LiDAR and UAV System Data to Analyse Recent Morphological Changes of a Small Drainage Basin

Borrelli, Luigi; Conforti, Massimo; Mercuri, Michele

doi:10.3390/ijgi8120536

Cited by 17 publications

(12 citation statements)

References 39 publications

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“…The mass balance shows a deficit of 0.69 × 10 6 m 3 (about 44% volume loss). Negative mass balances were generally attributed to the removal of material by surface runoff or river erosion, or, in some case, is the result of DTM errors [38,88,89]. In our case, the multi-temporal analysis and field observations showed that part of the mobilized material reached the Straface River and was eroded by the water flow, which has also limited the development of the accumulation area.…”

Section: Discussionmentioning

confidence: 54%

“…In the last few years, among the remote sensing techniques, there has been a rapid development of the application of Unmanned Aerial Vehicles (UAV) for landslide studies [36][37][38][39][40]. The advantages of UAV-based remote sensing are the following [41]: (i) realtime applicability; (ii) flexible survey planning; (iii) high resolution and low cost.…”

Section: Introductionmentioning

confidence: 99%

“…Several landslide studies highlighted the idea that the comparisons of ortho-images and/or high resolution DTMs, besides the space-time changes of landslide area and of the estimate of the volume of accumulated or removed material, allows us to detect and analyze the spatial distribution and evolution of landforms related to the landslide activity, e.g., scarps, tension cracks, counter slopes, shear zones, trenches, displacement vectors, etc. [27,38,39,42].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Morphological Changes Detection of a Large Earthflow Using Archived Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing

Conforti

Mercuri²,

Borrelli

2020

Remote Sensing

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In mountainous landscapes, where strongly deformed pelitic sediments outcrop, earthflows can dominate denudation processes and landscape evolution. This paper investigated geological and geomorphological features and space-time evolution over a 65-year time span (1954–2019) of a large earthflow, representative of wide sectors of the Apennine chain of southern Italy. The landslide, with a maximum length of 1.85 × 103 m, affects an area of 4.21 × 105 m2 and exhibits two source zones: a narrow and elongated transport zone and a lobate accumulation zone. Spatial and temporal morphological changes of the earthflow were assessed, comparing multi-source and multi-temporal data (aerial photographs, Google Earth satellite images, Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicles (UAV) system data). Geomorphic changes, quantified using Digital Terrain Models (DTMs) of differences, highlighted an extensive lowering of the topographic surface in the source area and a significant uplift at the landslide toe. Moreover, the multi-temporal analysis showed a high increase of landslide surface (more than 66%) during the last 65 years. The volumetric analyses showed that different sectors of the earthflow were active at different times, with different rates of topographic change. Overall, the used approach highlighted the great potentiality of the integration of multi-source and multi-temporal data for the diachronic reconstruction of morphological landslide evolution.

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Section: Discussionmentioning

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Morphological Changes Detection of a Large Earthflow Using Archived Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing

Conforti

Mercuri²,

Borrelli

2020

Remote Sensing

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“…The results highlight that the SLs significantly control the present-day morphodynamic of the landscape (Figure 5b), and consequently are a great source of sediment delivered to streams (Roda-Boluda et al 2018;Borrelli et al 2019;Zhu et al 2019;Conforti et al 2021). Along the slopes, the occurrence of SLs was observed either isolated or clustered in groups of several landslides.…”

Section: Shallow Landslides and Their Relation With Geo-environmental Variablesmentioning

confidence: 82%

A refinement analysis of the shallow landslides susceptibility at regional scale supported by GIS-aided geo-database

