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States and private actors are increasingly investing in satellite (SAT) technology. This paper presents an analysis of the reasons underlying the diffusion and strategic value of SAT technology, particularly with regard to the importance of information and data both in international policy and the management of humanitarian crises and issues.

Humanitarian emergencies are characterised by elements of uncertainty that can be mitigated through the use of objective analytical tools that have the potential to predict outcomes. The dynamics examined concern the overlapping functions of space technology (in particular, Synthetic Aperture Radar) and data processing. The intensification of investments in SAT technology is due to the reduction of costs, public–private partnerships in the management of resources and assets to tackle the various crises, and, particularly, the dual-use or civil–military framework. There also remains strong international competition in the field of space research, which drives progress in space exploration and cybenetics.

The paper investigates the potential of SAT technology in humanitarian work, taking into account the risks and opportunities that coexist in every great technological innovation and shape the expectations of the various players in its development and use.

Emilio Guida holds an MA in Political Science from the State University of Milan. He is the author of the book “Intelligence. Costante storica, variabile teorica e prospettive post-bipolari” published by Ledizioni in 2016.

This paper has been published by the Norwegian Centre for Humanitarian Studies (NCHS), a joint initiative of  the Chr. Michelsen Institute (CMI), the Norwegian Institute of Interational Affairs (NUPI) and the Peace Research Institute Oslo (PRIO). The NCHS promotes humanitarian research and brings together scholars, practitioners and policy makers to facilitate discussion on humanitarian related issues.

The author acknowledges the support of the project “Humanitarian Diplomacy: Assessing Policies, Practices and Impact of New Forms of Humanitarian Action and Foreign Policy” funded by the Research Council of Norway and led by Antonio De Lauri, Research Professor at CMI.

References

[1] Antonio De Lauri, ‘Humanitarian Diplomacy: A New Research Agenda’, CMI Brief, 2018.

[2] SAR here refers not to the classic optical technology but to radar measurement and imaging reconstruction technology.

[3] Infometric SAR (InSAR) uses two or more SAR images, and is used for measuring land surface altitude and surface movements, among other things.

[4] In 2018, the Mars Advanced Radar for Subsurface and Ionosphere Sounding discovered liquid water 1.5 km under the surface of Mars. The instrument that revealed the presence of water was a radar that transmitted at a very low frequency (between 1.8 and 5.0 MHz). Lower-frequency radio waves are better able to pass through matter, at the expense of image quality. The technique is the same that was used to observe the underground lakes of Antarctica. An antenna of over 20 m in length was used. Processing the data on the salt-water characteristics completed the work of identifying the subterranean lake system of Mars. See Sebastian Emanuel Lauro et al., ‘Multiple Subglacial Water Bodies Below the South Pole of Mars Unveiled by New MARSIS Data’, Nature Astronomy, Vol. 5, 2021.

[5] Walter L. Perry et al., Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations, Santa Monica CA: Rand Institute, 2013.

[6] Viktor Mayer-Schönberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think. Boston: Houghton Mifflin Harcourt, 2013.

[7] Karl R. Popper, The Poverty of Historicism, London: Routledge, 1961.

[8] Giovanni Mastrobuoni, ‘Crime is Terribly Revealing: Information Technology and Police Productivity’, University of Turin and University of Essex, 2019, http://www.restud.com/wp-content/uploads/2020/03/MS23656manuscript.pdf. In addition to KeyCrime, Precobs and predpol are the most important predictive policing software at present.

[9] Network-centric warfare is an approach that converts the information advantage, in part made possible by information technology, into a competitive military advantage through a solid network of computers and sensors at the disposal of geographically distributed and well-informed forces. Paul T. Mitchell, ‘Network Centric Warfare: Coalition Operations in the Age of US Military Primacy’, The Adelphi Papers, 46, no. 385 (2006): 75–89; Gary Chapman, ‘An Introduction to the Revolution in Military Affairs’, XV Amaldi Conference on Problems in Global Security, Helsinki, 2003.

[10] Richard K. Betts, ‘Surprise Despite Warning: Why Sudden Attacks Succeed’, in Christopher Andrew, Richard J. Aldrich and Wasley K. Wark (eds.), Secret Intelligence, New York: Routledge, 2009, p. 94.

