Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description
Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data:
tree detection (method 1 in Eysn et al. (2015) ) and segmentation;
forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping:
co-registration of field plots with LiDAR data (Monnet and Mermin (2014) );
extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful
for e.g. habitat suitability modeling (Glad et al. (2020) ) and forest maturity mapping (Fuhr et al. (2022) );
model calibration with ground reference, and maps export.