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Dive into the research topics where Luca Nannipieri is active.

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Featured researches published by Luca Nannipieri.


Computers & Geosciences | 2012

Short note: Release of a 10-m-resolution DEM for the Italian territory: Comparison with global-coverage DEMs and anaglyph-mode exploration via the web

Simone Tarquini; Stefano Vinci; Massimiliano Favalli; Fawzi Doumaz; Alessandro Fornaciai; Luca Nannipieri

The 10-m-resolution TINITALY/01 DEM (Tarquini et al., 2007) is compared with the two, coarser-resolution, global-coverage, spaceborne-based SRTM and ASTER DEMs and with a high-resolution, LIDAR-derived DEM. Afterwards, we presented a webGIS which allows to explore a 10-m-resolution anaglyph layer showing the landforms of the whole Italian territory in 3D. The webGIS (http://tinitaly.pi.ingv.it/) is open to the public, and can be used to carry out a preliminary analysis of landforms. The TINITALY/01 DEM is available for scientific purposes on the basis of a research agreement (see the above website or write to [email protected]).


Computers & Geosciences | 2012

Multiview 3D reconstruction in geosciences

Massimiliano Favalli; Alessandro Fornaciai; Ilaria Isola; Simone Tarquini; Luca Nannipieri

Multiview three-dimensional (3D) reconstruction is a technology that allows the creation of 3D models of a given scenario from a series of overlapping pictures taken using consumer-grade digital cameras. This type of 3D reconstruction is facilitated by freely available software, which does not require expert-level skills. This technology provides a 3D working environment, which integrates sample/field data visualization and measurement tools. In this study, we test the potential of this method for 3D reconstruction of decimeter-scale objects of geological interest. We generated 3D models of three different outcrops exposed in a marble quarry and two solids: a volcanic bomb and a stalagmite. Comparison of the models obtained in this study using the presented method with those obtained using a precise laser scanner shows that multiview 3D reconstruction yields models that present a root mean square error/average linear dimensions between 0.11 and 0.68%. Thus this technology turns out to be an extremely promising tool, which can be fruitfully applied in geosciences.


IEEE Transactions on Geoscience and Remote Sensing | 2016

Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features

Stephan Kolzenburg; Massimiliano Favalli; Alessandro Fornaciai; Ilaria Isola; Andrew J. L. Harris; Luca Nannipieri; Daniele Giordano

We present a workflow to create, scale, georeference, and integrate digital elevation models (DEMs) created using open-source structure-from-motion (SfM) multiview stereo (MVS) software into existing DEMs (as derived from the light detection and ranging data in the presented cases). The workflow also maps the root-mean-square error between the base DEM and the SfM surface model. This allows DEM creation from field-based surveys using consumer-grade digital cameras with open-source and custom-built software. We employ this workflow on three examples of different scales and morphology: 1) a scoria cone on Mt. Etna; 2) a lava channel on Mauna Ulu (Ki̅lauea); and 3) a flank collapse scar on Mt. Etna. This represents a new approach for rapid low-cost construction and updating of existing DEMs at high temporal and spatial resolutions and for areas of up to several thousand square meters. We assess the self-consistency of the method by comparison of DEMs of the same features, created from independent data sets acquired on the same day and from the same vantage points. We further evaluate the effect of grid cell size on the reconstruction error. This method uses existing DEMs as a georeferencing tool and can therefore be used in limited access and potentially hazardous areas as it no longer relies exclusively on control targets on the ground.


Geomorphology | 2017

The 10 m-resolution TINITALY DEM as a trans-disciplinary basis for the analysis of the Italian territory: current trends and new perspectives

Simone Tarquini; Luca Nannipieri


Bulletin of Volcanology | 2018

UAV-based remote sensing surveys of lava flow fields: a case study from Etna???s 1974 channel-fed lava flows

Massimiliano Favalli; Alessandro Fornaciai; Luca Nannipieri; Andrew J. L. Harris; Sonia Calvari; Charline Lormand


Archive | 2016

Manuale delle operazioni con SAPR e Analisi del Rischio

Luca Nannipieri; Alessandro Fornaciai; Massimiliano Favalli; Vittorio Cipolla


Archive | 2018

A Flexible Wireless Sensor Network based on Ultra-Wide Band Technology for Ground Instability Monitoring

Lorenzo Mucchi; Sara Jayousi; Alessio Martinelli; Stefano Caputo; Emanuele Intrieri; Giovanni Gigli; Teresa Gracchi; Francesco Mugnai; Massimiliano Favalli; Alessandro Fornaciai; Luca Nannipieri


Engineering Geology | 2018

Application of an ultra-wide band sensor-free wireless network for ground monitoring

Emanuele Intrieri; Giovanni Gigli; Teresa Gracchi; Massimiliano Nocentini; Luca Lombardi; Francesco Mugnai; William Frodella; Giovanni Bertolini; Ennio Antonio Carnevale; Massimiliano Favalli; Alessandro Fornaciai; Jordi Marturià Alavedra; Lorenzo Mucchi; Luca Nannipieri; Xavier Rodriguez-Lloveras; Marco Pizziolo; Rosa Schina; Federico Trippi; Nicola Casagli


Annals of Geophysics | 2017

Seismic lines Offshore Mount Etna (SOME): open database

Francesco Mazzarini; Ilaria Isola; Marina Bisson; Luca Nannipieri; Massimiliano Favalli; Alessandro Fornaciai; Simone Tarquini


GEOPHYSICAL RESEARCH ABSTRACTS | 2016

Wi-GIM system: a new wireless sensor network (WSN) for accurate ground instability monitoring

Lorenzo Mucchi; Federico Trippi; Rosa Schina; Alessandro Fornaciai; Giovanni Gigli; Luca Nannipieri; Massimiliano Favalli; J. M. Alavedra; Emanuele Intrieri; Andrea Agostini; Ennio Antonio Carnevale; Giovanni Bertolini; Marco Pizziolo; Nicola Casagli

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Massimiliano Favalli

National Institute of Geophysics and Volcanology

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