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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;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 60 centimeter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy within +/- 4 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from the National Agriculture Imagery Program (NAIP). 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 cover 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 40:1 for imagery.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;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. Purpose: 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.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Digital imagery was collected at a nominal GSD of 25cm using 7 Cessna 441's, one Reims-Cessna F406, one Cessna 414, 3 Piper PA31's, one Piper PAY2 and one Swearingen Merlin-3 aircraft flying at an average flight height of 4800m AGL for the SH120 acquisition and 5289m AGL for SH100 acquisition. Aircraft flew with Leica Geosystem's ADS100/SH100 digital sensors with firmware 4.60 or ADS100/SH120 digital sensors with firmware 4.60. 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 3km wide at a nominal 25cm GSD, by the length flightline. The maximum flightline length is limited to approximately 130km. The factory calibrations and IMU alignments for each sensor (Serial Numbers: 10511, 10512, 10514, 10527, 10528, 10531, 10534, 10540, 10554, 12502, 12503, 12529) 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 50cm 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 2018 or newer HxIP 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 7.1.2 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 60cm were then combined and compressed to create the county wide CCMs.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>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 1/2 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.</idPurp>
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<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;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.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
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<report type="DQConcConsis">
<measDesc>NAIP 3.75 minute tile file names are based on the USGS quadrangle naming convention.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>None</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>NAIP Specifications</measDesc>
</report>
<report dimension="vertical" type="DQAbsExtPosAcc">
<measDesc>N/A 2d only</measDesc>
</report>
<dataLineage>
<dataSource>
<srcDesc>Mosaicked County Image</srcDesc>
<srcScale>
<rfDenom>12000</rfDenom>
</srcScale>
<srcCitatn>
<resTitle>MIAMI-DADE CO, FL</resTitle>
<resAltTitle>MrSID Compressed Image</resAltTitle>
<date>
<pubDate>2018-01-28</pubDate>
</date>
<citRespParty>
<rpOrgName>USDA-FSA Aerial Photography Field Office</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</srcCitatn>
<srcExt>
<exDesc>Majority Aerial Photography Date</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2017-11-19</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</srcExt>
</dataSource>
<prcStep>
<stepDesc>The imagery was collected using the following digital sensors: Leica ADS-100 (Serial Number 10541) Leica ADS-100 (Serial Number 10548) Leica ADS-100 (Serial Number 10564) with Flight and Sensor Control Management System (FCMS) firmware 4.54. 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: Turbines flying at 16,500 ft above mean terrain (tail number: AC90 N910FC) (tail number: C441 N441CJ) (tail number: C441 N441MD) With these flying heights, there is a 23% sidelap, giving the collected data nominal ground sampling distance of 0.40 meters at 16,500. 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 INYS, PosPac and/or TerraPos software and reviewed to ensure sufficient accuracy for project requirements. Using Inpho 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, 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 OrthoVista. 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.</stepDesc>
<stepDateTm>2018-01-28</stepDateTm>
</prcStep>
</dataLineage>
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<spatRepInfo>
<Indref>MIAMI-DADE CO., FL ortho_1-1_1n_s_fl086_2017_1</Indref>
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<eainfo>
<overview>
<eaover>ortho_1-1_1n_s_fl086_2017_1</eaover>
<eadetcit>None</eadetcit>
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</eainfo>
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