[11] Murray Williamson and Knox MacGregor, The Dynamics of Military Revolution, 1300–2050, Cambridge: Cambridge University Press, 2001.

[12] Alessandro Colombo, Tempi decisivi. Natura e retorica delle crisi internazionali, Feltrinelli, Milano, 2014

[13] Antonio De Lauri, The Politics of Humanitarianism: Power, Ideology and Aid, London: I.B. Tauris, 2016.

[14] Carl Schmitt, Politische Theologie: Vier Kapitel zur Lehre von der Souveränität, Munich and Liepzig: Von Duncker and Humblot, 1922; Giorgio Agamben, Lo stato d’eccezione, Turin: Bollati-Boringhieri, 2003

[15] Antonio De Lauri, ‘A Critique of the Humanitarian (B)order of Things’, Journal of Identity and Migration Studies, 13, no. 2 (2019): 148–66.

[16] Katie Cashman, ‘UNOSAT: Using Satellites to Map the Future of Humanitarian Aid’, Reset Digital for Good, 30 November 2020, https://en.reset.org/blog/unosat-using-satellites-map-future-humanitarian-aid-11302020.

[17] OCHOA, Humanitarianism in the network age, Ochoa policy and studies series, UN Office, 2013, https://www.unocha.org/sites/unocha/files/HINA_0.pdf

[18] Róisín Read, Bertrand Taithe and Roger Mac Ginty, ‘Data Hubris? Humanitarian Information Systems and the Mirage of Technology’, Third World Quarterly, 37, no. 8 (2016):1314–31, https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/documents/files/data_hubris_humanitarian_information_systems_and_the_mirage_of_technology.pdf.

[19] European Parliamentary Research Service, ‘Technological innovation for humanitarian aid and assistance’, Scientific Foresight Unit, Brussels: European Union, 2019, pp. 37–8, https://www.europarl.europa.eu/RegData/etudes/STUD/2019/634411/EPRS_STU(2019)634411_EN.pdf.

[20] Paradoxes of Protection: The Afghan Case, https://www.humanitarianstudies.no/events/paradoxes-of-protection-the-afghan-case/

[21] For SAR technology see Preeti Wadhwani and Prasenjit Saha, ‘Synthetic Aperture Radar Market’, Global Market Insights, December 2020, https://www.gminsights.com/methodology/detail/sybthetic-aperture-in-space-sector-market.

[22] See https://www.capellaspace.com.

[23] United Nations Office For Outer Space Affairs, ‘European Global Navigation Satellite System and Copernicus: Supporting the Sustainable Development Goals’, Vienna: United Nations, 2018, https://www.unoosa.org/res/oosadoc/data/documents/2018/stspace/stspace71_0_html/st_space_71E.pdf.

[24] Leonie Asendorpf, ‘ICARUS: Behavioural Observation of Animals using Mini-Transmitters and Satellites’, Reset Digital for Good, 5 August 2020, https://en.reset.org/blog/icarus-behavioural-observation-animals-using-mini-transmitters-and-satellites-08052020.

[25] The database is financed by the Max Planck Society and the University of Constance. The development was also supported by the National Science Foundation, the German Aerospace Center, the German Science Foundation and NASA.

[26] Robert Gilpin, War and Change in World Politics, Cambridge: Cambridge University Press, 1981.

[27] John J. Mearsheimer, The Tragedy of Great Power Politics, New York: W.W. Norton, 2014.

[28] H.B. Mitchell, Data Fusion: Concept and Ideas, Berlin: Springer, 2014; Federico Castanedo, ‘A Review of Data Fusion Techniques’, The Scientific World Journal, 2013, https://doi.org/10.1155/2013/704504; John J. Guiry, Pepijn van de Ven and John Nelson, ‘Multi-Sensor Fusion for Enhanced Contextual Awareness of Everyday Activities with Ubiquitous Devices’, Sensors, 14, no. 3 (2014): 5687–701.

[29] Committee on Earth Observation Satellites, ‘Satellite Earth Observations in Support of Disaster Risk Reduction’, European Space Agency, 2015, http://www.eohandbook.com/eohb2015/files/CEOS_EOHB_2015_WCDRR.pdf, p. 69.

