Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography

Lin, Chih Chung; Tseng, Chin-Chung; Tseng, Yi Hsing; Fei, Li Yuan; Hsieh, Yu-Chung; Tarolli, Paolo

doi:10.1016/j.jseaes.2012.10.022

Cited by 90 publications

(64 citation statements)

References 54 publications

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“…LiDAR) (Tarolli, 2014). Through high-resolution topography it is possible to recognize in detail local variations in hillslope and valley morphology, and better detect the landslide locations (Lin et al, 2013). However, Zhang and Montgomery (1994) suggested that a resolution of 10 m would be enough for DTM-based geomorphic and hydrological modelling.…”

Section: Penna Et Al: Prediction Of Natural and Road-related Shalmentioning

confidence: 99%

The influence of grid resolution on the prediction of natural and road-related shallow landslides

Penna

Borga

Aronica

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. This work evaluates the predictive power of the quasi-dynamic shallow landslide model QD-SLaM to simulate shallow landslide locations in a small-scale Mediterranean landscape, namely, the lower portion (2.6 km 2 ) of the Giampilieri catchment, located in Sicily (Italy). The catchment was impacted by a sequence of high-intensity storms over the years [2007][2008][2009], resulting in widespread landsliding, with a total landslide initiation area amounting to 2.6 % of the basin area. The effect of high-resolution digital terrain models (DTMs) on the quality of model predictions is tested by considering four DTM resolutions: 2, 4, 10 and 20 m. Moreover, the impact of the dense forest road network on the model performance is evaluated by separately considering road-related landslides and natural landslides. The landslide model does not incorporate the description of road-related failures and is applied without calibration of the model parameters. The model predictive power is shown to be DTM-resolution dependent. Use of coarser resolution has a smoothing effect on terrain attributes, with local slope angles decreasing and contributing areas becoming larger. The percentage of watershed area represented by the model as unconditionally unstable (i.e. failing even without the addition of water from precipitation) ranges between 6.3 % at 20 m DTM and 13.8 % at 2 m DTM, showing an overestimation of the mapped landslide area. We consider this prediction as an indication for likely failing sites in future storms rather than areas proved stable during previous storms. When assessed over the sample of mapped non-road-related landslides, better model performances are reported for 4 and 10 m DTM resolution, thus highlighting the fact that higher DTM resolution does not necessarily mean better model performances. Model performances over road-related failures are lower than for the natural cases, and slightly increase with decreasing DTM resolution. These findings indicate that to realize the full potential of high-resolution topography, more extensive work is needed aiming more specifically to identify the extent of the artificial structures and their impact on shallow landsliding processes.

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Section: Penna Et Al: Prediction Of Natural and Road-related Shalmentioning

confidence: 99%

The influence of grid resolution on the prediction of natural and road-related shallow landslides

Penna

Borga

Aronica

et al. 2014

Hydrol. Earth Syst. Sci.

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“…Chigira et al [24] illustrated that some large, catastrophic landslides that were induced by Typhoon Talas in 2011 were preceded by deep-seated gravitational slope deformation. The series of deep-seated landslides identified from the LiDAR DEM are documented in the eastern part of the study area [50] (see Figure 1). A specific study area (Figures 1 and 7) was selected to illustrate the usefulness of employing LiDAR-derived-DEM and related visualization techniques to detect these deepseated landslides scars.…”

