Different Paths for Developing Terrestrial LiDAR Data for Comparative Analyses of Topographic Surface Changes

Kociuba, Waldemar

doi:10.3390/app10217409

Cited by 13 publications

(8 citation statements)

References 34 publications

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“…The slope should be as perpendicular as possible to the TLS laser beam's line-of-sight for the beam to penetrate and reach the soil surface. Furthermore, the automated vegetation removal (e.g., CSF algorithm [72]) is sometimes not very useful in some applications in TLS approach (e.g., at S1 on 11 October 2020), due to the algorithm procedure and TLS survey viewpoints. On the other hand, the vegetation cover usually obscures the proper surface reconstruction in UAV point clouds.…”

Section: Discussionmentioning

confidence: 99%

Comparing High Accuracy t-LiDAR and UAV-SfM Derived Point Clouds for Geomorphological Change Detection

Alexiou

Deligiannakis

Pallikarakis

et al. 2021

IJGI

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Analysis of two small semi-mountainous catchments in central Evia island, Greece, highlights the advantages of Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanning (TLS) based change detection methods. We use point clouds derived by both methods in two sites (S1 & S2), to analyse the effects of a recent wildfire on soil erosion. Results indicate that topsoil’s movements in the order of a few centimetres, occurring within a few months, can be estimated. Erosion at S2 is precisely delineated by both methods, yielding a mean value of 1.5 cm within four months. At S1, UAV-derived point clouds’ comparison quantifies annual soil erosion more accurately, showing a maximum annual erosion rate of 48 cm. UAV-derived point clouds appear to be more accurate for channel erosion display and measurement, while the slope wash is more precisely estimated using TLS. Analysis of Point Cloud time series is a reliable and fast process for soil erosion assessment, especially in rapidly changing environments with difficult access for direct measurement methods. This study will contribute to proper georesource management by defining the best-suited methodology for soil erosion assessment after a wildfire in Mediterranean environments.

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Section: Discussionmentioning

confidence: 99%

Comparing High Accuracy t-LiDAR and UAV-SfM Derived Point Clouds for Geomorphological Change Detection

Alexiou

Deligiannakis

Pallikarakis

et al. 2021

IJGI

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“…For the recording, study and monitoring of the vaults and arches of the refectory, in the different stages analysed, and given their sometimes difficult accessibility, we have opted for the use of digital tools. On the one hand, through the use of terrestrial light detection and ranging technology [24] (LIDAR) using a high-precision laser scanner [25] for data collection, its subsequent graphic survey and virtualisation in three dimensions using the Cyclone, 3DReshaper, and Cloudcompare software [26], and the capture of high-resolution images.…”

Section: Use Of Terrestrial Laser Scanner (Tls) and Structure From Motion (Sfm) In The Monitoring Of Cultural Heritage Restoration Workmentioning

confidence: 99%

“…The CINTEC ST system was used to tie the walls enclosing the refectory in order to ensure that the separated parts were sewn together. The back of the vaults is reinforced by plastering with PLANITOP HDM Restauro fibre-reinforced bicomponent mortar reinforced with Mapei fibreglass mesh, guaranteeing their uniformity [20][21][22][23][24]; 4.…”

mentioning

confidence: 99%

Advances in the Restoration of Buildings with LIDAR Technology and 3D Reconstruction: Forged and Vaults of the Refectory of Santo Domingo de Orihuela (16th Century)

et al. 2021

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This research presents a new intervention methodology on arches and vaults of a Renaissance factory in the Colegio Santo Domingo de Orihuela (16th century) using 3D software LIDAR technology that verifies the execution process of the works studying the different charges states and structure behavior. This document aims to explain a working methodology in the monitoring of structural repair interventions in the architectural heritage, in the specific case of the replacement of traditional one-way timber joist frame slabs on structures of former, splay and groin arches between vaults. This involves the compilation and processing of two types of data: on the one hand, the analysis of the different load states to which the intervention is exposed in its different phases: initial, dismantling of the different layers of traditional construction and replacement by the new structural system; and, on the other hand, the graphic information provided by the photogrammetry techniques used to dimension and define the spatial position of the structural elements that have historically resolved the covering of the architectural space in this type of Renaissance solution. The different layers and demolished materials have been verified by analysing their constructive disposition, thicknesses, and dimensions of the elements that formed part of the initial construction system and their own weights. In addition, the new construction systems used in the restoration project generate a state of loads similar to the existing one. The LIDAR technology used in the research process provides graphic data of the spatial position of the arches and vaults studied in the different states of the construction intervention. The point clouds obtained are analysed by taking as reference fixed points (considered unalterable and infinitely rigid) of the refectory and the coordinates of the initial and final states are compared. The results show minimal variations between the two positions, which justifies the goodness of the construction methods used and the structural safety obtained in the complex. This methodology applied to arches and vaults in heritage architecture guarantees the control and recording of the movements produced in the process.

