IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i1p29-d473563.html
   My bibliography  Save this article

Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data

Author

Listed:
  • Levente Papp

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2-6, H-6722 Szeged, Hungary)

  • Boudewijn van Leeuwen

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2-6, H-6722 Szeged, Hungary)

  • Péter Szilassi

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2-6, H-6722 Szeged, Hungary)

  • Zalán Tobak

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2-6, H-6722 Szeged, Hungary)

  • József Szatmári

    (Department of Physical Geography and Geoinformatics, University of Szeged, Egyetem utca 2-6, H-6722 Szeged, Hungary)

  • Mátyás Árvai

    (Department of Soil Mapping and Environmental Informatics, Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, H-1022 Budapest, Hungary)

  • János Mészáros

    (Department of Soil Mapping and Environmental Informatics, Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, H-1022 Budapest, Hungary)

  • László Pásztor

    (Department of Soil Mapping and Environmental Informatics, Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15, H-1022 Budapest, Hungary)

Abstract

The species richness and biodiversity of vegetation in Hungary are increasingly threatened by invasive plant species brought in from other continents and foreign ecosystems. These invasive plant species have spread aggressively in the natural and semi-natural habitats of Europe. Common milkweed ( Asclepias syriaca ) is one of the species that pose the greatest ecological menace. Therefore, the primary purpose of the present study is to map and monitor the spread of common milkweed, the most common invasive plant species in Europe. Furthermore, the possibilities to detect and validate this special invasive plant by analyzing hyperspectral remote sensing data were investigated. In combination with field reference data, high-resolution hyperspectral aerial images acquired by an unmanned aerial vehicle (UAV) platform in 138 spectral bands in areas infected by common milkweed were examined. Then, support vector machine (SVM) and artificial neural network (ANN) classification algorithms were applied to the highly accurate field reference data. As a result, common milkweed individuals were distinguished in hyperspectral images, achieving an overall accuracy of 92.95% in the case of supervised SVM classification. Using the ANN model, an overall accuracy of 99.61% was achieved. To evaluate the proposed approach, two experimental tests were conducted, and in both cases, we managed to distinguish the individual specimens within the large variety of spreading invasive species in a study area of 2 ha, based on centimeter spatial resolution hyperspectral UAV imagery.