Section: Interpretation Of Deep-seated Landslidesmentioning

confidence: 99%

Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM

et al. 2015

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Steep topographic reliefs and heavy vegetation severely limit visibility when examining geological structures and surface deformations in the field or when detecting these features with traditional approaches, such as aerial photography and satellite imagery. However, a light detection and ranging (LiDAR)-derived digital elevation model (DEM), which is directly related to the bare ground surface, is successfully employed to map topographic signatures with an appropriate scale and accuracy and facilitates measurements of fine topographic features. This study demonstrates the efficient use of 1-m-resolution LiDAR for tectonic geomorphology in forested areas and to identify a fault, a deep-seated landslide, and the regional cleavage attitude in southern Taiwan. Integrated approaches that use grayscale slope images, openness with a tint color slope visualization, the three-dimensional (3D) perspective of a red relief image map, and a field investigation are employed to identify the aforementioned features. In this study, the previously inferred Meilongshan Fault is confirmed as a NE-SW-trending, eastern dipping thrust with at least a 750 m-wide deformation zone. The site where future paleoseismological studies should be performed has been identified, and someone needs to work further on this site. Signatures of deep-seated landslides, such as double ridges, trenches, main escarpments, and extension cracks, are successfully differentiated in LiDAR DEM images through the use of different

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“…where n = size of the moving window g = grid resolution of the DTM a, b, c = Evans' quadratic coefficients for plan curvature These two formulae have been applied successfully for channel network extraction (Sofia et al, 2011) and landslide crown extraction (Tarolli et al 2012;Lin et al, 2013). A mean curvature derived from these two formulae has been used by Pirotti and Tarolli (2010) for channel network extraction.…”

Section: Geomorphic Features Analysismentioning

confidence: 99%

“…Airborne LiDAR (ALS) and Terrestrial Laser Scanner (TLS) derived high-resolution Digital Terrain Models (DTMs) have opened avenues for hydrologic and geomorphologic studies (Slatton et al, 2007;Tarolli et al, 2009). Several researches demonstrated the opportunities and challenges of high resolution topography in many topics, including landsliding (McKean and Roering, 2004;Booth et al, 2009;Kasai et al, 2009;Tarolli et al, 2012;Lin et al, 2013), hillslope environments (Lashermes et al, 2007;Tarolli and Dalla Fontana, 2009;Passalacqua et al, 2010;Orlandini et al, 2011), fluvial environments (Hilldale and Raff, 2008;Jones et al, 2007;Cavalli et al, 2008;Notebaert et al, 2009;Cavalli and Tarolli, 2011;Legleiter, 2012), forestry (Pirotti et al, 2013a), and tectonics (Hilley and Arrowsmith, 2008;Kondo et al, 2008). In general, all the main surface processes signatures are correctly recognized using a DTM with cell sizes of 1 m.…”

Section: Introductionmentioning

confidence: 99%

“…The acquired elevation data with TLS allow to derive a centimetres high quality DTMs. The possibility to detect in detail the slope failures' signatures results in a better understanding and mapping of the erosion susceptibility (Tarolli et al, 2012;Lin et al, 2013), and of those areas where slope failures are more likely to happen. In addition, this information can be also considered as the basis for developing risk maps.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Terrestrial Laser Scanner Data to Support Coastal Erosion Analysis: The Conero Case Study

Calligaro

Sofia

Prosdocimi

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In this work a detailed TLS survey was carried out in summer 2012, in the Conero Regional Park (Marche, province of Ancona), along the "spiaggia San Michele" and "spiaggia Sassi Neri". These areas present several sections affected by erosion, rock falls and slope failures. They also belong to a very prestigious place for tourism during the summer season; therefore, deriving a risk map for these areas is really useful. Thanks to the TLS survey, it was possible to obtain a centimetre resolution DTM covering a reach of about 1.5 km of the coast. This high resolution DTM was used to derive some primary topographic attributes that allowed to arrange a preliminary discussion about the likely unstable areas. These topographic information and results will also serve as the reference point for future yearly TLS surveys, which will absolutely help in recognizing any micro changes and slope failures, improving the risk maps.

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Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography

Cited by 90 publications

References 54 publications

The influence of grid resolution on the prediction of natural and road-related shallow landslides

The influence of grid resolution on the prediction of natural and road-related shallow landslides

Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM

Terrestrial Laser Scanner Data to Support Coastal Erosion Analysis: The Conero Case Study

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