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Short Citation:
OCM Partners, 2023: 2015 Coastal Georgia NAIP 4-Band 8 Bit Imagery, https://www.fisheries.noaa.gov/inport/item/50695.

Item Identification

Title: 2015 Coastal Georgia NAIP 4-Band 8 Bit Imagery
Short Name: 2015_ga_naip M8429
Status: Completed
Publication Date: 2015-12-18
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.

Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
ISO 19115 Topic Category imageryBaseMapsEarthCover
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 GA
Geographic Names Information System Georgia

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:

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: 703394
Date Effective From: 2015-12-18
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: 703396
Date Effective From: 2015-12-18
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: 703397
Date Effective From: 2015-12-18
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: 703395
Date Effective From: 2015-12-18
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: 703392
W° Bound: -85.339
E° Bound: -80.745
N° Bound: 33.638
S° Bound: 30.319

Extent Group 1 / Time Frame 1

CC ID: 703391
Time Frame Type: Discrete
Start: 2015-12-18

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 703405
Dimension Count: 2
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Column
Size: 1

Axis Dimension 2

Dimension Type: Row
Size: 1

Access Information

Security Class: Unclassified
Data Access Policy:

Data is available for online custom download.

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: 703398
Start Date: 2017-12-22
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8429
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2015-12-18 - Present)

Distribution 2

CC ID: 703399
Start Date: 2017-12-22
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster3/imagery/GA_NAIP_2015_8429
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2015-12-18 - Present)

URLs

URL 1

CC ID: 703400
URL: https://coast.noaa.gov/dataviewer
URL Type:
Online Resource

URL 2

CC ID: 703401
URL: https://coast.noaa.gov/digitalcoast
URL Type:
Online Resource

Technical Environment

Description:

Unknown

Data Quality

Completeness Report:

None

Conceptual Consistency:

NAIP 3.75 minute tile file names are based

on the USGS quadrangle naming convention.

Lineage

Sources

KURE BEACH, NE

CC ID: 703408
Contact Name: USDA-FSA-APFO Aerial Photography Field Office
Publish Date: 2015-12-18
Extent Type: Discrete
Extent Start Date/Time: 2015-09-18

Process Steps

Process Step 1

CC ID: 703409
Description:

The imagery was collected using the following digital sensors:

Leica ADS-100 (Serial Number 10529)

Leica ADS-100 (Serial Number 10547)

Leica ADS-100 (Serial Number 10548)

with Flight and Sensor Control Management

System (FCMS) firmware 4.40 and

Leica ADS-80SH82 (Serial Number 1301)

Leica ADS-80SH81 (Serial Number 1318)

with Flight and Sensor Control Management

System (FCMS) firmware 3.38.

Cameras are calibrated radiometrically and geometrically

by the manufacturer and are all certified by the USGS.

Collection was performed using a combination of the

following twin-engine aircraft:

Turbines flying at 16,500 ft above mean terrain

(tail number: AC90 N910FC)

(tail number: C402 N246MP)

(tail number: PA31 N35AS)

(tail number: PAY2 N400CM)

With these flying heights, there is a 23% sidelap,

giving the collected data nominal ground sampling distance

of 0.40 meters at 16,500.

Based-upon the CCD Array configuration present in

the ADS digital sensor, imagery for each flight

line is 12,000-pixels in width. Red, Green, Blue,

Near-Infrared and Panchromatic image bands were collected.

The ADS 100 has the following band specifications:

Red 619-651

Green 525-585

Blue 435-495

Near Infrared 808-882

all values are in nanometers

The ADS 80 has the following band specifications:

Pan 465-676

Red 604-664

Green 533-587

Blue 420-492

Near Infrared 833-920

all values are in nanometers

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 XPro software.

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

PosPac and/or TerraPos software and reviewed to ensure

sufficient accuracy for project requirements.

Using XPro 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.

Process Date/Time: 2015-12-18 00:00:00

Process Step 2

CC ID: 703410
Description:

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, blue, and infrared bands were combined to

generate a final ortho-rectified image strip. The ADS 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 12 bit data range was adjusted for display in standard

eight bit image channels by defining a piecewise histogram

stretch using OrthoVista Radiometrix 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. The imagery was

mosaicked using manual seam line generation in OrthoVista.

APFO specified DOQQs were extracted from the final mosaic in

GeoTIFF format. 4-Band DOQQs were produced and 3-Band RGB

CCMs were created. DOQQs corresponding to an individual CCM

were reviewed for overall color balance within the CCM.

Local corrections were made where necessary to 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 ratio to create a

composite CCM.

Process Date/Time: 2015-12-18 00:00:00

Catalog Details

Catalog Item ID: 50695
GUID: gov.noaa.nmfs.inport:50695
Metadata Record Created By: Erik Hund
Metadata Record Created: 2017-12-07 08:50+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2018-02-14
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-02-14
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-02-14