Design and implementation of a landslide early warning system

Intrieri, Emanuele; Gigli, Giovanni; Mugnai, Francesco; Fanti, Riccardo; Casagli, Nicola

doi:10.1016/j.enggeo.2012.07.017

Cited by 302 publications

(154 citation statements)

References 8 publications

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“…On the topic of thresholds, other more robust procedures may be proposed for their definition. However, considering a scenario of risk emergency, it is recommended that this process remains as quick and simple as possible in order to reduce the possibility of human errors (Lacasse et al 2008;Intrieri et al 2012Intrieri et al , 2013.…”

Section: Discussionmentioning

confidence: 99%

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

2016

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On December 3, 2013, a large complex landslide was triggered SW of the town of Montescaglioso (Southern Italy), causing the destruction of roads, commercial buildings and private dwellings, as well as several direct and indirect economic losses. A set of interferometric ground measurements acquired by the Cosmo-SkyMed satellite constellation and processed by means of the SqueeSAR algorithm was used to study the pre-event slope displacements in the entire Montescaglioso municipal area. Data span from January 30, 2012, to December 2, 2013, and show average line-of-sight velocities of 1-10 mm/year in the slope sector ultimately affected by the collapse. In retrospect, a time series analysis of the radar targets was performed in order to identify and characterize all the slope instabilities in proximity of the town. This was based on the setup of characteristic thresholds of displacement. The procedure permitted to locate several areas which recurrently exceeded these previously established thresholds, in consistency with the amount of precipitation. In particular, the major source of potential hazard in the area was indeed found where the December 3, 2013, landslide eventually occurred. The results of this quick data processing technique were validated through comparison with two independently developed landslide maps. This simple method, which is not supposed to diminish the importance of geomorphologic field surveys, could improve both the accuracy and the update rate of landslide susceptibility maps.Not relying on arbitrary or empirically derived approaches, it has the advantage of computing statistically based thresholds specific for each time series. By indicating the slope sectors in higher need of deeper in situ investigation, more support could be provided to administrative bodies for the processes of risk assessment and management.

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Section: Discussionmentioning

confidence: 99%

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

2016

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“…Furthermore, the instrument flexibility enables the investigation of shadow areas of hillsides not illuminated by the beam of the satellite radar sensor, and it allows to choose, during the installation phase, the best line of sight (LOS). These characteristics make this technique particularly useful for emergency phases [35]. Because of the above-mentioned characteristics and differences, the integration of these techniques enables us to obtain useful information on ground displacement patterns, with high precision and improved spatio-temporal resolution and coverage, compared to the stand-alone use of each technique.…”

Section: Data Integrationmentioning

confidence: 99%

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

et al. 2016

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This work concerns a proposal of the integration of InSAR (Interferometric Synthetic Aperture Radar) data acquired by ground-based (GB) and satellite platforms. The selected test site is the Åknes rockslide, which affects the western Norwegian coast. The availability of GB-InSAR and satellite InSAR data and the accessibility of a wide literature make the landslide suitable for testing the proposed procedure. The first step consists of the organization of a geodatabase, performed in the GIS environment, containing all of the available data. The second step concerns the analysis of satellite and GB-InSAR data, separately. Two datasets, acquired by RADARSAT-2 (related to a period between October 2008 and August 2013) and by a combination of TerraSAR-X and TanDEM-X (acquired between July 2010 and October 2012), both of them in ascending orbit, processed applying SBAS (Small BAseline Subset) method, are available. GB-InSAR data related to five different campaigns of measurements, referred to the summer seasons of 2006, 2008, 2009, 2010 and 2012, are available, as well. The third step relies on data integration, performed firstly from a qualitative point of view and later from a semi-quantitative point of view. The results of the proposed procedure have been validated by comparing them to GPS (Global Positioning System) data. The proposed procedure allowed us to better define landslide sectors in terms of different ranges of displacements. From a qualitative point of view, stable and unstable areas have been distinguished. In the sector concerning movement, two different sectors have been defined thanks to the results of the semi-quantitative integration step: the first sector, concerning displacement values higher than 10 mm, and the 2nd sector, where the displacements did not exceed a 10-mm value of displacement in the analyzed period.

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“…This article proceeds with the next analysis based on the fuzzy sets idea proposed by the cybernetics professor L. A. Zadeh (1969) [57] and the combined membership functions. At present, there has been no unifi ed membership function according to the characteristics of data sampling, and the study cites the me mbership function in Wang's membership function research as K = n i /N (5) ...where n i is the frequency of v 0 A, A is th e fuzzy set, and N is the total test [58].…”

Section: Membership Functionsmentioning

confidence: 99%

“…At present, although eco-security early warning research is still in the exploration stage, overseas and domestic scholars have achieved results in this area. Overseas scholars have performed many studies in climate and ecosystem shock prediction [2], natural disaster advanced warning [3][4][5][6][7][8], environmental health assessment [9], eco-environmental evolution [10], ecosystem function [11], and ecosystem stability [12], etc. Domestic scholars have performed many studies in ecological security mechanisms, theoretical study, early-warning models [13], etc., involving cities, landscape ecology, heritage sites, agriculture, soil, hydrology, and many other aspects [13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Plateau Mountain Eco-Security Early Warning Research

Ma¹,

Zhang²,

Yang³

et al. 2016

Pol. J. Environ. Stud.

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At present, overseas and domestic eco-security early warning research is in the exploratory stage. This paper uses Kizilsu Kirghiz Autonomous Prefecture as the research object and constructs an evaluation index system based on the pressure-state-response (P-S-R) conceptual model. This study analyzes eco-security early warning in the study area using the granger causality test model, the entropy weight method, and the matter-element model, and analyzes the present eco-security situation and future development trends in the study area. The author hopes that this study can further enrich eco-security early warning research and provide a scientifi c reference for ecological security in the study area. The specifi c research results were as follows: 1) This article evaluated the plateau mountain ecological security early warning system, and the application of the Granger causality test was further implemented with targeted and objective index system selection, achieving a one-to-one analysis in the results and further enriching the research theory of the importance of eco-security early warning systems. 2) On the whole, the eco-security situation in the study area is gradually moving in a positive direction, but the low level of overall eco-security continues to cause great pressure. 3) From 2005 to 2014, the study area gradually attached greater importance to the construction of ecosecurity, but the overall eco-security level is low, and the overall eco-security regulation capacity is insuffi cient. 4) The key eco-security pressure in the study area mainly derives from industrial and agricultural development, although the control power is gradually increasing, but the control effect is not obvious, and the contradiction between ecological security and socio-economic development is still very obvious. 5) The study area is a typical earthquake-prone area, and fi nancial input into the governance of natural geological disasters due to the high frequency of earthquakes is gradually increasing; but the study area still needs to increase its investments.

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Design and implementation of a landslide early warning system

Cited by 302 publications

References 8 publications

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

A simple method to help determine landslide susceptibility from spaceborne InSAR data: the Montescaglioso case study

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

Plateau Mountain Eco-Security Early Warning Research

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