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“…The position was established on the basis of a signal from at least nine satellites of the Global Positioning System (GPS) and the Global Navigation Satellite System (GPS+GLONASS; both a Global Positioning System (GPS) and its Russian equivalent named Globalnaya Navigacionaya Sputnikovaya Sistema (GLONASS)) by averaging out five measurement epochs (the number of samples used for averaging out the coordinates). Also, the range of the measurement ambiguity of the predefined receiver was set so as to make sure that vertical and horizontal deviation did not exceed 0.02 m [62]. DMSs that contained from 19,308,739 M pt to 71,535,423 M pt were obtained, which corresponds to a density of 336 to 90 pt m −2 .…”

Section: Dem Parameters and Data Analysismentioning

confidence: 99%

A Short-Time Repeat TLS Survey to Estimate Rates of Glacier Retreat and Patterns of Forefield Development (Case Study: Scottbreen, SW Svalbard)

2020

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The study presents findings from comparative analyses of high-resolution differential digital elevation models (DEM of Difference—DoD) based on terrestrial laser scanning (TLS) surveys. The research was conducted on the 0.2 km2 Scottbreen valley glacier foreland located in the north-western part of Wedel-Jarlsberg Land (Svalbard) in August of 2013. The comparison between DTMs at 3-week intervals made it possible to identify erosion and depositional areas, as well as the volume of the melting glacier’s terminus. It showed a considerable recession rate of the Scottbreen (20 m year−1) while its forefield was being reshaped by the proglacial Scott River. A study area of 205,389 m2, 31% of which is occupied by the glacier (clear ice zone), was included in the repeated TLS survey, which was performed from five permanent scan station points (registered on the basis of five target points—TP). The resultant point clouds with a density ranging from 91 to 336 pt m−2 were converted into DEMs (at a spacing of 0.1 m). They were then put together to identify erosion and depositional areas using Geomorphic Change Detection Software (GCD). During the 3-week interval, the retreat of the glacier’s snout ranged from 3 to 9 m (mean of 5 m), which was accompanied by an average lowering of the surface by up to 0.86 m (±0.03 m) and a decrease of ice volume by 53,475 m3 (±1761 m3). The deglaciated area increased by 4549 m2 (~5%) as a result of the recession, which resulted in an extensive reshaping of the recently deglaciated area. The DEM of Difference (DoD) analyses showed the following: (i) lowering of the glacial surface by melting and ii) predominance of deposition in the glacier’s marginal zone. In fact, 17,570 m3 (±1172 m3) of sediments were deposited in the glacier forefield (41,451 m2). Also, the erosion of sediment layers having a volume of 11,974 m3 (±1313 m3) covered an area equal to 46,429 m2 (53%). This occurrence was primarily based on the washing away of banks and the deepening of proglacial stream beds, as well as the washing away of the lower parts of moraine hillocks and outwash fans.

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Different Paths for Developing Terrestrial LiDAR Data for Comparative Analyses of Topographic Surface Changes

Cited by 13 publications

References 34 publications

Comparing High Accuracy t-LiDAR and UAV-SfM Derived Point Clouds for Geomorphological Change Detection

Comparing High Accuracy t-LiDAR and UAV-SfM Derived Point Clouds for Geomorphological Change Detection

Advances in the Restoration of Buildings with LIDAR Technology and 3D Reconstruction: Forged and Vaults of the Refectory of Santo Domingo de Orihuela (16th Century)

A Short-Time Repeat TLS Survey to Estimate Rates of Glacier Retreat and Patterns of Forefield Development (Case Study: Scottbreen, SW Svalbard)

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