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Learning Geospatial Analysis with Python - Second Edition by Joel Lawhead

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Working with LIDAR

LIDAR stands for Light Detection and Ranging. It is similar to radar-based images but uses finite laser beams, which hit the ground hundreds of thousands of times per second to collect a huge amount of very fine (x,y,z) locations as well as time and intensity. The intensity value is what really separates LIDAR from other data types. For example, the asphalt rooftop of a building may be of the same elevation as the top of a nearby tree, but the intensities will be different. Just like the remote sensing radiance values in a multispectral satellite image allow us to build classification libraries, the intensity values of LIDAR data allow us to classify and colorize LIDAR data.

The high volume and precision of LIDAR actually makes ...

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