Paper Info
Title
Stratifying Forest Overstory and Understory for 3-D Segmentation Using Terrestrial Laser Scanning Data
Abstract
Accurately and rapidly segmenting tree crowns from a three-dimensional (3-D) perspective is of great significance to precision forest management, and better understands the carbon and water cycles between the soil-plant-atmosphere system. However, it remains challenging to group points into individual trees from a 3-D perspective in the forest stand with highly overlapped tree crowns and abundant understory. The objective of this article was to extract the overstory and understory of individual trees from terrestrial laser scanning (TLS) data considering the vertical forest structure and overlapped tree crowns processing strategy suitable for various crown shapes and sizes. Our results showed that 1) the proposed algorithm had better performance in the low overlapping rate (OR) coniferous (F1-score: 0.96) and broadleaf (F1-score: 0.91) forest stands, while the F1-score decreased down to 0.89 and 0.65 in the high OR for coniferous and broadleaf forest stand, respectively; 2) a multistation TLS data produced better (F1-scores: 0.85-1) segmentation results than those obtained from single-station TLS data (F1-scores: 0.67-0.83) in coniferous forest stands; and 3) the vertical forest structure profiles affected the final forest 3-D segmentation accuracy. Our article provides a solid foundation for precision forestry and natural resources management.
Year
DOI
Venue
2021
10.1109/JSTARS.2021.3129312
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Keywords
DocType
Volume
Forestry, Lasers, Image segmentation, Measurement by laser beam, Licenses, Earth, Carbon, Forest segmentation, forest structure, terrestrial laser scanning (TLS)
Journal
14
ISSN
Citations 
PageRank 
1939-1404
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Zengxin Yun101.01
Guang Zheng204.06