Suggested Citation

  • Levente Papp & Boudewijn van Leeuwen & Péter Szilassi & Zalán Tobak & József Szatmári & Mátyás Árvai & János Mészáros & László Pásztor, 2021. "Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data," Land, MDPI, vol. 10(1), pages 1-18, January.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:1:p:29-:d:473563
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/1/29/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/1/29/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Drechsler & Julia Touza & Piran C. L. White & Glyn Jones, 2016. "Agricultural landscape structure and invasive species: the cost-effective level of crop field clustering," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 111-121, February.
    2. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
    3. Regan Early & Bethany A. Bradley & Jeffrey S. Dukes & Joshua J. Lawler & Julian D. Olden & Dana M. Blumenthal & Patrick Gonzalez & Edwin D. Grosholz & Ines Ibañez & Luke P. Miller & Cascade J. B. Sort, 2016. "Global threats from invasive alien species in the twenty-first century and national response capacities," Nature Communications, Nature, vol. 7(1), pages 1-9, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Márton Bence Balogh & Miklós Kertész & Katalin Török & Georgina Veronika Visztra & Péter Szilassi, 2023. "Changes in the Occurrence of Five Invasive Plant Species in Different Ecosystem Types between 2009–2018 in Hungary," Land, MDPI, vol. 12(9), pages 1-21, September.
    2. Sorin Avram & Irina Ontel & Carmen Gheorghe & Steliana Rodino & Sanda Roșca, 2021. "Applying a Complex Integrated Method for Mapping and Assessment of the Degraded Ecosystem Hotspots from Romania," IJERPH, MDPI, vol. 18(21), pages 1-23, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qi Cai & Yushi Cai & Yali Wen, 2018. "Spatially Differentiated Trends between Forest Pest-Induced Losses and Measures for Their Control in China," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    2. Leopold A J Nagelkerke & Eline van Onselen & Nils van Kessel & Rob S E W Leuven, 2018. "Functional feeding traits as predictors of invasive success of alien freshwater fish species using a food-fish model," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    3. Ferré, M.A. & Bennett, J.J.R. & Novoplansky, A. & Meron, E., 2022. "Invasion reversal by front transitions and their implications for ecosystem management," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    4. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.
    5. Blackwood, Julie & Hastings, Alan & Costello, Christopher, 2010. "Cost-effective management of invasive species using linear-quadratic control," Ecological Economics, Elsevier, vol. 69(3), pages 519-527, January.
    6. Don Driscoll & Adam Felton & Philip Gibbons & Annika Felton & Nicola Munro & David Lindenmayer, 2012. "Priorities in policy and management when existing biodiversity stressors interact with climate-change," Climatic Change, Springer, vol. 111(3), pages 533-557, April.
    7. Sinden, John Alfred & Griffith, Garry, 2007. "Combining economic and ecological arguments to value the environmental gains from control of 35 weeds in Australia," Ecological Economics, Elsevier, vol. 61(2-3), pages 396-408, March.
    8. repec:plo:pone00:0120373 is not listed on IDEAS
    9. Thomas W. Bodey & Ross N. Cuthbert & Christophe Diagne & Clara Marino & Anna Turbelin & Elena Angulo & Jean Fantle-Lepczyk & Daniel Pincheira-Donoso & Franck Courchamp & Emma J. Hudgins, 2025. "Predicting the global economic costs of biological invasions by tetrapods," Post-Print hal-04963316, HAL.
    10. Cook, David C., 2008. "Benefit cost analysis of an import access request," Food Policy, Elsevier, vol. 33(3), pages 277-285, June.
    11. Holmberg, Robert J. & Tlusty, Michael F. & Futoma, Elizabeth & Kaufman, Les & Morris, James A. & Rhyne, Andrew L., 2015. "The 800-Pound Grouper in the Room: Asymptotic Body Size and Invasiveness of Marine Aquarium Fishes," Marine Policy, Elsevier, vol. 53(C), pages 7-12.
    12. Rai, Rajesh Kumar & Scarborough, Helen, 2012. "Estimating the public benefits of mitigating damages caused by invasive plant species in a subsistence economy," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124421, Australian Agricultural and Resource Economics Society.
    13. repec:plo:pone00:0165094 is not listed on IDEAS
    14. Charles Perrings, 2016. "Options for managing the infectious animal and plant disease risks of international trade," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 27-35, February.
    15. Alan MacLeod & Glyn D. Jones & Helen M. Anderson & Rick A. Mumford, 2016. "Plant health and food security, linking science, economics, policy and industry," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 17-25, February.
    16. Aldrich, Preston R. & El-Zabet, Jermeen & Hassan, Seerat & Briguglio, Joseph & Aliaj, Enela & Radcliffe, Maria & Mirza, Taha & Comar, Timothy & Nadolski, Jeremy & Huebner, Cynthia D., 2015. "Monte Carlo tests of small-world architecture for coarse-grained networks of the United States railroad and highway transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 32-39.
    17. Elofsson, Katarina & Bengtsson, Goran & Gren, Ing-Marie, 2011. "Optimal Management of Invasive Species with Different Reproduction and Survival Strategies," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114343, European Association of Agricultural Economists.
    18. Tambo, Justice & Matimelo, Mathews & Ndhlovu, Mathias & Mbugua, Fredrick & Phiri, Noah, 2021. "Who Benefits? the Gender-Differentiated Impacts of Plant Clinics in Zambia," 2021 Conference, August 17-31, 2021, Virtual 315871, International Association of Agricultural Economists.
    19. M-Mahdi Naddaf-Sh & Harley Myler & Hassan Zargarzadeh, 2018. "Design and Implementation of an Assistive Real-Time Red Lionfish Detection System for AUV/ROVs," Complexity, Hindawi, vol. 2018, pages 1-10, November.
    20. Atakora, Osei Y. & Attafuah, Michael A. & Sintim, Henry O. & Billah, Maxwell K. & Afreh-Nuamah, Kwame, . "Extract of Pimenta Racemosa as Attractant for Bactrocera Dorsalis in Mango Orchards," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 12(2).
    21. Costello, Christopher & Springborn, Michael & McAusland, Carol & Solow, Andrew, 2007. "Unintended biological invasions: Does risk vary by trading partner?," Journal of Environmental Economics and Management, Elsevier, vol. 54(3), pages 262-276, November.
    22. Antonín Kouba & Francisco J Oficialdegui & Ross N Cuthbert & Melina Kourantidou & Josie South & Elena Tricarico & Rodolphe E Gozlan & Franck Courchamp & Phillip J Haubrock, 2022. "Identifying economic costs and knowledge gaps of invasive aquatic crustaceans," Post-Print hal-03860579, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:1:p:29-:d:473563. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.