Triggering quakes in a geothermal space Enhanced systems (EGSs) provide potentially clean and abundant energy source. However, two magnitude-5 earthquakes recently occurred South Korea during EGS site development. Grigoli et al. Kim present seismic geophysical evidence that may implicate the second of these earthquakes, which Pohang, as an induced event. The combination data from local seismometer network, well logs, satellite observations, teleseismic waveform analysis, stress modeling...

Landslides are geomorphological processes that shape the landscapes of all continents, dismantling mountains and contributing sediments to river networks. Caused by geophysical meteorological triggers, including intense or prolonged rainfall, seismic shaking, volcanic activity, rapid snow melting, landslides pose a serious threat people, property, environment in many areas. Given their abundance relevance, investigators have long experimented with techniques tools for landslide detection...

Mapping landslides using automated methods is a challenging task, which still largely done human efforts. Today, the availability of high-resolution EO data products increasing exponentially, and one targets to exploit this source for rapid generation landslide inventory. Conventional like pixel-based object-based machine learning strategies have been studied extensively in last decade. In addition, recent advances CNN (convolutional neural network), type deep-learning method, has widely...

We exploit the amplitude information of a sequence synthetic aperture radar (SAR) images, acquired at different times, in order to generate displacement time-series areas characterized by large and/or rapid deformation, size which is on image's pixel dimensions. follow same rationale Small BAseline Subset (SBAS) differential SAR interferometry (DInSAR) approach, coupling available images into pairs small separation between acquisition orbits. amplitudes selected image calculate relative...

Despite landslides impact the society worldwide every day, landslide information is inhomogeneous and lacking. When occur in remote areas or where availability of optical images rare due to cloud persistence, they might remain unknown, unnoticed for long time, preventing studies hampering civil protection operations. The unprecedented SAR C-band provided by Sentinel-1 constellation offers opportunity propose new solutions detect events. In this work, we perform a systematic assessment...

The recent development of unmanned aerial vehicles (UAVs) has been increasing the number technical solutions that can be used to monitor and map effects natural hazards. UAVs are generally cheaper more versatile than traditional remote-sensing techniques, they therefore considered as a good alternative for acquisition imagery other physical parameters before, during after hazard event. This is an important added value especially investigations over small areas (few km2). In special issue...

Abstract Rapid mapping of event landslides is crucial to identify the areas affected by damages as well for effective disaster response. Traditionally, such maps are generated with visual interpretation remote sensing imagery (manned/unmanned airborne systems or spaceborne sensors) and/or using pixel-based and object-based methods exploiting data-intensive machine learning algorithms. Recent works have explored use convolutional neural networks (CNN), a deep algorithm, from data. These...

Abstract We propose a new real‐time approach to detect, locate, and estimate the volume of rockslides by analyzing waveforms acquired from broadband regional seismic networks. The identification signals generated other sources, such as natural and/or induced earthquakes, is accomplished exploiting ratio between local magnitudes ( M L ) duration D ). found that associated with have / < 0.8, while for earthquakes ≅ 1. In addition, we derived an empirical relationship rockslide volumes,...

We evaluate the capability of three different digital image correlation (DIC) algorithms to measure long-term surface displacement caused by a large slope instability in Swiss Alps. DIC was applied high-resolution optical imagery taken airborne sensors, and accuracy displacements assessed against global navigation satellite system measurements. A dynamic radiometric correction input images prior application shown enhance both success accuracy. Moreover, newly developed spatial filter...

Research Article| December 01, 2009 The effects of flank collapses on volcano plumbing systems Andrea Manconi; Manconi 1GFZ German Centre for Geoscience, Telegrafenberg, 14473 Potsdam, Germany *Current address: IREA-CNR (Istituto per il Rilevamento Elettromagnetico dell' Ambiente–Consiglio Nazionale delle Ricerche), Via Diocieziano 328, 80124 Naples, Italy. Search other works by this author on: GSW Google Scholar Marc-Antoine Longpré; Longpré 2Trinity College Dublin, Green, Dublin 2,...

