Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (<i>Lynx canadensis</i>) Habitat Using Machine Learning

Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (<i>Lynx canadensis</i>) Habitat Using Machine Learning

The Canada lynx is listed as a threatened species, and as such, the identification and conservation of lynx habitats is of significant concern. Lynxes require areas with high amounts of horizontal cover made up of ground vegetation. Lidar offers a robust method of quantifying vegetation structure, a...

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Bibliographic Details
Main Authors: Jonathan L. Batchelor, Andrew T. Hudak, Peter Gould, L. Monika Moskal
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
TLS
ALS
habitat modeling
machine learning
xgboost
single scan
Online Access:https://www.mdpi.com/2072-4292/15/18/4434

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