We present the results of devising new techniques and technical means for utilizing small-sized unmanned aerial vehicles (UAVs) in ecological monitoring of marine water basins in compliance with the MARPOL 73/78 international convention. The development of a hardware-software complex is described for the system of recognizing oil spills using elements of artificial intelligence. The laboratory experiments on identifying oil spills by laser induced fluorescence (LIF) methods are presented, as well as the methods of recording the spectrum of upward solar radiation.
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The authors declare that they have no conflicts of interest.
Translated by O. Bazhenov
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Bukin, O.A., Proschenko, D.Y., Chekhlenok, A.A. et al. Methods for Optical Monitoring of Oil Pollution of Sea Water Basins Using Unmanned Aerial Vehicles. Atmos Ocean Opt 32, 459–463 (2019). https://doi.org/10.1134/S102485601904002X
- ecological monitoring
- artificial intelligence
- machine learning
- laser-induced fluorescence