20190105 07455700 1.0 TRUE TRUE 20190105 07455700 5_ft_Contors 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 AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAMP/ AISCL+2rzTvJfNqsZZ8dS4JGO361pClzp2IlPlFj1eVDiRFf3HBroeGi9mZqq+ol74igslQmyvZy 2ciCINt+vPvWDoTXmaKombEciyxh1PBGfpWbTW5dySkAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAFABQAUAFAGbqFkJIi8MQ84kFiAAW7c+tbUZqMtTOpFtaHPXWhRXd3HLMs6zxlSCszxjgkjI BAI5PWutzi9TGz2H6pYatGIPsMtqrl/mWcE7l9sHg0va83wj5LbkEGpSnWP7PVS08UIa5libCROc YQ55yRyPahSjLRoGmiWfT0n1NNRMky3KqoMqTMpKqSQpxwRkng+po9nDsHNLudHbNN56rJJuBj3Y xXLUUeW6XU2je+pfrEsKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAGsquMMAR6EUXa 2Ao3NgjJuRnUr8wAORn6VtCq07MzlBdDl7vWWnedNNgFzeJL5LKSVjVsA8sR274z6da6VZKyMn5k 1zp1zdX9lKtyUt4N0kscbEb2xhQfVeSfrjj0blqgS0Oh01ceYdxPAHJ6da5q72NaZo1gaBQAUAFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAZttrOnXbzJBeRSeS+yTaeA3cZ6H8KqMJS2Qn JLc5mG+sYZXhW2ksoRJtiEibVYtkjaeh6Hjtiu2DtGz0ZhJa3Rfvb6HS4curSSu3lxQqMtK/ovPJ /TiolLqNI3rKMrAHIw0mGI9K5qsru3Y1grIt1BQUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUA FABQAUAV57u1gys9xCnGcO4GR+NCVwOLs7j7PqZtXjVYriciyhhX5RGFXjjhR1/ya70vZxszmb5n cTUr23k1U6PNp09wZoy+NuUA54LZyDx+opqSa5Qs9yv4W1YapeyRRws1rFDE6R42tbtjaU5ALdDz jrkZ7DNvsyrHogxtGOmK42bi0AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAZ+r+eNKu TbyJHKIzh3zhR3PHfGaqHxIT2OAnj06C0sYZba3udKlGPOYBxvZsqT7EsTn1P5+haKS00Oa7Lllf BrE6jpVrbvcDNpA3nYRVD4z2zjBOBk8HrWdRc0VYqOj1L+t6ZHJp6X08kcN6CrNdKm1wi4LYPJGc H86zX8q6FeYywgmh0s6pBbxy3hRvKdZ2+eItuUEkenbn0z3puwFjSfFpl0+0lvrF7bzJ/s7l8gLn HlkZHIOR6fnxWE47yNE+h19ZlBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAGTr9rLd6J dRRM2/ZkKv8AHjnb9D0/x6U47oT2PONR03WpIbCKylzdQQZlLT7QDuBAwDk9MemB1r0XGWljnTRs tbx/Z9DS8uttys6PmJNweUKdynbwueeTUyd1YErM0ZZRr9vdWk0UtpcQMBlkB291ZT0P+fYnJLSx dzQdoNH0kuFcQW0edqDJIGM/zzS2AeyQX9iyud8MqdeoYEVXoI09Nt5bTT4beeZZpI12mRU2Ajtx k44xXGbl2gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAM7V9Qj0rSp7yXG1FwAzbQzE4Az 2ySKa3BnnGm3IXxPdNc3zF5MqiBMq3IG0EDjYeOuSSSelehF+9qcr2OhtNGt4rW0ik3yvbSGZZXY 7mkOcscHn7x46UuVId7iz69a25l3B/3NwkEnGMFhkH6e9S5JDSZp21zDe2iTphoZFzz3HvStcCrp VrPYT3Uf7sWe9TaopPyjaAUA7AHpj1/NNdB3OmtpRLApByQMHPrXLUjyyNYu6J6koKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgCtdQLdW7RlY2PVfMXcAw6HHsaa3BnCyeBWjs0cTn7TDFsEjL vyxkDl9vHORx0x+FdaqQk0rmDjJal1LWVtZF1vj8vyPKClPmB3ZJ3entW7VnczT6Fu3hsfOuXhET ytIvnYOSHUDGfQgYrOyZZXWW7sriSztdKU2qx74XRgFJz8ykdj6eufY1LbWw0WoJ1nto7lFkhZwG 8qRSrDPqDyDVxba1JehfsbrbKAxJDkKc9qyrU7oqEtTarkNwoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgA7UAef6dDfCC/SYvFK1zMYWkfzMLn5TjPA9q9NXscjtcs6XZMJf7QuLUQXzAxym NyUcA8HA4PTIJGeT05FRbvuVfsa8M0Us0lvHMhnjALJkFlB6ZHbNZyaKSKti897pnnXkX2e7R2jl QggbgT90nqCMc+9KFR3tYJR0JYCTIoDYJP69q3nsQtzoYn8yMN3PUe9edJWdjpTuiSkMKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoA5+LT55TIwAXBI+biu6VaMbI51Bsy7++n0mSFpbOSSJ nCyFeqZ4B29xn0rRtSV0Sk09S/a28EN/dagkjtLcIiOhxhQucY4znnuTWLg7lqSsWJtQjhgknmB8 qJCzFV3HAGemM/lUuFkPmuVGeOVFubZw0L8gg5xW9OXMrESVtTU0ufeXTPYH8en+Fc9eFrM0pvoa lcxqFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAEM1vFOpDopOMAkciqjOUXoJxT3OR 1p9R0lGeEWjRLGzyGUtkAdMYB9DXap865kc/LyuzLNte285AhmjkIVX+Vs/K33T9Dg1T1EWLaOGG KSOG2VEclnCLjk9TxUONne5V7k+lMBcgccqwB9elTiFeI6e5uVxm4UAFABQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFAHJvp8to9+LsRMLq7kmQomB5ZVQFb1PB/OurDdTGqVbXwxFp3kXSRy j7OrKh3/AMLHODjqB2zWilBysmS1K12a8bbI8g/MemKbV2C0RFFKY5UMR2sPbv0qpRunclOz0N+C QTRB8YPcehrgnHldjpTuiWpGFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAEckUcoAk RWA9RmhScdmJpPcdgAYwMdMUXGcrrlreNqtlDp52RmUPPhsHbg8ficV2U5twUpGEl71kMh07W11A iRLd7XaxBAIcHd8o6kEY6+/ar9tDq9Bcj7HR2Uc0UbLKijnOQetclVxk7xNYJrcuVmWFABQAUAFA BQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAQC3jE5mxlyMZPb6VXO+Xl6C5Ve5PUjCgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgD// 2Q==