1,720,987 research outputs found
UAV PHOTOGRAMMETRY FOR RESILIENCE MANAGEMENT IN RECONSTRUCTION PLAN OF URBAN HISTORICAL CENTRES AFTER SEISMIC EVENTS. A CASE STUDY
Full text linkIn the last decades, the UAV photogrammetry has been widely employed to obtain a complete and metric survey in different fields, especially when high resolution, speed of execution and safety are required. It is widely used in the construction sector and an interesting research field is their use to support the historical centres urban renewal projects, especially in post-earthquake reconstruction. In fact, the establishment of a construction site involves several intrinsic criticalities linked to the nature of the context, and especially in a post-earthquake scenario, additional problems arise beyond these critical elements. These conditions affect the preservation of historical centres, planned conservation, risk and resilience management. For this reason, it is necessary to develop innovative methodologies and strategy to plan interventions and to manage the construction sites in the historical centre after an earthquake.The use of UAV photogrammetry is a tool to support this activity in this field because it allows obtaining a complete and a high-resolution geometric survey of the areas to be reconstructed in a fast way and especially in total safety for the operators. For this reason, this study aims to illustrate a methodology that, starting from a series of preliminary surveys, supports the development of the program of reconstruction of a historic urban centre hit by an earthquake event. The aim of this research is to prevent problems, interferences and criticalities in order to increase the safety and rationality of the entire reconstruction process.</p
Geomatic techniques for utilities consumption analysis in urban areas during emergency periods
No full textThis paper has the main purpose of proposing a methodology to understand the occupation of parking spots by using the synergy of different geomatic techniques. Aerial, satellites, and UAV data are studied through the OBIA to analyse, by change detection, the main differences pre-, during and post-lockdown due to Covid-19. The first results are really promising and pave the ground for a fu-ture automation of the proposed procedure. The results can be also integrated in BIM and GIS to help the management of utilities consumption in emergency periods, and they create a dataset to enhance and increase consumption efficiency in residential areas
Surveys with UAV photogrammetry: case studies in l'Aquila during the post-earthquake scenario
No full textPhotogrammetry from UAV in the recovery interventions: from the pre-planning phase to the construction site
No full textThe UAV photogrammetry has a lot of potential in terms of building rehabilitation and post-earthquake reconstruction, of which today there are few references on the international scene. For this reason the authors have elaborated a research aimed to merge the geomatics techniques and the building recovery, arising the develop of a lot of projects. In particular, different scenarios will be presented in the paper, from the pre-design step in the field of sustainable rehabilitation to the optimization of the "construction sites" management
Automatic shoreline detection from eight-band VHR satellite imagery
Full text linkCoastal erosion, which is naturally present in many areas of the world, can be significantly increased by factors such as the reduced transport of sediments as a result of hydraulic works carried out to minimize flooding. Erosion has a significant impact on both marine ecosystems and human activities; for this reason, several international projects have been developed to study monitoring techniques and propose operational methodologies. The increasing number of available high-resolution satellite platforms (i.e., Copernicus Sentinel) and algorithms to treat them allows the study of original approaches for the monitoring of the land in general and for the study of the coastline in particular. The present project aims to define a methodology for identifying the instantaneous shoreline, through images acquired from the WorldView 2 satellite, on eight spectral bands, with a geometric resolution of 0.5mfor the panchromatic image and 1.8mfor the multispectral one. A pixel-based classification methodology is used to identify the various types of land cover and to make combinations between the eight available bands. The experiments were carried out on a coastal area with contrasting morphologies. The eight bands in which the images are taken produce good results both in the classification process and in the combination of the bands, through the algorithms of normalized difference vegetation index (NDVI), normalized difference water index (NDWI), spectral angle mapper (SAM), and matched filtering (MF), with regard to the identification of the various soil coverings and, in particular, the separation line between dry and wet sand. In addition, the real applicability of an algorithm that extracts bathymetry in shallow water using the "coastal blue" band was tested. These data refer to the instantaneous shoreline and could be corrected in the future with morphological and tidal data of the coastal areas under study
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Ground Deformation analysis using GNSS permanent stations: experience on Central Italy after the l'Aquila earthquake
No full textVariations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Geomatic Techniques and CIM (City Information Modeling) to Enhance Smart Cities Management
No full textThe study presents an analysis related to data processing using high and medium-resolution multispectral satellite images. New information will be extracted from specific spectral indices. The primary objective is to obtain new processing to update pre-existing information currently collected from official sources at the regional level. Subsequently, the data obtained will converge into a unified and updated database, thus constituting a comprehensive 3D representation of the urban environment, known as CIM (City Information Modeling). This model would greatly help urban planning and management, creating a detailed parametric structure of the study area thanks to the wide range of information that can be associated. The results can effectively contribute to monitoring and managing urban areas and Smart Cities
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