asht100k_naip2009_1m.jp2
asht100k_naip2009_1m.jp2
remote-sensing image
http://giscenter-sl.isu.edu/AOC/AOC_DOQQ/Idaho/7-NAIP_2009/100Ktiles_NAIP2009/NAIP2009_jp2000/Ashton.zip
Distributed by Idaho State University-GIS TReC
Pocatello, ID USA
Idaho State University
2009
20090916asht100k_naip2009_1m.jp2http://www.idwr.idaho.gov/GeographicInfo/raster digital datahttp:/idwr.idaho.govThis 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.
The quarter quads have been reprojected from UTM 11 or
UTM 12 to IDTM83 projection (ESPG 102605), mosaicked
into 100k tiles, and compressed using ERDAS Imagine for
use in ArcGIS.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.2009062420090820None planned-114.002476-112.99245444.00428543.495548NonefarmingDigital Ortho rectified ImageMosaicQuarter Quadrangle CenteredOrtho RectificationCompressionMrSIDJPEG 2000NAIPComplianceAerial ComplianceGeographic Names Information SystemAda CO., ID FSAFIPS 16001AdaIdahoNoneNone, 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.NoneNoneNoneMicrosoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000Idaho Department of Water ResoourcesGIS Sectionmailing and physical address208-287-4800208-287-6700gisinfo@idwr.idaho.govhttp://www.idwr.idaho.gov/GeographicInfo/NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.NoneFSA Digital Orthophoto Specifications.N/A 2d onlyUSDA-FSA Aerial Photography Field Office20090916Ada CO, ID12000CD/DVD20090916Majority Aerial Photography DateNAIPMosaicked Image20090916Flight planning was performed in IGIPlan from IGI. A 500m reduced resolution NED DEM file was used to determine ground heights. Altitudes averaging 35,000 feet MSL (mean sea level) were used in the flight plan.A minimum forward overlap of 60% and minimum side overlap of 35% were used. No ground elevation in the project area resulted in source pixel dimensions greater than 1.05m or less than 0.5m. Cessna Conquest aircraft were used for acquisition. The aircraft AGL was nominally 30,000 feet above ground. Three Intergraph Digital Mapping Camera (DMC) systems where utilized in the data capture. The DMC is a digital frame camera that produces a central perspective image with a nominal focal length of 120mm projecting an image on a virtual CCD measuring 13,824 by 7,680 pixels. The pixels are 12um by 12 um. Images from four panchromatic cameras modules, each with a 120mm lens projecting an image on a 7,168 by 4,096 CCD, are assembled to create the virtual frame. Images captured simultaneously from four 3,072 by 2,048 pixel multispectral (MS) cameras with 30mm lenses produce red, green, blue and near infrared images. These MS images are matched to the Pan virtual image using the Post Processing Software from Intergraph. All DMC systems used for capture have been calibrated by the manufacturer. The calibration includes measuring the radiometric and geometric properties of each camera. These data are used in the Post Processing Software to eliminate the radiometric and geometric distortion. The raw captured pixel resolution of the panchromatic virtual frame averages 0.92m across the project area depending on terrain height. Each pixel is assigned a 12 bit digital number (DN) by the analog to digital conversion performed after each exposure. Each pixel is resampled during orthorectification to an output resolution of 1m at a bit depth of 8 for each image band. Four bands of data were captured for each image; Blue: 400-580 nm, Green: 500-650 nm, Red: 590-675 nm and Near infrared: 675-850 nm. The final product may only include the RGB data. All aerial imagery was collected with associated GPS data. When possible most imagery will also include IMU data collection. GPS/IMU data were captured with either an Applanix POS 510 system or IGI AEROControl. The GPS data was utilized to control the aerial triangulation process. All imagery was processed through an aerial triangulation in which the airborne GPS data was constrained to expected limits. Analysis was performed to assure that all image frames fit within a strip and between strips by evaluating the image and airborne GPS residuals. The final adjustments assure a high quality relative adjustment and a high quality absolute adjustment limited to the airborne GPS data accuracy. This process assures the final absolute accuracy of all geopositioned imagery. Both signalized and photo identified ground control were used to QC and control the IMU/GPS based aerial triangulation bundle block solution. For each project area the latest NED was downloaded from the USGS National Map Seamless Serve website, http://seamless.usgs.gov/website/seamless/viewer.htm, in June 2009. 30 Meter NED was used in all cases. 