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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Activity Log
Tech Environment
Data Quality
Lineage
Catalog Details

Summary

Short Citation
OCM Partners, 2024: NAIP Digital Ortho Photo Image, https://www.fisheries.noaa.gov/inport/item/49503.
Full Citation Examples

Abstract

This data set contains imagery from the National Agriculture

Imagery Program (NAIP). The NAIP program is administered by

USDA FSA and has been established to support two main FSA

strategic goals centered on agricultural production.

These are, increase stewardship of America's natural resources

while enhancing the environment, and to ensure commodities

are procured and distributed effectively and efficiently to

increase food security. The NAIP program supports these goals by

acquiring and providing ortho imagery that has been collected

during the agricultural growing season in the U.S. The NAIP

ortho imagery is tailored to meet FSA requirements and is a

fundamental tool used to support FSA farm and conservation

programs. Ortho imagery provides an effective, intuitive

means of communication about farm program administration

between FSA and stakeholders.

New technology and innovation is identified by fostering and

maintaining a relationship with vendors and government

partners, and by keeping pace with the broader geospatial

community. As a result of these efforts the NAIP program

provides three main products: DOQQ tiles,

Compressed County Mosaics (CCM), and Seamline shape files

The Contract specifications for NAIP imagery have changed

over time reflecting agency requirements and improving

technologies. These changes include image resolution,

horizontal accuracy, coverage area, and number of bands.

In general, flying seasons are established by FSA and are

targeted for peak crop growing conditions. The NAIP

acquisition cycle is based on a minimum 3 year refresh of base

ortho imagery. The tiling format of the NAIP imagery is based

on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer

on all four sides. NAIP quarter quads are formatted to the UTM

coordinate system using the North American Datum of 1983.

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

Email: apfo.sales@slc.usda.gov

Distribution Information

Access Constraints:

There are no limitations for access.

Use Constraints:

None. The USDA-FSA Aerial Photography Field office

asks to be credited in derived products.

Controlled Theme Keywords

imageryBaseMapsEarthCover

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov

Extents

Geographic Area 1

-88.575° W, -88.241° E, 30.507° N, 30.304° S

Time Frame 1
2013-08-05

Item Identification

Title: NAIP Digital Ortho Photo Image
Short Name: 2013_grandbay_nerr
Status: Completed
Publication Date: 2014-04-15
Abstract:

This data set contains imagery from the National Agriculture

Imagery Program (NAIP). The NAIP program is administered by

USDA FSA and has been established to support two main FSA

strategic goals centered on agricultural production.

These are, increase stewardship of America's natural resources

while enhancing the environment, and to ensure commodities

are procured and distributed effectively and efficiently to

increase food security. The NAIP program supports these goals by

acquiring and providing ortho imagery that has been collected

during the agricultural growing season in the U.S. The NAIP

ortho imagery is tailored to meet FSA requirements and is a

fundamental tool used to support FSA farm and conservation

programs. Ortho imagery provides an effective, intuitive

means of communication about farm program administration

between FSA and stakeholders.

New technology and innovation is identified by fostering and

maintaining a relationship with vendors and government

partners, and by keeping pace with the broader geospatial

community. As a result of these efforts the NAIP program

provides three main products: DOQQ tiles,

Compressed County Mosaics (CCM), and Seamline shape files

The Contract specifications for NAIP imagery have changed

over time reflecting agency requirements and improving

technologies. These changes include image resolution,

horizontal accuracy, coverage area, and number of bands.

In general, flying seasons are established by FSA and are

targeted for peak crop growing conditions. The NAIP

acquisition cycle is based on a minimum 3 year refresh of base

ortho imagery. The tiling format of the NAIP imagery is based

on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer

on all four sides. NAIP quarter quads are formatted to the UTM

coordinate system using the North American Datum of 1983.

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

Email: apfo.sales@slc.usda.gov

Purpose:

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 and 1/2 meter

GSD product provides an ortho image base for Common Land Unit

boundaries and other data sets. The 1 meter and 1/2 meter NAIP

imagery is generally acquired in projects covering full states in

cooperation with state government and other federal agencies that

use the imagery for a variety of purposes including land use

planning and natural resource assessment. The NAIP is also used

for disaster response. While suitable for a variety of uses,

prior to 2007 the 2 meter GSD NAIP imagery was primarily intended

to assess "crop condition and compliance" to USDA farm program

conditions. The 2 meter imagery was generally acquired only

for agricultural areas within state projects.

Notes:

11947

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
imageryBaseMapsEarthCover
UNCONTROLLED
NOS Data Explorer Topic Category Remotely Sensed Imagery/Photography
None Aerial Compliance
None Compliance
None Digital Ortho rectified Image
None farming
None NAIP
None Ortho Rectification
None Quarter Quadrangle

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
Geographic Names Information System 01097
Geographic Names Information System 3008838
Geographic Names Information System AL
Geographic Names Information System AL097
Geographic Names Information System GRAND BAY
Geographic Names Information System GRAND BAY, NW
Geographic Names Information System Mobile
Geographic Names Information System MOBILE CO AL 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:

None

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).

