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Preserving the Past from Space: An Overview of Risk Estimation and Monitoring Tools

  • Rosa LasaponaraEmail author
  • Nicola Masini
Chapter
Part of the Geotechnologies and the Environment book series (GEOTECH, volume 16)

Abstract

Earth observation (EO) technologies can enable advanced performance and new operational applications specifically addressed to security and risk (see, for example Copernicus program and Sentinel missions), also including the monitoring and preservation of heritage sites. EO techniques can provide operative tools for supporting heritage protection, conservation, and presentation identifying and monitoring factors that can adversely affect the property (see, for example, those listed in the UNESCO web site http://whc.unesco.org/en/factors/). In this context, UNESCO, in partnership with some space agencies of the world (NASA, ESA, DLR, ASI, CNES, Chinese), over the years has strongly promoted the use of space technologies to assess the state of conservation of cultural and natural heritage sites. Nevertheless, even if the potential of EO technologies for assessing and monitoring natural and man-made disasters is well known, still today the application of RS data in operational disaster management and monitoring is a difficult task. To move from scientific to operational applications there are gaps to be filled and needs to be addressed. To improve the risk estimation and management based on remote sensing data, it is particularly important to set up operational approaches and methods for diverse applications and risks, with protocols and quantitative evaluations of accuracy and reliability.

Keywords

Optical satellite remote sensing Archaeology Proxy indicator Prediction models Image enhancement 

Notes

Acknowledgements

The present publication is under the result of the project “Smart Cities and Communities and Social Innovation” Project (Avviso MIUR n.84/Ric 2012,PON 2007–2013 del 2 marzo 2012- Misura IV.1, IV.2, 2013–2015).

Author Contributions: Rosa Lasaponara and Nicola Masini conceived the study. Rosa Lasaponara wrote the paper. Nicola Masini reviewed the manuscript.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.CNR-IMAA, Institute of Methodologies for Environmental AnalysisTito ScaloItaly
  2. 2.CNR-IBAM Institute for Archaeological and Monumental HeritageTito ScaloItaly

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