30 meter post spacing was preferred over the available 10 meter spacing to minimize image smearing and distortions that are exacerbated by a finer, but not more accurate DEM. A visual inspection of the NED using color cycled classification by elevation and a shaded relief was performed to check for gaps, corruption and gross errors. When available the NED was compared to known higher quality elevation sources to detect flaws. Between 20-60 construction points per frame derived from conjugant image measurements performed during aerial triangulation were projected to the NED. The predicted horizontal error for each point was added as an attribute in the SURDEX enterprise database. An operator reviews ortho seams in areas these predicted errors indicate horizontal error in excess of the contract specifications. Any imagery errors introduced by source NED required patching from an alternate DEM or frame of photography with a different perspective. Hardware used included the DMC, various brands of L1/L2 Survey grade GPS receivers, various brands and models of computers, RAID5 storage, solid state storage, NEC brand calibrated monitors, various brands of monitor calibration colorimeters. Software included Intergraph Post Processing Software (PPS) to handle camera raw images processed to virtual frame panchromatic images and four band multispectral images. SURDEX software was used to color correct and remove bidirectional reflectance, vignetting and other illumination trends. USDA APFO Image Metrics are measured and images corrected to conform to the Image Metrics using SURDEX software. SURDEX software was then used to fuse the high resolution pan with the lower resolution multispectral image. This image was upsampled to match the pan resolution using bilinear interpolation and converted to a high resolution image via the Brovey Transform. GPS/IMU data was reduced to projected coordinates in the appropriate UTM zone using the Applanix or IGI office software. Aerial Triangulation was performed using Intergraph ImageStation Automatic Triangulation (ISAT), ImageStation Digital Mensuration (ISDM) and Photo-T bundle adjustment. SURDEX software was used to determine the weak points in the AT construction point distribution. SURDEX software was used to orthorectify the images. SURDEX software was used to compare overlapping orthoimages and correct for minor radiometric variation between adjacent images. SURDEX software was used to calculate the optimal seam path, check seam topology and create master tiles. SURDEX ortho software generates occlusion/smear polygons used during seam review to cut in the best view of steep terrain. SURDEX software was used to visually inspect master tiles for seam and image defects. SURDEX software was used to project and cut final DOQQ image files from masters. SURDEX software was used to perform final formatting, QC and naming of the DOQQ. Various versions of Microsoft Windows were used in all phases of production. For Radiometry, SURDEX Grouping Tool was used to display large groups of images, display individual and group histograms, and develop color correction parameters to adjust image DN. Grouping Tool provides real-time updates of the USDA APFO Image Metrics. The image technician adjusts image correction parameters to bring the radiometric characteristics of large groups of raw images within the Image Metrics ranges. Grouping Tool was used again after DOQQ production to provide a quality assurance check. Individual DOQQ may not meet the USDA APFO Image Metrics ranges due to land cover. The goal is to have the state as a whole meet the Image Metrics. To validate the accuracy of the block adjustment derived from GPS, IMU, camera parameters and conjugate point measurements photo identifiable ground control points will be surveyed within each State. In Idaho, 55 survey control points were utilized. These points were surveyed by GPS techniques to produce coordinates that are accurate to +/- 0.25 meters RMSE in X,Y,Z. The GPS surveying techniques utilized will assure that the coordinates are derived in the required project datum and relative to an approved National Reference System like OPUS. An accuracy report was generated to document the point locations, their description, the final adjusted values and the derived positional accuracy. The field surveying techniques may consist of static OPUS observations, static GPS observations, real time differential GPS observations and VRS observations. The control points were measured on multiple photographs, initially solved as check points and the bundle was rerun including all points as control. After the checkpoint run the residual errors were reviewed to determine the