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NAIP Imagery Wisconsin, 2017

Identification Information

Citation
Title
NAIP Imagery Wisconsin, 2017
Originator
U.S. Department of Agriculture
Publisher
USDA_FSA_APFO Aerial Photography Field Office
Publication Date
2017-11-22
Edition
2017
Collection Title
Statewide, Aerial Imagery
Abstract
2017 NAIP imagery for Wisconsin has a 1-meter spatial resolution. There are DOQQ tiles as well as county mosaics (MrSID format) available. Coordinate systems are reflected in the individual dataset titles. [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 two main products: 1 meter or 60cm GSD ortho imagery rectified within +/- 4 meters to true ground. 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 covers 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 15:1 for the 1 meter imagery and 60:1 for the 60cm 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 60cm 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.
Supplemental Information
2017 NAIP imagery for Wisconsin is 1 meter resolution. There are DOQQ tiles as well as county mosaics (MrSID format) available. Coordinate systems are reflected in the individual dataset titles.
Temporal Extent
Time Instant
2017-11-22T00:00:00
Bounding Box
West
-92.955616
East
-86.666103
North
47.08304
South
42.456895
ISO Topic Category
imageryBaseMapsEarthCover
Place Keyword
Wisconsin
Place Keyword Thesaurus
Geographic Names Information System
Theme Keyword
Orthophotography
Aerial Imagery
National Agricultural Imagery Program
Theme Keyword Thesaurus
Theme Keyword
Raster
Theme Keyword Thesaurus
FGDC
Resource Constraints
Use Limitation
None, The USDA-FSA Aerial Photography Field Office 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.
Legal Constraints
Use Limitation
[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).]
Other Restrictions
There are no limitations for access.
Status
completed
Maintenance and Update Frequency
irregular
Language
eng
Credit
U.S. Department of Agriculture
Point of Contact
Contact
USDA-FSA Aerial Photography Field Office
Delivery Point
2222 West 2300 South
City
Salt Lake City
Administrative Area
Utah
Postal Code
84119-2020
Country
US
Email
apfo.sales@slc.usda.gov
Phone
801-844-2922

Spatial Reference Information

Reference System Identifier
Code
Code Space
Version

Data Quality Information

Absolute External Positional Accuracy
Absolute External Positional Accuracy
Lineage
Process Step
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 APFO 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 APFO 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 9.1.0.3981 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 APFO 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
2017-11-22T00:00:00
Source
Title
Publication Date
2017-11-22
Originator
USDA-FSA Aerial Photography Field Office
Description
Compressed County Mosaic(s), natural color

Distribution Information

Format Name
MrSID compressed image or DOQQ tile
Format Version
Distributor
University of Wisconsin-Madison
Distributor
USDA-FSA Aerial Photography Field Office
Online Access
http://www.wisconsinview.org/
Protocol
WWW:DOWNLOAD-1.0-ftp—download
Name
WisconsinView.org
Function
download

Spatial Representation Information

Raster
Number of Dimensions
2
Cell Geometry Type
area

Metadata Reference Information

Hierarchy Level
dataset
Metadata File Identifier
36E30AB6-BDFA-44A3-93E7-C1722976D7A9
Metadata Date Stamp
2019-12-18
Metadata Standard Name
ISO 19139 Geographic Information - Metadata - Implementation Specification
Metadata Standard Version
2007
Character Set
utf8
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