LiDAR
Principles, Processing and Applications in Forest Ecology introduces the
principles of LiDAR technology and explains how to collect and process LiDAR
data from different platforms based on real-world experience. The book provides
state-of the-art algorithms on how to extract forest parameters from LiDAR and
explains how to use them in forest ecology. It gives an interdisciplinary view,
from the perspective of remote sensing and forest ecology. Because LiDAR is
still rapidly developing, researchers must use programming languages to
understand and process LiDAR data instead of established software. In response,
this book provides Python code examples and sample data. Sections give a brief
history and introduce the principles of LiDAR, as well as three commonly seen
LiDAR platforms. The book lays out step-by-step coverage of LiDAR data
processing and forest structure parameter extraction, complete with Python
examples. Given the increasing usefulness of LiDAR in forest ecology, this
volume represents an important resource for researchers, students and forest
managers to better understand LiDAR technology and its use in forest ecology
across the world. The title contains over 15 years of research, as well as
contributions from scientists across the world.
https://shop.elsevier.com/books/lidar-principles-processing-and-applications-in-forest-ecology/guo/978-0-12-823894-3