scholarly journals True 3D Kinematic Analysis for Slope Instability Assessment in the Siq of Petra (Jordan), from High Resolution TLS

2017 ◽  
pp. 527-535 ◽  
Author(s):  
Claudio Margottini ◽  
Daniele Spizzichino ◽  
Giovanni Gigli ◽  
Heinz Ruther ◽  
Nicola Casagli
Keyword(s):  
High Resolution ◽  
Kinematic Analysis ◽  
Slope Instability

Unmanned Aerial Vehicle (UAV) time-lapse monitoring of the instability processes affecting Varano Hill: A case study of the ancient Roman site of Villa Arianna

2021 ◽  
Author(s):  
Renato Somma ◽  
Alfredo Trocciola ◽  
Daniele Spizzichino ◽  
Alessandro Fedele ◽  
Gabriele Leoni ◽  
...  
Keyword(s):  
High Resolution ◽  
Spatial Data ◽  
Morphological Evolution ◽  
Archaeological Site ◽  
Pilot Project ◽  
Time Lapse ◽  
3D Models ◽  
Slope Instability ◽  
Test Case ◽  
Slope Instabilities

<p>The archaeological site of Villa Arianna - located on Varano Hill, south of Vesuvius - offer tantalizing information regarding first-century AD resilience to hydrogeological risk. Additionally, the site provides an important test case for mitigation efforts of current and future geo-hazard. Villa Arianna, notable in particular for its wall frescoes, is part of a complex of Roman villas built between 89 BC and AD 79 in the ancient coastal resort area of Stabiae. This villa complex is located on a morphological terrace that separates the ruins from the present-day urban center of Castellammare di Stabia. The Varano hill is formed of alternating pyroclastic deposits, from the Vesuvius Complex, and alluvial sediments, from the Sarno River. The area, in AD 79, was completely covered by PDCs from the Plinian eruption of Vesuvius. Due to the geomorphological structure the slope is prone to slope instability phenomena that are mainly represented by earth and debris flows, usually triggered by heavy rainfall. The susceptibility is worsened by changes in hydraulic and land-use conditions mainly caused by lack of maintenance of mitigation works. Villa Arianna is the subject of a joint pilot project of the INGV-ENEA-ISPRA that includes non-invasive monitoring techniques such as the use of UAVs to study the areas of the slope at higher risk of instability. The project, in particular, seeks to implement innovative mitigation solutions that are non-destructive to the cultural heritage. UAVs represent the fastest way to produce high-resolution 3D models of large sites and allow archaeologists to collect accurate spatial data that can be used for 3D GIS analyses. Through this pilot project, we have used detailed 3D models and high-resolution ortho-images for new analyses and documentation of the site and to map the slope instabilities that threatens the Villa Arianna site. Through multi-temporal analyses of different data acquisitions, we intend to define the detailed morphological evolution of the entire Varano slope. These analyses will allow us to highlight priority areas for future low-impact mitigation interventions.</p>

The Nature of the Triangulum-Andromeda Stellar Structures

2018 ◽  
Vol 14 (S344) ◽  
pp. 122-124
Author(s):  
J. V. Sales Silva ◽  
H. Perottoni ◽  
K. Cunha ◽  
H. J. Rocha-Pinto ◽  
D. Souto ◽  
...  
Keyword(s):  
High Resolution ◽  
Kinematic Analysis ◽  
Dwarf Galaxies ◽  
Galactic Disk ◽  
Thin Disk ◽  
Atmospheric Parameters ◽  
Chemical Abundances ◽  
The Galaxy ◽  
Stellar Halo ◽  
Debris Cloud

AbstractThe outer stellar halo is home to a number of substructures that are remnants of former interactions of the Galaxy with its dwarf satellites. Triangulum-Andromeda (TriAnd) is one of these halo substructures, found as a debris cloud by Rocha-Pinto et al., (2004) using 2MASS M giants. Would be these structures related to dwarf galaxies or to the galactic disk? To uncover the nature of these stars we performed a high-resolution spectroscopic study (R = 40,000) along with a kinematic analysis using Gaia data. We determined the atmospheric parameters and chemical abundances of Ca and Mg for the 13 TriAnd candidate stars along with their respective orbits. Our results indicate that the TriAnd stars analyzed have a galactic nature but that these stars are not from the local thin disk.

scholarly journals The limits of seaward spreading and slope instability at the continental margin offshore Mt Etna, imaged by high-resolution 2D seismic data

2016 ◽  
Vol 667 ◽  
pp. 63-76 ◽  
Author(s):  
Felix Gross ◽  
Sebastian Krastel ◽  
Jacob Geersen ◽  
Jan Hinrich Behrmann ◽  
Domenico Ridente ◽  
...  
Keyword(s):  
High Resolution ◽  
Continental Margin ◽  
Seismic Data ◽  
Slope Instability ◽  
Mt Etna

High-Resolution Kinematic Analysis of Root Gravitropic Bending Using RootPlot

2021 ◽  
pp. 95-109
Author(s):  
Aditi Bhat ◽  
Cody L. DePew ◽  
Gabriele B. Monshausen
Keyword(s):  
High Resolution ◽  
Kinematic Analysis

scholarly journals A high-resolution study of η Carinae's outer ejecta

2003 ◽  
Vol 212 ◽  
pp. 759-760
Author(s):  
Kerstin Weis ◽  
Michael F. Corcoran ◽  
Kris Davidson ◽  
Roberta M. Humphreys
Keyword(s):  
High Resolution ◽  
Kinematic Analysis ◽  
Radial Velocities ◽  
X Ray ◽  
Complex Morphology ◽  
Kinematic Studies ◽  
Η Car ◽  
Resolution Study

