Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 303, P. 114005 - 114005

Published: Jan. 30, 2024

Spatially explicit data on forest canopy fuel parameters provide critical information for wildfire propagation modelling, emission estimations and risk assessment. LiDAR observations enable accurate retrieval of the vertical structure vegetation, which makes them an excellent alternative characterising structures. In most cases, parameterisation has been based Airborne Laser Scanning (ALS) observations, are costly best suited local research. Spaceborne acquisitions overcome limited spatiotemporal coverage airborne systems, as they can cover much wider geographical areas. However, do not continuous data, requiring spatial interpolation methods to obtain wall-to-wall information. We developed a two-step, easily replicable methodology estimate entire European territory, from Global Ecosystem Dynamics Investigation (GEDI) sensor, onboard International Space Station (ISS). First, we simulated GEDI pseudo-waveforms discrete ALS about plots. then used metrics derived mean height (Hm), (CC) base (CBH), national inventory reference. The RH80 metric had strongest correlation with Hm all types (r = 0.96–0.97, Bias −0.16-0.30 m, RMSE 1.53–2.52 rRMSE 13.23–19.75%). A strong was also observed between ALS-CC GEDI-CC 0.94, −0.02, 0.09, 16.26%), whereas weaker correlations were obtained CBH 0.46, 0 0.89 39.80%). second stage generate maps continent Europe at resolution 1 km using GEDI-based estimates within-fuel polygons covered by footprints. available some (mainly Northern latitudes, above 51.6°N). these estimated random regression models multispectral SAR imagery biophysical variables. Errors higher than direct retrievals, but still within range previous results 0.72–0.82, −0.18-0.29 3.63–4.18 m 28.43–30.66% Hm; r 0.82–0.91, 0, 0.07–0.09 10.65–14.42% CC; 0.62–0.75, 0.01–0.02 0.60–0.74 19.16–22.93% CBH). Uncertainty provided grid level, purpose considered individual errors each step in methodology. final outputs, publicly (https://doi.org/10.21950/KTALA8), estimation three modelling crown fire potential demonstrate capacity improve characterisation models.

Language: Английский

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Mixed-effects generalized height–diameter model for young silver birch stands on post-agricultural lands

Forest Ecology and Management, Journal Year: 2020, Volume and Issue: 460, P. 117901 - 117901

Published: Jan. 23, 2020

The purpose of creating regression equations is often to predict unmeasured features based upon more easily obtainable ones. Species-specific height–diameter (H–D) models trees are an example this situation and can be defined as either simple or generalized. Simple H–D express height a function tree diameter at the breast height. They applicable without additional measurement but do not take properly into account variability in H-D relationship between stands. Meanwhile, generalized also include stand-level predictors. data sets characterized by grouped structure. mixed-effects modeling approach mainstream method employed for these types forestry data. In study, we created model young silver birch stands on post-agricultural lands central Poland. This was chosen from among 11 nonlinear goodness fit residual behavior. We accounted two predictors that did require measurements beyond height: quadratic mean basal area. Fixed- random-effect predictions were then calculated illustrate increases number measured improves predictions. Moreover, gain predictive power largest if extreme (i.e., extrema range) used prediction.

Language: Английский

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A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China

Forest Ecology and Management, Journal Year: 2017, Volume and Issue: 389, P. 364 - 373

Published: Jan. 17, 2017

Language: Английский

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Modelling individual tree height–diameter relationships for multi-layered and multi-species forests in central Europe

Trees, Journal Year: 2018, Volume and Issue: 33(1), P. 103 - 119

Published: Sept. 19, 2018

Language: Английский

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A generalized nonlinear mixed-effects height–diameter model for Norway spruce in mixed-uneven aged stands

Forest Ecology and Management, Journal Year: 2020, Volume and Issue: 477, P. 118507 - 118507

Published: Aug. 20, 2020

Language: Английский

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Effects of tree vigor, competition and stand conditions on branch diameter for mixed plantations of Fraxinus mandshurica Rupr. and Larix olgensis Henry in Northeast China

European Journal of Forest Research, Journal Year: 2024, Volume and Issue: 143(4), P. 1165 - 1180

Published: April 2, 2024

Language: Английский

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Estimation of Forest Stand Volume in Coniferous Plantation from Individual Tree Segmentation Aspect Using UAV-LiDAR

