NAIP 2011

Identification Information

Citation Information

Originator

USDA-FSA Aerial Photography Field Office

Publication Date

20110902

Title

NAIP 2011

Geospatial Data Presentation Form

raster digital data

Publication Place

Augusta ME

Publisher

Maine Office of Geographic Information Systems (MEGIS)

Citation Information

Online Linkage	http://www.maine.gov/geolib/wms.htm

Abstract

This web mapping service (WMS) provides the 2009 NAIP data for the State of Maine in a single seamless mosaic. This WMS is provided by the Maine Office of GIS and the Maine GeoLibrary. 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 ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy within +/- 5 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from the National Agriculture Imagery Program (NAIP); 1 meter GSD ortho imagery rectified within +/- 6 meters to true ground. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 meter 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 is (15:1).

Purpose

The NAIP imagery is available for distribution within60 days of the end of a flying season and is intendedto provide current information of agricultural conditionsin support of USDA farm programs. For USDA Farm ServiceAgency, the 1 meter GSD product provides an ortho imagebase for Common Land Unit boundaries and other data sets.The NAIP imagery is generally acquired in projectscovering full states in cooperation with stategovernment and other federal agencies who use theimagery for a variety of purposes including land useplanning and natural resource assessment. The NAIP isalso used for disaster response often providing the mostcurrent pre-event imagery.

Time Period of Content

Calendar Date	2011
Currentness Reference	Photography Source Image Dates.

Status

Progress	Complete
Maintenance and Update Frequency	Irregular

Bounding Coordinates

West Bounding Coordinate	-71.022440
East Bounding Coordinate	-70.295480
North Bounding Coordinate	43.884508
South Bounding Coordinate	42.928137

Keywords

Theme	farming, Digital Ortho rectified Image, Mosaic, Quarter Quadrangle Centered, Ortho Rectification, Compression, MrSID, JPEG 2000, NAIP, Compliance, Aerial Compliance (None)
Place	ME, YORK ME, 23031, ME (Geographic Names Information System)

Access Constraints

None

Use Constraints

None, The USDA-FSA Aerial Photography Field Office asks tobe credited in derived products.If defects are found in the NAIP imagery during the warrantyperiod such as horizontal offsets, replacement imagery may beprovided. Imagery containing defects that require theacquisition of new imagery, such as excessive cloud cover,specular reflectance, etc., will not be replaced within aNAIP project year.

Contact Organization

USDA-FSA Aerial Photography Field Office

Address Type

mailing and physical address

Address

2222 West 2300 South

City

Salt Lake City

State or Province

Utah

Postal Code

84119-2020

Country

USA

Contact Voice Telephone

801-844-2922

Contact Facsimile Telephone

801-956-3653

Browse Graphic File Name

None

Browse Graphic File Description

None

Browse Graphic File Type

None

Native Data Set Environment

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.6.1500

Logical Consistency Report

NAIP 3.75 minute tile file names are basedon the USGS quadrangle naming convention.

Completeness Report

None

Horizontal Positional Accuracy Report

FSA Digital Orthophoto Specifications.

Vertical Positional Accuracy Report

N/A 2d only

Citation Information

Originator	USDA-FSA Aerial Photography Field Office
Publication Date	20110902
Title	YORK, ME

Source Scale Denominator

12000

Type of Source Media

CD/DVD

Calendar Date

2011

Source Currentness Reference

Majority Aerial Photography Date

Source Citation Abbreviation

MrSID / JPEG2000 compressed image.

