Marco Scaioni

Prof. Marco Scaioni

Department of architecture, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 October 2014 in Remote Sensing
Verified
Journal Article
Open access
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Marco ScaioniMarco Scaioni
Marco Scaioni
Laura LongoniLaura Longoni
Laura Longoni
VMValentina Melillo
Valentina Melillo
Monica PapiniMonica Papini
Monica Papini
Landslides represent major natural hazards, which cause every year significant loss of lives and damages to buildings, properties and lifelines. In the last decades, a significant increase in landslide frequency took place, in concomitance to climate change and the expansion of urbanized areas. Remote sensing techniques represent a powerful tool for landslide investigation: applications are traditionally divided into three main classes, although this subdivision has some limitations and borders are sometimes fuzzy. The first class comprehends techniques for landslide recognition, i.e., the mapping of past or active slope failures. The second regards landslide monitoring, which entails both ground deformation measurement and the analysis of any other changes along time (e.g., land use, vegetation cover). The third class groups methods for landslide hazard analysis and forecasting. The aim of this paper is to give an overview on the applications of remote-sensing techniques for the three categories of landslide investigations, focusing on the achievements of the last decade, being that previous studies have already been exhaustively reviewed in the existing literature. At the end of the paper, a new classification of remote-sensing techniques that may be pertinently adopted for investigating specific typologies of soil and rock slope failures is proposed.

29 October 2018 in Sensors
Verified
Journal Article
Open access
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Marco ScaioniMarco Scaioni
Marco Scaioni
maria marsellamaria marsella
maria marsella
MCMichele Crosetto
Michele Crosetto
VTVincenza Tornatore
Vincenza Tornatore
JWJin Wang
Jin Wang
In recent years, the measurement of dam displacements has benefited from a great improvement of existing technology, which has allowed a higher degree of automation. This has led to data collection with an improved temporal and spatial resolution. Robotic total stations and GNSS (Global Navigation Satellite System) techniques, often in an integrated manner, may provide efficient solutions for measuring 3D displacements on precise locations on the outer surfaces of dams. On the other hand, remote-sensing techniques, such as terrestrial laser scanning, ground-based SAR (synthetic aperture radar) and satellite differential interferometric SAR offer the chance to extend the observed region to a large portion of a structure and its surrounding areas, integrating the information that is usually provided in a limited number of in-situ control points. The design and implementation of integrated monitoring systems have been revealed as a strategic solution to analyze different situations in a spatial and temporal context. Research devoted to the optimization of data processing tools has evolved with the aim of improving the accuracy and reliability of the measured deformations. The analysis of the observed data for the interpretation and prediction of dam deformations under external loads has been largely investigated on the basis of purely statistical or deterministic methods. The latter may integrate observation from geodetic, remote-sensing and geotechnical/structural sensors with mechanical models of the dam structure. In this paper, a review of the available technologies for dam deformation monitoring is provided, including those sensors that are already applied in routinary operations and some experimental solutions. The aim was to support people who are working in this field to have a complete view of existing solutions, as well as to understand future directions and trends.

22 December 2010 in The Photogrammetric Record
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Journal Article
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Luigi BarazzettiLuigi Barazzetti
Luigi Barazzetti
Marco ScaioniMarco Scaioni
Marco Scaioni
Fabio RemondinoFabio Remondino
Fabio Remondino

1 January 2018 in European Journal of Remote Sensing
Verified
Journal Article
Open access
Massimiliano PepeMassimiliano Pepe
Massimiliano Pepe
LUIGI FREGONESELUIGI FREGONESE
LUIGI FREGONESE
Marco ScaioniMarco Scaioni
Marco Scaioni
The mission planning in airborne Photogrammetry and Remote Sensing applications, depending on the system of acquisition and by the adopted platform (such as rotary and fixed wing aircrafts, glider, airship, manned or unmanned), is the first and essential step to ensure the success of a survey mission. The purpose of this paper is to provide an overview on mission planning techniques using passive optical sensors. The basic concepts related to the usage of the most common sensor technologies are described, along with the several possible scenarios that may be afforded by using modern airborne sensors. Several examples of flight plans are illustrated and discussed to highlight correct methods, procedures and tools for data acquisition in the case of different types of manned and unmanned airborne missions. In particular, the flight planning with more recent technologies of digital passive optical airborne sensors will be dealt with, including frame cameras and multi-/hyperspectral push-broom sensors. Furthermore, in order to ensure the complete success of an airborne mission, some up-to-date solutions to know in advance the weather conditions (cloud cover, height of the sun, wind, etc.) and the GNSS satellite configuration are illustrated.

15 April 2010 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
MPM. Pontiggia
M. Pontiggia
MDM. Derudi
M. Derudi
MAM. Alba
M. Alba
Marco ScaioniMarco Scaioni
Marco Scaioni
RRR. Rota
R. Rota

10 January 2006 in Pattern Analysis and Applications
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Journal Article
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GFGianfranco Forlani
Gianfranco Forlani
CNCarla Nardinocchi
Carla Nardinocchi
Marco ScaioniMarco Scaioni
Marco Scaioni
PZPrimo Zingaretti
Primo Zingaretti