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Remote Sensing Through Satellites and Sensor Networks

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Women in Telecommunications

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Abstract

This chapter discusses the role of remote sensing (RS) in observing and monitoring our planet, with a specific focus on satellite RS and RS through the use of networked sensors (fixed or mobile). Some history of the development of these systems over the years is first presented. Next, several applications are analyzed, and the advantages and disadvantages of processing of data collected from satellite platforms or sensor networks are highlighted. A combination of heterogeneous data from different sources is also discussed. Finally, present and future trends, employing algorithms of artificial intelligence (AI) and in particular of machine learning (ML) in RS data processing, are discussed.

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Acknowledgements

The authors wish to thank Sheila Baber for assistance in compiling data for SAR constellations. Sheila participated in a joint program of MIT and University of Sannio through the MIT Science and Technology Initiative (MISTI) during her Independent Activity Period (IAP) in January 2021 jointly supervised by Afreen Siddiqi and Silvia L. Ullo.

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Authors and Affiliations

  1. University of Sannio, Benevento, Italy

    Silvia Liberata Ullo

  2. Engineering Systems Laboratory, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, USA

    Afreen Siddiqi

  3. Harvard Kennedy School, Cambridge, MA, USA

    Afreen Siddiqi

Authors
  1. Silvia Liberata Ullo
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  2. Afreen Siddiqi
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Correspondence to Silvia Liberata Ullo .

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Editors and Affiliations

  1. University of Pisa, Pisa, Pisa, Italy

    Maria Sabrina Greco

  2. University of L’Aquila, L’Aquila, Italy

    Dajana Cassioli

  3. University of Sannio, Benevento, Italy

    Silvia Liberata Ullo

  4. Freehold, NJ, USA

    Margaret J. Lyons

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Ullo, S.L., Siddiqi, A. (2023). Remote Sensing Through Satellites and Sensor Networks. In: Greco, M.S., Cassioli, D., Ullo, S.L., Lyons, M.J. (eds) Women in Telecommunications. Women in Engineering and Science. Springer, Cham. https://doi.org/10.1007/978-3-031-21975-7_9

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