Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size

Popescu, Sorin C.; Wynne, Randolph H.; Nelson, Ross

doi:10.1016/s0168-1699(02)00121-7

Cited by 377 publications

(315 citation statements)

References 20 publications

Supporting

Mentioning

291

Contrasting

Unclassified

Order By: Relevance

“…Forest inventory assessment from LIDAR is often based on extraction of individual tree heights (Popescu et al 2002;Popescu and Wynne 2004) and application of spatial rules for extrapolating this information across the landscape. A first explicit example of site-index estimation from LIDAR was introduced by Gatziolis (2007) using canopy and ground models for establishing plotbased site-index measures for Douglas-fir from LIDAR-derived canopy and ground models.…”

Section: Lidarmentioning

confidence: 99%

Implications of differing input data sources and approaches upon forest carbon stock estimation

Wulder

White

Stinson

et al. 2009

Environ Monit Assess

View full text Add to dashboard Cite

Site index is an important forest inventory attribute that relates productivity and growth expectation of forests over time. In forest inventory programs, site index is used in conjunction with other forest inventory attributes (i.e., height, age) for the estimation of stand volume. In turn, stand volumes are used to estimate biomass (and biomass components) and enable conversion to carbon. In this research, we explore the implications and consequences of different estimates of site index on carbon stock characterization for a 2,500-ha Douglas-fir-dominated landscape located on Eastern Vancouver Island, British Columbia, Canada. We compared site index estimates from an existing forest inventory to estimates generated from a combination of forest inventory and light detection and ranging (LIDAR)-derived attributes and then examined the resultant differences in biomass estimates generated from a carbon budget model (Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3)). Significant differences were found between the original and LIDAR-derived site indices for all species types and for the resulting 5-m site classes (p < 0.001). The LIDAR-derived site class was greater than the original site class for 42% of stands; however, 77% of stands were within ±1 site class of the original class. Differences in biomass estimates between the model scenarios were significant for both total stand biomass and biomass per hectare ( p < 0.001); differences for Douglas-fir-dominated stands (representing 85% of all stands) were not significant ( p = 0.288). Overall, the relationship between the two biomass estimates was strong (R 2 = 0.92, p < 0.001), suggesting that in certain circumstances, LIDAR may have a role to play in site index estimation and biomass mapping.

show abstract

Section: Lidarmentioning

confidence: 99%

Implications of differing input data sources and approaches upon forest carbon stock estimation

Wulder

White

Stinson

et al. 2009

Environ Monit Assess

View full text Add to dashboard Cite

show abstract

“…Several investigations have been performed successfully in forestry using these data (Hyyppä et al, 2001;Popescu et al, 2002;Yu et al, 2004;Reutebuch et al, 2005). In these applications two approaches are usually distinguished.…”

Section: Introductionmentioning

confidence: 99%

Estimation of wood volume and height of olive tree plantations using airborne discrete-return LiDAR data

Estornell

Velázquez‐Martí

Cortés

et al. 2014

GIScience & Remote Sensing

View full text Add to dashboard Cite

The aim of this study is to analyze methodologies based on airborne LiDAR technology of low pulse density points (0.5 m -2 ) for height and volume quantification of olive trees in Viver (Spain). A total of 29 circular plots of radius 20 m were sampled and their volumes and height were obtained by dendrometric methods. For these estimations several statistics derived from LiDAR data were calculated in each plot. Regression models were calculated to predict volume and height. The results showed a good performance for estimating volume (R 2 = 0.70) and for total height estimations (R 2 = 0.67).

show abstract

“…For vegetation mapping we used the TreeVaW software (Tree Variable Window), an integrated ALS processing software package for detecting dominant single trees and estimating tree height and crown width (Popescu et al, 2002;Popescu and Wynne, 2004). TreeVaW is an automated processing routine run in the IDL-ENVI software.…”

Section: Vegetation Mappingmentioning

confidence: 99%

Airborne laser scanning : for forested landslides investigation in temperate and tropical invironments

Razak¹

View full text Add to dashboard Cite

Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size

Cited by 377 publications

References 20 publications

Implications of differing input data sources and approaches upon forest carbon stock estimation

Implications of differing input data sources and approaches upon forest carbon stock estimation

Estimation of wood volume and height of olive tree plantations using airborne discrete-return LiDAR data

Airborne laser scanning : for forested landslides investigation in temperate and tropical invironments

Contact Info

Product

Resources

About