Landslide detection and inventory by integrating LiDAR data in a GIS environment

Published on Dec 1, 2015in Landslides4.708
· DOI :10.1007/S10346-014-0534-5
José Antonio Palenzuela6
Estimated H-index: 6
(UGR: University of Granada),
Maria Marsella21
Estimated H-index: 21
(Sapienza University of Rome)
+ 4 AuthorsC. Irigaray17
Estimated H-index: 17
(UGR: University of Granada)
In this work, a simple methodology is presented for processing high-resolution topographical data over wide areas. It is based on digital elevation model of differences (DEMoD) among high-resolution digital models (HRDEM) produced from light-detection and ranging (LiDAR) data. Because these qualitative approaches based on HRDEMs can be affected by errors related to misalignment between different passes of the airborne sensor and errors in classifying points, a simplified strategy was undertaken for their semi-automatic correction and supervision for analyzing geomorphological changes. Besides, it became possible to detect, delineate, and classify a total of 47 natural landslides and 50 slope-cut failures over an area of 234 km2 on the basis of the analysis of the LiDAR products (DEMs and DEMoD) and the orthophotography imagery inspection integrated in a geographical information system (GIS). Most of the displacements detected were probably generated during the winter of 2009–2010 when a new record of cumulative rainfall was reached. The displacement rate of these movements cannot be known with precision, but the minimum velocity that can be obtained is 0.3 m/year regarding the period between the two data acquisitions carried out in November 2008 and July 2010. On the other hand, a comparison was made of the existing susceptibility maps with respect to this new inventory, which indicated greater landslide frequency in areas of moderate susceptibility levels. The influence of treating inventories at different temporal scales is discussed.
📖 Papers frequently viewed together
5 Citations
13 Citations
135 Citations
#1Jordi Corominas (UPC: Polytechnic University of Catalonia)H-Index: 30
#2C.J. van Westen (UT: University of Twente)H-Index: 38
Last. J.T. Smith (Golder Associates)H-Index: 3
view all 17 authors...
This paper presents recommended methodologies for the quantitative analysis of landslide hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and national), as well as for the verification and validation of the results. The methodologies described focus on the evaluation of the probabilities of occurrence of different landslide types with certain characteristics. Methods used to determine the spatial distribution of landslide intensity, the characterisation ...
492 CitationsSource
#1Joshua J. Roering (UO: University of Oregon)H-Index: 39
#2Benjamin H. Mackey (UO: University of Oregon)H-Index: 12
Last. C. Cerovski-Darriau (UO: University of Oregon)H-Index: 6
view all 8 authors...
article i nfo The emergence of airborne lidar data for studying landscape evolution and natural hazards has revolution- ized our ability to document the topographic signature of active and ancient surface processes. Notable lidar-facilitated discoveries, however, would not have been possible without the coupling of fieldwork and lidar analysis, which contradicts the ill-considered notion that high resolution remote sensing technologies will replace geomorphic field investigations. Here, we attem...
87 CitationsSource
#1Guoquan Wang (UH: University of Houston)H-Index: 19
#2James Joyce (RUM: University of Puerto Rico at Mayagüez)H-Index: 3
Last. William E. Carter (UH: University of Houston)H-Index: 25
view all 5 authors...
Light detection and ranging (LIDAR) is a remote sensing technique that uses light, often using pulses from a laser to measure the distance to a target. Both terrestrial- and airborne-based LIDAR techniques have been frequently used to map landslides. Airborne LIDAR has the advantage of identifying large scarps of landslides covered by tree canopies and is widely applied in identifying historical and current active landslides hidden in forested areas. However, because landslides naturally have re...
29 CitationsSource
#1Alexander Daehne (UMKC: University of Missouri–Kansas City)H-Index: 3
#2Alessandro Corsini (University of Modena and Reggio Emilia)H-Index: 24
Earthflow-type landslides are persistent natural hazards having deep socio-economic and environmental consequences. They have significantly contributed to the geomorphic evolution of mountainous slopes in Europe since the Late Glacial. An understanding of their complex kinematics is crucial to better constrain the processes governing their occurrence and mobility. In this work we explored the possibility to quantify displacement vectors on a spatially distributed basis and to quantify volumetric...
39 CitationsSource
#1José Antonio Palenzuela (UGR: University of Granada)H-Index: 6
#2C. Irigaray (UGR: University of Granada)H-Index: 17
Last. J. Chacón (UGR: University of Granada)H-Index: 17
view all 4 authors...
During the diachronic evolution of landslides, slope-morphology changes may be detected and assessed by using high-resolution digital models. Slope deformation is detected by scanning sequences over a given time period. This paper presents the results found combining TLS digital models and Global Navigation Satellite Systems in the detection and assessment of reactivations and differential displacements of two slides located at the SW of Sierra Nevada (Spain) between 2008 and 2010. In the first ...
3 CitationsSource
Para el analisis de de la evolucion diacronica de los movimientos de ladera es necesario conocer su grado de actividad y desarrollo, velocidad, volumen y localizacion de escarpes y zonas de acumulacion o reduccion de la masa desplazada. Una de las herramientas mas poderosas para la monitorizacion, caracterizacion y cuantificacion de la evolucion del relieve, incluyendo los movimientos de ladera, es la tecnologia TLS (Terrestrial Laser Scanning). Mediante esta tecnica se puede detectar y cuantifi...
3 Citations
#1T. Fernández (University of Jaén)H-Index: 13
#2Jorge Jiménez (UGR: University of Granada)H-Index: 3
Last. J. Chacón (UGR: University of Granada)H-Index: 17
view all 8 authors...
