.909711
3036618.299472 1627914.658878
2955939.326972 1686597.284295
49182
3.280833
35773
3.280833
original metadata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
dataset
ESRI
10.2.1
Band_1
255.000000
0.000000
8
Band_2
255.000000
0.000000
8
Band_3
255.000000
0.000000
8