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WMS
Tags
Ortho Rectification, ME, Quarter Quadrangle Centered, farming, 23031, Mosaic, Digital Ortho rectified Image, JPEG 2000, Compliance, Compression, NAIP, Aerial Compliance, MrSID
The 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 GSD product provides an ortho image base for Common Land Unit boundaries and other data sets. The NAIP imagery is generally acquired in projects covering full states in cooperation with state government and other federal agencies who use the imagery for a variety of purposes including land use planning and natural resource assessment. The NAIP is also used for disaster response often providing the most current pre-event imagery.
This web mapping service (WMS) provides the 2009 NAIP data for the State of Maine in a single seamless mosaic. This WMS is provided by the Maine Office of GIS and the Maine GeoLibrary. This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP acquires digital ortho imagery during the agricultural growing seasons in the continental U.S.. A primary goal of the NAIP program is to enable availability of ortho imagery within one year of acquisition. The NAIP provides two main products: 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy within +/- 5 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from the National Agriculture Imagery Program (NAIP); 1 meter GSD ortho imagery rectified within +/- 6 meters to true ground. The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 300 meter buffer on all four sides. The NAIP imagery is formatted to the UTM coordinate system using the North American Datum of 1983 (NAD83). The NAIP imagery may contain as much as 10% cloud cover per tile. This file was generated by compressing NAIP imagery that cover the county extent. Two types of compression may be used for NAIP imagery: MrSID and JPEG 2000. Target value for the compression ratio is (15:1).
There are no credits for this item.
None, The USDA-FSA Aerial Photography Field Office asks to be credited in derived products. If defects are found in the NAIP imagery during the warranty period such as horizontal offsets, replacement imagery may be provided. Imagery containing defects that require the acquisition of new imagery, such as excessive cloud cover, specular reflectance, etc., will not be replaced within a NAIP project year.
Extent
There is no extent for this item.
Maximum (zoomed in) | 1:5,000 |
Minimum (zoomed out) | 1:50,000 |
Photography Source Image Dates.
Users must assume responsibility to determine the usability of this data for their purposes.
None, The USDA-FSA Aerial Photography Field Office asks to be credited in derived products. If defects are found in the NAIP imagery during the warranty period such as horizontal offsets, replacement imagery may be provided. Imagery containing defects that require the acquisition of new imagery, such as excessive cloud cover, specular reflectance, etc., will not be replaced within a NAIP project year.
ME
Majority Aerial Photography Date
This web mapping service (WMS) provides the 2009 NAIP data for the State of Maine in a single seamless mosaic. This WMS is provided by the Maine Office of GIS and the Maine GeoLibrary. This data set contains imagery from the National
Agriculture Imagery Program (NAIP). The NAIP
acquires digital ortho imagery during the
agricultural growing seasons in the continental U.S..
A primary goal of the NAIP program is to enable
availability of ortho imagery within one year of
acquisition. The NAIP provides two main products: 1
meter ground sample distance (GSD) ortho imagery
rectified to a horizontal accuracy within +/- 5 meters
of reference digital ortho quarter quads (DOQQ's) from
the National Digital Ortho Program (NDOP) or from the
National Agriculture Imagery Program (NAIP); 1 meter
GSD ortho imagery rectified within +/- 6 meters to
true ground. The tiling format of NAIP imagery is
based on a 3.75' x 3.75' quarter quadrangle with a 300
meter buffer on all four sides. The NAIP imagery is
formatted to the UTM coordinate system using the North
American Datum of 1983 (NAD83). The NAIP imagery may
contain as much as 10% cloud cover per tile. This file
was generated by compressing NAIP imagery that cover
the county extent. Two types of compression may be
used for NAIP imagery: MrSID and JPEG 2000. Target
value for the compression ratio is (15:1).
The 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 GSD product provides an ortho image
base for Common Land Unit boundaries and other data sets.
The NAIP imagery is generally acquired in projects
covering full states in cooperation with state
government and other federal agencies who use the
imagery for a variety of purposes including land use
planning and natural resource assessment. The NAIP is
also used for disaster response often providing the most
current pre-event imagery.
Photography Source Image Dates.
None
None, The USDA-FSA Aerial Photography Field Office asks to
be credited in derived products.
If defects are found in the NAIP imagery during the warranty
period such as horizontal offsets, replacement imagery may be
provided. Imagery containing defects that require the
acquisition of new imagery, such as excessive cloud cover,
specular reflectance, etc., will not be replaced within a
NAIP project year.
NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.
None
FSA Digital Orthophoto Specifications.
N/A 2d only
Mosaicked County Image
The imagery was collected using ADS40-SH51 and ADS40-SH52 digital sensors.
Collection was performed using a combination of twin-engine aircraft flying
at 17,500 or 27,000 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 IPAS, 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.
Aerotriangulation 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 autocorrelation 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 aerotriangulation solution
for each block using Pictovera software. Upon final bundle adjustment, the triangulated strips
were ortho-rectified to the USGS NED DEM for the project area. A combination of 10-Meter
and 30-Meter NED data purchased from USGS in 2005 was used for rectification. The images
were re-sampled from the raw resolution of 0.7 meters to the required resolution of 1.0 meters.
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 seamline 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.
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.
Metadata imported.
24 bit pixels, 3 band color (RGB) represent brightness values 0-255.
None
Users must assume responsibility to determine the usability of this data for their purposes.
The Maine Office of GIS and the GeoLibrary Board provide web mapping services to distribute aerial photos and other digital data. A WMS is not a web application which you can see in a web browser; rather, it requires you to add the service to a GIS software application.
http://www.maine.gov/geolib/wms.htm