In this work a methodology for preparing landslides susceptibility and hazard maps is presented, based in a bivariate analysis between past movements and determinant factors. The methodology for determining the susceptibility is an adaptation of the matrix method to a GIS, and it has been tested and validated in different zones and environments of Andalusia (southern Spain). The text also discusses the availability of information layers in Spanish SDI to developing these susceptibility maps. For...
8 CitationsSource
#1Claudio MargottiniH-Index: 14
#2Paolo CanutiH-Index: 12
Last. Kyoji SassaH-Index: 38
view all 3 authors...
86 CitationsSource
#1Fausto GuzzettiH-Index: 69
#2Alessandro Cesare Mondini (University of Perugia)H-Index: 18
Last. Kang-Tsung Chang (KNU: Kainan University)H-Index: 26
view all 6 authors...
Landslides are present in all continents, and play an important role in the evolution of landscapes. They also represent a serious hazard in many areas of the world. Despite their importance, we estimate that landslide maps cover less than 1% of the slopes in the landmasses, and systematic information on the type, abundance, and distribution of landslides is lacking. Preparing landslide maps is important to document the extent of landslide phenomena in a region, to investigate the distribution, ...
839 CitationsSource
#1Michel Jaboyedoff (UNIL: University of Lausanne)H-Index: 41
#2Thierry OppikoferH-Index: 16
Last. Andrea Pedrazzini (UNIL: University of Lausanne)H-Index: 17
view all 7 authors...
This paper presents a short history of the appraisal of laser scanner technologies in geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) or 3D models. A general overview of light detection and ranging (LIDAR) techniques applied to landslides is given, followed by a review of different applications of LIDAR for landslide, rockfall and debris-flow. These applications are classified as: (1) Detection and characterization of mass movements; (2) Hazard assessment...
599 CitationsSource
Cited By20
#1YoungH-Index: 1
#1Olufeyisayo Ilesanmi (Missouri University of Science and Technology)
#2J. David Rogers (Missouri University of Science and Technology)H-Index: 12
Last. Francisca E. Oboh-Ikuenobe (Missouri University of Science and Technology)H-Index: 17
view all 0 authors...
The New Madrid Seismic Zone (NMSZ) has historically recorded some of the largest intensity earthquakes in North America, including significant earth movements that resulted in about 2000 felt earthquakes during 1811–1812. The region continues to experience mass wasting due to earth movements. The aim of this study is to understand the influence of geologic variables on mass wasting processes in the greater Cape Girardeau area, which forms the commercial center of Missouri's fertile "Bootheel" re...
3 CitationsSource
#1Prafull Singh (Sewanee: The University of the South)H-Index: 14
#2Ankit Sharma (Amity University)H-Index: 3
Last. Praveen Kumar Rai (Amity University)H-Index: 9
view all 4 authors...
Landslide is a complex natural hazard that sometimes causes disaster resulting in loss of life, assets and infrastructure, especially in the Himalayas. Recent studies suggest that for effective mitigation and resilience through proper planning and policymaking, it is equally important to justify and select a suitable scientific technique that most appropriately addresses the salient causes of a landslide in any area. The principal objective of this study is to carry out a comparative assessment ...
7 CitationsSource
In the absence of systematic structural monitoring to support adequate maintenance standards, many existing infrastructures may reach unacceptable quality levels during their life cycle, resulting in significant damage and even potential failure. The metropolitan area of the Gulf of Salerno (Italy), served by a complex multimodal transport network connecting the port area to the roads and railways surrounding the urban area, represents an important industrial and commercial hub at the local and ...
#1Zhengjing MaH-Index: 1
#2Gang MeiH-Index: 12
Last. Francesco Piccialli (University of Naples Federico II)H-Index: 24
view all 3 authors...
Landslides are one of the most critical categories of natural disasters worldwide and induce severely destructive outcomes to human life and the overall economic system. To reduce its negative effects, landslides prevention has become an urgent task, which includes investigating landslide-related information and predicting potential landslides. Machine learning is a state-of-the-art analytics tool that has been widely used in landslides prevention. This paper presents a comprehensive survey of r...
8 CitationsSource
In the research field on landslide hazard assessment for natural risk prediction and mitigation, it is necessary to know the characteristics of the triggering factors, such as rainfall and earthquakes, as well as possible. This work aims to generate and compare the basic information on rainfall events triggering landslides in two areas with different climate and geological settings: the Loja Basin in southern Ecuador and the southern part of the province of Granada in Spain. In addition, this pa...
2 CitationsSource
#1Ankit SharmaH-Index: 3
#2Ujjwal SurH-Index: 5
Last. Prashant K. SrivastavaH-Index: 35
view all 5 authors...
5 CitationsSource
#2Edel CadenaH-Index: 1
Last. Norma DávilaH-Index: 1
view all 4 authors...
Landslide inventories are extremely important. They are vital for hazard analyses. This article presents an inventory of landslides in Mexico from 1935 to 2017. Although landslide monitoring studies exist in specific areas of the country, so far, no historical catalog has been published that provides a basis for spatial-temporal analysis and determining impact in terms of the loss of human lives. The reported events were categorized as the following types of displacements: fall, landslide, and c...
5 CitationsSource
#1Tuyen Le (Clemson University)H-Index: 5
#2Fahad ul Hassan (Clemson University)H-Index: 3
Last. H. David Jeong (A&M: Texas A&M University)H-Index: 6
view all 4 authors...
AbstractCivil integrated management (CIM) has emerged as an advanced paradigm to transform transportation project delivery and asset management from a paper-based to a digital data-based approach. ...
3 CitationsSource