Inicio  /  Forests  /  Vol: 9 Núm: 8 Par: August (2018)  /  Artículo
ARTÍCULO
TITULO

Estimating Stand Density in a Tropical Broadleaf Forest Using Airborne LiDAR Data

Chung-Cheng Lee and Chi-Kuei Wang    

Resumen

Forest-related statistics, including forest biomass, carbon sink, and the prevention of forest fires, can be obtained by estimating stand density. In this study, a dataset with the laser pulse density of 225.5 pulses/m2 was obtained using airborne laser scanning in a tropical broadleaf forest. Three digital surface models (DSMs) were generated using first-echo, last-echo, and highest first-echo data. Three canopy height models (CHMs) were obtained by deducting the digital elevation model from the three DSMs. The cell sizes (Csizes) of the CHMs were 1, 0.5, and 0.2 m. In addition, stand density was estimated using CHM data and following the local maximum method. The stand density of 35 sample regions was acquired via in-situ measurement. The results indicated that the root-mean-square error ( R M S E ) ranged between 1.68 and 2.43; the R M S E difference was only 0.78, indicating that stand density was effectively estimated in both cases. Furthermore, regression models were used to correct the error in stand density estimations; the R M S E after correction was called R M S E ′ . A comparison of the R M S E and R M S E ′ showed that the average value decreased from 12.35 to 2.66, meaning that the regression model could effectively reduce the error. Finally, a comparison of the effects of different laser pulse densities on the R M S E value showed that, in order to obtain the minimum R M S E for stand density, the laser pulse density must be greater than 10, 30, and 125 pulses/m2 at Csizes of 1, 0.5, and 0.2 m, respectively.

 Artículos similares

       
 
Felipe Bravo,Douglas A. Maguire,Santiago C. González-Martínez     Pág. e07S
Aim of study: Our main goal is to determine the relationship between cone production and radial growth in Pinus pinaster Ait. under different climatic conditions across the Iberian Peninsula.Area of study: Coca Intensive Sampling Plateau, Northern Platea... ver más
Revista: Forest Systems

 
Li Bin Liu, Hua Mei Yang, Yue Xu, Yin Ming Guo and Jian Ni    
Biomass and net primary productivity (NPP) are important factors for studying terrestrial carbon storage and the carbon cycle. Using data from existing literature, this study synthesized and analyzed a comprehensive database of direct field observations ... ver más
Revista: Forests

 
Azita Ahmad Zawawi,Masami Shiba,Noor Janatun Naim Jemali     Pág. e002
Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest.Area of study: The study was conducted within the Yambaru subtropical evergreen broad-leaved forest, O... ver más
Revista: Forest Systems

 
Teresa Duque Enes,Teresa Fidalgo Fonseca     Pág. 438 - 447
Aim of the study: The objective of this paper is to investigate the use of Biomass Conversion and Expansion Factors (BCEFs) in maritime pine (Pinus pinaster Ait.) stands subjected to thinning.Area of the study: The study area refers to different ecosyste... ver más
Revista: Forest Systems

 
Esther Merlo,Juan G. Alvarez,Oscar Santaclara,Guillermo Riesco     Pág. 153 - 166
Aim of study: Modelling the structural quality of Pinus pinaster Ait. wood on the basis of measurements made on standing trees is essential because of the importance of the species in the Galician forestry and timber industries and the good mechanical pr... ver más
Revista: Forest Systems