Source Contribution

Mosaicked County Image

Process Description

The imagery was collected using ADS40-SH51 and ADS40-SH52 digital sensors.Collection was performed using a combination of twin-engine aircraft flyingat 17,500 or 27,000 ft above mean terrain with 25% sidelap,giving the collected data nominal ground sampling distance of 0.7 meters.Based-upon the CCD Array configuration present in the ADS40 digital sensor,imagery for each flight line is 12,000-pixels in width. Red, Green, Blue,Near-Infrared and Panchromatic image bands were collected.Collected data was downloaded to portable hard drives and shipped to the processingfacility daily. Raw flight data was extracted from external data drives using GProsoftware. Airborne GPS / IMU data was post-processed using IPAS, PosPac and/or TerraPossoftware and reviewed to ensure sufficient accuracy for project requirements.Using Pictovera software, planar rectified images were generated from the collected datafor use in image quality review. The planar rectified images were generated at five meterresolution using a two standard deviation histogram stretch. Factors considered duringthis review included but were not limited to the presence of smoke and/or cloud cover,contrails, light conditions, sun glint and any sensor or hardware-related issues thatpotentially could result in faulty data. When necessary, image strips identified as notmeeting image quality specifications were re-flown to obtain suitable imagery.Aerotriangulation blocks were defined primarily by order of acquisition and consisted offour to seventeen strips. Image tie points providing the observations for the leastsquares bundle adjustment were selected from the images using an autocorrelation algorithm.Photogrammetric control points consisted of photo identifiable control points, collectedusing GPS field survey techniques. The control points were loaded in to a softcopy workstationand measured in the acquired image strips. A least squares bundle adjustment of image passpoints, control points and the ABGPS was performed to develop an aerotriangulation solutionfor each block using Pictovera software. Upon final bundle adjustment, the triangulated stripswere ortho-rectified to the USGS NED DEM for the project area. A combination of 10-Meterand 30-Meter NED data purchased from USGS in 2005 was used for rectification. The imageswere re-sampled from the raw resolution of 0.7 meters to the required resolution of 1.0 meters.Positional accuracy was reviewed in the rectified imagery by visually verifying the horizontalpositioning of the known photo-identifiable survey locations using ArcGIS software.The red, green, and blue bands were combined to generate a final ortho-rectified image strip.The ADS40 sensor collects twelve bit image data which requires radiometric adjustment for outputin standard eight bit image channels. The ortho-rectified image strips were produced with thefull 12 bit data range, allowing radiometric adjustment to 8 bit range to be performed on a stripby strip basis during the final mosaicking steps.The imagery was mosaicked using manual seamline generation in Orthovista Seam Editor (OVSE).The 12 bit data range was adjusted for display in standard eight bit image channels by defininga piecewise histogram stretch using OrthoVista software. A constant stretch was defined foreach image collection period, and then strip by strip adjustments were made as needed to accountfor changes in sun angle and azimuth during the collection period. Strip adjustments were alsomade to match the strips histograms as closely as possible to APFO specified histogram metrics andcolor balance requirements. Automated balancing algorithms were applied to account for bi-directionalreflectance as a final step before the conversion to 8 bit data range.APFO specified DOQQs were extracted from the final mosaic in GeoTIFF format. 4-Band DOQQs wereproduced and 3-Band RGB CCMs were created. DOQQs corresponding to an individual CCM werereviewed for overall color balance within the CCM. Local corrections were made where necessaryto ensure uniformity within the CCM. In the case of DOQQs occurring in more than one CCM,a separate version of the image was generated and balanced for each CCM it occurred in.The color balanced DOQQs were then compressed to MrSID Generation 3 format at 15:1 compression ratioto create a composite CCM.

Process Date

20110902

Process Description

Metadata imported.

Source Used Citation Abbreviation

C:\DOCUME~1\DAVID~1.KIR\LOCALS~1\Temp\xml336.tmp

Process Date

20120103

Process Time

10050600

Indirect Spatial Reference

Direct Spatial Reference Method

Raster

Raster Object Type

Pixel

Row Count

105129

Column Count

56792

Vertical Count

Grid Coordinate System Name

Universal Transverse Mercator

UTM Zone Number

Scale Factor at Central Meridian

0.999600

Longitude of Central Meridian

-69.000000

Latitude of Projection Origin

0.000000

False Easting

500000.000000

False Northing

0.000000

Planar Coordinate Encoding Method

row and column

Abscissa Resolution

1.000000

Ordinate Resolution

1.000000

Planar Distance Units

meters

Horizontal Datum Name

North American Datum of 1983

Ellipsoid Name

Geodetic Reference System 80

Semi-major Axis

6378137.000000

Denominator of Flattening Ratio

298.257222

Entity and Attribute Overview

24 bit pixels, 3 band color (RGB) represent brightness values 0-255.

Entity and Attribute Detail Citation

None

Entity and Attribute Overview

24 bit pixels, 3 band color (RGB) represent brightness values 0-255.

Entity and Attribute Detail Citation

None

Contact Organization

Maine Office of Geographic Information Systems

Contact Position

GIS Coordinator

Address Type

mailing address

Address

State House Station 174

City

Augusta

State or Province

Postal Code

04333-0174

Country

USA

Contact Voice Telephone

(207) 624-7700

Contact Facsimile Telephone

(207) 287-3842

Hours of Service

Monday through Friday 0800 - 1700 EST

Resource Description

Map Files

Distribution Liability

Users must assume responsibility to determine the usability of this data for their purposes.

Format Name

WMS

Format Version Number

1.1

Format Specification

OpenGIS (OGC) Web Map Service (WMS)

Network Resource Name

None

[accinstr]

The Maine Office of GIS and the GeoLibrary Board provide web mapping services to distribute aerial photos and other digital data. A WMS is not a web application which you can see in a web browser; rather, it requires you to add the service to a GIS software application.

Offline Option

Offline Media

DVD-R

Recording Format

ISO 9660

Offline Media

USB/Firewire/SATA External Hard Drive

Recording Format

NTFS

Fees

None

Ordering Instructions

http://www.maine.gov/geolib/wms.htm

Calendar Date

2011

Metadata Reference Information

Metadata Date

20110929

Metadata Contact

Contact Organization	USDA-FSA Aerial Photography Field Office
Contact Person	REQUIRED: The person responsible for the metadata information.
Address Type	mailing and physical address
Address	2222 West 2300 South
City	Salt Lake City
State or Province	Utah
Postal Code	84119-2020
Country	USA
Contact Voice Telephone	801-844-2922

Metadata Standard Name

FGDC Content Standards for Digital Geospatial Metadata

Metadata Standard Version

FGDC-STD-001-1998

Metadata Time Convention

local time

Online Linkage

http://www.esri.com/metadata/esriprof80.html

Profile Name

ESRI Metadata Profile