η Car is a very luminous and unstable evolved star. Outflowing material ejected during the star's giant eruption in 1843 surrounds it as a nebula, which consists of an inner bipolar region, coined the Homunculus, and the Outer Ejecta. The outer ejecta is very filamentary and shaped irregularly. Kinematic analysis, however, shows a regular bi-directional expansion, despite of the complex morphology. Radial velocities in the outer ejecta reach 2000 km s–1 and give rise to X-ray emission, as first detected by ROSAT. We will present a detailed study of the outer ejecta based on HST images, high-resolution echelle spectra for kinematic studies, images from Chandra-acis and HST-stis spectra.

Syndepositional faulting in the Grès d'Annot Formation, SE France: high-resolution kinematic analysis and stratigraphic response to growth faulting

2004 ◽  
Vol 221 (1) ◽  
pp. 241-265 ◽  
Author(s):  
Renaud Bouroullec ◽  
Joe A. Cartwright ◽  
Howard D. Johnson ◽  
Christophe Lansigu ◽  
Jean-Marie Quémener ◽  
...  
Keyword(s):  
High Resolution ◽  
Kinematic Analysis ◽  
Se France

scholarly journals Maximizing Impacts of Remote Sensing Surveys in Slope Stability—A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction

2021 ◽  
Vol 10 (4) ◽  
pp. 232
Author(s):  
Lingfeng He ◽  
John Coggan ◽  
Mirko Francioni ◽  
Matthew Eyre
Keyword(s):  
Machine Learning ◽  
Kinematic Analysis ◽  
Prediction Accuracy ◽  
Confusion Matrix ◽  
Slope Instability ◽  
Support Vector ◽  
Landslide Prediction ◽  
Novel Method ◽  
Input Variables ◽  
Deep Learning Neural Network

This paper proposes a novel method to incorporate unfavorable orientations of discontinuities into machine learning (ML) landslide prediction by using GIS-based kinematic analysis. Discontinuities, detected from photogrammetric and aerial LiDAR surveys, were included in the assessment of potential rock slope instability through GIS-based kinematic analysis. Results from the kinematic analysis, coupled with several commonly used landslide influencing factors, were adopted as input variables in ML models to predict landslides. In this paper, various ML models, such as random forest (RF), support vector machine (SVM), multilayer perceptron (MLP) and deep learning neural network (DLNN) models were evaluated. Results of two validation methods (confusion matrix and ROC curve) show that the involvement of discontinuity-related variables significantly improved the landslide predictive capability of these four models. Their addition demonstrated a minimum of 6% and 4% increase in the overall prediction accuracy and the area under curve (AUC), respectively. In addition, frequency ratio (FR) analysis showed good consistency between landslide probability that was characterized by FR values and discontinuity-related variables, indicating a high correlation. Both results of model validation and FR analysis highlight that inclusion of discontinuities into ML models can improve landslide prediction accuracy.

Assessing geo-hydrological hazards with Remote sensing data in Antananarivo (Madagascar) historical center

2020 ◽  
Author(s):  
Andrea Ciampalini ◽  
William Frodella ◽  
Daniele Spizzichino ◽  
Claudio Margottini ◽  
Nicola Casagli
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Remote Sensing Data ◽  
Slope Instability ◽  
World Heritage Site ◽  
Hazard Mapping ◽  
Heritage Site ◽  
Unesco World Heritage Site ◽  
Hydrological Hazards ◽  
Optical Satellite Images

<p>Landslides represent a major threat in Madagascar, especially in the central and eastern regions during the rainy season (from November thru May), when heavy rains from tropical storms and cyclones saturate the soil making mountains and hillsides more susceptible to slope instability phenomena. The capital Antananarivo has been particularly affected by geo-hydrological risks in the last years, with special regards to the March 2015 event, when cyclones triggered diffuse flooding and landslides causing damages, casualties and over 20000 evacuees. Antananarivo area is characterized by the most important historical and cultural heritages in Madagascar, such as the ancient fortifications and palaces at Ambohimanga (located just 20 km north of the town area), protected as an UNESCO World Heritage site since 2001, and the Rova of Antananarivo royal palace complex. Antananarivo was called Analamanga (the "blue forest"), until 1610, when the merina King Andrianjaka built his palace on the highest hill of the city, and built the first Rova (meaning “fort” in Malagasy) to post a garrison of 1000 man. Antananarivo developed from the site of the first Rova at the top of Analamanga hill at about 1480 m a.s.l., becoming the current historical core (the Upper town or the “Haute Ville”), gradually spreading over the whole Analamanga hill slopes (Middle town or the “Ville Moyen”).</p><p>In October 2017, a geo-hydrological hazard mapping was performed in the Upper Town by combining field surveys, remote sensing and geomatic data analysis. The output of the performed activities consisted in the creation of a detailed geodatabase, which by means of geomatics methods was integrated with field data, topographic data, high resolution digital terrain models (2 and 1 m spatial resolution), very high resolution optical satellite images (Pleiades-1A with 0.5 m resolution) and homogenized in a Geographic Information System (GIS). This geodatabase represents a fundamental tool for susceptibility, hazard and risk assessment/management activities to be performed in the Antananarivo hill area for a proper management of its cultural and historical heritages.</p>

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