2015 Coastal New York NAIP Digital Ortho Photo Imagery

Metadata also available as


Originator: USDA-FSA-APFO Aerial Photography Field Office
Publication_Date: 20151117
Title: 2015 Coastal New York NAIP Digital Ortho Photo Imagery
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Place: Salt Lake City, Utah
Publisher: USDA-FSA-APFO Aerial Photography Field Office
Online_Linkage: https://coast.noaa.gov/htdata/raster1/imagery/NY_NAIP_2015_8402
Online_Linkage: https://coast.noaa.gov/dataviewer
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.
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.
Calendar_Date: 20150507
Currentness_Reference: Ground Condition
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
West_Bounding_Coordinate: -80.144
East_Bounding_Coordinate: -71.578
North_Bounding_Coordinate: 45.170
South_Bounding_Coordinate: 40.233
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: imageryBaseMapsEarthCover
Theme_Keyword_Thesaurus: None
Theme_Keyword: farming
Theme_Keyword: Digital Ortho rectified Image
Theme_Keyword: Ortho Rectification
Theme_Keyword: Quarter Quadrangle
Theme_Keyword: NAIP
Theme_Keyword: Aerial Compliance
Theme_Keyword: Compliance
Place_Keyword_Thesaurus: Geographic Names Information System
Place_Keyword: NY
Place_Keyword: Suffolk
Place_Keyword: 36103
Place_Keyword: NY103
Place_Keyword: SUFFOLK CO NY FSA
Place_Keyword: 4107157
Access_Constraints: There are no limitations for access.
None. The USDA-FSA Aerial Photography Field office asks to be credited in derived products.
Contact_Organization: Aerial Photography Field Office (APFO)
Address_Type: mailing and physical
Address: 2222 West 2300 South
City: Salt Lake City
State_or_Province: Utah
Postal_Code: 84119-2020
Country: USA
Contact_Voice_Telephone: 801-844-2922
Contact_Facsimile_Telephone: 801-956-3653
Contact_Electronic_Mail_Address: apfo.sales@slc.usda.gov
Browse_Graphic_File_Name: None
Browse_Graphic_File_Description: None
Browse_Graphic_File_Type: None
Native_Data_Set_Environment: Unknown

NAIP 3.75 minute tile file names are based on the USGS quadrangle naming convention.
Completeness_Report: None
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.
Originator: USDA-FSA-APFO Aerial Photography Field Office
Publication_Date: 20151117
Geospatial_Data_Presentation_Form: remote-sensing image
Type_of_Source_Media: UnKnown
Calendar_Date: 20150507
Source_Currentness_Reference: Aerial Photography Date for aerial photo source.
Source_Citation_Abbreviation: Georectified Image
Source_Contribution: Digital Georectified Image.
DOQQ Production Process Description
State: New York

The imagery was collected using the following digital sensors:
Leica ADS-100 (Serial Number 10542)
Leica ADS-100 (Serial Number 10547)
Leica ADS-100 (Serial Number 10541)
with Flight and Sensor Control Management
System (FCMS) firmware 4.40.
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 20,000 ft above mean terrain
(tail number: AC90 N690LN)
(tail number: AC90 N910FC)
(tail number: BE20 N42Z)
With these flying heights, there is a 28% sidelap,
giving the collected data nominal ground sampling distance
of 0.48 meters at 20,000.
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

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 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.

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

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 Intergraph
GeoMedia OrthoPro.
Process_Date: 20151117

Indirect_Spatial_Reference: Providence County, RI
Direct_Spatial_Reference_Method: Raster
Raster_Object_Type: Pixel
Row_Count: 1
Column_Count: 1

Grid_Coordinate_System_Name: Universal Transverse Mercator
UTM_Zone_Number: 19
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -75.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000
False_Northing: 0.0
Planar_Coordinate_Encoding_Method: row and column
Abscissa_Resolution: .5
Ordinate_Resolution: .5
Planar_Distance_Units: meters
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80 (GRS 80)
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257

Entity_and_Attribute_Overview: 32-bit pixels, 4 band color(RGBIR) values 0 - 255
Entity_and_Attribute_Detail_Citation: None

Contact_Organization: NOAA Office for Coastal Management
Address_Type: mailing and physical
Address: 2234 South Hobson Avenue
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Contact_Voice_Telephone: 843-740-1202
Contact_Electronic_Mail_Address: coastal.info@noaa.gov
Resource_Description: Downloadable Data
Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.
Format_Name: Erdas Imagine (.img) and TIFF / BigTIFF / GeoTIFF (.tif)
Network_Resource_Name: https://coast.noaa.gov/dataregistry/
Fees: None

Metadata_Date: 20171102
Contact_Organization: USDA-FSA-APFO Aerial Photography Field Office
Address_Type: mailing and physical
Address: 2222 West 2300 South
City: Salt Lake City
State_or_Province: Utah
Postal_Code: 84119-2020
Country: USA
Contact_Voice_Telephone: 801-844-2922
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

Generated by mp version 2.9.32 on Thu Nov 2 07:43:22 2017