<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>USDA-FSA-APFO</origin>
<pubdate>20171120</pubdate>
<title>USDA-FSA-APFO Digital Ortho Mosaic</title>
<pubinfo>
<pubplace>Salt Lake City, Utah</pubplace>
<publish>USDA_FSA_APFO Aerial Photography Field Office</publish>
</pubinfo>
</citeinfo>
</citation>
<descript>
<abstract>
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
or 60cm 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
pixel 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 covers
the county extent. Two types of compression may be
used for NAIP imagery: MrSID and JPEG 2000. The target
value for the compression ratio is 15:1 for the 1 meter
imagery and 60:1 for the 60cm imagery.
</abstract>
<purpose>
The NAIP imagery is typically 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 60cm 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.
</purpose>
</descript>
<timeperd>
<timeinfo>
<sngdate>
<caldate>2017</caldate>
</sngdate>
</timeinfo>
<current>Photography Source Image Dates.</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>Irregular</update>
</status>
<spdom>
<bounding>
<westbc>-122.570211</westbc>
<eastbc>-121.048899</eastbc>
<northbc>47.830830</northbc>
<southbc>47.051773</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>None</themekt>
<themekey>farming</themekey>
<themekey>Digital Ortho Rectified Image</themekey>
<themekey>Mosaic</themekey>
<themekey>Quarter Quadrangle</themekey>
<themekey>Ortho Rectification</themekey>
<themekey>Compression</themekey>
<themekey>MrSID</themekey>
<themekey>JPEG 2000</themekey>
<themekey>NAIP</themekey>
<themekey>Compliance</themekey>
<themekey>Aerial Compliance</themekey>
</theme>
<place>
<placekt>Geographic Names Information System</placekt>
<placekey>WA</placekey>
<placekey>King</placekey>
<placekey>King CO WA FSA</placekey>
<placekey>53033</placekey>
</place>
</keywords>
<accconst>There are no limitations for access.</accconst>
<useconst>
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 1 year
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.
</useconst>
<ptcontac>
<cntinfo>
<cntorgp>
<cntorg>USDA-FSA Aerial Photography Field Office</cntorg>
</cntorgp>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>2222 West 2300 South</address>
<city>Salt Lake City</city>
<state>Utah</state>
<postal>84119-2020</postal>
<country>USA</country>
</cntaddr>
<cntvoice>801-844-2922</cntvoice>
<cntfax>801-956-3653</cntfax>
<cntemail>apfo.sales@slc.usda.gov</cntemail>
</cntinfo>
</ptcontac>
<browse>
<browsen>None</browsen>
<browsed>None</browsed>
<browset>None</browset>
</browse>
<native>
NAIP 3.75 Quarter Quadrangles mosaicked into a County format
using data compression software. The target values for the
compression ratio are 15:1 for the 1 meter imagery and 60:1
for the 60cm imagery.
</native>
</idinfo>
<dataqual>
<logic>
NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.
</logic>
<complete>None</complete>
<posacc>
<horizpa>
<horizpar>NAIP Specifications</horizpar>
</horizpa>
<vertacc>
<vertaccr>N/A 2d only</vertaccr>
</vertacc>
</posacc>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<origin>USDA-FSA Aerial Photography Field Office</origin>
<pubdate>20171120</pubdate>
<title>King, WA</title>
</citeinfo>
</srccite>
<srcscale>12000</srcscale>
<typesrc>External Media Types</typesrc>
<srctime>
<timeinfo>
<sngdate>
<caldate>2017</caldate>
</sngdate>
</timeinfo>
<srccurr>Majority Aerial Photography Date</srccurr>
</srctime>
<srccitea>MrSID Compressed Image</srccitea>
<srccontr>Mosaicked County Image</srccontr>
</srcinfo>
<procstep>
<procdesc>
Digital imagery was collected at a nominal GSD of
40cm using nine Cessna 441, one Reims F406, one Piper and
one Merlin aircraft flying at an average flight height of
8400m AGL for the SH120 acquisition and 4400m AGL for
SH100 acquisition. Aircraft flew with Leica Geosystem's
ADS100/SH100 digital sensors with firmware 4.57 or
ADS100/SH120 digital sensors with firmware 4.57. Each
sensor collected 12 image bands Red,Green,Blue and
Near-infrared at each of three look angles; Backward 19
degrees, Forward 26 degrees and Nadir for the SH100.
Backward 10 degrees, Forward 14 degrees, and Nadir for
the SH120. The Nadir Green band was collected in high
resolution mode effectively doubling the resolution for
that band. The ADS100 spectral ranges are; Red 619-651nm,
Green 525-585nm, Blue 435-495nm and Near-infrared at
808-882nm. The CCD arrays have a pixel size of 5.0 microns
in a 20000x1 format at nadir; a 18000x1 format at the
backward look angle and a 16000x1 format at the forward
look angle. The CCD's have a dynamic range of 72db and
the A/D converters have a resolution of 14bits. The ADS
is a push-broom sensor the ground footprint of the imagery
is approximately 8km wide at a nominal 40cm GSD by the
length flightline. The maximum flightline length is limited
to approximately 175km. The factory calibrations and IMU
alignments for each sensor (Serial Numbers: 10511,10512,
10514,10522,10527,10530,10531,10534,10540,10554,12502)
were tested and verified by in-situ test flights before
the start of the project. The Leica MissionPro Flight
Planning Software is used to develop the flight acquisition
plans. Flight acquisition sub blocks are designed first to
define the GNSS base station logistics, and to break
the project up into manageable acquisition units. The
flight acquisition sub blocks are designed based on
the specified acquisition season, native UTM zone of
the DOQQs, flight line length limitations (to ensure
sufficient performance of the IMU solution) as well
as air traffic restrictions in the area. Once the sub
blocks have been delineated they are brought into
MissionPro for flight line design. The design
parameters used in MissionPro will be 30% lateral
overlap and 40cm resolution. The flight lines
have been designed with a north/south orientation or
east/west where required for efficiency.
