49503
NAIP Digital Ortho Photo Image
2013_grandbay_nerr
Data Set
Published / External
49403
Imagery - partner (no harvest)
Project
Completed
2014-04-15
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 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.
11947
Theme
ISO 19115 Topic Category
imageryBaseMapsEarthCover
Theme
NOS Data Explorer Topic Category
Remotely Sensed Imagery/Photography
Theme
Aerial Compliance
Theme
Compliance
Theme
Digital Ortho rectified Image
Theme
NAIP
Theme
Ortho Rectification
Theme
Quarter Quadrangle
Theme
farming
Spatial
Geographic Names Information System
01097
Spatial
Geographic Names Information System
3008838
Spatial
Geographic Names Information System
AL
Spatial
Geographic Names Information System
AL097
Spatial
Geographic Names Information System
GRAND BAY
Spatial
Geographic Names Information System
GRAND BAY, NW
Spatial
Geographic Names Information System
MOBILE CO AL FSA
Spatial
Geographic Names Information System
Mobile
Office for Coastal Management
Charleston
SC
Data Set
Irregular
Image (digital)
32-bit pixels, 4 band color(RGBIR) values 0 - 255
None
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).
Data Steward
2014-04-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2014-04-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2014-04-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2014-04-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-88.575
-88.241
30.507
30.304
Discrete
2013-08-05
Yes
2
Point
No
Row
1
Column
1
Unclassified
There are no limitations for access.
None. The USDA-FSA Aerial Photography Field office
asks to be credited in derived products.
https://coast.noaa.gov/dataviewer
Downloadable Data
GeoTIFF
GeoTIFF
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=5068
Customized Download
Create custom data files by choosing area, map projection, file format, etc.
https://coastalimagery.blob.core.windows.net/digitalcoast/GrandBay_NERR_2013_5068/index.html
Bulk Download
Simple download of data files.
https://coast.noaa.gov/dataviewer
Online Resource
2016-06-07
Date that the source FGDC record was last modified.
2017-11-14
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.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
Unknown
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.
Cloud Cover: 1
None
NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.
GRAND BAY, NW
2014-04-15
Discrete
2013-08-05
Digital Georectifed Image. | Source Geospatial Form: remote-sensing image | Type of Source Media: UnKnown
1
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
2014-04-15T00:00:00
gov.noaa.nmfs.inport:49503
Anne Ball
2017-11-15T15:15:12
Kirk Waters
2024-01-11T12:04:17
2024-01-11
OCM Partners
OCMP
1002
Public
No
2018-03-13
1 Year
2019-03-13