We investigate the surface displacements in area affected by April 2009 L'Aquila earthquake (Central Italy) through an advanced DInSAR analysis. In particular, we apply SBAS approach to retrieve deformation maps and displacement time series from ENVISAT data acquired between February 2003 October COSMO‐SkyMed relevant six‐month interval following earthquake. Our analysis shows no evidence of pre‐seismic at 35‐day temporal sampling sensor. On other hand, benefiting high spatial resolution...

Abstract. We present an approach to measure 3-D surface deformations caused by large, rapid-moving landslides using the amplitude information of high-resolution, X-band synthetic aperture radar (SAR) images. exploit SAR data captured COSMO-SkyMed satellites deformation produced 3 December 2013 Montescaglioso landslide, southern Italy. The deep-seated landslide exceeded 10 m and disruption a main road, few homes commercial buildings. results open up possibility obtaining maps shortly after...

Abstract This paper presents a detailed analysis of dramatic rock slope acceleration that occurred in fall 2016 at the Moosfluh Landslide, located glacier tongue Great Aletsch Glacier (Switzerland). The was unanticipated and exposed valley bottom an adjacent damned lake to high risk. active deep‐seated gravitational deformation (DSGSD) controlled primarily by deep block‐flexural toppling. In 2013, highly accurate displacement monitoring system developed installed surroundings Glacier,...

<p>Landslide hazard has always been a significant source of economic losses and fatalities in the mountainous regions. Knowledge spatial extent past present landslide activity, compiled form inventory map, is essential for effective risk management. High-resolution data acquired by Earth observation (EO) satellites are often used to map landslides identifying morphological expressions that can be associated with and/or recent deformation. This slow difficult process as it...

Abstract Past exploration missions have revealed that the lunar topography is eroded through mass wasting processes such as rockfalls and other types of landslides, similar to Earth. We analyzed an archive more than 2 million high-resolution images using AI big data-driven approach created first global map 136.610 rockfall events. Using this map, we show primarily driven by impacts impact-induced fracture networks. further identify a large number currently unknown clusters, potentially...

The migration and accumulation of magma beneath volcanoes often causes surface displacements that can be measured by geodetic techniques. Usually, deformation signals are explained using models with uniform mechanical properties. In this paper, we study due to chamber inflation, heterogeneous finite element models. We first present a systematic analysis the influence layering, showing stiffness contrast significantly affects entity pattern vertical radial displacements. Second, as an example...

We present a new method to achieve failure forecast of landslide phenomena by considering near-real-time monitoring data. Starting from the inverse velocity theory, we jointly analyse surface displacements on different time windows, and apply straightforward statistical methods obtain confidence intervals forecasted failure. Our results can be relevant support management early warning systems during emergency conditions, also when predefined displacement and/or thresholds are exceeded. In...

We leverage on optical and radar remote sensing data acquired from the European Space Agency (ESA) Sentinels to monitor surface deformation evolution a large very active instability located in Swiss Alps, i.e., Moosfluh rock slope. In late summer 2016, sudden acceleration was reported at this location, with velocity rates passing maximum values of 0.2 cm/day 80 cm/day. A dense pattern uphill-facing scarps tension cracks formed within fall activity started become pronounced. This mass may...

Abstract. In recent years, the use of unmanned aerial vehicles (UAVs) in civilian/commercial contexts are becoming increasingly common, as well for applications concerning anthropic and natural disasters. this paper, we present first results a research project aimed at defining possible methodology micro-UAVs emergency scenarios relevant to rockfall phenomena. To develop support method presented herein, occurred on 7 March 2014 San Germano municipality (north-western Italy) discussed.

Abstract. We apply failure forecast models by exploiting near-real-time monitoring data for the La Saxe rockslide, a large unstable slope threatening Aosta Valley in northern Italy. Starting from inverse velocity theory, we analyze landslide surface displacements automatically and near real time on different temporal windows straightforward statistical methods to obtain confidence intervals estimated of failure. Here, present result obtained located Valley, Based this case study, identify...