The design takes into account the latitude of the
state, which affects line spacing due to convergence
as well as the terrain. SRTM elevation data is
used in the MissionPro design to ensure the 50cm
GSD is achieved over all types of terrain. The raw
data was downloaded from the sensors after each
flight using Leica XPro software. The imagery was
then georeferenced using the 200Hz GPS/INS data
creating an exterior orientation for each scan line
(x/y/z/o/p/k). Leica Xpro APM software was used to
automatically generate tiepoint measurements between
the forward, nadir and backward look angles for each line
and to tie all flight lines together. The resulting point
data and exterior orientation data were used to perform
a full bundle adjustment using ORIMA software. Blunders
were removed, and additional tie points measured in weak
areas to ensure a robust solution. Once the point data
was clean and point coverage was acceptable,
photo-identifiable GPS-surveyed ground control points
were introduced into the block adjustment. The bundle
adjustment process produces revised exterior orientation
data for the sensor with GPS/INS, datum, and sensor
calibration errors modeled and removed. Using the
revised exterior orientation from the bundle adjustment,
orthorectified image strips were created with Xpro
software and the June 2014 USGS 10m NED DEM. The Xpro
orthorectification software applies an atmospheric-BRDF
radiometric correction to the imagery. This correction
compensates for atmospheric absorption, solar
illumination angle and bi-directional reflectance. The
orthorectified strips were then overlaid with each other
and the ground control to check accuracy. Once the accuracy
of the orthorectified image strips were validated the
strips were then imported into Inpho's OrthoVista 7.0
package which was used for the final radiometric
balance, mosaic, and DOQQ sheet creation. The final
DOQQ sheets, with a 300m buffer and a ground pixel
resolution of 1m or 60cm were then combined and compressed
to create the county wide CCMs.
</procdesc>
<procdate>20171120</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<indspref>King, WA</indspref>
<direct>Raster</direct>
<rastinfo>
<rasttype>Pixel</rasttype>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<gridsys>
<gridsysn>Universal Transverse Mercator</gridsysn>
<utm>
<utmzone>10</utmzone>
<transmer>
<sfctrmer>0.9996</sfctrmer>
<longcm>-123</longcm>
<latprjo>0.0</latprjo>
<feast>500000</feast>
<fnorth>0.0</fnorth>
</transmer>
</utm>
</gridsys>
<planci>
<plance>row and column</plance>
<coordrep>
<absres>1</absres>
<ordres>1</ordres>
</coordrep>
<plandu>meters</plandu>
</planci>
</planar>
<geodetic>
<horizdn>North American Datum of 1983</horizdn>
<ellips>Geodetic Reference System 80</ellips>
<semiaxis>6378137</semiaxis>
<denflat>298.257</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<overview>
<eaover>8-bit pixels per band, 3 band RGB represent brightness values 0 - 255</eaover>
<eadetcit>None</eadetcit>
</overview>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntperp>
<cntper>Supervisor Customer Services Section</cntper>
<cntorg>USDA-FSA Aerial Photography Field Office</cntorg>
</cntperp>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>2222 West 2300 South</address>
<city>Salt Lake City</city>
<state>Utah</state>
<postal>84119-2020</postal>
<country>USA</country>
</cntaddr>
<cntvoice>801-844-2922</cntvoice>
<cntfax>801-956-3653</cntfax>
<cntemail>apfo.sales@slc.usda.gov</cntemail>
</cntinfo>
</distrib>
<resdesc>Mosaicked County Image for King, WA</resdesc>
<distliab>
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).
</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>Compressed County Mosaic</formname>
<formcont>Natural Color</formcont>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>None</networkr>
</networka>
</computer>
</onlinopt>
<offoptn>
<offmedia>DVD-R</offmedia>
<recfmt>ISO 9660</recfmt>
</offoptn>
<offoptn>
<offmedia>USB Hard Disk</offmedia>
<recfmt>NTFS</recfmt>
</offoptn>
<offoptn>
<offmedia>FireWire Hard Disk</offmedia>
<recfmt>NTFS</recfmt>
</offoptn>
<offoptn>
<offmedia>Flash drive</offmedia>
<recfmt>Fat32 or NTFS</recfmt>
</offoptn>
</digtopt>
</digform>
<fees>
Contact the Aerial Photography Field Office
for more information
</fees>
</stdorder>
</distinfo>
<metainfo>
<metd>20171120</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>USDA-FSA Aerial Photography Field Office</cntorg>
</cntorgp>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>2222 West 2300 South</address>
<city>Salt Lake City</city>
<state>Utah</state>
<postal>84119-2020</postal>
<country>USA</country>
</cntaddr>
<cntvoice>801-844-2900</cntvoice>
</cntinfo>
</metc>
<metstdn>Content Standard for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
</metainfo>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>aerial</keyword>
</searchKeys>
<idPurp>map image layer</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>FW_2017_1_sid</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
