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Cost–benefit analysis of remote sensing data types for mapping mosquito breeding sites

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Abstract

Environmentally friendly biological mosquito control by Bacillus thuringiensis var. israelensis formulations needs appropriate breeding maps. The mapping accuracy depends on the quality of the used remote sensing data. Further, the mapping is expected to be cost-effective. Our aim was to study the effect of the quality of various remote sensing data on the applicability of the maps. We depicted larval habitats by manual interpretation in Quantum GIS 3.16.1 software using remote sensing data of SENTINEL, Google Earth, commercial geoTIFF RGB orthophoto, individual unoccupied aerial systems (UAS) RGB, and multispectral mosaics. Based on our results, after classification of the target area by sorting, mixed-use of remote sensing data is required to achieve a highly cost-efficient mapping: RGB aerial photographs with 0.5 m per pixel resolution can be used efficiently in areas dominated by grassland habitats, while forest areas need customised footage taken by UAS or drones during the foliage-free period (15 cm per pixel resolution, multispectral technique). Our cost–benefit analysis showed that the aim-optimised method could reduce investment to 6–8% and the cost of data collection to 20–50% of the highest budget. This result is significant for all participants of biological mosquito control.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

S. Szabó was supported by the Project TKP2020-IKA-04 (National Research, Development and Innovation Fund of Hungary, financed under the 2020-4.1.1-TKP2020) funding scheme. L. Bertalan and S. Szabó were funded by the Thematic Excellence Programme (TKP2020-NKA-04) of the Ministry for Innovation and Technology in Hungary.

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Authors and Affiliations

  1. Acrida Conservational Research L.P., Deák F. Str. 7, Tapolca, 8300, Hungary

    Zoltán Kenyeres

  2. Department of Botany, Hungarian Natural History Museum, Könyves K. Krt. 40., Budapest, 1087, Hungary

    Norbert Bauer

  3. Department of Physical Geography and Geoinformatics, University of Debrecen, Egyetem Square 1, Debrecen, 4032, Hungary

    László Bertalan, Gergely Szabó & Szilard Szabó

  4. Individual Entrepreneur, Málics Ottó Str. 9, Pécs, 7635, Hungary

    András Márkus

  5. Pannónia Centre Expert and Counselling Coordinative Ltd., Vak Bottyán Str. 37., Keszthely, 8360, Hungary

    Tamás Sáringer-Kenyeres

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Contributions

All authors were involved in the data collection and database building. ZK, NB and SzSz formulated the main research hypotheses. LB, GSz, NB and ZK performed the analyses and drafted the manuscript. SzSz, TS-K and AM contributed to the manuscript drafting. AM, SzSz and ZK compiled the figures. All authors have read, revised, and approved the final version of the manuscript.

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Correspondence to Zoltán Kenyeres.

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Kenyeres, Z., Bauer, N., Bertalan, L. et al. Cost–benefit analysis of remote sensing data types for mapping mosquito breeding sites. Spat. Inf. Res. 31, 419–428 (2023). https://doi.org/10.1007/s41324-023-00511-7

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