Determination of forest canopy cover of different sized stands with diverse structure using ALS data: case study of the Białowieża Forest (Poland)

• Published in: Scandinavian journal of forest research Vol. 39; no. 6; pp. 310 - 319
• Main Authors: Tracz, Wiktor, Miścicki, Stanisław, Krok, Grzegorz, Magnuson, Robert, Stereńczak, Krzysztof
• Format: Journal Article
• Language: English
• Published: Oslo Taylor & Francis 17.08.2024; Taylor & Francis LLC
• Subjects: Airborne lasers; area-based approach; Canopies; Canopy; canopy height model; case studies; Estimation; forest canopy; forest features; Forests; geometry; individual tree detection; Poland; prediction; segmentation; Stand structure; tree crown; trees; Poland
• ISSN: 0282-7581; 1651-1891; 1651-1891
• DOI: 10.1080/02827581.2024.2418115

The need for objective methods to determine tree canopy cover (CC) across large numbers of stands has led to the development of techniques that utilise airborne laser scanning (ALS) data, which provides a reproducible and detailed representation of canopy geometry. We developed a method for determining CC area and evaluated the estimation accuracy for stands of different sizes, structure and composition. This method is based on tree crown geometries obtained from ALS data, and verified with field measurements using data for 3245 stands of the Białowieża Forest District in Poland. In relatively large stands (3-5 ha), the theoretical error of prediction decreased from 0.13 to 0.10 with increasing stand area. In stands larger than 10 ha, however, the error in estimating CC was less than ±0.10. Although every estimation method comes with its own assumptions and errors, the presented method eliminates the subjectivity in observer bias prevalent in traditional field-based ocular assessments and provides a more transparent and methodologically uniform approach for estimating CC in forests.