Brian S. Keiling Program Head – Forest Management Dabney S.Lancaster Community College
Class of
LIDAR, LiDAR, LIDaR, lidar and LADAR(laser altimetry). Light detection and ranging Laser Imaging, Detection and Ranging Combining the words light and radar
education.psu.edu/lidar/l1_p3.html Active versus Passive Remote Sensing
Airborne Topographic Bathymeric Terrestrial Mobile Stationary
Active Remote Sensing method. Laser pulses are reflected from objects on or near the ground. XYZ data collected. High density of data points collected.
Blue –Green laser that can penetrate water and provide bottomland terrain modeling. Water penetration down to 50 meters but clarity is a limiting factor. Often flown simultaneously with digital cameras and hyperspectral sensors.
Collection of 360 degree field of view Very accurate and highly precise data collection Provides detailed streetscape and roadway GIS data Ability to see where airborne lidar cannot
Mobile mapping streetscape point cloud Finished streetscape from mobile mapping project
Easter Island Moai
Multiple returns. First is the highest object. Up to five (5) returns per pulse. Last is not always the ground /index.html#//015w
Classification ValueClassification Type 0Never Classified 1Unassigned 2Ground 3Low Vegetation 4Medium Vegetation 5High Vegetation 6Building 7Noise 8Model Key 9Water 10Reserved for ASPRS Definition 11Reserved for ASPRS Definition 12Overlap 13–31Reserved for ASPRS Definition
LAS – specification for a point cloud file format with x,y,z and other attributes. ASCII – original format for LIDAR data. LAZ – lossless LIDAR Compression. Data we will use compressed from 164 mb to 29 mb. LAS Dataset –LAS storage for use in ArcGIS. Convert into TIN, DEM, contours and others.
Flooding Coastline erosion- changes Vegetation Forestry Improving accuracy and resolution of basemaps. Planning Urban Growth
Virginia- William and Mary hosts state LIDAR USGS CLICK: Center for LIDAR Information Coordination and Knowledge (not compressed!) LIDAR LINKS for mappers
Student service learning project. VWCC, TNCC and DSLCC Tree inventory and analysis as part of a Geospatial Technology project Student participation from both GIS and Forestry disciplines
Google Earth Image Lidar point cloud classified with elevation of the return.
State Record Sassafras
Utilizing the point cloud to provide tree canopy width measurements
Utilizing the point cloud to provide tree height measurements
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Questions?