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SAR and Multispectral Data Contribution to the Monitoring of Wetland Ecosystems Vulnerable to Climate Change

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Geomatics for Green and Digital Transition (ASITA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1651))

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Abstract

Wetlands ecosystems support a significant percentage of the world’s biodiversity and also provide a number of ecological services, such as carbon sequestration. These fragile ecosystems need to be monitored over time in order to better understand the ecological dynamics and changes within. The study areas are the marshland of the Ostiglia and Busatello marshes. Thus, geographic and climatic aspects have been investigated in order to better explain the dynamics of this ecosystem. The aims of this study were: (i) the evaluation of satellite instruments and methods for monitoring the health state of wetland ecosystems and the impacts of Climate Change; (ii) the investigation of seasonal dynamics of this wetland. The temperature, precipitation and humidity trends have been analyzed from 2016 to 2021. Time series of spectral indices (NDVI, NDMI and NMDI) and backscatter (VV and VH) have been extracted in order to analyze the trends of seasonal variation. To better understand the backscatter variation, the correlation between spectral indices and backscatter have been computed.

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Change history

  • 08 October 2022

    In the originally published chapter “SAR and Multispectral Data Contribution to the Monitoring of Wetland Ecosystems Vulnerable to Climate Change” the first-last name order was erroneously reversed for all authors. This has been corrected.

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Authors and Affiliations

  1. Department of History, Cultures, Civilization (DiSCi)-Geography Section, University of Bologna, Via Guerrazzi 20, 40125, Bologna, Italy

    Marco Dubbini, Michaela De Giglio & Chiara Salvatori

Authors
  1. Marco Dubbini
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  2. Michaela De Giglio
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  3. Chiara Salvatori
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Corresponding author

Correspondence to Marco Dubbini .

Editor information

Editors and Affiliations

  1. University of Torino, Grugliasco, Italy

    Enrico Borgogno-Mondino

  2. University of Pisa, Pisa, Italy

    Paola Zamperlin

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Dubbini, M., De Giglio, M., Salvatori, C. (2022). SAR and Multispectral Data Contribution to the Monitoring of Wetland Ecosystems Vulnerable to Climate Change. In: Borgogno-Mondino, E., Zamperlin, P. (eds) Geomatics for Green and Digital Transition. ASITA 2022. Communications in Computer and Information Science, vol 1651. Springer, Cham. https://doi.org/10.1007/978-3-031-17439-1_30

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  • DOI: https://doi.org/10.1007/978-3-031-17439-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17438-4

  • Online ISBN: 978-3-031-17439-1

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