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Remote Sensing and Invasive Plants in Coastal Ecosystems: What We Know So Far and Future Prospects

Author

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  • Priscila Villalobos Perna

    (Envix-Lab, Department of Biosciences and Territory, Molise University, Contrada Fonte Lappone, snc, 86090 Pesche, Italy)

  • Mirko Di Febbraro

    (Envix-Lab, Department of Biosciences and Territory, Molise University, Contrada Fonte Lappone, snc, 86090 Pesche, Italy)

  • Maria Laura Carranza

    (Envix-Lab, Department of Biosciences and Territory, Molise University, Contrada Fonte Lappone, snc, 86090 Pesche, Italy)

  • Flavio Marzialetti

    (Envix-Lab, Department of Biosciences and Territory, Molise University, Contrada Fonte Lappone, snc, 86090 Pesche, Italy)

  • Michele Innangi

    (Envix-Lab, Department of Biosciences and Territory, Molise University, Contrada Fonte Lappone, snc, 86090 Pesche, Italy)

Abstract

Coastal environments are highly threatened by invasive alien plants (IAP), and Remote Sensing (RS) may offer a sound support for IAP detection and mapping. There is still a need for an overview of the progress and extent of RS applications on invaded coasts that can help the development of better RS procedures to support IAP management. We conducted a systematic literature review of 68 research papers implementing, recommending, or discussing RS tools for IAP mapping in coastal environments, published from 2000 to 2021. According to this review, most research was done in China and USA, with Sporobolus (17.3%) being the better studied genus. The number of studies increased at an accelerated rate from 2015 onwards, coinciding with the transition from RS for IAP detection to RS for invasion modeling. The most used platforms in the 2000s were aircraft, with satellites that increased from 2005 and unmanned aerial vehicles after 2014. Frequentist inference was the most adopted classification approach in the 2000s, as machine learning increased after 2009. RS applications vary with coastal ecosystem types and across countries. RS has a huge potential to further improve IAP monitoring. The extension of RS to all coasts of the world requires advanced applications that bring together current and future Earth observation data.

Suggested Citation

  • Priscila Villalobos Perna & Mirko Di Febbraro & Maria Laura Carranza & Flavio Marzialetti & Michele Innangi, 2023. "Remote Sensing and Invasive Plants in Coastal Ecosystems: What We Know So Far and Future Prospects," Land, MDPI, vol. 12(2), pages 1-16, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:341-:d:1048221
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    References listed on IDEAS

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    1. Christophe Diagne & Boris Leroy & Anne-Charlotte Vaissière & Rodolphe E. Gozlan & David Roiz & Ivan Jarić & Jean-Michel Salles & Corey J. A. Bradshaw & Franck Courchamp, 2022. "Author Correction: High and rising economic costs of biological invasions worldwide," Nature, Nature, vol. 608(7924), pages 35-35, August.
    2. Christophe Diagne & Boris Leroy & Anne-Charlotte Vaissière & Rodolphe E. Gozlan & David Roiz & Ivan Jarić & Jean-Michel Salles & Corey J. A. Bradshaw & Franck Courchamp, 2021. "High and rising economic costs of biological invasions worldwide," Nature, Nature, vol. 592(7855), pages 571-576, April.
    3. Wickham, Hadley, 2007. "Reshaping Data with the reshape Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i12).
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