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imagery/Orthoimagery_NMDOQQ_1m_2005 (ImageServer)

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Service Description: A Digital Orthophoto Quarter-Quadrangle (DOQQ) is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed. An orthophoto combines the image characteristics of a photograph with the geometric qualities of a map. The geographic extent of the DOQQ is equivalent to a quarter of a 7.5-minute map (3.75 minutes of latitude and longitude) with overedge. The overedge ranges from a minimum of 300 meters to a maximum of 600 meters beyond the extremes of the NAD83 datum 3.75-minute latitude and longitude boundaries. DOQQs are produced with a 1-meter ground sample distance (GSD) and are cast on the Universal Transverse Mercator (UTM) projection on the North American Datum of 1983 (NAD83). Each DOQQ is produced to meet a National Map Accuracy Standard (NMAS) for 1:12000 scale maps (10.16 meters radial error at a 90% probability). The 2005 DOQQs were derived from the NM Statewide Orthophotography Project source imagery flown at 35,000 feet above average ground using multiple source images for each DOQQ. NM Statewide Orthophotography Project imagery was flown during the irrigation season, hence leaf-on for deciduous vegetation. The imagery that was used to create this DOQQ was flown 10-45 minutes outside of the flying time for optimal sun angle. The 2005 DOQQs are available in two formats. These metadata describe both file types. The GeoTIFFs are uncompressed files, and due to file size limitations, are not available for downloading from the Resource Geographic Information System Program (RGIS) website. Therefore, they are available only through the custom order process described in the Distribution section of these metadata. The Enhanced Compressed Wavelet (ECW) files have been created from the GeoTIFFs and are a 1:15 compression of the GeoTIFF file. The compression creates a smaller file size that can be downloaded easily from the RGIS website and are readily available. RGIS provides these geographic data "as is" and makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. RGIS further makes no warranties, either expressed or implied as to any other matter whatsoever, including, without limitation, the condition of the product, or its fitness for any particular purpose. The burden for determining fitness for use lies entirely with the user. Although these data have been processed successfully on computers of BHI and served by RGIS, no warranty, expressed or implied, is made by RGIS or BHI regarding the use of these data on any other system, nor does the fact of distribution constitute or imply any such warranty. In no event shall RGIS or BHI have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of use of or reliance on the geographic data or arising out of the delivery, installation, operation, or support by RGIS. All tagged data and image files are validated using commercial GIS software to ensure proper loading before being archived. This validation procedure ensures correct physical format and field values for tagged elements. Seamlines and the tile edges are visually inspected. Orthorectified images are visually inspected for completeness to ensure that no gaps or image misplacements exist within the 3.75-minute image area or the overedge coverage. DOQQs are cloud-free imagery. DOQQs are produced with overedge coverage, ranging from a minimum of 300 meters to a maximum of 600 meters beyond the extremes of the NAD83 datum 3.75-minute latitude and longitude boundaries. The resulting DOQQ is a rectangle whose size may vary in relation to adjoining DOQQs. Source images are collected with a digital sensor with 4096 brightness values (12 bit) per band. Each image's histogram is clipped at high and low values to increase contrast, and then a digital dodge is performed in order to reduce vignetting of brightness and darkness trends across the frame. Radiometry is verified by visual inspection of the digital orthophoto. Where possible, radiometry is verified by visual inspection of the digital orthophoto with the original unrectified image. Slight systematic radiometric differences may exist between adjacent orthoimage files; these are due primarily to differences in source image capture dates and sun angles along flight lines. These differences can be observed in an image's general lightness or darkness when it is compared to adjacent orthoimage file coverages. Tonal balancing may be performed over a group of images during the mosaicking process which may serve to lighten or darken adjacent images for better color tone matching. The DOQQ horizontal positional accuracy and the assurance of that accuracy depend, in part, on the accuracy of the data inputs to the rectification process (elevation data, aerotriangulation control and methods, camera calibration, scanner calibration, and source imagery parameters). DOQQs are produced to meet NMAS requirements for 1:12000-scale products. Quality control consisted of the contractor checking elevation data against current project control points for vertical discrepancies, and the U.S. Geological Survey checking orthorectified images against GPS collected roads and previous editions of the same DOQQ. The DOQQ's have not been field checked by a third party for objective accuracy against ground features, but over 90% of permanent identifiable locations in the image have been sampled and found to adhere to within 3.0 meters of preexisting linework and imagery. Airborne GPS/IMU data were collected in flight as images were captured and post-processed and network adjusted. Images were orthorectified to remove distortions caused by changes in the elevation of the terrain. The orthorectification process used an exponential interpolation method and a ground elevation sampling interval of four pixels. Before orthorectification, each image has its histogram clipped to provide an optimum contrast. All three bands (red, green, and blue) are clipped at the same values to preserve relative color values. Each image is resampled to 256 brightness values (8 bits) per band. Images were electronically dodged to even out lightness and darkness values across each frame. The dodging used a kernel size of 15 pixels, and a maximum shift of 35 brightness values (out of 256) in either the negative or positive direction. Raw image data was captured using an Intergraph Digital Mapping Camera (DMC) having a focal length of 120mm, an effective charge coupled device (CCD) array size of 168mm across track (left to right) by 95mm along track (top to bottom), and a pixel size in its panchromatic band of 12 by 12 microns. Output images were created using post-processing software which removes lens distortion and pan-sharpens color data with a panchromatic image taken at the same instant. Images were tonally balanced and color corrected individually. A global tilt was performed across large areas in order to minimize obvious color changes between adjacent images. Seamlines were created automatically via a best path algorithm, and orthomosaics created. Tiles were cut for each DOQQ. Images were checked for gaps, smears caused by missing surface, and these were fixed and re-created. Non-surface features such as bridges warped by the orthorectification or excessive building lean were patched in with versions from unrectified photos. Obvious color differences that remained between source images were feathered. Control panels were laid down and their positions recorded with static GPS. Positions were then corrected and network adjusted. Airborne GPS positions were computed by 3001, Inc. and used as control in the aerotriangulation process. Raw image data was captured using an Intergraph Digital Mapping Camera (DMC) having a focal length of 120mm, an effective charge coupled device (CCD) array size of 168mm across track (left to right) by 95mm along track (top to bottom), and a pixel size in its panchromatic band of 12 by 12 microns. Aerotriangulation provides the exterior orientation parameters ( X, Y, Z, omega, phi, kappa) for input to the orthorectification process.

