gov.noaa.nmfs.inport:58386
eng
UTF8
dataset
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
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NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2023-10-17T16:12:19
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
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2018 Virginia NAIP Digital Ortho Photo Imagery
2019-12-26
publication
NOAA/NMFS/EDM
58386
https://www.fisheries.noaa.gov/inport/item/58386
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Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/dataviewer
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Citation URL
Online Resource
download
imageDigital
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
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 100, 50, and 30 centimeter 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.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
irregular
VA
Virginia
place
Geographic Names Information System
Aerial Compliance
Compliance
Digital Ortho rectified Image
NAIP
Ortho Rectification
Quarter Quadrangle
farming
theme
Imagery - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2018 Virginia NAIP Digital Ortho Photo Imagery [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58386.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
otherRestrictions
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. | Distribution Liability: Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
58386
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58386.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
grid
eng; US
imageryBaseMapsEarthCover
Unknown
-83.788
-75.052
36.441
39.636
| Currentness: Ground Condition
2018-08-27
2018-12-19
false
eng
false
None
IMG - ERDAS Imagine
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataregistry/
WWW:LINK-1.0-http--link
https://coast.noaa.gov/dataregistry/
Downloadable Data
download
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=8977
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing area, map projection, file format, etc.
download
https://coast.noaa.gov/htdata/raster4/imagery/VA_NAIP_2018_8977
WWW:LINK-1.0-http--link
Bulk Download
Simple download of data files.
download
dataset
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 Report
None
Conceptual Consistency
NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.
DOQQ Production Process Description; USDA FSA APFO NAIP Program 2018; State: Virginia.
The imagery was collected using the following digital sensors: Leica ADS-100 (Serial Number
10510), Leica ADS-100 (Serial Number 10515), Leica ADS-100 (Serial Number 10522), Leica
ADS-100 (Serial Number 10530), Leica ADS-100 (Serial Number 10552), with Flight and Sensor
Control Management System (FCMS) firmware: v4.54, 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 with turbines flying at
16,457 ft above mean terrain. Plane types: C441, Tail numbers: N2NQ, N414EH, N440EH,
N441EH, N441FS, With these flying heights, there is a 30% sidelap, giving the collected data
nominal ground sampling distance of 0.40 meters at 16,457 feet. Based-upon the CCD Array
configuration present in the ADS digital sensor, imagery for each flight line is 20,000-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. 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 Inertial Explorer 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
native 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.
2019-06-13T00:00:00
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 into 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
XPro 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 fourteen 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 16 bit data range, allowing radiometric adjustment
to the 8 bit range to be performed on a strip by strip basis during the final mosaicking steps.
The 16 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
2019-06-13T00:00:00