Big Data, Biotechnológia, Energetika, Terápiás célú fejlesztés, Vízzel kapcsolatos
kutatások és a...(TKP2020-IKA-04) Támogató: ITM
DE-SPACE(TKP2020-NKA-04) Támogató: NKFIH
Szakterületek:
Föld- és kapcsolódó környezettudományok
Természettudományok
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-efective. Our aim was to study the efect 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 classifcation of
the target area by sorting, mixed-use of remote sensing data is required to achieve
a highly cost-efcient mapping: RGB aerial photographs with 0.5 m per pixel resolution
can be used efciently 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-beneft 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 signifcant for all participants
of biological mosquito control.
