102,093 research outputs found
Pierre Fabre, Saint Paulin de Nole et l'amitié chrétienne
No full textPréaux Jean G. Pierre Fabre, Saint Paulin de Nole et l'amitié chrétienne. In: L'antiquité classique, Tome 19, fasc. 2, 1950. pp. 474-475
Pierre Fabre, Essai sur la Chronologie de l'oeuvre de saint Paulin de Nole
No full textPréaux Jean G. Pierre Fabre, Essai sur la Chronologie de l'oeuvre de saint Paulin de Nole. In: L'antiquité classique, Tome 18, fasc. 2, 1949. pp. 457-458
Vibrations of a cantilever tapered beam with varying section properties and carrying a mass at the free end.
No full textIl Comportamento delle Eliche in Vento Laterale: Confronto tra Risultati Sperimentali e Teorici
No full textVGI and crisis mapping in an emergency situation. Comparison of four case studies: Haiti, Kibera, Kathmandu, Centre Italy
No full textOver the last decade new voluntary mapping patterns are commonly known as VGI - Volunteered Geographic Information - that is, geo-localized information created voluntarily and consciously by web users. These are supported by platforms such as OpenStreetMap that have been shown in many emergency cases and not, a valid source of data, such detailed to be used tor rescue operations. Another completely open source platform that has revolutionized the world of geographic information and how to make reports Is Ushaidi that through interactive maps represents testimonies, reports, diaries, and citizen reports
Evaluation of urban sprawl from space using open source technologies
No full textUp to nowadays, satellite data have become increasingly available, thus offering a low cost or even free of charge unique tool, with a great potential for quantitative assessment of urban expansion and urban sprawl, as well as for monitoring of land use changes and soil consumption. This growing observational capacity has also highlighted the need for research efforts aimed at exploring the potential offered by data processing methods and algorithms, in order to exploit as much as possible this invaluable space-based data source.
The work herein presented concerns an application study on the process of urban sprawl conducted with the use of satellite ASTER data. The selected test site is highly significant, being it a coastal zone (with the presence of sand and rocks) characterized by a fragmented ecosystem and small towns, with an increasing rate of urbanization and soil consumption. In order to produce synthetic maps of urban areas, ASTER images were classified using two automatic classifiers, Maximum Likelihood (MLC) and Support Vector Machines (SVMs) applied by changing setting parameters, with the aim to compare their respective performances in terms of robustness, speed and accuracy. All process steps have been developed integrating Geographical Information System and Remote Sensing, and adopting free and open source software.
Results pointed out that the SVM classifier with RBF kernel was generally the best choice (with accuracy higher than 90%) among all the configurations compared, and the use of multiple bands globally improves classification. One of the critical elements found in this case study is given by the presence of sand and sand mixed with rocks. The use of different configurations for the SVMs, i.e. different kernels and values of the setting parameters, allowed us to calibrate the classifier also to cope with a specific need, as in our case, to achieve a reliable discrimination of sand from urban area
Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016
No full textThe increasing accessibility of Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LiDAR) data, grants the opportunity to experiment new methods to support disaster risk management. However, while SAR analyses are becoming extremely popular, thanks, in particular, to the availability of open source satellite images such as those from the Copernicus project, LiDAR analyses are still less common because of the scarce availability of this type of data over significant time frequencies. In this paper we propose an innovative procedure based on the use of SAR and LiDAR data to rapidly assess seismic damage in the early post-emergency phases. The methodology was applied to the case study of the town of Amatrice (Central Italy), which was hit by a strong earthquake swarm that started in August 2016. Specifically, SAR data is used for a large-scale analysis of terrain displacements following the seismic event, while LiDAR reliefs are used to carry out a change detection and to identify the level of damage at a building-scale in the urban settlement of Amatrice. Results will show how the proposed approach can be extremely effective both in the non-emergency phases to monitor seismic-affected areas and support emergency planning, as well as during the immediate post-earthquake phases to assess the damage it has caused and to support first aid dispositions
INDAGINI SUL SACRARIO DEI CADUTI DELLA PRIMA GUERRA MONDIALE DI STAGLIENO
No full textLe tessere di mosaico sono state analizzate mediante fluorescenza dei raggi X
La progettazione di un modello di dati geografici per la gestione di una rete stradale in caso di emergenze
No full textIn questo contributo viene descritta la costruzione di un modello di dati geografici tale da consentire, all’interno di uno stesso SIT, un campionario esaustivo di tipologie di analisi
effettuabili nel settore dei trasporti, permettendo un’integrazione delle banche dati geografiche. La procedura è stata sperimentata mediante una applicazione alla rete della
regione Basilicata
Puquios: New insights from the integration of remote sensing, GIS-based analyses and geophysical investigations
No full textThe investigations conducted previously on the Nasca puquios, with particular reference to those systematically performed by Schreiber and Lancho Rojas (1995), Schreiber and Lancho Rojas (Los puquios de Nasca: un sistema de galerías filtrantes. Editorial Los Pinos, Lima, 1998), Schreiber and Lancho Rojas (Aguas en el Desierto. Los puquios de Nasca. Fondo Editorial, Lima, Perú, 2006), have had the merit of placing the theme of Nasca water management in the center of debate on the ancient Nasca world. Water has become the crossroads of all the other research lines focused on the influence of environment and climate on the Nasca culture, as well as on the geoglyphs, ceremonial architecture, and settlements. In this cultural framework, some studies based on multitemporal, multiscale, and multisensor analyses have been performed in the Río Grande de Nasca drainage in order to investigate the interaction between the puquios and environmental conditions, as well as to improve knowledge of the local environmental settings. Herein we present and discuss the investigations, based on the integration of remote sensing, GIS-based analyses, and geophysical prospecting, in the framework of the ITACA mission of the Italian CNR. Outputs from satellite-based investigations, along with all the information already available from previous studies, were the input data used in the statistical spatial analyses and geophysical prospecting. The main findings provided information useful to: (i) improve the current knowledge on the puquios at both intra-site and inter-site levels and their relationship with environmental and human settings, (ii) identify unknown puquios, (iii) and support planning for subsequent archaeological excavations. As a whole, the investigations based on the adopted integrated approach provided new insights into this hyper-arid area which has been the homeland for numerous civilizations, despite the extreme physical environment that presents serious obstacles to human occupation
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