Curry County, 2024 NAIP NC Ortho Mosaic

Metadata from the RGIS Metadata Repository

Identification Information

Title Curry County, 2024 NAIP NC Ortho Mosaic
Date 2025-03-31
Date Type Publication
Cited Responsible Party
Organization Name United States Department of Agriculture, Farm Production and Conservation Business Center, Geospatial Enterprise Operations (FPAC-BC-GEO
Role identify
Presentation Form raster digital data
Abstract This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S.. A primary goal of the NAIP program is to enable availability of ortho imagery within one year of acquisition. The NAIP provides 60 centimeter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy within +/- 4 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from the National Agriculture Imagery Program (NAIP). The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 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. The target value for the compression ratio is 40:1 for imagery.
Purpose The NAIP imagery is typically 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 and 1/2 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 used for disaster response often providing the most current pre-event imagery.
Status Complete
Point of Contact
Individual Name
Organization Name United States Department of Agriculture, Farm Production and Conservation Business Center, Geospatial Enterprise Operations (FPAC-BC-GEO)
Position Name
Role Point of contact
Voice 801-844-2922
Facsimile 801-956-3653
Address
Delivery Point 125 S. State St. Suite 6416
City Salt Lake City
Administrative Area Utah
Postal Code 84138
Country USA
Electronic Mail Address apfo.sales@slc.usda.gov
Maintenance and Update Frequency Irregular
Descriptive Keywords imageryBaseMapsEarthCover, farming, Digital Ortho rectified Image, Mosaic, Quarter Quadrangle, Ortho Rectification, Compression, MrSID, JPEG 2000, NAIP, Compliance, Aerial Compliance
Access Constraints There are no limitations for access.
Use Constraints Access Constraints: There are no limitations for access. Use Constraints: None, The United States Department of Agriculture, Farm Production and Conservation Business Center, Geospatial Enterprise Operations (FPAC-BC-GEO) asks to be credited in derived products. If defects are found in the NAIP imagery during the 1 year warranty period such as horizontal offsets, replacement imagery may be provided. Imagery containing defects that require the acquisition of new imagery, such as excessive cloud cover, specular reflectance, etc., will not be replaced within a NAIP project year. Distribution Liability: 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).
Language English
Topic Category
Extent
Geographic Bounding Box
West Bound -103.747178
East Bound -102.999136
North Bound 35.010946
South Bound 34.23908
Temporal Extent
DateTime 2022-05-21
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Distribution Information

Distributor
Individual Name
Organization Name Earth Data Analysis Center
Position Name Clearinghouse Manager
Role Point of contact
Voice 505-277-3622 ext. 230
Facsimile 505-277-3614
Address
Delivery Point MSC01 1110
Delivery Point 1 University of New Mexico
City Albuquerque
Administrative Area NM
Postal Code 87131-0001
Country USA
Electronic Mail Address clearinghouse@edac.unm.edu
Transfer Options
Online Resource Multi-resolution Seamless Image Database (MrSID)
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Spatial Reference Information

Spatial References
Spatial Reference NAD83 UTM zone 13N
Online Reference EPSG:4269
Spatial Reference GRS 1980
Online Reference EPSG:7019
Spatial Reference Universal Transverse Mercator, 13
Online Reference EPSG:26913
Indirect Spatial Reference New Mexico
Row Count
Column Count
Vertical Count
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Data Quality Information

Attribute Accuracy Report
Report Unknown
Quantitative Attribute Accuracy Assessment
Attribute Accuracy Value
Attribute Accuracy Explanation
Horizontal Positional Accuracy Report
Report FSA Digital Orthophoto Specs.
Quantitative Horizontal Positional Accuracy Assessment
Horizontal Positional Accuracy Value
Horizontal Positional Accuracy Explanation
Vertical Positional Accuracy Report
Report N/A 2d only
Quantitative Vertical Positional Accuracy Assessment
Vertical Positional Accuracy Value
Vertical Positional Accuracy Explanation
Logical Consistency Report NAIP 3.75 minute tile file names are based on the USGS quadrangle naming convention.
Completeness Report None
Lineage
Process Step
Process Description Flight planning was performed in Leica MissionPro over a buffered boundary covering DOQQ extents provided by the USDA. A 500m reduced resolution DEM file was used to determine ground heights. A targeted flight altitude of approximately 16,000 feet above ground level for acquisition with sidelap of 27% was used for flight planning parameters. Five Cessna Conquests and a Cessna 414 were utilized for acquisition, the seamline shapefile clarifies which aircraft were used for a given area. All aircraft were equipped with Leica ADS100 systems for data capture. The Leica ADS100 pushbroom sensor has been calibrated by the manufacturer as well as validated against a local calibration range. The calibration includes measuring the radiometric and geometric properties of the camera. These data are used in the Post Processing Software to eliminate the radiometric and geometric distortion. All aerial imagery was collected with associated GPS/IMU data. ADS collection requires high quality IMU data for processing and was critical for early access hosting of digital data to the web for USDA interim access and review. After post processing was complete, all imagery was triangulated using Leica XPro in which the airborne GPS data was constrained to expected limits. To validate the accuracy of the block adjustment derived from GPS/IMU, sensor parameters and conjugate point measurements, 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. 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. 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. 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. Surdex Grouping Tool provides real-time updates of the USDA GEO Image Metrics. The image technician adjusts image correction parameters to bring the radiometric characteristics of large groups of images within the Image Metrics ranges. For each project area the highest resolution DEM or LiDAR was obtained and utilized for rectification of captured imagery. A visual inspection of the final DEM using color cycled classification by elevation and a shaded relief was performed to check for gaps, corruption and gross errors. 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 DEM required patching from an alternate perspective or strip of photography. Processing hardware used included various brands of survey grade GPS receivers, various brands and models of computers, calibrated monitors and various brands of monitor calibration colorimeters. Leica XPro was used for post processing of ADS pushbroom data, triangulation and orthorectification. SURDEX software was used to color correct and remove bidirectional reflectance, vignetting and other illumination trends. USDA GEO Image Metrics are measured and images corrected to conform to the Image Metrics using SURDEX software. GPS/IMU data was reduced to projected coordinates in the appropriate UTM zone using Inertial Explorer software from Novatel. Aerial Triangulation and orthorectification was performed using Leica XPro. SURDEX software was used to adjust 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 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 10.0.0.5011 was used to create the CCM image file. 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. 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 GEO Image Metrics ranges due to land cover. The goal is to have the state as a whole meet the Image Metrics. All products are reviewed by independent personnel prior to delivery. The delivery is checked for omissions, commissions, naming, formatting, specification compliance and data integrity.
Process Date 2022-09-29
Process Time
Process Contact
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Metadata Reference Information

File Identifier eebd9635-f8d8-4c40-b77e-95a22e34b0ae
Metadata Language English
Hierarchy Level Dataset
Date Stamp 2025-07-11
Metadata Standard Name ISO 19115:2003
Metadata Standard Version 1.0
Metadata Contact
Individual Name
Organization Name Earth Data Analysis Center
Position Name Clearinghouse Manager
Role Point of contact
Voice 505-277-3622 ext. 230
Facsimile 505-277-3614
Address
Delivery Point MSC01 1110
Delivery Point 1 University of New Mexico
City Albuquerque
Administrative Area NM
Postal Code 87131-0001
Country USA
Electronic Mail Address clearinghouse@edac.unm.edu
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