Name: imagery/Orthoimagery_NMDOQQ_1m_2005

Description: A Digital Orthophoto Quarter-Quadrangle (DOQQ) is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed. An orthophoto combines the image characteristics of a photograph with the geometric qualities of a map. The geographic extent of the DOQQ is equivalent to a quarter of a 7.5-minute map (3.75 minutes of latitude and longitude) with overedge. The overedge ranges from a minimum of 300 meters to a maximum of 600 meters beyond the extremes of the NAD83 datum 3.75-minute latitude and longitude boundaries. DOQQs are produced with a 1-meter ground sample distance (GSD) and are cast on the Universal Transverse Mercator (UTM) projection on the North American Datum of 1983 (NAD83). Each DOQQ is produced to meet a National Map Accuracy Standard (NMAS) for 1:12000 scale maps (10.16 meters radial error at a 90% probability). The 2005 DOQQs were derived from the NM Statewide Orthophotography Project source imagery flown at 35,000 feet above average ground using multiple source images for each DOQQ. NM Statewide Orthophotography Project imagery was flown during the irrigation season, hence leaf-on for deciduous vegetation. The imagery that was used to create this DOQQ was flown 10-45 minutes outside of the flying time for optimal sun angle. The 2005 DOQQs are available in two formats. These metadata describe both file types. The GeoTIFFs are uncompressed files, and due to file size limitations, are not available for downloading from the Resource Geographic Information System Program (RGIS) website. Therefore, they are available only through the custom order process described in the Distribution section of these metadata. The Enhanced Compressed Wavelet (ECW) files have been created from the GeoTIFFs and are a 1:15 compression of the GeoTIFF file. The compression creates a smaller file size that can be downloaded easily from the RGIS website and are readily available. RGIS provides these geographic data "as is" and makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. RGIS further makes no warranties, either expressed or implied as to any other matter whatsoever, including, without limitation, the condition of the product, or its fitness for any particular purpose. The burden for determining fitness for use lies entirely with the user. Although these data have been processed successfully on computers of BHI and served by RGIS, no warranty, expressed or implied, is made by RGIS or BHI regarding the use of these data on any other system, nor does the fact of distribution constitute or imply any such warranty. In no event shall RGIS or BHI have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of use of or reliance on the geographic data or arising out of the delivery, installation, operation, or support by RGIS. All tagged data and image files are validated using commercial GIS software to ensure proper loading before being archived. This validation procedure ensures correct physical format and field values for tagged elements. Seamlines and the tile edges are visually inspected. Orthorectified images are visually inspected for completeness to ensure that no gaps or image misplacements exist within the 3.75-minute image area or the overedge coverage. DOQQs are cloud-free imagery. DOQQs are produced with overedge coverage, ranging from a minimum of 300 meters to a maximum of 600 meters beyond the extremes of the NAD83 datum 3.75-minute latitude and longitude boundaries. The resulting DOQQ is a rectangle whose size may vary in relation to adjoining DOQQs. Source images are collected with a digital sensor with 4096 brightness values (12 bit) per band. Each image's histogram is clipped at high and low values to increase contrast, and then a digital dodge is performed in order to reduce vignetting of brightness and darkness trends across the frame. Radiometry is verified by visual inspection of the digital orthophoto. Where possible, radiometry is verified by visual inspection of the digital orthophoto with the original unrectified image. Slight systematic radiometric differences may exist between adjacent orthoimage files; these are due primarily to differences in source image capture dates and sun angles along flight lines. These differences can be observed in an image's general lightness or