Support Roles

Data Steward

CC ID: 665960
Date Effective From: 2014-04-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 665962
Date Effective From: 2014-04-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 665963
Date Effective From: 2014-04-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 665961
Date Effective From: 2014-04-15
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1307173
W° Bound: -88.575
E° Bound: -88.241
N° Bound: 30.507
S° Bound: 30.304

Extent Group 1 / Time Frame 1

CC ID: 1307172
Time Frame Type: Discrete
Start: 2013-08-05

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 665952
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:

None. The USDA-FSA Aerial Photography Field office

asks to be credited in derived products.

Distribution Information

Distribution 1

CC ID: 665967
Download URL: https://coast.noaa.gov/dataviewer
Distributor:
Description:

Downloadable Data

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

Distribution 2

CC ID: 739946
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=5068
Distributor:
File Name: Customized Download
Description:

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

Distribution 3

CC ID: 739947
Download URL: https://coastalimagery.blob.core.windows.net/digitalcoast/GrandBay_NERR_2013_5068/index.html
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 739949
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 665986
Activity Date/Time: 2016-06-07
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 665985
Activity Date/Time: 2017-11-14
Description:

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

Activity Log 3

CC ID: 718062
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 739948
Activity Date/Time: 2018-03-13
Description:

Partial upload to move data access links to Distribution Info.

Technical Environment

Description:

Unknown

Data Quality

Horizontal Positional Accuracy:

NAIP horizontal accuracy specifications have evolved over

the life of the program. From 2003 to 2004 the

specifications were as follows: 1-meter GSD imagery was

to match within 3-meters, and 2-meter GSD to match within 10

meters of reference imagery. For 2005 the 1-meter GSD

specification was changed to 5 meters matching the reference

imagery. In 2006 a pilot project was performed using true

ground specifications rather than reference imagery. All

states used the same specifications as 2005 except Utah,

which required a match of +/- 6 meters to true ground.

In 2007 all specifications were the same as 2006 except

Arizona used true ground specifications and all other states

used reference imagery. In 2008 and subsequent years

no 2-meter GSD imagery was acquired and all specifications

were the same as 2007 except approximately half of the

states acquired used true ground specifications and the

other half used reference imagery. The 2008 states that

used absolute ground control where; Indiana, Minnesota,

New Hampshire, North Carolina, Texas, Vermont, and Virginia.

From 2009 to present all NAIP imagery acquisitions used

the +/- 6 meters to ground specification.

Completeness Measure:

Cloud Cover: 1

Completeness Report:

None

Conceptual Consistency:

NAIP 3.75 minute tile file names are based

on the USGS quadrangle naming convention.

Lineage

Sources

GRAND BAY, NW

CC ID: 1307167
Publish Date: 2014-04-15
Extent Type: Discrete
Extent Start Date/Time: 2013-08-05
Source Contribution:

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

Process Steps

Process Step 1

CC ID: 1307168
Description:

DOQQ Production Process Description

USDA FSA APFO NAIP Program 2013

State: Alabama

The imagery was collected using ADS40-SH51

digital sensors. Collection was performed using a

combination of twin-engine aircraft flying at 17,500 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 processing facility daily. Raw flight data

was extracted from external data drives using GPro software.

Airborne GPS / IMU data was post-processed using IALS,

PosPac and/or TerraPos software and reviewed to ensure

sufficient accuracy for project requirements.

Using Pictovera software, planar rectified images were

generated from the collected data for use in image quality

review. The planar rectified images were generated at five

meter resolution using a two standard deviation histogram

stretch. Factors considered during this 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 that potentially could result in

faulty data. When necessary, image strips identified as not

meeting image quality specifications were re-flown to obtain

suitable imagery.

Aero triangulation blocks were defined primarily by order of

acquisition and consisted of four to seventeen strips.

Image tie points providing the observations for the least

squares bundle adjustment were selected from the images

using an auto correlation algorithm. Photogrammetric control

points consisted of photo identifiable control points,

collected using GPS field survey techniques. The control

points were loaded in to a softcopy workstation and measured

in the acquired image strips. A least squares bundle

adjustment of image pass points, control points and the

ABGPS was performed to develop an aero triangulation

solution for each block using Pictovera software.

Upon final bundle adjustment, the triangulated strips were

ortho-rectified to the digital elevation model (DEM) The most

recent USGS 10 meter DEMs were used in the rectification

process.

Positional accuracy was reviewed in the rectified imagery by

visually verifying the horizontal positioning 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 output in standard eight bit image channels. The ortho-

rectified image strips were produced with the full 12 bit

data range, allowing radiometric adjustment to 8 bit range

to be performed on a strip by strip basis during the final

mosaicking steps.

The imagery was mosaicked using manual seam line generation

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

adjusted for display in standard eight bit image channels by

defining a piecewise histogram stretch using OrthoVista

software. A constant stretch was defined for each image

collection period, and then strip by strip adjustments were

made as needed to account for changes in sun angle and

azimuth during the collection period. Strip adjustments

were also made to match the strips histograms as closely as

possible to APFO specified histogram metrics and color

balance requirements. Automated balancing algorithms were

applied to account for bi- directional reflectance as a

final step before the conversion to 8 bit data range

Process Date/Time: 2014-04-15 00:00:00

Catalog Details

Catalog Item ID: 49503
GUID: gov.noaa.nmfs.inport:49503
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:15+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-11 12:04+0000
Metadata Record Published: 2024-01-11
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