Full-waveform topographic lidar: State-of-the-art

Mallet, Clément; Bretar, Frédéric

doi:10.1016/j.isprsjprs.2008.09.007

Cited by 673 publications

(429 citation statements)

References 45 publications

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“…Full waveform systems generate much larger volumes of data than discrete return systems. Mallet and Bretar (2009) provide a comprehensive review of full waveform lidar systems.…”

Section: Lidar Technologymentioning

confidence: 99%

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

McRoberts

Cohen

Næsset

et al. 2010

Scandinavian Journal of Forest Research

111

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Tremendous advances in the construction and assessment of forest attribute maps and related spatial products have been realized in recent years, partly as a result of the use of remotely sensed data as an information source. This review focuses on the current state of techniques for the construction and assessment of remote sensing-based maps and addresses five topic areas: statistical classification and prediction techniques used to construct maps and related spatial products, accuracy assessment methods, map-based statistical inference, and two emerging topics, change detection and use of lidar data. Multiple general conclusions were drawn from the review: (1) remotely sensed data greatly contribute to the construction of forest attribute maps and related spatial products and to the reduction of inventory costs; (2) parametric prediction techniques, accuracy assessment methods and probability-based (design-based) inferential methods are generally familiar and mature, although inference is surprisingly seldom addressed; (3) non-parametric prediction techniques and modelbased inferential methods lack maturity and merit additional research; (4) change detection methods, with their great potential for adding a spatial component to change estimates, will mature rapidly; and (5) lidar applications, although currently immature, add an entirely new dimension to remote sensing research and will also mature rapidly. Crucial forest sustainability and climate change applications will continue to push all aspects of remote sensing to the forefront of forest research and operations.

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“…Full waveform systems generate much larger volumes of data than discrete return systems. Mallet and Bretar (2009) provide a comprehensive review of full waveform lidar systems.…”

Section: Lidar Technologymentioning

confidence: 99%

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

McRoberts

Cohen

Næsset

et al. 2010

Scandinavian Journal of Forest Research

111

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“…2017, 9, 1109 3 of 16 Third, the BFWS is reflected by the beam splitter 1 and focused by a focusing lens. Two APDs are placed before and after the focus of the focusing lens (offset distance is L).…”

Section: Principlementioning

confidence: 99%

“…Three objects with different reflectivities are selected and are positioned at different ranges to the laser. The set parameters of the pulse laser and the three objects are as shown in Table 1 [3, 16,20].…”

Section: Simulation Parameters and Model Verificationmentioning

confidence: 99%

A Novel De-Noising Method for Improving the Performance of Full-Waveform LiDAR Using Differential Optical Path

et al. 2017

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A novel de-noising method for improving the performance of full-waveform light detection and ranging (LiDAR) based on differential optical path is proposed, and the mathematical models of this method are developed and verified. Backscattered full-waveform signal (BFWS) is detected by two avalanche photodiodes placed before and after the focus of the focusing lens. On the basis of the proposed method, some simulations are carried out and conclusions are achieved.(1) Background noise can be suppressed effectively and peak points of the BFWS are transformed into negative-going zero-crossing points as stop timing moments. (2) The relative increment percentage of the signal-to-noise ratio based on the proposed method first dramatically increases with the increase of the distance, and then the improvement gets smaller by increasing the distance. (3) The differential Gaussian fitting with the Levenberg-Marquardt algorithm is applied, and the results show that it can decompose the BFWS with high accuracy. (4) The differential distance should not be larger than c/2 × τ rmin , and two variable gain amplifiers can eliminate the inconsistency of two differential beams. The results are beneficial for designing a better performance full-waveform LiDAR.

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“…Landslides are monitored by using Total Stations (Stiros et al 2004;Tsai et al 2012) and laser scanners, both conventional (Kasperski e al. 2010;Lichun et al 2008) and recent models capable of fullwaveform analysis (Mallet and Bretar 2009;Pirotti et al 2013).…”

Section: Reflector-less Robotic Surveyingmentioning

confidence: 99%

Rupestrian World Heritage Sites: Instability Investigation and Sustainable Mitigation

Margottini

Bobrowsky

Gigli

et al. 2017

Advancing Culture of Living With Landslides

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Rupestrian settlements were among the first man-made works in the history of humanity. The most relevant masterpieces of such human history have been included in the UNESCO World Heritage List. These sites and their associated remains are not always in equilibrium with the environment. They are continuously impacted and weathered by a variety of internal and external factors, both natural and human-induced, with rapid and/or slow onset. These include major sudden natural hazards, such as earthquakes or extreme meteorological events, but also slow cumulative processes such as the erosion of rocks, compounded by the effects of climate change, as well as the role of humans, especially in conflict situations. Many rupestrian sites have been carved into soft rock, generally with UCS < 25 MPa (ISRM in Int J Rock Mech Min Sci Geomech Abs 18:85-110, 1981), in vertical cliffs, and show major conservation issues in the domain of rock slope stability and rock weathering. This paper reports the experience of rock fall mitigation in rupestrian sites, mainly from the UNESCO World Heritage List (Bamiyan in Afghanistan; Lalibela in Ethiopia; Petra in Jordan, Vardzia in Georgia and others). The general approach, implemented in the activities, includes a very detailed interdisciplinary study, with the objective to understand degradation processes and causative factors, followed, as a subsequent step, by proper field conservation work. The latter is mainly related to re-discovering and potential application of traditional knowledge and sustainable practices, and is primarily based on local conservation techniques.

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Full-waveform topographic lidar: State-of-the-art

Cited by 673 publications

References 45 publications

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

Using remotely sensed data to construct and assess forest attribute maps and related spatial products

A Novel De-Noising Method for Improving the Performance of Full-Waveform LiDAR Using Differential Optical Path

Rupestrian World Heritage Sites: Instability Investigation and Sustainable Mitigation

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