20190105 07415500 1.0 TRUE TRUE 20190105 07415500 2_ft_Contours The LiDAR survey occurred between July 31, 2015 and October 15, 1015 utilizing a Leica ALS80 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 369 kHz and flown at 1,500 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces. To solve for laser point position, an accurate description of aircraft position and attitude is vital. Aircraft position is described as x, y, and z and was measured twice per second (two hertz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 hertz) from an onboard inertial measurement unit (IMU). The LiDAR sensor operators constantly monitored the data collection settings during acquisition of the data, including pulse rate, power setting, scan rate, gain, field of view, and pulse mode. For each flight, the crew performed airborne calibration maneuvers designed to improve the calibration results during the data processing stage. They were also in constant communication with the ground crew to ensure proper ground GPS coverage for data quality. The LiDAR coverage was completed with no data gaps or voids, barring non-reflective surfaces (e.g., open water, wet asphalt). All necessary measures were taken to acquire data under good conditions (e.g., minimum cloud decks) and in a manner (e.g., adherence to flight plans) that prevented the possibility of data gaps. All QSI LiDAR systems are calibrated per the manufacturer and our own specifications, and tested by QSI for internal consistency for every mission using proprietary methods. OLC Chelan Project Overview Map OLC Chelan FEMA Data LiDAR Acquisition Dates 7/31/2015 - 10/15/2015 Area of Interest 201,078 acres Date Extent 215,029 acres Projection Universal Transverse Mercator (UTM) 10 North Horizontal Datum Vertical Datum NAD83 (2011), Epoch 2010.00 NAVD88 (Geoid 12A) Aerial Acquisition Vertical Accuracy Vertical Accuracy Results Hard Surface Sample Size (n) n = 123 GSPs FVA (RMSE*1.96) 0.038 m (0.123 ft.) Root Mean Square Error 0.019 m (0.063 ft.) 1 Standard Deviation 0.015 m (0.049 ft.) 2 Standard Deviations 0.039 m (0.127 ft.) Average Deviation 0.014 m (0.044 ft.) Minimum Deviation -0.080 m (-0.262 ft.) Maximum Deviation 0.052 m (0.171 ft.) Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2004). The statistical model compares known ground survey points (GSPs) to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a “very high probability” that the sensor will measure the ground surface and reports the fundamental vertical accuracy value (FVA=1.96*RMSE). For the OLC Chelan FEMA study area, a total of 2,230 GSPs were collected. An additional 123 reserved ground survey points were collected for independent verification, resulting in a fundamental vertical accuracy (FVA) of 0.038 FEMA LIDAR 2015 OLC Chelan FEMA FEMA /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAOX8 ReIdQ0a7hS30v7XAygs4Yg5JIxwDgcDnnrjHetIQ57lRjzDI9c1GV5IhEkUiNnMqF0KknGCCOePw roeHi12NvZJmnZaqfIUXrL53O5o0KqeeMAknp71lLDSW2pDovoacdxFN/q5Fb2B5rGUJR3Rm4tbk tIQUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAFPUYGuLQqi5cEECtaM1GV2XTlyy 1OPm0y+s76a5gVHeUYEc+5ccjo3PHU4x7ZFdqknrFnSmnqhdKsryG1+13scsM0/WJpy4HJOQMnby Txk8YGeKUJX0FF3NDayjdyPStLplkq3NycATSf8AfRqHTh2J5Y9h+mXl5LbCSZijNOY1VsnKhiAe R3GDWFSMb7Gckux0dchzhQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQA1lVhhgCPQih