Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR

Kankare, Ville; Vastaranta, Mikko; Holopainen, Markus; Räty, Minna; Yu, Xiaowei; Hyyppä, Juha; Hyyppä, Hannu; Alho, Petteri; Viitala, Raine

doi:10.3390/rs5052257

Cited by 105 publications

(81 citation statements)

References 43 publications

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“…A plausible approach to investigating forest belowground biomass at large scale is to establish a relationship between a number of dendrometric parameters related to the aboveground vegetation (e.g., tree diameter and height) and the belowground component of the total biomass (Drexhage and Colin 2001;Peichl and Arain 2007;Laganière et al 2010). Dendrometric parameters can be derived from varied sources of information ranging from field measurements to remotely sensed data and generally involve the use of allometric equations (Latifi et al 2012;Zolkos et al 2013;Kankare et al 2013;Ahmed et al 2013). Furthermore, few investigations have explored belowground biomass in the Mediterranean forest ecosystems with a specific focus on sclerophyllous vegetation (i.e., maquis and garrigue), despite the wide geographic distribution of this component (RuizPeinado et al 2013).…”

Section: Handling Editor: Shuqing Zhaomentioning

confidence: 99%

Estimating belowground biomass and root/shoot ratio of Phillyrea latifolia L. in the Mediterranean forest landscapes

Marziliano

Lafortezza

Medicamento

et al. 2015

Annals of Forest Science

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& Key message This study developed and tested models to predict the belowground biomass and root/shoot ratio using aboveground field measures. The predictive power of such indirect measurement is useful for a rapid and reliable assessment of the biomass of the Mediterranean species. & Context Forest biomass estimation has been simplified by the availability of indirect methodologies for automatic measuring. However, most of the information on forest root systems is largely unexplored due to the difficulty in estimating belowground biomass (BGB) at large scale. A plausible approach to investigating forest BGB is to establish a relationship between a number of dendrometric parameters related to the aboveground vegetation (AGB) (e.g., tree diameter and height) and the belowground component of the total biomass. & Aims This work presents findings for indirect measurements of BGB in the typical Mediterranean landscapes focusing on sclerophyllous vegetation, specifically Phillyrea latifolia L. The purpose of the present study is twofold: (a) to develop a model explaining the BGB distribution of P. latifolia based on field data for dendrometric parameters, and (b) to understand how the ratio between BGB and AGB varies according to stem diameter as a proxy of plant growth. & Methods A total of 50 P. latifolia plants were randomly selected in the study areas and considered for excavation. Individual plants were analyzed to determine AGB and BGB development. A number of models were developed and tested to predict the BGB and root/shoot ratio using aboveground field measures. Allometric equations were employed to predict the AGB and BGB and relative partitioning in the Phillyrea community. & Results Models for P. latifolia AGB and BGB estimation that include crown diameter and stem height measures augment the models' predictive power. When used alone, the predictive power of the root collar diameter appears to be overestimated, while its effect is stronger for a subset of observations with larger crown diameter and stem height. The root/shoot ratio values of plant species typically related to the Mediterranean context seem to be largely superior to the ratio values of trees and forests. & Conclusions The model is ideally suited to incorporate indirectly measured tree height for a rapid and reliable assessment of the biomass of single Mediterranean species. Further research might include replication of the same studies in different geographic areas of the Mediterranean and in-depth analyses of AGB.

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Section: Handling Editor: Shuqing Zhaomentioning

confidence: 99%

Estimating belowground biomass and root/shoot ratio of Phillyrea latifolia L. in the Mediterranean forest landscapes

Marziliano

Lafortezza

Medicamento

et al. 2015

Annals of Forest Science

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“…Most of the commonly used algorithms for tree detection from ALS-derived data consider all the local maxima detected as actual trees (Kankare et al 2013, Yu et al 2011. Contrastingly, our workflow applies an additional verification based on the presented geo-dendrometric criteria.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data

Sačkov¹,

Hlásny²,

Bucha³

et al. 2017

iForest

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Airborne laser scanning (ALS) has recently gained increasing attention in forestry, as ALS data may facilitate the efficient assessment of forest inventory attributes and ecological indicators related to forest stand structure. This paper presents a novel workflow for individual tree detection and tree crown delineation using ALS data. The developed point-based approach included several tree allometry rules on permissible tree heights and crown dimensions to increase the likelihood of detecting the actual tree profiles. The accuracy of the method was assessed in a heterogeneous forest with a complex stand structure in Slovakia (Central Europe). ALS measurements were taken using a RIEGL Q680i scanner at 700 m of height with a point density of 20 echoes per m 2 . The ground reference data included the measured positions and dimensions of 1332 trees in nine plots distributed across the region. We found that the number of individual trees detected by the algorithm using ALS data was systematically underestimated by 34 ± 15% relative to the reference data. The delineated crown coverage was underestimated by 2 ± 6% as well, but the latter difference was not statistically significant (p>0.05).

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“…RF has been developed as a new extension of tree-based models in non-parametric statistics and machine learning methods [76,77]. It had been successfully used for biomass estimation in several different contexts [20,[76][77][78][79]. …”

Section: Extrapolating Glas-derived Agb Estimates To Modis Imagerymentioning

confidence: 99%

National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China

et al. 2015

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Forest aboveground biomass (AGB) was mapped throughout China using large footprint LiDAR waveform data from the Geoscience Laser Altimeter System (GLAS) onboard NASA's Ice, Cloud, and land Elevation Satellite (ICESat), Moderate Resolution Imaging Spectro-radiometer (MODIS) imagery and forest inventory data. The entire land of China was divided into seven zones according to the geographic characteristics of the forests. The forest AGB prediction models were separately developed for different forest types in each of the seven forest zones at GLAS footprint level from GLAS waveform parameters and biomass derived from height and diameter at breast height (DBH) field observation. Some waveform parameters used in the prediction models were able to reduce the effects of slope on biomass estimation. The models of GLAS-based biomass estimates were developed by using GLAS footprints with slopes less than 20° and slopes ≥ 20°, respectively. Then, all GLAS footprint biomass and MODIS data were used to establish Random Forest regression models for extrapolating footprint AGB to a nationwide scale. The total amount of estimated AGB in Chinese forests around 2006 was about 12,622 Mt vs. 12,617 Mt derived from the seventh national forest resource inventory data. Nearly half of all provinces showed a relative error (%) of less than 20%, and 80% of total provinces had relative errors less than 50%.

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Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR

Cited by 105 publications

References 43 publications

Estimating belowground biomass and root/shoot ratio of Phillyrea latifolia L. in the Mediterranean forest landscapes

Estimating belowground biomass and root/shoot ratio of Phillyrea latifolia L. in the Mediterranean forest landscapes

Integration of tree allometry rules to treetops detection and tree crowns delineation using airborne lidar data

National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China

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