RATIONAL VOLUMETRIC MODELS: TESTED IN FOREST STANDS OF Acacia mearnsii DE WILD IN SOUTHERN BRAZIL

Netto, Sylvio Péllico; Behling, Alexandre

doi:10.1590/01047760201925042628

Cited by 2 publications

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“…The individual stem volume is usually determined by adjusted models based on data collected from scaled trees [37,[44][45][46][47]. However, other methods with terrestrial [14,[54][55][56] airborne [11,[57][58][59] or 3-D point clouds derived from UAV imagery [60][61][62][63][64] have also been investigated.…”

Section: Discussionmentioning

confidence: 99%

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Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

Stolle

Corte

Sanquetta

et al. 2021

Forests

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In this study, we estimate the forest stock volume by multiplying the number of trees detected remotely by the estimated mean individual volume of the population (individual approach). A comparison was made with the conventional inventory method (area approach), which included 100 simulations of a simple random sampling process and a Bootstrap resampling. The study area included three stands: stand 1, 16-year-old pine; stand 2, 7-year-old pine; and stand 3, 5-year-old eucalyptus. A census was carried out in each stand for the variables diameter and total height. Individual volume was estimated by a ratio estimator, and the sum of all volumes was considered as the total parametric volume. The area approach presented parametric values within the confidence interval for 91%, 94%, and 98% of the simulations for the three stands, respectively. The mean relative errors for the area approach were −3.5% for stand 1, 0.3% for stand 2, and −0.9% for stand 3. The errors in stands 1 and 3 were associated with the spatial distribution of the volume. The individual approach proved to be efficient for all stands, and their respective parametric values were within the confidence interval. The relative errors were 1% for stand 1, −0.7% for stand 2, and 1.8% for stand 3. For stand 1 and 3, this approach yielded better results than the mean values obtained by the area approach simulations (Bootstrap resampling). Future research should evaluate other remote sources of data and other forest conditions.

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Section: Discussionmentioning

confidence: 99%

“…𝑣 = 𝑔. ℎ. 𝑓 (1) The form factor (Eq. 2) was determined by ratio estimators [36], whose ratio of the mean individual stem volume to the mean total stem volume from the scaling dataset, which resulted in a good estimate with low variance [37].…”

Section: Field Data and Volume Estimation Modelingmentioning

confidence: 99%

Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

Stolle

Corte

Sanquetta

et al. 2021

Forests

Self Cite

View full text Add to dashboard Cite

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Wood volume is overestimated in the Brazilian Amazon: Why not use generic volume prediction methods in tropical forest management?

Cardoso,

Miguel,

de Souza

et al. 2024

Journal of Environmental Management

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RATIONAL VOLUMETRIC MODELS: TESTED IN FOREST STANDS OF Acacia mearnsii DE WILD IN SOUTHERN BRAZIL

Abstract: Tree volumes can alternatively be obtained by ratio estimates. When form factor is associated only to the exponent of diameter results in a more precise stem volume. Ratio estimates resulted in more accurate stem volume compared to other traditional model using regression analysis.

Cited by 2 publications

References 20 publications

Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

Wood volume is overestimated in the Brazilian Amazon: Why not use generic volume prediction methods in tropical forest management?

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