Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna<sup>®</sup>)

Strahler, Alan H.; Jupp, David L.B.; Woodcock, Curtis E.; Schaaf, Crystal B.; Yao, Tian; Zhao, Feng; Yang, Xiaoyuan; Lovell, Jenny; Culvenor, Darius; Newnham, Glenn; Ni-Miester, Wenge; Boykin-Morris, William

doi:10.5589/m08-046

Cited by 184 publications

(135 citation statements)

References 23 publications

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“…Stand basal area estimates by the laser-relascope [38] have a better relative error of 2% compared to the traditional relascope [39], after correcting for tree occlusions, which was not done for Relasphone measurements in Finland. Yao et al [40] reported R 2 = 0.66 (lower than the Relasphone results in Finland) for plot-level basal area estimation with TLS, but a slightly better agreement for biomass (R 2 = 0.85), similar to the best results for pine and total stem volume in Mexico.…”

Section: Relasphone Measurements Versus Other Forest Mensuration Methodsmentioning

confidence: 99%

“…Various types of dendrometers, including the laser relascope, were surveyed in [34]. Terrestrial laser scanning (TLS) was used for automatic measuring of forest inventory parameters, including tree height and tree diameter at breast height (dbh) [35][36][37], basal area [38,39] and forest structure and biomass [40], with good accuracy on basal area estimations [39]. However, TLS is expensive, not easily portable and requires an expertly-trained operator.…”

Section: Introductionmentioning

confidence: 99%

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Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping

et al. 2016

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Due to the high cost of traditional forest plot measurements, the availability of up-to-date in situ forest inventory data has been a bottleneck for remote sensing image analysis in support of the important global forest biomass mapping. Capitalizing on the proliferation of smartphones, citizen science is a promising approach to increase spatial and temporal coverages of in situ forest observations in a cost-effective way. Digital cameras can be used as a relascope device to measure basal area, a forest density variable that is closely related to biomass. In this paper, we present the Relasphone mobile application with extensive accuracy assessment in two mixed forest sites from different biomes. Basal area measurements in Finland (boreal zone) were in good agreement with reference forest inventory plot data on pine (R 2 = 0.75, RMSE = 5.33 m 2 /ha), spruce (R 2 = 0.75, RMSE = 6.73 m 2 /ha) and birch (R 2 = 0.71, RMSE = 4.98 m 2 /ha), with total relative RMSE(%) = 29.66%. In Durango, Mexico (temperate zone), Relasphone stem volume measurements were best for pine (R 2 = 0.88, RMSE = 32.46 m 3 /ha) and total stem volume (R 2 = 0.87, RMSE = 35.21 m 3 /ha). Relasphone data were then successfully utilized as the only reference data in combination with optical satellite images to produce biomass maps. The Relasphone concept has been validated for future use by citizens in other locations.

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Section: Relasphone Measurements Versus Other Forest Mensuration Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping

et al. 2016

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“…When laser pulses emitted in the visible or near-infrared comes into contact with an object, part of that energy is reflected back toward the instrument and triggers the recording of its distance and intensity [12]. TLS systems typically employ vertical and horizontal scanning about a fixed point of observation, providing a hemispherical representation of biomass distribution in the forest leaves, branches and trunks, which allows exploring foliage angle distributions and clumping [3,[13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…The technology has proven highly useful for estimating total aboveground biomass and providing detailed vertical profiles of forest environments [3,12,13]. Terrestrial Laser Scanner measurements are generally mounted on a survey tripod about 1.5 m above the ground.…”

Section: Introductionmentioning

confidence: 99%

Using VEGNET In-Situ Monitoring LiDAR (IML) to Capture Dynamics of Plant Area Index, Structure and Phenology in Aspen Parkland Forests in Alberta, Canada

Portillo-Quintero

Sánchez‐Azofeifa

Culvenor³

2014

Forests

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Abstract:The use of ceptometers and digital hemispherical photographs to estimate Plant Area Index (PAI) often include biases and errors from instrument positioning, orientation and data analysis. As an alternative to these methods, we used an In-Situ Monitoring LiDAR system that provides indirect measures of PAI and Plant Area Volume Density (PAVD) at a fixed angle, based on optimized principles and algorithms for PAI retrieval. The instrument was installed for 22 nights continuously from September 26 to October 17, 2013 during leaf-fall in an Aspen Parkland Forest. A total of 85 scans were performed (~4 scans per night). PAI measured decreased from 1.27 to 0.67 during leaf-fall, which is consistent with values reported in the literature. PAVD profiles allowed differentiating the contribution of PAI per forest strata. Phenological changes were captured in four ways: number of hits, maximum cumulative and absolute PAI values, time series of PAVD profiles and PAI values per forest strata. We also found that VEGNET IML Canopy PAI and MODIS LAI values showed a similar decreasing trend and differed by 2%-15%. Our results indicate that the VEGNET IML has great potential for rapid forest structural characterization and for ground validation of PAI/LAI at a temporal frequency compatible with earth observation satellites. OPEN ACCESSForests 2014, 5 1054

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“…in correlation with automated processing algorithms, is a promising technology. It can produce a highly accurate model for evaluating main tree attributes, such as height, curvature of stem, canopy cover and stem density (Hopkinson et al 2004), stem locations and DBH (Maas et al 2008;Strahler et al 2008;Huang et al 2011;Liang et al 2014). However, there are two main drawbacks there.…”

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confidence: 99%

Accuracy of Structure from Motion models in comparison with terrestrial laser scanner for the analysis of DBH and height influence on error behaviour

Panagiotidis¹,

Surový²,

Kuželka³

2016

J. For. Sci.

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ABSTRACT:With the advantage of Structure from Motion technique, we reconstructed three-dimensional structures from two-dimensional image sequences in a circular plot with a radius of 6 m. The main objective of this research was to clarify the potential of using a low cost hand-held camera for evaluation of the stem accuracy reconstruction, through the comparison of data from two different point clouds. The first cloud comprises data collected with a digital camera that are compared with those collected by direct measurement of the FARO ® Focus3D S120 laser scanner. Photos were taken in a circular plot of pine trees using the stop-and-go method. We estimated the Euclidean distance for corresponding points for both clouds and we found out that most of the points with error less than 11 cm are concentrated mainly on the ground. Regression analysis showed a significant relationship between height above ground and error, the error is more pronounced for points located higher on the stems. As expected, no dependence was found between the error of the points and the diameter at breast height of their respective stems.

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Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna^®)

Cited by 184 publications

References 23 publications

Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping

Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping

Using VEGNET In-Situ Monitoring LiDAR (IML) to Capture Dynamics of Plant Area Index, Structure and Phenology in Aspen Parkland Forests in Alberta, Canada

Accuracy of Structure from Motion models in comparison with terrestrial laser scanner for the analysis of DBH and height influence on error behaviour

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Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna®)

Cited by 184 publications

References 23 publications

Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping

Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping

Using VEGNET In-Situ Monitoring LiDAR (IML) to Capture Dynamics of Plant Area Index, Structure and Phenology in Aspen Parkland Forests in Alberta, Canada

Accuracy of Structure from Motion models in comparison with terrestrial laser scanner for the analysis of DBH and height influence on error behaviour

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Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna^®)