oregon lidar data standard call for endorsement

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Oregon Lidar Data Standard Call for Endorsement FIT Forum, November 10, 2010

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Oregon Lidar Data Standard Call for Endorsement. FIT Forum, November 10, 2010. Data standa r d applies only to lidar points which are the XYZ coordinates of random samples of surface of the earth Lidar points shall be in LAS 1.1 or 1.2 format (ASPRS standard) - PowerPoint PPT Presentation

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Page 1: Oregon Lidar Data Standard Call for Endorsement

Oregon Lidar Data StandardCall for Endorsement

FIT Forum, November 10, 2010

Page 2: Oregon Lidar Data Standard Call for Endorsement
Page 3: Oregon Lidar Data Standard Call for Endorsement

•Data standard applies only to lidar points which are the XYZ coordinates of random samples of surface of the earth•Lidar points shall be in LAS 1.1 or 1.2 format (ASPRS standard)•Lidar points shall be collected at a minimum pulse density of 4/m2

•Lidar points shall be collected with a vertical accuracy of 20 cm RMSE or better on flat unobstructed surfaces•NAVD88 preferred, Oregon Lambert, UTM, State Plane preferred•Metadata shall include a process description covering flying height, IMU and GPS parameters, pulse density, sampling frequency and swath overlap

Item Format Size RequiredX long 4 bytes *Y long 4 bytes *Z long 4 bytes *Intensity unsigned short 2 bytes *Return Number 3 bits (bits 0-2) 3 bits *Number of Returns (given pulse) 3 bits (bits 3-5) 3 bits *Scan Direction Flag 1 bit (bit 6) 1 bit *Edge of Flight Line 1 bit (bit 7) 1 bit * Classification unsigned char 1 byte * `Scan Angle Rank (-90 to +90) – Left side unsigned char 1 byte * User Data unsigned char 1 bytePoint Source ID unsigned short 2 bytes *(1.2 format 1) GPS Time double 8 bytes *(1.2 format 2) Red unsigned short 2 bytes *(1.2 format 2) Green unsigned short 2 bytes *(1.2 format 2) Blue unsigned short 2 bytes *

LAS attributes

Page 4: Oregon Lidar Data Standard Call for Endorsement

Next Steps

Do we need further standards for GIS products derived from lidar points?

•DEMs; resolution, filtering, interpolation•Contours; filtering, accuracy•Intensity images: methods, format, normalization