Gullà

Conforti

Borrelli

2021

Geomatics, Natural Hazards and Risk

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Intense rainfall events often produce a great number of shallow landslides events, which in many cases can hits large areas or an entire regional territory. These slope instabilities cause damage to many roads, buildings, and infrastructures and often human loss. In these conditions, it is useful to refine shallow landslides susceptibility maps at regional scale progressively more reliable and efficacy. To take the highlighted goal it is opportune to promote the use of a circular approach that can considers knowledge (data, methods, models, solutions, etc.) constantly upgraded. To achieve this aims we propose a method that introduces structurally in a possible circular approach (progressive better results with constantly upgraded knowledge) the use of a comprehensive geo-database of shallow landslide events and related implemented through a collection and analysis of numerous sources, including published inventory maps, scientific literature, technical reports and newspapers, integrated by a multi-temporal interpretation of remote sensing images and several field surveys. The method is applied referring to the Calabria region, which is largely affected by this landslide category. The refined geo-database realized includes 22,028 shallow landslides, occurred between 1951 and 2017. The relationship between spatial pattern of the shallow landslides and the analyzed predisposing factors (lithological units, fault density, land use, drainage density, slope gradient, TWI, SPI and LS) showed that the high values of slope gradient, LS factor and drainage density, coupled to low values of TWI, displayed a strong control on the shallow landslide occurrence. The efficacy of the geo-database realization proves their usefulness in order to estimate and validate shallow landslide susceptibility map, which was optimally obtained applied a simple bivariate statistical method. The susceptibility map was classified into five classes and about 26% of the study area falls in high and very high susceptible classes and most of the shallow landslides mapped (76%) occur in the same classes. The AUC value of the prediction rate curve was 0.81, indicating a good prediction capability of the susceptibility map. The interaction between shallow landslide susceptibility map and road network map highlighted that the 20% of the roadways of the region area falls in high and very high ARTICLE HISTORY

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“…In recent years, the rapid development of low-altitude remote sensing platforms such as UAV has provided a new method of data acquisition for SfM photogrammetry. Because of its low cost, high data acquisition efficiency, and simple and flexible methods, this method has been applied to many fields of geoscience research [42,43]. As UAV flying heights are close to the ground, the accuracy of the obtained data is also improved, which can increase the terrain details and provide a new method for describing the tectonic active landscape [38,44].…”

Section: Methodology and Datamentioning

confidence: 99%

Surface Slip Distribution and Earthquake Rupture Model of the Fuyun Fault, China, Based on High-Resolution Topographic Data

et al. 2021

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The characteristics of earthquake surface ruptures, such as geometry, slip distribution, and coseismic deformation, contain important information about the earthquake rupture process, and so investigations and analyses of earthquake surface rupture have played a crucial role in modern earthquake hazard studies, especially with the increasing availability of high-resolution topographic and imagery data for tectono-geomorphic interpretation. In this study, we use Structure from Motion (SfM) photogrammetry to build a 1 m resolution digital elevation model (DEM) of the fault and combine this with filed observations to map the surface ruptures of the 1931 M8.0 Fuyun earthquake, China. These high-resolution topographic data enable to identify and measure the displaced gullies, and so the rupture locations and along-strike slip distribution are obtained in detail. Four paleoearthquake events are identified through the offset cluster characteristics. The coseismic offset of the 1931 Fuyun earthquake is extracted from the offset distribution, which shows four continuous undulations along the fault strike, corresponding to the four segments of surface rupture. Moreover, a high offset gradient is observed in the step area connected by the rupture segment. These findings, combined with the width and bending angle of the step area at the joint of the rupture segment, indicate that the 1931 Fuyun earthquake was a cascade rupture formed by four rupture segments. This study expands the available offset measurement data of Fuyun fault and confirms the applicability of high-resolution topographic data to active tectonic research.

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LiDAR and UAV System Data to Analyse Recent Morphological Changes of a Small Drainage Basin

Cited by 17 publications

References 39 publications

Morphological Changes Detection of a Large Earthflow Using Archived Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing

Morphological Changes Detection of a Large Earthflow Using Archived Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing

A refinement analysis of the shallow landslides susceptibility at regional scale supported by GIS-aided geo-database

Surface Slip Distribution and Earthquake Rupture Model of the Fuyun Fault, China, Based on High-Resolution Topographic Data

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