Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images

Mondini, Alessandro Cesare; Guzzetti, Fausto; Reichenbach, Paola; Rossi, Mauro; Cardinali, Mauro; Ardizzone, Francesca

doi:10.1016/j.rse.2011.03.006

Cited by 254 publications

(157 citation statements)

References 51 publications

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“…All the information that were collected giving costs (estimated by local authorities or allocated by law) related to landslide damage were associated to a unique road and organized in a database. (Ardizzone et al 2012) in an area of approximately 60 km 2 (Mondini et al 2011). For our study, we focus on the area where landslides were most abundant and damaging, and specifically in the Briga, Giampilieri, Divieto and Racinazzo coastal catchments, covering a total study area A S = 22 km 2 (Fig.…”

Section: Methodsmentioning

confidence: 99%

Impact of event landslides on road networks: a statistical analysis of two Italian case studies

et al. 2017

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Despite abundant information on landslides, and on landslide hazard and risk, in Italy, little is known on the direct impact of event landslides on road networks and on the related economic costs. We investigated the physical and economic damage caused by two rainfall-induced landslide events in Central and Southern Italy, to obtain road restoration cost statistics. Using a GIS-based method, we exploited road maps and landslide event inventory maps to compute different metrics that quantify the impact of the landslide events on the natural landscape and on the road networks, by road type. The maps were used with cost data obtained from multiple sources, including local authorities, and specific legislation, to evaluate statistically the unit cost per metre of damaged road and the unit cost per square metre of damaging landslide, separately for main and secondary roads. The obtained unit costs showed large variations which we attribute to the different road types in the two study areas and to the different abundance of landslides. Our work confirms the long-standing conundrum of obtaining accurate landslide damage data and outlines the need for reliable, standardized methods to evaluate landslide damage and associated restoration costs that regional and local administrations can use rapidly in the aftermath of a landslide event. We conclude recommending that common standardized procedures to collect landslide cost data following each landslide event are established, in Italy and elsewhere. This will allow for more accurate and reliable evaluations of the economic costs of landslide events.

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Section: Methodsmentioning

confidence: 99%

Impact of event landslides on road networks: a statistical analysis of two Italian case studies

et al. 2017

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“…A reliance upon spectral responses can also result in the misclassification of channel bank erosion and fluvial sedimentation, the misidentification of reactivations, and the division of large landslides into multiple fractions. While the increasing availability of VHR imagery directly enhances the accuracy of manual landslide mapping, the results of automated and semiautomated pixel-based methods that have used VHR imagery are susceptible to large spectral variance between pixels, creating intra-class variability, and are more sensitive to coregistration errors (Moine et al, 2009;Martha et al, 2010;Mondini et al, 2011). Object-based image analysis overcomes many of these issues by accounting for additional metrics such as color, texture, shape, and topography , though the selection of useful object metrics is time intensive and varies from case to case.…”

Section: The Best Way To Map Coseismic Landslidesmentioning

confidence: 99%

Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes

Williams

Rosser

Kincey

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides triggered by large earthquakes in mountainous regions contribute significantly to overall earthquake losses and pose a major secondary hazard that can persist for months or years. While scientific investigations of coseismic landsliding are increasingly common, there is no protocol for rapid (hours-to-days) humanitarian-facing landslide assessment and no published recognition of what is possible and what is useful to compile immediately after the event. Drawing on the 2015 M w 7.8 Gorkha earthquake in Nepal, we consider how quickly a landslide assessment based upon manual satellite-based emergency mapping (SEM) can be realistically achieved and review the decisions taken by analysts to ascertain the timeliness and type of useful information that can be generated. We find that, at present, many forms of landslide assessment are too slow to generate relative to the speed of a humanitarian response, despite increasingly rapid access to high-quality imagery. Importantly, the value of information on landslides evolves rapidly as a disaster response develops, so identifying the purpose, timescales, and end users of a post-earthquake landslide assessment is essential to inform the approach taken. It is clear that discussions are needed on the form and timing of landslide assessments, and how best to present and share this information, before rather than after an earthquake strikes. In this paper, we share the lessons learned from the Gorkha earthquake, with the aim of informing the approach taken by scientists to understand the evolving landslide hazard in future events and the expectations of the humanitarian community involved in disaster response.

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“…Airphotos or satellite data and image analysis techniques can be an alternative solution for landslide mapping and monitoring (Fabris, Menin, & Achill, 2011;Mondini et al, 2011;Nichol, Shaker, & Wong, 2006). They present the advantage of covering broader areas within one scene and the drawback of repeatability as the purchase of very high resolution satellite data and the airplane campaigns are quite expensive.…”

Section: Introductionmentioning

confidence: 99%

Preliminary results from active landslide monitoring using multidisciplinary surveys

Nikolakopoulos

Kavoura

Depountis

et al. 2017

European Journal of Remote Sensing

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This study presents the synergy of multidisciplinary surveys for the monitoring of an active landslide in Western Greece. The aim of this paper is to highlight and validate a methodology based on multiple sensors data integration which can successfully be used to manage natural disasters or to improve the knowledge of a specific phenomenon in order to prevent and mitigate the risk. Photogrammetric and interferometric processing has been applied to a complex set of remote sensing data such as high resolution satellite images, digital airphotos, aerial photos acquired from an Unmanned Aerial Vehicle and radar data. Global Navigation Satellite System measurements and continuous inclinometer measurements are being performed. The multifunctional technology of Geographic Information Systems is used in order to collect, storage, manage, process, analyze and cartographically represent the previously described complex geoscientific information. ARTICLE HISTORY

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Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images

Cited by 254 publications

References 51 publications

Impact of event landslides on road networks: a statistical analysis of two Italian case studies

Impact of event landslides on road networks: a statistical analysis of two Italian case studies

Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes

Preliminary results from active landslide monitoring using multidisciplinary surveys

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