Modelling tree size diversity from airborne laser scanning using canopy height models with image texture measures

2013 ◽  
Vol 295 ◽  
pp. 28-37 ◽  
Author(s):  
Ibrahim Ozdemir ◽  
Daniel N.M. Donoghue
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Canopy Height ◽  
Image Texture ◽  
Airborne Laser ◽  
Size Diversity

Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands

2011 ◽  
Vol 41 (3) ◽  
pp. 583-598 ◽  
Author(s):  
Jussi Peuhkurinen ◽  
Lauri Mehtätalo ◽  
Matti Maltamo
Keyword(s):  
Laser Scanning ◽  
Statistical Approach ◽  
Basal Area ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Size Distributions ◽  
Individual Tree ◽  
Tree Detection ◽  
Airborne Laser ◽  
Number Of Stems

Airborne laser scanning based forest inventories employ two major methods: individual tree detection (ITD) and the area-based statistical approach (ABSA). ITD is based on the assumption that trees are of a certain form and can be delineated using airborne laser scanning techniques, whereas ABSA is an empirical method based on the relations between area-level forest attributes and laser echo height distributions. These two methods are compared here within the same test area in terms of their usefulness for estimating mean forest stand characteristics and tree size distributions. All evaluations were performed using leave-one-out cross validation. The average errors in volume and basal area did not differ significantly between the methods. ABSA resulted in overall better accuracies when estimating the diameter and height of the basal area median tree and the number of stems, whereas ITD produced significantly biased estimates for the number of stems and the mean tree size. Tree size distributions were estimated with slightly better accuracy using ABSA. More comprehensive investigations revealed that both methods were not able to estimate forest structure (tree size distribution and spatial distribution of tree locations), which in turn, affected the estimation accuracies.

Patterns of covariance between airborne laser scanning metrics and Lorenz curve descriptors of tree size inequality

2013 ◽  
Vol 39 (sup1) ◽  
pp. S18-S31 ◽  
Author(s):  
Rubén Valbuena ◽  
Matti Maltamo ◽  
Susana Martín-Fernández ◽  
Petteri Packalen ◽  
Cristina Pascual ◽  
...  
Keyword(s):  
Lorenz Curve ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Airborne Laser ◽  
Size Inequality

Characterization of Brazilian forest types utilizing canopy height profiles derived from airborne laser scanning

2016 ◽  
Vol 19 (3) ◽  
pp. 518-527 ◽  
Author(s):  
Eric B. Görgens ◽  
Carlos P.B. Soares ◽  
Matheus H. Nunes ◽  
Luiz C. E. Rodriguez
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Canopy Height ◽  
Forest Types ◽  
Airborne Laser

scholarly journals Airborne laser scanning of natural forests in New Zealand reveals the influences of wind on forest carbon

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
David A. Coomes ◽  
Daniel Šafka ◽  
James Shepherd ◽  
Michele Dalponte ◽  
Robert Holdaway
Keyword(s):  
New Zealand ◽  
Power Law ◽  
Laser Scanning ◽  
Forest Carbon ◽  
Airborne Laser Scanning ◽  
Canopy Height ◽  
Carbon Density ◽  
Airborne Laser ◽  
Aboveground Carbon Density ◽  
Estimation Models

Abstract Background Forests are a key component of the global carbon cycle, and research is needed into the effects of human-driven and natural processes on their carbon pools. Airborne laser scanning (ALS) produces detailed 3D maps of forest canopy structure from which aboveground carbon density can be estimated. Working with a ALS dataset collected over the 8049-km2 Wellington Region of New Zealand we create maps of indigenous forest carbon and evaluate the influence of wind by examining how carbon storage varies with aspect. Storms flowing from the west are a common cause of disturbance in this region, and we hypothesised that west-facing forests exposed to these winds would be shorter than those in sheltered east-facing sites. Methods The aboveground carbon density of 31 forest inventory plots located within the ALS survey region were used to develop estimation models relating carbon density to ALS information. Power-law models using rasters of top-of-the-canopy height were compared with models using tree-level information extracted from the ALS dataset. A forest carbon map with spatial resolution of 25 m was generated from ALS maps of forest height and the estimation models. The map was used to evaluate the influences of wind on forests. Results Power-law models were slightly less accurate than tree-centric models (RMSE 35% vs 32%) but were selected for map generation for computational efficiency. The carbon map comprised 4.5 million natural forest pixels within which canopy height had been measured by ALS, providing an unprecedented dataset with which to examine drivers of carbon density. Forests facing in the direction of westerly storms stored less carbon, as hypothesised. They had much greater above-ground carbon density for a given height than any of 14 tropical forests previously analysed by the same approach, and had exceptionally high basal areas for their height. We speculate that strong winds have kept forests short without impeding basal area growth. Conclusion Simple estimation models based on top-of-the canopy height are almost as accurate as state-of-the-art tree-centric approaches, which require more computing power. High-resolution carbon maps produced by ALS provide powerful datasets for evaluating the environmental drivers of forest structure, such as wind.

scholarly journals Assessing biomass based on canopy height profiles using airborne laser scanning data in eucalypt plantations

2015 ◽  
Vol 72 (6) ◽  
pp. 504-512 ◽  
Author(s):  
André Gracioso Peres Silva ◽  
Eric Bastos Görgens ◽  
Otávio Camargo Campoe ◽  
Clayton Alcarde Alvares ◽  
José Luiz Stape ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Canopy Height ◽  
Airborne Laser ◽  
Eucalypt Plantations
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