IEEE Geoscience and Remote Sensing Magazine - December 2015 - 38

organizers were also much appreciated. Minor issues were
pointed out with budget accommodation and facilities
(faulty air conditioning).
Most attendees heard of the School either from the
IGARSS 2015 website, or anyway through IGARSS (e.g.
mailing). The co-location with IGARSS surely helped
increasing the number of attendees.
Among the most frequent suggestions in the free-writing part of the questionnaires we found one to enlarge the
hands-on activities section (Figures 10, 11, 12) and increase
their number, and to extend the duration of the School to
three days to accommodate more tutorial-style presentations
and more practical applications. All in all, the school ran
smoothly and greeted satisfied students going back home or
to IGARSS.
ACKNOWLEDGMENT
The author would like to thank, besides the cited sponsors
and speakers, the colleagues and students which helped a
great deal with organizing the school, advertising about it
and having it running smoothly. Many thanks to Roberto

software data sets
(continued from p. 32)

[9] A. Lausch, A. Schmidt, and L. Tischendorf, "Data mining and
linked open data-New perspectives for data analysis in environmental research," Ecol. Model., vol. 295, pp. 5-17, Jan. 2015.
[10] B. Jagla, B. Wiswedel, and J.-Y. Coppée, "Extending KNIME for
next-generation sequencing data analysis.," Bioinform., vol. 27,
no. 20, pp. 2907-2909, 2011.
[11] P. Cortez and A. Morais, "A Data mining approach to predict
forest fires using meteorological data," in Proc. 13th EPIA 2007-
Portuguese Conf. Artificial Intelligence, 2007, pp. 512-523.
[12] M. Roisenberg, C. Schoeninger, and R. Rodrigues, "Expert systems with applications a hybrid fuzzy-probabilistic system for
risk analysis in petroleum exploration prospects," Expert Syst.
Appl., vol. 36, no. 3, pp. 6282-6294, 2009.
[13] G. Shi, Data Mining and Knowledge Discovery for Geoscientists. New
York: Elsevier, 2014.
[14] L. Feltrin, et al., "Undercover predictive prospectivity mapping of undiscovered VMS deposits in sub-phanerozoic rocks of the Flin Flon
Domain, Saskatchewan, Canada," in AMEBC Mineral Exploration
Roundup 2015 (Poster Session), University of Western Ontario, 2015.
[15] M. R. Berthold, B. Wiswedel, and T. R. Gabriel, "Fuzzy logic in
KNIME - Modules for approximate reasoning," Int. J. Comput.
Intell. Syst., vol. 6, pp. 34-45, June. 2013.
[16] S. J. Fraser, G. A. Wilson, and L. H. Cox, "Self-organizing maps
for pseudo-lithological classification of 3D airborne electromagnetic, gravity gradiometry and magnetic inversions," in ASEG
Extended Abstracts, Feb. 2012, pp. 26-29.
[17] K. Mumtaz, M. Studies, and T. Nadu, "An analysis on density
based clustering of multi dimensional spatial data," Indian J.
Comput. Sci. Eng., vol. 1, no. 1, pp. 8-12, 2010.
[18] M. Templ, P. Filzmoser, and C. Reimann, "Cluster analysis
applied to regional geochemical data: Problems and possibilities," Appl. Geochemistry, vol. 23, no. 8, pp. 2198-2213, 2008.
GRS

J. Battista, Daniele De Vecchi, Niccolò Ricardi, Gianni Cristian Iannelli, Gianni Lisini, Andrea Marinoni, Daniel Aurelio Galeazzo, Mostapha Harb. Many thanks also to Prof.
Paolo Gamba for promoting and supporting the School,
to Giancarlo Rivolta at the ESA for proposing and enabling
integration of SENSUM tools into the G-POD system, to all
the IGARSS team for entrusting the Pavia group with the
organization of GR4S 2015.
REFERENCES
[1] The Remote Sensing Group at the University of Pavia. [Online].
Available: http://tlclab.unipv.it/
[2] The European Centre for Training and Research in Earthquake
Engineering. [Online]. Available: http://www.eucentre.it/
[3] Dipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia. [Online]. Available: http://iii.unipv.it/index.php
[4] FP 7 project. Rapid Analysis and Spatialization Of Risk. [Online].
Available: http://www.rasor-project.eu/
[5] Ticinum Aerospace. A spin-off company of the University of Pavia. [Online]. Available: http://www.ticinumaerospace.com/
[6] Istituto Nazionale di Geofisica e Vulcanologia. [Online]. Available: http://www.ingv.it/
[7] F. Dell'Acqua, "An education experience in data fusion and
remote sensing: The pavia international summer school series,"
IEEE Geosci. Remote Sensing Mag., vol. 3, no. 3, pp. 130-147, 2015.
[8] FP7 project. framework to integrate Space-based and in-situ
sENSing for dynamic vUlnerability and recovery Monitoring.
[Online]. Available: http://www.sensum-project.eu/
[9] SENSUM Earth observation tools code @ GitHub repository. [Online].
Available: https://github.com/SENSUM-project/sensum rs qgis
[10] SENSUM Earth observation pugins @ the official QGIS Python
Plugins Repository. [Online]. Available: https://plugins.qgis.org/
plugins/sensum eo tools/

AuThOR iNFORMATiON
Fabio Dell'Acqua is Associate Professor of
Remote Sensing at the University of Pavia,
Italy. He teaches courses in remote sensing
and tutors on average around 5 undergraduate and/or master students for their thesis
activity every year. He has established strong
links with companies in the field of Remote
Sensing applications. His research interests focus on radar data processing and radar/optical data fusion for risk-related applications.
In this area he is/has been participating to several research projects,
both at national and international level (FP6, FP7, INTERREG,
Marie-Curie, Global Earthquake Model). In February 2014 he
co-founded a University spin-off company to commercially exploit
research results in the use of EO data for risk management.
He is Life Member of the Technical and Scientific Board of the
Lombardy Aerospace Industry Cluster; Rector's delegate to this
latter; Earth Observation coordinator of the International Center
for Astronomical and Remote-sensing Observations at the Istituto Universitario di Studi Superiori (IUSS) in Pavia; Principal
for the Global Earthquake Model foundation at the Intergovernmen-tal Organization "Group on Earth Observations GEO. His
publication records currently include over 50 journal papers, over
150 conference papers, and 15 contributions to books.
GRS

ieee Geoscience and remote sensing magazine

december 2015

http://tlclab.unipv.it/ http://www.eucentre.it/ http://iii.unipv.it/index.php http://www.rasor-project.eu/ http://www.ticinumaerospace.com/ http://www.ingv.it/ http://www.sensum-project.eu/ https://www.github.com/SENSUM-project/sensum https://plugins.qgis.org/

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - December 2015