FORTLS: TLS Data Processing and Stand Variable Estimation
Instructors: Juan Alberto Molina-Valero & Adela Martínez-Calvo Description: This workshop provides a hands-on, applied introduction to the use of ground-based LiDAR technologies -Terrestrial Laser Scanning (TLS) and Mobile Laser Scanning (MLS)- in forest inventory applications, particularly within a statistical sampling framework. Participants will learn to process LiDAR data from acquisition to validation and export of results using open-source tools, specifically the R package FORTLS. The content will cover an overview of commonly used terrestrial LiDAR systems in forestry, estimation of both tree- and stand-level variables through case studies, the role of plot design, and methods to correct occlusion-related biases. Additionally, the workshop will introduce statistical inference techniques, including both probabilistic and model-based methods, to derive forest metrics such as volume per hectare and estimate associated errors. The workshop is intended for participants with a BSc, MSc, or PhD background in Forestry or related fields. It emphasizes a practical approach, supported by theoretical concepts to enhance understanding, and involves exercises using real data and validated field measurements. Participants will gain the knowledge and skills to process ground-based LiDAR data to estimate key forest inventory variables, including stand density, basal area, stem volume, and height and diameter. They will also learn to evaluate and apply appropriate forest inventory methodologies based on technical criteria and specific forest measurement goals. More details here.