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(15), P. 2736 - 2736

Published: July 26, 2024

The main problems of forest parameter extraction and stand volume estimation using unmanned aerial vehicle light detection ranging (UAV-LiDAR) technology are the lack precision in individual tree segmentation inability to directly obtain diameter at breast height (DBH) parameter. To address such limitations, study proposed an improved method combined with a DBH prediction model (H) for calculating trees, thus realizing accurate from aspect. involves following key steps: (1) local maximum variable window Gaussian mixture were used detect treetop position canopy removing pits. (2) measured H parameters sample trees construct optimal DBH-H model. (3) duality standing was calculate scale. results showed that: Individual based on accuracy, rate r, accuracy p, composite score F 89.10%, 95.21%, 0.921, respectively. coefficient determination R2 extracted 0.88, root mean square error RMSE 0.84 m. Weibull had fit predicted 2.28 cm, Using correctly detected estimated AE 90.86%. In conclusion, UAV-LiDAR technology, model, it is possible realize scale, which helps improve accuracy.

Language: Английский

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Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)

PLoS ONE, Journal Year: 2017, Volume and Issue: 12(10), P. e0186394 - e0186394

Published: Oct. 19, 2017

Height to crown base (HCB) of a tree is an important variable often included as predictor in various forest models that serve the fundamental tools for decision-making forestry. We developed spatially explicit and inexplicit mixed-effects HCB using measurements from total 19,404 trees Norway spruce (Picea abies (L.) Karst.) European beech (Fagus sylvatica L.) on permanent sample plots are located across Czech Republic. Variables describing site quality, stand density or competition, species mixing effects were into model with use dominant height (HDOM), basal area larger diameters than subject (BAL- measure) Hegyi's competition index (HCI-spatially measure), proportion interest (BAPOR), respectively. The parameters plot-level random by applying modelling approach. Among several functional forms evaluated, logistic function was found most suited our data. tested against data originated different inventory designs, but partitioned dataset (a part main dataset). variance heteroscedasticity residuals substantially reduced through inclusion power model. results showed described significantly variations [R2adj = 0.86 (spruce), 0.85 (beech)] its counterpart 0.84 0.83 (beech)]. increased increasing competitive interactions tree-centered measure: BAL HCI, BAPOR. A test estimated at least four per plot validation confirmed precise enough prediction range size, density, structure. therefore recommend measuring randomly selected each localizing predicting remaining plot. Growth simulations can be made lack values either ratio models.

Language: Английский

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A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data

Forests, Journal Year: 2019, Volume and Issue: 10(1), P. 70 - 70

Published: Jan. 17, 2019

Height-to-diameter at breast height (DBH) ratio (HDR) is an important tree and stand stability measure. Several factors such as dynamics, natural anthropogenic disturbances, silvicultural tending significantly affect HDR, and, therefore, in-depth investigation of HDR essential for better understanding ecological processes in a forest. A nonlinear mixed-effects model applicable to several species was developed using the Czech national forest inventory data comprising 13,875 sample plots 348,980 trees. The predictive performance this evaluated independent dataset which originated from 25,146 trees on 220 research plots. Among various tree- stand-level variables describing size, site quality, development stage, density, inter-tree spacing, competition evaluated, dominant (HDOM), diameter (DDOM), relative spacing index (RS), DBH-to-quadratic mean DBH (dq) were identified most predictors variations. random component plot-specific variations included through modelling, dummy species-specific canopy layer-specific also into variable modelling. explained 79% without any significant trends residuals. Simulation results showed that each layer increased with increasing quality stage (increased HDOM) RS, decreased DDOM dq). Testing revealed more than 85% described individual (Norway spruce, Scots pine, European larch, beech) group (fir species, oak birch alder species) prediction errors. can be predicted higher accuracy calibrated measurements its obtained routine inventories. To improve accuracy, needs effects estimated one four randomly selected particular or depending availability their numbers per plot. applied assessment density regulation. information useful designing management diagram. Brief implications silviculture strategies planning are presented article.

Language: Английский

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A study on the variation of knot width in Larix olgensis based on a Mixed-Effects model

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 234, P. 110215 - 110215

Published: March 10, 2025

Language: Английский

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