darkness when it is compared to adjacent orthoimage file coverages. Tonal balancing may be performed over a group of images during the mosaicking process which may serve to lighten or darken adjacent images for better color tone matching. The DOQQ horizontal positional accuracy and the assurance of that accuracy depend, in part, on the accuracy of the data inputs to the rectification process (elevation data, aerotriangulation control and methods, camera calibration, scanner calibration, and source imagery parameters). DOQQs are produced to meet NMAS requirements for 1:12000-scale products. Quality control consisted of the contractor checking elevation data against current project control points for vertical discrepancies, and the U.S. Geological Survey checking orthorectified images against GPS collected roads and previous editions of the same DOQQ. The DOQQ's have not been field checked by a third party for objective accuracy against ground features, but over 90% of permanent identifiable locations in the image have been sampled and found to adhere to within 3.0 meters of preexisting linework and imagery. Airborne GPS/IMU data were collected in flight as images were captured and post-processed and network adjusted. Images were orthorectified to remove distortions caused by changes in the elevation of the terrain. The orthorectification process used an exponential interpolation method and a ground elevation sampling interval of four pixels. Before orthorectification, each image has its histogram clipped to provide an optimum contrast. All three bands (red, green, and blue) are clipped at the same values to preserve relative color values. Each image is resampled to 256 brightness values (8 bits) per band. Images were electronically dodged to even out lightness and darkness values across each frame. The dodging used a kernel size of 15 pixels, and a maximum shift of 35 brightness values (out of 256) in either the negative or positive direction. Raw image data was captured using an Intergraph Digital Mapping Camera (DMC) having a focal length of 120mm, an effective charge coupled device (CCD) array size of 168mm across track (left to right) by 95mm along track (top to bottom), and a pixel size in its panchromatic band of 12 by 12 microns. Output images were created using post-processing software which removes lens distortion and pan-sharpens color data with a panchromatic image taken at the same instant. Images were tonally balanced and color corrected individually. A global tilt was performed across large areas in order to minimize obvious color changes between adjacent images. Seamlines were created automatically via a best path algorithm, and orthomosaics created. Tiles were cut for each DOQQ. Images were checked for gaps, smears caused by missing surface, and these were fixed and re-created. Non-surface features such as bridges warped by the orthorectification or excessive building lean were patched in with versions from unrectified photos. Obvious color differences that remained between source images were feathered. Control panels were laid down and their positions recorded with static GPS. Positions were then corrected and network adjusted. Airborne GPS positions were computed by 3001, Inc. and used as control in the aerotriangulation process. Raw image data was captured using an Intergraph Digital Mapping Camera (DMC) having a focal length of 120mm, an effective charge coupled device (CCD) array size of 168mm across track (left to right) by 95mm along track (top to bottom), and a pixel size in its panchromatic band of 12 by 12 microns. Aerotriangulation provides the exterior orientation parameters ( X, Y, Z, omega, phi, kappa) for input to the orthorectification process.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 3.2808333290408993

Pixel Size Y: 3.2808333290408993

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "A No-Op Function.", "help": "" }]}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0, 0, 0

Max Values: 255, 255, 255

Mean Values: 84.3624717549866, 89.88055949209028, 92.89547871330386

Standard Deviation Values: 40.02427822039565, 35.0562695047476, 30.317760586915774

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: null

Allow Analysis: null

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project