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Short Citation:
OCM Partners, 2023: 2011 Vermont NAIP Digital Ortho Photo Imagery,

Item Identification

Title: 2011 Vermont NAIP Digital Ortho Photo Imagery
Short Name: 2011_vt_naip
Status: Completed
Publication Date: 2012-01-12

This data set contains imagery from the National Agriculture

Imagery Program (NAIP). 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

of ortho imagery within one year of acquisition. NAIP provides

four main products: 1 meter ground sample distance (GSD) ortho

imagery rectified to a horizontal accuracy of within +/- 5

meters of reference digital ortho quarter quads (DOQQ's) from

the National Digital Ortho Program (NDOP); 2 meter GSD

ortho imagery rectified to within +/- 10 meters of reference

DOQQs; 1 meter GSD ortho imagery rectified to within +/- 6

meters to true ground; and, 2 meter GSD ortho imagery rectified

to within +/- 10 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. NAIP quarter quads

are formatted to the UTM coordinate system using NAD83. NAIP

imagery may contain as much as 10% cloud cover per tile.

Original contact information:

Contact Org: Aerial Photography Field Office (APFO)

Phone: 801-844-2922



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 1 meter 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. With an annual cycle, NAIP is also used

for disaster response often providing the most current pre-event

imagery. While suitable for a variety of uses the 2 meter

GSD NAIP imagery is primarily intended to assess crop condition

and compliance to USDA farm program conditions. The 2

meter imagery is generally acquired only for agricultural areas

within state projects.




Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
None Aerial Compliance
None Compliance
None Digital Ortho rectified Image
None farming
None Ortho Rectification
None Quarter Quadrangle Centered

Spatial Keywords

Thesaurus Keyword
Geographic Names Information System 4207201
Geographic Names Information System 50025
Geographic Names Information System MOUNT SNOW
Geographic Names Information System MOUNT SNOW, NE
Geographic Names Information System VT
Geographic Names Information System VT025
Geographic Names Information System Windham
Geographic Names Information System WINDHAM CO VT FSA

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: Irregular
Data Presentation Form: Image (digital)
Entity Attribute Overview:

32-bit pixels, 4 band color(RGBIR) values 0 - 255

Entity Attribute Detail Citation:


Distribution Liability:

Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.

Support Roles

Data Steward

CC ID: 665647
Date Effective From: 2012-01-12
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 665649
Date Effective From: 2012-01-12
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 665650
Date Effective From: 2012-01-12
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 665648
Date Effective From: 2012-01-12
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 665653
W° Bound: -73.512
E° Bound: -71.264
N° Bound: 45.098
S° Bound: 42.615

Extent Group 1 / Time Frame 1

CC ID: 665652
Time Frame Type: Discrete
Start: 2011-09-19

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 665639
Dimension Count: 2
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 1

Axis Dimension 2

Dimension Type: Column
Size: 1

Access Information

Security Class: Unclassified
Data Access Constraints:

There are no limitations for access.

Data Use Constraints:

Imagery may be replaced to address defects found in a

small number of products through quality assurance

processes. 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 Information

Distribution 1

CC ID: 665654
Download URL:

Downloadable Data

File Type: Erdas Imagine (.img) and TIFF / BigTIFF / GeoTIFF (.tif)

Distribution 2

CC ID: 739918
Download URL:
File Name: Customized Download

Create custom data files by choosing area, map projection, file format, etc.

Distribution 3

CC ID: 739919
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 739921
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 665672
Activity Date/Time: 2017-05-19

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 665671
Activity Date/Time: 2017-11-14

Converted from Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718043
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 739920
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Technical Environment



Data Quality

Horizontal Positional Accuracy:

FSA Digital Orthophoto Specs.

Completeness Report:


Conceptual Consistency:

NAIP 3.75 minute tile file names are based

on the USGS quadrangle naming convention.




