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Filtering by: Committee Member Cohen, Warren B. Committee Member Olsen, Michael J. Decade 2010-2019

Examination of airborne discrete-return lidar in prediction and identification of unique forest attributes

Creator:

Wing, Brian M.

Abstract:

Airborne discrete-return lidar is an active remote sensing technology capable of obtaining accurate, fine-resolution three-dimensional measurements over large areas. Discrete-return lidar data produce three-dimensional object characterizations in the form of point clouds defined by precise x, y and z coordinates. The data also provide intensity values for each point that...

Resource Type:

Dissertation

Full Text:

FOREST Brian M. Wing Martin W. Ritchie Kevin Boston Warren B. Cohen Alix Gitelman