An approach to reduce mapping errors in the production of landslide inventory maps

Santangelo, Michele; Marchesini, Ivan; Bucci, Francesco; Cardinali, Mauro; Fiorucci, Federica; Guzzetti, Fausto

doi:10.5194/nhess-15-2111-2015

Cited by 74 publications

(57 citation statements)

References 58 publications

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“…the overlapping area) between two time slices. This is qualitatively similar to the error index that has been used to calculate the positional mismatch for pairs of corresponding landslides in the two inventories (Ardizzone et al 2002;Carrara et al 1992;Santangelo et al 2015). The overlap index is non dimensional, ranges from zero (no overlap) to unity (perfect overlap) and is not a function of the size of the study area.…”

Section: Degree Of Overlapsupporting

confidence: 57%

Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory

Samia¹,

Temme

Bregt³

et al. 2016

Landslides

142

109

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Landslides are a major category of natural disasters, causing loss of lives, livelihoods and property. The critical roles played by triggering (such as extreme rainfall and earthquakes), and intrinsic factors (such as slope steepness, soil properties and lithology) have previously successfully been recognized and quantified using a variety of qualitative, quantitative and hybrid methods in a wide range of study sites. However, available data typically do not allow to investigate the effect that earlier landslides have on intrinsic factors and hence on follow-up landslides. Therefore, existing methods cannot account for the potentially complex susceptibility changes caused by landslide events. In this study, we used a substantially different alternative approach to shed light on the potential effect of earlier landslides using a multitemporal dataset of landslide occurrence containing 17 time slices. Spatial overlap and the time interval between landslides play key roles in our work. We quantified the degree to which landslides preferentially occur in locations where landslides occurred previously, how long such an effect is noticeable, and how landslides are spatially associated over time. We also investigated whether overlap with previous landslides causes differences in landslide geometric properties. We found that overlap among landslides demonstrates a clear legacy effect (path dependency) that has influence on the landslide affected area. Landslides appear to cause greater susceptibility for follow-up landslides over a period of about 10 years. Follow-up landslides are on average larger and rounder than landslides that do not follow earlier slides. The effect of earlier landslides on follow-up landslides has implications for understanding of the landslides evolution and the assessment of landslide susceptibility.

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Section: Degree Of Overlapsupporting

confidence: 57%

Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory

Samia¹,

Temme

Bregt³

et al. 2016

Landslides

142

109

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“…Geomorphologic analysis is one of the most fundamental tasks for the landslide study; however, it depends on the resolution and the quality of dataset used (Santangelo et al, 2015b). Classical techniques, such as aerial photography and stereoscope analysis, were used to extract detailed features of the target area (Santangelo et al, 2015b).…”

Section: Geological Backgroundmentioning

confidence: 99%

“…Classical techniques, such as aerial photography and stereoscope analysis, were used to extract detailed features of the target area (Santangelo et al, 2015b). Nevertheless, in Taiwan, heavy precipitation induced by the annual northeast monsoon easily modifies the landslide topography.…”

Section: Geological Backgroundmentioning

confidence: 99%

“…Consequently, quantitative studies have been successfully conducted for delineating landslides; determining risks (Gritzner et al, 2001), landslide morphology (Glenn et al, 2006;Staley et al, 2006;Santangelo et al, 2015b), and activity Chang et al, 2006); estimating cut-and-fill volumes Chen et al, 2006;Chan et al, 2012;Hsieh et al, 2016); and performing geological mapping (Yeh et al, 2014). In this study, an Optech ALTM3070 apparatus was used to record the positions of the laser reflecting points with a rate of up to 71 000 pulses per second when we conducted the Central Geological Survey project in 2005.…”

Section: Geological Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data

Chang

Chan

Chen

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Several remote sensing techniques, namely traditional aerial photographs, an unmanned aircraft system (UAS), and airborne lidar, were used in this study to decipher the morphological features of obscure landslides in volcanic regions and how the observed features may be used for understanding landslide occurrence and potential hazard. A morphological reconstruction method was proposed to assess landslide morphology based on the dome-shaped topography of the volcanic edifice and the nature of its morphological evolution. Two large-scale landslides in the Tatun volcano group in northern Taiwan were targeted to more accurately characterize the landslide morphology through airborne lidar and UAS-derived digital terrain models and images. With the proposed reconstruction method, the depleted volume of the two landslides was estimated to be at least 820 ± 20 × 10 6 m 3 . Normal faulting in the region likely played a role in triggering the two landslides, because there are extensive geological and historical records of an active normal fault in this region. The subsequent geomorphological evolution of the two landslides is thus inferred to account for the observed morphological and tectonic features that are indicative of resulting in large and life-threatening landslides, as characterized using the recent remote sensing techniques.

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“…In addition, the quality of the final map depends on the spatial resolution of the airborne photographs, the scale of the topographic maps, and the complexity of the landscape (Carrara et al, 1992;Ardizzone et al, 2002;Galli et al, 2008). The interpretation of the airborne photographs to produce the landslide inventory map may also induce some mapping errors (Marchesini et al, 2013;Santangelo et al, 2015). According to Brardinoni et al (2003), forest canopy (notably in old-growth forest) increases the population of "not visible" landslides which can represent up to 85 % of the total number of failures.…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. In the paper we analyse a multi-date landslide inventory prepared for a mountainous area affected by several landslide types with different degrees of activity, we attempt to quantify the uncertainties associated to the mapping, we measure the evolution of morphological indicators and estimate landslide activity and temporal occurrence. The inventory, covering the period 1956-2010, is prepared for the middle section of the Ubaye valley (southern French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, orthophotographs and SAR (synthetic aperture radar) satellite images). The uncertainties derived from the expert interpretation of different sources of information, the landslide morphological features and the affected land covers are taken into account in relation to the source documents.Morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency-area density functions are computed to estimate the changes in the landslide distributions and a Poisson model is used to estimate the probability of reactivation of the observed landslides and the occurrence of new failures. The proposed multi-date inventory and the associated statistics provide additional information to the event catalogue managed by the local policy makers.

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An approach to reduce mapping errors in the production of landslide inventory maps

Cited by 74 publications

References 58 publications

Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory

Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory

Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

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