20200112
10374400
1.0
FGDC CSDGM Metadata
FALSE
Anaktuvuk_Pass_2019.sid
1386125.000000
1427047.500000
5152704.500000
5196926.000000
1
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Alaska_4_FIPS_5004_Feet
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8
FALSE
Wavelet (MG4)
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MrSID
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continuous
unsigned integer
20200219
10331300
20200219
10331300
Quantum Spatial, Inc.
Orthophoto Technician
907-272-4495
907-274-3265
2014 Merrill Field Drive
Anchorage
Alaska
99501
US
alaska@quantumspatial.com
8am to 5pm Alaska Time
20200219
ArcGIS Metadata
1.0
Quantum Spatial, Inc.
Project Manager
907-272-4495
907-274-3265
2014 Merrill Field Drive
Anchorage
Alaska
99501
US
alaska@quantumspatial.com
8am to 5pm Alaska Time
Contact distributor for information
TIFF
6.0
no compression applied
72
72
megabytes
universal
Raster Dataset
Anaktuvuk_Pass_2019.sid
2020-01-09
Quantum Spatial, Inc.
Quantum Spatial, Inc.
Anchorage, Alaska, USA
remote-sensing image
Digital Orthomosaic of the Anaktuvuk Pass area based on July 22, 2019 aerial photography with a pixel ground resolution of 0.5 ft.
Provide visual backdrop for vector data
Quantum Spatial, Inc.
Project Manager
907 272-4495
907 274-3265
2014 Merrill Field Dr.
Anchorage
Alaska
99501
US
alaska@quantumspatial.com
8am - 5pm Alaska Time, M-F
Anaktuvuk Pass
US
Alaska
July 2019
Orthophoto
Orthomosaic
Orthophoto
Anaktuvuk Pass
July 2019
Orthomosaic
US
Alaska
Although these data have been processed successfully on a computer system at Quantum Spatial, no warranty expressed or implied is made by Quantum Spatial regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Quantum Spatial shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results.
Restricted to Client
Restricted to Client
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450
-151.096207
-150.770606
70.176656
70.260961
Quantum Spatial Job # 33569
1
-151.870423
-151.561348
68.209712
68.085803
Restricted to Client
Restricted to Client
The file was loaded into ArcMap 10.0 to ensure proper tile size, location, and alignment.
This file covers the area of interest in its entirety.
14 check point coordinates were measured to compare the aerotriangulated value of the points to their observed position in the mosaic to ensure the data meets horizontal accuracy requirement.
Average of the sum of the mosaic observed positions versus the aerotriangulated and surveyed locations.
0.19 ft RMSE
MrSID Creation: A compressed mosaic is created using GeoExpress 9.0
2020-01-10
Final Orthorectified Mosaic Tiles
MrSID MG4 Mosaic Tiles
Orthorectification Process: Inpho OrthoMaster software was used to process the imagery to remove systematic and terrain distortions while also georeferencing it. The resulting output files were output with a ground sample distance (GSD) of 0.5 ft.
2019-12-27
Aerotriangulation Report
Aerial Photography
2018 Alaska North Slope Borough 3DEP LiDAR
Digital Orthorectified Aerial Photography
Aerial Photography Capture: A twin-engine aircraft with an on-board Vexcel frame-based digital mapping camera (UCE) was used to capture individual frames of imagery. The position and orientation of the aircraft was recorded at each exposure with the on-board global positioning system (GPS) and inertial measuring unit (IMU).
2019-07-22
Flight Plan
Aerial Photography
IMU Orientation Data
GPS Position Data
Aerotriangulation Process: The aerotriangulation was performed using the initial GPS/IMU data and was refined using conventional photogrammetric methods.
2019-09-22
IMU Orientation Data
Aerial Photography
GPS Position Data
Aerial Camera Calibration Report
Surveyed Photo-Identifiable Ground Control Data
Aerotriangulation Report
Header Creation and Horizontal Checks: The mosaic tiles have their georeferencing information assigned using GDAL 2.2.1 (Geospatial Data Abstraction Library) into the headers of the tiles creating Geotiffs. The tiles are then checked for horizontal positioning utilizing ground control.
2020-01-10
Reviewed Orthorectified Mosaic Tiles
Surveyed Photo-Identifiable Ground Control Data
Final Orthorectified Mosaic Tiles
DEM Process: Existing LiDAR data was evaluated and updated photogrammetrically to eliminate all returns not classified as ground.
2019-10-20
2018 Alaska North Slope Borough 3DEP LiDAR
Vector Digital Elevation Data
Mosaic Process: Inpho OrthoVista software was used to color-balance, automatically generate seamlines, and mosaic the individual orthophotos into user defined mosaic tiles.
2019-12-27
Digital Orthorectified Aerial Photography
Initial Orthorectified Mosaic Tiles
Tile Review: The mosaicked tiles were each individually panned through and errors/blemishes in seamline generation and color balance are removed by manual methods. This data set was also compared to imagery previously collected, processed, and delivered to the client in order to shift the overall color cast of the current imagery to better resemble the legacy data.
2020-01-03
Initial Orthorectified Mosaic Tiles
Reviewed Orthorectified Mosaic Tiles
This photography provided the base imagery required to create the orthophotos.
Aerial Photography
Aerial Photography
Quantum Spatial, Inc.
remote-sensing image
Provided the initial aircraft attitude/orientation for each exposure.
IMU Data
IMU Orientation Data
Quantum Spatial, Inc.
tabular digital data
Provided the initial X, Y, and Z location for each exposure.
GPS Data
GPS Position Data
Quantum Spatial, Inc.
tabular digital data
The DEM was used in the construction of the orthomosaic to correct for terrain distortion.
Vector Digital Elevation Data
2018 Alaska North Slope Borough 3DEP LiDAR
Quantum Spatial, Inc.
Quantum Spatial, Inc.
Anchorage, AK
tabular digital data
This data provided the coordinates for aerotriangulation refinement of the initial photo exposure positions and horizontal accuracy checks for the final tiles.
Ground Control
Surveyed Photo-Identifiable Ground Control
Umiaq Design and Municipal Services LLC
document
2
88443
0.500000
81845
0.500000
1
0
1386125.000000 5152704.500000
1386125.000000 5196926.000000
1427047.500000 5196926.000000
1427047.500000 5152704.500000
1406586.250000 5174815.250000
The orthomosaic is a 4-band image.
This data consists of four bands of information with data values ranging from 0-255 with 0 being black and 255 for white. When 3 of the 4 bands is assigned to the appropriate colors of red, green, and blue, the pixel value shall determine the brightness of that particular color with the combination of the three providing the designated color image for the chosen band combination.
dataset
Esri
10.2.1
Band_1
255.000000
0.000000
8
Band_2
255.000000
0.000000
8
Band_3
255.000000
0.000000
8
Band_4
250.000000
0.000000
8
Band_5
255.000000
0.000000
8