Comparison of spruce and beech tree attributes from field data, airborne and terrestrial laser scanning using manual and automatic methods

被引:15
作者
Novotny, Jan [1 ]
Navratilova, Barbora [1 ]
Albert, Jan [2 ]
Cienciala, Emil [2 ]
Fajmon, Lukas [1 ]
Brovkina, Olga [1 ]
机构
[1] Global Change Res Inst CAS, Brno, Czech Republic
[2] IFER Inst Forest Ecosyst Res, Jilove, Czech Republic
关键词
Tree-level forest inventory; Spruce; Beech; Airborne LiDAR; Terrestrial laser scanning; Field-map; Time efficiency; INDIVIDUAL TREES; FOREST INVENTORY; CROWN WIDTH; LIDAR DATA; HEIGHT; DIAMETER; STEM; ALGORITHMS; ACCURACY; BIOMASS;
D O I
10.1016/j.rsase.2021.100574
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study's aim was to make a comparative analysis of airborne (ALS) and terrestrial (TLS) laser scanning and field data collection methods in estimating the tree attributes height (H), diameter at breast height (DBH), crown base (CB), and crown diameter (CD). Manual and automatic methods of extracting tree attributes from ALS and TLS data were evaluated for spruce and beech at a study site within the Czech part of the Silesian Beskids. Strong correlation (r) was observed among scanning H and field-measured H for spruce (r = 0.91 for ALS automatic vs. field, r = 0.94 for ALS manual vs. field, r = 0.91 for TLS manual vs. field), and with standard error of the estimates (SEE) from 1.4 m to 2.2 m. DBH estimates from TLS manual method showed r = 0.96 for spruce and beech with average SEE of 2.9 cm. DBH estimates for beech from TLS automatic method were poorer (r = 0.73, SEE = 9.1 cm) than for spruce (r = 0.96, SEE = 2.5 cm). TLS estimates of CB were better both for manual and automatic methods (r = 0.85, SEE = 1.4 m for manual; r = 0.73, SEE = 2.4 for automatic) than ALS estimates (r = 0.67, SEE = 4.0 m for manual; r = 0.61, SEE = 4.2 m for automatic). CD estimates from ALS showed better agreement with field measurements (r = 0.71, SEE = 1.2 m) than did CD estimates from TLS (r = 0.52, SEE = 1.4 m). TLS technology was evaluated as being most time demanding for both manual and automatic modes in comparison with ALS and field technologies. Field technology for in situ measurement was shown to be time effective compared with ALS and/or TLS technologies that used manual methods to extract tree attributes. ALS technology with automatic methods of tree attributes extraction was found to be most efficient, showing that automation is a key process and has strong potential for applications to inventory trees within forests over large areas in Central Europe.
引用
收藏
页数:12
相关论文
共 56 条
[1]   Automatic Detection and Parameter Estimation of Trees for Forest Inventory Applications Using 3D Terrestrial LiDAR [J].
Aijazi, Ahmad K. ;
Checchin, Paul ;
Malaterre, Laurent ;
Trassoudaine, Laurent .
REMOTE SENSING, 2017, 9 (09)
[2]  
[Anonymous], 2005, THESIS
[3]   Data collection methods for forest inventory: a comparison between an integrated conventional equipment and terrestrial laser scanning [J].
Apostol, Bogdan ;
Chivulescu, Serban ;
Ciceu, Albert ;
Petrila, Marius ;
Pascu, Ionut-Silviu ;
Apostol, Ecaterina Nicoleta ;
Leca, Stefan ;
Lorent, Adrian ;
Tanase, Mihai ;
Badea, Ovidiu .
ANNALS OF FOREST RESEARCH, 2018, 61 (02) :189-202
[4]   Terrestrial laser scanning in forest ecology: Expanding the horizon [J].
Calders, Kim ;
Adams, Jennifer ;
Armston, John ;
Bartholomeus, Harm ;
Bauwens, Sebastien ;
Bentley, Lisa Patrick ;
Chave, Jerome ;
Danson, F. Mark ;
Demol, Miro ;
Disney, Mathias ;
Gaulton, Rachel ;
Moorthy, Sruthi M. Krishna ;
Levick, Shaun R. ;
Saarinen, Ninni ;
Schaaf, Crystal ;
Stovall, Atticus ;
Terryn, Louise ;
Wilkes, Phil ;
Verbeeck, Hans .
REMOTE SENSING OF ENVIRONMENT, 2020, 251
[5]   Airborne LiDAR Remote Sensing for Individual Tree Forest Inventory Using Trunk Detection-Aided Mean Shift Clustering Techniques [J].
Chen, Wei ;
Hu, Xingbo ;
Chen, Wen ;
Hong, Yifeng ;
Yang, Minhua .
REMOTE SENSING, 2018, 10 (07)
[6]   The influence of conifer forest canopy cover on the accuracy of two individual tree measurement algorithms using lidar data [J].
Falkowski, Michael J. ;
Smith, Alistair M. S. ;
Gessler, Paul E. ;
Hudak, Andrew T. ;
Vierling, Lee A. ;
Evans, Jeffrey S. .
CANADIAN JOURNAL OF REMOTE SENSING, 2008, 34 :S338-S350
[7]  
Ferrarese J, 2015, SILVA FENN, V49
[8]   Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands [J].
Giannetti, Francesca ;
Puletti, Nicola ;
Quatrini, Valerio ;
Travaglini, Davide ;
Bottalico, Francesca ;
Corona, Piermaria ;
Chirici, Gherardo .
EUROPEAN JOURNAL OF REMOTE SENSING, 2018, 51 (01) :795-807
[9]   Accuracy of tree geometric parameters depending on the LiDAR data density [J].
Hadas, Edyta ;
Estornell, Javier .
EUROPEAN JOURNAL OF REMOTE SENSING, 2016, 49 :73-92
[10]  
Heurich M., 2004, INT ARCH PHOTOGRAM R, V36, P8