CC ID: 665636
Contact Name: USDA-FSA-APFO Aerial Photography Field Office
Publish Date: 2012-01-12
Extent Type: Discrete
Extent Start Date/Time: 2011-09-19
Source Contribution:

Digital Georectified Image. | Source Geospatial Form: remote-sensing image | Type of Source Media: UnKnown

Process Steps

Process Step 1

CC ID: 665637

The imagery was collected using ADS40-SH52 digital sensors.\n

Collection was performed using a combination of twin-engine\n

aircraft flying at an average flying height of 17500 and\n

27000 ft above mean terrain, with nominal sidelap of 21%,\n

giving the collected data nominal ground sampling distance\n

of 0.55 and 0.75 meters. Based-upon the CCD Array\n

configuration present in the ADS40 digital sensor, imagery\n

for each flight line is 12,000-pixels in width. Red, Green,\n

Blue, Near-Infrared and Panchromatic image bands were\n


Collected data was downloaded to portable hard drives and\n

shipped to the processing facility daily. Raw flight data\n

was extracted from external data drives using GPro software.\n

Airborne GPS / IMU data was post-processed using IPAS, PosPac\n

and/or TerraPos software and reviewed to ensure sufficient\n

accuracy for project requirements.\n

Using Pictovera software, planar rectified images were\n

generated from the collected data for use in image quality\n

review. The planar rectified images were generated at five\n

meter resolution using a two standard deviation histogram\n

stretch. Factors considered during this review included but\n

were not limited to the presence of smoke and/or cloud cover,\n

contrails, light conditions, sun glint and any sensor or\n

hardware-related issues that potentially could result in\n

faulty data. When necessary, image strips identified as not\n

meeting image quality specifications were re-flown to obtain\n

suitable imagery.\n

Aerotriangulation blocks were defined primarily by order of\n

acquisition and consisted of four to seventeen strips.\n

Image tie points providing the observations for the least\n

squares bundle adjustment were selected from the images using\n

an autocorrelation algorithm. Photogrammetric control points\n

consisted of photo identifiable control points, collected\n

using GPS field survey techniques. The control points were\n

loaded in to a softcopy workstation and measured in the\n

acquired image strips. A least squares bundle adjustment\n

of image pass points, control points and the ABGPS was\n

performed to develop an aerotriangulation solution for each\n

block using Pictovera software. Upon final bundle\n

adjustment, the triangulated strips were ortho-rectified to\n

the USGS NED DEM for the project area. The images were\n

re-sampled from the raw resolution of 0.55 or 0.75 meters to\n

the required resolution of 1.0 meters.\n

Positional accuracy was reviewed in the rectified imagery\n

by visually verifying the horizontal positioning of the\n

known photo-identifiable survey locations using ArcGIS\n


The red, green, blue, and NIR bands were combined to\n

generate a final ortho-rectified image strip. The ADS40\n

sensor collects twelve bit image data which requires\n

radiometric adjustment for output in standard eight bit\n

image channels. The ortho-rectified image strips were\n

produced with the full 12 bit data range, allowing\n

radiometric adjustment to 8 bit range to be performed on\n

a strip by strip basis during the final mosaicking steps.\n

The imagery was mosaicked using manual seamline generation\n

in Orthovista Seam Editor (OVSE). The 12 bit data range was\n

adjusted for display in standard eight bit image channels by\n

defining a piecewise histogram stretch using OrthoVista\n

software. A constant stretch was defined for each image\n

collection period, and then strip by strip adjustments were\n

made as needed to account for changes in sun angle and\n

azimuth during the collection period. Strip adjustments were\n

also made to match the strips histograms as closely as\n

possible to APFO specified histogram metrics and color\n

balance requirements. Automated balancing algorithms\n

were applied to account for bi-directional reflectance as\n

a final step before the conversion to 8 bit data range.\n

APFO specified DOQQs were extracted from the final mosaic\n

in GeoTIFF format. 4-Band DOQQs were produced and 3-B

Process Date/Time: 2012-01-12 00:00:00

Catalog Details

Catalog Item ID: 49495
GUID: gov.noaa.nmfs.inport:49495
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:15+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-05-30 18:09+0000
Metadata Record Published: 2018-03-13
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-03-13
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-03-13