O2wFKbTIZAdmYyfTp+VbRryW+ppGq1ucjBcKdZ1FJXm8y1IT5nbywpAPQgKDwfU47811xabubx1H QXyQRxLdXaSSTK0qmMZUJ16gdOQAT1qr23Hc1tLYTz27qTsPzAMCO2eh6VFZrkbJqP3WdLXnnKFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAhYL1IH1osByGuRWz6yyyi1kt7mEeYGx kspOAfUYzXZQenKzop7WZVkR900r6QkpACJ8ylpRnK/QZ55PHpWre+hbZ0GkQs7CZ0WMheVVtwDH tnvisK8/d5TOrLSxtVymAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUANZtqknPAzwM 0AcaL8zfarud5UheYsnnr5eFwAPlJOOg64J64Ga7qEOWN2dVONlcpX0zS6pBaJDazxbT5qOQZFJH UDPAx1/3hWjettymR6XO8VtHdTyPHZD5Fi2cqpIxkDoVYkHPYc1NmldEq61Oy0q5glE0ERYtCRvL LjORkEfqPwrjqtuephUvzamnWZAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBU1BblrK VbV1SYjAZv4fce9NbgjipbzVIdP8iTUbqS42bmSMAvzhQAwAxzyT169q7vYwS2OrkjYBqFu16bPU kEYhiSd3ZjtOOW5xjA46+tW3pYpvoQzWcV7e3OqwwBmhm/csWLCR1GwkgdMYxx6VEV1JSIpre4za ee4gS7kYTwEb0LsM89QQQMEdOc1TWg2joNO1trTEd9ZvBHiQySp8yxlB04HKkAkH8Mc1z1YOVpJG VSLeqOnjkSWNZI2DIwDKw6EGuYxJKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAjlO2Jy ASQpOB3prcEcE80s63l0git7nbs3M6tsUEkkgcAjJOK9JbaHYivDp0cslnLCBc28jebLNM25gVVQ oBB9VBIORx9KEkFiazvLVLx4klljWNjbiJjlN+S24npuOR15/OpjbmErXLupwLc6dOm5lIXerKcE MOQR+IFVLYb2IZY5dTjhjkX/AEWaESM8bBWjkBBBBz+WM9Kn1EdTpVxC0H2WMBXt1VWQDAAPTA+l cVWKU3Y55q0tDTrMgKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAPSgDzOSNI9VuL5ILUwP 8rXBGQEBw4IHViRj8B1xivT63OzzLE0unWtpHpTyS28bYaKUnALM+QFPqCR+YpaLQNER21k8TyQ2 rEzQTJva4A+dNvHIHOMkj0NNLsFjRsYpUDTyl1kmCs8RIIRgMHH5CmkMsR3MUk8kCMDJFjepHIz0 /Pn8vagZf0iNk1OeQRxrG0ShmCAOzAnGT1IAJ9hXFiF71zmqrW50FYGQUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFAEcoDROMsAVIyvUfSgDgzojEXcbFSnC22ULeUAuASD1OST+VektjsS0Jlt JvN8uQxy2gt1TYyjO8Hk/QjHftVWHYNJ/tJIZTqDoWZ8xgAAhdoBDY4znPQnrSSfUS8y8WHGSAOm TVFEcluknmYG13TYZE4fHsetIRJaS3NrBtWdDdBCA5Xj2JXPPbuKzqQ5lYmUbqx0lpLJNaRSSxmO RkBZMg7T6ZHFcDVtDkLFIAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAKd5JHbWryNGGDMq sBxnJC/1oTaHdnHXN5Hc3HkpHIbO4eWHeoIKkEjOf7pAOD9PWvRjK8Udad0iJLWeS7iX7YXS348y OTDjoSrjkNkY7ZA/M1bULF6+S0ezlW82fZiPn8w4GKp7ajfmT7DFb5VXYIvAzknHuep+tK4XKkCW 97JbanCWDbOGHyl1IPyt7AnOOxH1pWT1Cyep1WmSCS0Vc8pwa4q8bTuc1VWkXqxMwoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAKAI5okniaORFdT/CwyDQB51JoltqNqEBdfKlk2M2CD84yRjt8u B0rvpxTgjqirxRVCw6ZrbixtZUIDs6qWZZBsJChei8jjtxweoq9noPZ6G1D9ovJhHPAUtpLYFwcc Oeq9c8D2p3aKLkVnFbS+bFNID5SxFC2QQucHJ5J5Peotrcm2pH/pS3jq8cZtsZR1f5s8cEYx69DV pspGjYXRhuFBztb5T/Ssq1PmiRUjdHQVwnKFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AVLewtbU5giVB0CqMBfoO1U6kmlEpybVitd6NBcSrOiqk4z82M9etaU67jo9S4VGtzJmiaN3ifIP KnBxXampK6OhPmVzPOnOuzyL66j2sWIZ/M3Zxwd2TgY4APenYLFiS8iguYLeUlTPuCN2LAZ2/XGT +BobsDLC/LIMHpzQ9UG6OqryziCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAwNb uViuIYmVArqW34JbduVQOB0O7r7Vvh52lZmtKVnYwL6+lhaWHypIxhAtwo3Bd2RnGOxA49xXa2dD ZbtJRc2kMxKsWUNlc4z7ZANC1Q0WeCeOg9aYjobKdZ7ZCGywADfWvNqwcZM5JxsyzUEhQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBQ1OxS/tljb70ciyJzj5h0rSlJRldlQaTuxlrpsax f6QitJk8gnpV1K7b916Fyqu/umJd2U2lSW8UFuZLI/JvD5aM9sg9R15zXRSqqehrCfNoQfbIPtRt vM/e91weOM9enStrou5rabIUnQbxhvlIJ/H/AD9a568bxZnVWhvVxHMFABQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFABQAUAYviO3u7rSHt7IlblyNhBIwRz19K1otJts0p6NsZbaFHPptvH qcaSThQZMHK7sckcVTxErjdVl2DSbO2REjiwqABRngAdBUuvNqxLqSNCsiAoAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAP/Z