quality of the solution with only GPS and IMU based initial exterior orientation. If the block does not fit the control points within specifications the pass and tie points were reviewed for blunders and weak areas. If, after these corrections were made, the block still does not fit the control well the GPS and IMU processing were reviewed. Once the block has proper statistics and fits the control to specifications the final bundle adjustment was made. SURDEX software was used to predict the horizontal error that results from DEM error using AT construction points projected to the NED ground elevation. As AT points are frequently on man-made and other vertical features not included in the DEM these ortho points can only be used to indicate regions of error by the clusters of points that predict excessive horizontal displacement. If these areas were found the source of the error was corrected and the DOQQ were recreated. All reliable survey control points were remeasured in the final DOQQ to ensure the 6m CE95 absolute accuracy was met. All products are reviewed by independent personnel prior to delivery. The delivery is checked for omissions, commissions, naming, formatting, specification compliance and data integrity.20090322The quarter quad images were reprojected using a Python script originally created and modified by Mathew Stayner (Bowen Collins) and Trent Hare (USGS), respectively. The following projection parameters were used: coordinate system and datum were Idaho Transverse Mercator NAD 83, resampling technique was cubic convolution, cell size was 1 meter, and the registration point was set to 0,0.Eric RafnIdaho Water Resources REsearch InstituteGIS Analystmailing and physical address322 East Front StreetBoiseID83720-0098USA208-287-4800208-287-6700eric.rafn@idwr.idaho.gov20090423Create 100k mosaics in ERDAS Imagine 2010 Version 10.0 using MosaicPro tool:
1. Add all 6553 reprojected quarter quads to project file.
2. Set Output Image Options:
a. Method: Polygon Vector File
b. Vector Filename: all_extents.shp
c. Output Multiple Polygons To: A Single File
d. Attribute for File Name: NAME
e. Output Data Type: Unsigned 8 bit
f. Output Cell Sizes: X = 1.0 meters Y = 1.0 meters
g. Select Layers: 1:4
3. Run Mosaic:
a. Output: All
b. Ignore Input Values: 0
c. Output Background Value: 0
d. File name: NAME100k_naip2009_1m.jp2Margie WilkinsIdaho Department of Water ResoourcesGIS Analystmailing and physical address322 East Front StreetBoiseID83720-0098USA208-287-4800208-287-6700margie.wilkins@idwr.idaho.gov20100604Create MetadataMargie WilkinsIdaho Department of Water ResoourcesGIS Analystmailing and physical address322 East Front StreetBoiseID83720-0098USA208-287-4800208-287-6700margie.wilkins@idwr.idaho.govAda CO, IdahoRasterPixel56017809781row and column1.0000001.000000metersTransverse Mercator0.999600-114.00000042.0000002500000.0000001200000.000000North American Datum of 1983Geodetic Reference System 806378137.000000298.257222asht100k_naip2009_1m.jp2.vatOIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.ValueCountasht100k_naip2009_1m.jp2.vatOIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.ValueCountasht100k_naip2009_1m.jp2.vatOIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.ValueCountasht100k_naip2009_1m.jp2.vatOIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.ValueCountNoneNone32-bit pixels, 4 band color(RGBIR) values 0 - 255Downloadable DataAlthough these data have been processed successfully on a computer system at the Idaho Department of Water Resources, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data to evaluate data set limitations, restrictions or intended use. The Idaho Department of Water Resources shall not be held liable for improper or incorrect use of the data described and/or contained herein.NoneCD-ROMISO 9660DVD-RISO 9660USB/Firewire/SATA External Hard DriveNTFSIdaho Department of Water ResourcesGIS Sectionmailing and physical address322 East Front StreetBoiseID83720(208) 287-4800(208) 287-6700gisinfo@idwr.idaho.govhttp://www.idwr.idaho.gov/GeographicInfo/20100604FGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local time20140604Idaho Department of Water ResourcesMargie WilkinsGIS Analystmailing and physical address322 East Front StreetBoiseID83720(208) 287-4800(208) 287-6700gisinfo@idwr.idaho.govhttp://www.idwr.idaho.gov/GeographicInfo/Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000arco100k_naip2009_1m.jp22499801.52580779.51422572.51366555.51-114.002476-112.99245444.00428543.4955481ISO 19115 Geographic Information - MetadataDIS_ESRI1.0datasetfile://Y:\Imagery\NAIP\100k2009_1m\arco100k_naip2009_1m.jp2Local Area Network002Raster DatasetNAD_1983_Idaho_TM20100604