[30] Remì Froment et al., ‘Use of Earth Observation Satellites to Improve Effectiveness of Humanitarian Operations’, Center for Research on the Epidemiology of Diseases, Université catholique de Louvain, 2020, p. 13.

[31] Space-borne optical remote-sensing image types and quality are strongly dependent on the satellite’s on-board sensor technologies. Optical space-borne sensors can cover single or multiple regions of the optical electromagnetic spectrum, from infrared to the highest light frequencies, with different numbers of ‘channels’, resolutions and accuracies. Sensor systems can operate in the visible spectrum with bands equivalent to the three primary colors – blue (380–440 nm), green (440–600 nm) and red (600–750 nm) – the near infrared range (750–1100 nm), and the short-wave infrared range (1550–2400 nm). For further details, see: J. G. Liu, ‘Remote Sensing: Passive Sensors’, Earth Systems and Environmental Sciences, reference module, 2013, https://www.sciencedirect.com/science/article/pii/B9780124095489029560; European Space Agency, ‘The Information Contained in an Image: Analogue Versus Digital’, eduspace, 6 November 2012, https://www.esa.int/SPECIALS/Eduspace_EN/SEM4HR3Z2OF_0.html; ‘How are Satellite Images Different from Photographs?’, https://www.colby.edu/biology/BI352/Labs/satelliteim_info.pdf.

RGB refers to the red, green and blue spectral bands, each of which carries different information. The sensor can detect multiple wavelength ranges separately or simultaneously; each of them forms an image. A set of such images is called a multispectral image and each images in the set is called a band spectral.

[32] European Space Agency, ‘Copernicus Sentinel Expansion Missions’, https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Copernicus_expansion_missions.

[33] Canadian Space Agency, ‘RADARSAT Constellation Mission’, https://www.asc-csa.gc.ca/eng/satellites/radarsat/default.asp.

[34] Copernicus, ‘Copernicus Emergency Management Service’, https://emergency.copernicus.eu.

[35] United Nations Institute for Training and Research, ‘United Nations Satellite Centre UNOSAT’, https://www.unitar.org/sustainable-development-goals/satellite-analysis-and-applied-research.

[36] D. Grandoni et al., ‘Space-Based Technology For Emergency Management: TheCOSMO-SkyMed Constellation Contribution’, Procedia Technology, 16 (2014): 858–66, https://emergency.copernicus.eu/mapping/sites/default/files/citations/1-s2.0-S2212017314002631-main.pdf.

[37] This is not an undisputed issue and there is the potential for misuse as satellite data might contribute to more restrictive migration policies, hindering migrant vessels to reach a safe harbour.

[38] G. Le Cozannet et al., ‘Space‑Based Earth Observations for Disaster Risk Management’, Surveys in Geophysics 41 (2020):1209–35, https://doi.org/10.1007/s10712-020-09586-5.

[39] Patrizia Sacco et al., ‘Mitigation of Volcanic Risk: the COSMO-SkyMed Contribution’, May 2015, Fringe 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop.

[40] Katie Cashman, ‘OpenSurface: Pioneering AI Tracks Land Use and Deforestation from Outer Space’, Reset Digital for Good, 31 March 2020, https://en.reset.org/blog/opensurface-pioneering-ai-tracks-land-use-and-deforestation-outer-space-03312020.

[41] Varunika Jain et al., ‘Rice (Kharif) Production Estimation Using SAR Data of Different Satellites and Yield Models: A Comparative Analysis of the Estimates Generated Under Fasal Project”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-3/W6 (2019): 99–107, https://doi.org/10.5194/isprs-archives-XLII-3-W6-99-2019.

[42] Human geography concerns the mapping of people, groups, organizations, sentiments and attitudes, norms, belief systems, social activities, and ‘ways of doing business’ over space and time. See Andrew Jones, Human Geography: The basics, London: Routledge, 2012. For evolution in geospatial intelligence, see Robert M. Clark, Geospatial Intelligence: Origins and Evolution, Washington, DC: Georgetown University Press, 2020.

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