Simone Pittaluga

Simone received his bachelor’s degree in geological sciences with a thesis on the development and application of geostatistical estimation methods on irregular spatial domains. He obtained the master degree in 2008 in geological sciences working on the estimation of mean elemental concentrations from river sediments applied to land use planning. In the same year he obtained the professional qualification and collaborated as professional consultant with the geochemistry laboratory at the University of Genova in the development of geochemical mapping exploiting geostatistical methods. During his professional activity he developed a commercial level software for seismic refraction tomography. Simone started working at CNR-IMATI in 2013 on topics related to the application of numerical methods to environmental themes with particular interest towards geostatistics.


Projects

MATRAC-ACP

IQmulus

GEO3D


Publications

2017, Journal article
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
complex to process, due to the size, variety, and dynamic nature of the data captured by sensing devices.The paper discusses an evaluation framework for comparing methods to approximate observed rain ...

CNR@People | DOI: 10.1016/j.isprsjprs.2016.09.011
2016, Essay or book chapter
Applications to surface approximation and rainfall analysis
G. Patanè, A. Cerri, V. Skytt , S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
First, we investigate the approximation of mainly bathymetric data with LR B-spline surfacesand look into different aspects of the approach (Sec.4.1). Second, we report on a comparisonof different met...

CNR@People | DOI: 10.2200/S00711ED1V01Y201603VCP024
2019, Conference proceedings
Robotics and adaptive sampling techniques for harbor waters monitoring: the MATRAC-ACP project
Massimo Caccia, (1); Roberta Ferretti, (1); Angelo Odetti, (1); Gabriele Bruzzone, (1); Michela Spagnuolo, (2); Michela Mortara, (2); Serena Berretta, (2); Daniela Cabiddu, (2); Simone Pittaluga, (2); Marino Vetuschi Zuccolini, (3); Lorenzo Brignone, (4); ;
The MATRAC-ACP (Adaptive Real-time monitoringwith sampling automation - Harbor and coastal waters) projectaims at defining innovative water monitoring protocols based onthe use of Unmanned Marine Vehi...

CNR@People | DOI: 10.1109/OCEANSE.2019.8867568
2018, Conference proceedings
Adaptive environmental sampling: The interplay between Geostatistics and Geometry
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara, M Spagnuolo, and M. Vetuschi-Zuccolini
In environmental surveys a large sampling effort is required to produce accurate geostatistical maps representing the distributionof environmental variables, and the analysis of each sample is often e...

CNR@People | DOI: 10.2312/stag.20181306
2018, Conference posters
Real-time volumetric modelling based on adaptive sampling of environmental scalar fields derived by uncertainty maps
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara, M Spagnuolo, and M. Vetuschi-Zuccolini
N/A

CNR@People
2016, Conference proceedings
Tracking the evolution of rainfall precipitation fields using persistent maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in timemay give interesting insights on the evolution of storm. Our approach is bas...

CNR@People | DOI: 10.2312/stag.20161361
2015, Conference proceedings
A comparison of methods for the approximation and analysis of rainfall fields in environmental applications
G. Patane’, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process,due to the size, variety, and dynamic nature of the data captured by the ...

CNR@People | DOI: 10.5194/isprsannals-II-3-W5-523-2015
2018, Technical report
Adaptive sampling of environmental variables (ASEV)
S. Berretta, D. Cabiddu, S. Pittaluga, M. Mortara,M. Spagnuolo, and M. Vetuschi Zuccolini
In environmental surveys a large sampling effort is required to produce accurate geostatistical maps, representingthe distribution of environmental variables and the analysis of each sample is often e...

CNR@People | Link
2016, Technical report
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yetcomplex to process, due to the size, variety, and dynamic nature of the data captured by sens...

CNR@People | Link
2016, Technical report
Persistence-based tracking of rainfall field maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changesin time may give interesting insights on the evolution of storms. Our approach is ba...

CNR@People | Link