Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics

Crespo-Peremarch, Pablo; Ruiz, Luis Á.; Balaguer-Beser, Ángel

doi:10.1016/j.isprsjprs.2018.10.012

Cited by 16 publications

(14 citation statements)

References 36 publications

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“…The current research was carried out in two study areas. Study area 1 [3] is located in the US Pacific Northwest, in Oregon. It is dominated by Douglas-fir (Pseudotsuga menziesii) with an infrequent presence of red cedar (Thuja plicata), western hemlock (Tsuga heterophylla), grand fir (Abies grandis), bigleaf maple (Acer macrophyllum) and red alder (Alnus rubra).…”

Section: Study Areasmentioning

confidence: 99%

“…Once ALSFW metrics were extracted, their values were analyzed as a function of the pulse density. In this way, a negative exponential distribution [3] was fitted to the representation of the ALSFW metric values in the Y axis and the pulse density in the X axis. Different representations and fits were done for the different plots, and combination of voxel sizes and assignation values.…”

Section: Alsfw Metric Variation According To Pulse Density and Full-wmentioning

confidence: 99%

“…It consists of clustering ALSFW into voxels (i.e., threedimensional pixels) and assigning them a single value (e.g., the maximum, mean, etc., of all the data within the voxel). However, ALSFW has not been widely used yet due to the lack of processing tools and the amount of data to be processed [3]. The analysis of methodological parameters such as voxel size and assignation value have poorly been carried out [3], and they are fundamental for the practical use of these data and to avoid unsuitable effects such as side-lap.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Side-Lap Effect and Characterization of Understory Vegetation Using Full-Waveform ALS

Crespo-Peremarch¹

2019

The II Geomatics Engineering Conference

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Airborne full-waveform LiDAR (ALSFW) is able to register forest structure properties, essential for fire prevention, in more detail than airborne discrete LiDAR (ALSD). However, few studies have analyzed ALSFW methodological parameters (i.e., voxel size and assignation value) due to the complexity and lack of processing tools. In this paper we analyze the influence of the pulse density and ALSFW methodological parameters on the ALSFW metrics, as well as the characterization of understory vegetation through ALSFW. Results show that the influence of pulse density on ALSFW metrics may be modelled and the differences reduced by modifying ALSFW methodological parameters. Additionally, the potential of ALSFW for characterizing the mean height (R2 = 0.949) and volume (R2 = 0.951) of the understory vegetation was also proved.

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Section: Study Areasmentioning

confidence: 99%

Section: Alsfw Metric Variation According To Pulse Density and Full-wmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Side-Lap Effect and Characterization of Understory Vegetation Using Full-Waveform ALS

Crespo-Peremarch¹

2019

The II Geomatics Engineering Conference

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“…An essential pre-processing step before generating ALS FW metrics is the radiometric correction [45]. Radiometric correction or calibration is a widely used term in remote sensing imagery.…”

Section: Introductionmentioning

confidence: 99%

A Full-Waveform Airborne Laser Scanning Metric Extraction Tool for Forest Structure Modelling. Do Scan Angle and Radiometric Correction Matter?

Crespo-Peremarch

Ruiz

2020

Remote Sensing

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In the last decade, full-waveform airborne laser scanning (ALSFW) has proven to be a promising tool for forestry applications. Compared to traditional discrete airborne laser scanning (ALSD), it is capable of registering the complete signal going through the different vertical layers of the vegetation, allowing for a better characterization of the forest structure. However, there is a lack of ALSFW software tools for taking greater advantage of these data. Additionally, most of the existing software tools do not include radiometric correction, which is essential for the use of ALSFW data, since extracted metrics depend on radiometric values. This paper describes and presents a software tool named WoLFeX for clipping, radiometrically correcting, voxelizing the waves, and extracting object-oriented metrics from ALSFW data. Moreover, extracted metrics can be used as input for generating either classification or regression models for forestry, ecology, and fire sciences applications. An example application of WoLFeX was carried out to test the influence of the relative radiometric correction and the acquisition scan angle (1) on the ALSFW metric return waveform energy (RWE) values, and (2) on the estimation of three forest fuel variables (CFL: canopy fuel load, CH: canopy height, and CBH: canopy base height). Results show that radiometric differences in RWE values computed from different scan angle intervals (0°–5° and 15°–20°) were reduced, but not removed, when the relative radiometric correction was applied. Additionally, the estimation of height variables (i.e., CH and CBH) was not strongly influenced by the relative radiometric correction, while the model obtained for CFL improved from R2 = 0.62 up to R2 = 0.79 after applying the correction. These results show the significance of the relative radiometric correction for reducing radiometric differences measured from different scan angles and for modelling some stand-level forest fuel variables.

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“…However, the reliability ratio increased for all the metrics as pulse density increased, until reaching a threshold where it remained stable. A possible Strunk et al (2012) González-Ferreiro et al ( 2012 Crespo-Peremarch et al (2018a)).…”

Section: Introductionmentioning

confidence: 99%

Processing and analysis of airborne fullwaveform laser scanning data for the characterization of forest structure and fuel properties

Peremarch¹

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Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics

Cited by 16 publications

References 36 publications

Analysis of Side-Lap Effect and Characterization of Understory Vegetation Using Full-Waveform ALS

Analysis of Side-Lap Effect and Characterization of Understory Vegetation Using Full-Waveform ALS

A Full-Waveform Airborne Laser Scanning Metric Extraction Tool for Forest Structure Modelling. Do Scan Angle and Radiometric Correction Matter?

Processing and analysis of airborne fullwaveform laser scanning data for the characterization of forest structure and fuel properties

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