**Author details**

Riccardo Beltramo\*, Paolo Cantore, Enrica Vesce, Sergio Margarita and Paola De Bernardi University of Turin, Turin, Italy

\*Address all correspondence to: riccardo.beltramo@unito.it

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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*The Internet of Things for Natural Risk Management (Inte.Ri.M.)*

on Automatic Detection of Seismic Landslides Information. IEEE

China: IEEE; 10-15 July 2016

[11] Supekar PR, Takayama S. Characteristics evaluation of sensing network in wireless landslide surveillance system. In: Proceedings of the SICE Annual Conference; Tsukuba, Japan. 2016

[12] Khoa VV, Kazuya O, Shigeru T. Collaboration of host system and local sensing node network system. In: Proceedings of the SICE Annual

[13] Vera JE, Mora SF, Cervantes RA. IEEE Biennial Congress of

[14] Hans-Peter M, Schweizer J, Birkeland K. Some recent advances in snow and avalanche science. Cold Regions Science and Technology.

[15] Bellairea S, Herwijnena AV, Mittererc C, Schweizera J. On forecasting wet-snow avalanche activity using simulated snow cover. Cold Regions Science and

[16] Thüring T, Schoch M, Herwijnen AV, Schweizer J. Robust snow avalanche detection using supervised machine learning. Cold Regions Science and

[17] van Herwijnen JSA. Monitoring avalanche activity using a seismic

Technology;**2017**:2838

Technology. 2015:60-66

Argentina (ARGENCON). Design and testing of a network of sensors on land surfaces to prevent landslides. Buenos

Conference; Tsukuba. 2016

Aires Argentina; 2016

2011:119-121

Networks. IEEE; 2011

International Geoscience and Remote Sensing Symposium (IGARSS). Beijing,

[10] Mishra PK, S. K. Shukla Dutta S, S. K. Chaulya Prasad GM. Detection of Landslide Using Wireless Sensor

*DOI: http://dx.doi.org/10.5772/intechopen.81707*

[1] Piemonte Region, Piemonte Informa [Online]. 2017. Available from: http:// www.regione.piemonte.it/pinforma/ ambiente/1695-oltre-60-milioniper-la-difesa-del-suolo-e-contro-ildissesto-idrogeologico.html. [Accessed:

[2] Arpa, Piemonte Region, Rischi Naturali [Online]. 2018. Available from: http://relazione.ambiente.piemonte. it/2018/it/territorio/fattori/rischinaturali. [Accessed: 20-7-2018]

[3] Millenium Ecosystem Assessment. Ecosystem and Human Well-Being. Washington, DC: Island Press; 2005

[4] Nibanupudi HK, Shaw R. Mountain Hazards and Disaster Risk Reduction.

[5] Schirpke U, Scolozzi R, De Marco C. Modello dimostrativo di valutazione qualitativa e quantitativa dei servizi ecosistemici nei siti pilota. Parte1: Metodi di valutazione, Bolzano. 2014;**1**:3-5

Japan: Springer; 2014

[6] Zimmermann M, Keiler M. International frameworks for disaster risk reduction: Useful guidance for sustainable mountain development? Mountain Research and Development.

[7] Gaire R, Sriharsha C, Puthal D, Wijaya H, Kim J, Keshari P, et al. Internet of things (IoT) and cloud computing enabled disaster management. In: Integration of Cyber-Physical Systems, Cloud, and Internet of Things. New York, United States: Cornell University

[8] IEEE. Towards a Definition of the Internet of Things (IoT) [Online]. 2015. Available from: https://iot.ieee.org/

[9] Yan Q, Li H, Jing L, Ge W, Ding H, Tang Y, Kongwen Z. Research

2015;**35**(2):195-202

Library; 2018

definition.html

20-7-2018]

**References**

*The Internet of Things for Natural Risk Management (Inte.Ri.M.) DOI: http://dx.doi.org/10.5772/intechopen.81707*
