Используемая литература
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8. Zaman B., Jensen A. M., McKee M. Use of high-resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle to quantify the spread of an invasive wetlands species// Int. Geosci. Remote Sens. Symp. 2011. 803-806
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11. Gomez-Candon D., De Castro A. I., Lopez-Granados F. Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purpose in wheat// Precis. Agric. 2014. 15. 44-56
12. Zarzar C. M., Dash P., Dyer J. L., Moorhead R., Hathcock L. Development of a simplified radiometric calibration framework for water-based and rapid deployment unmanned aerial system (UAS) operationshttps://www.mdpi.com/2504-446X/4/2/17
13. Del Pozo S., Rodriguez-Gonzalvez P., Hernandez-Lopez D., Felipe-Garcia B. Vicarious radiometric calibration of a multispectral camera on board an unmanned aerial system// Remote Sens. 2014. 1918-1937
14. Mafanya M., Tsele P., Botai J. O., Manyama P., Chirima G. J., Monate T. Radiometric calibration framework for ultra-high-resolution UAV-derived orthomosaics for large-scale mapping of invasive alien plants in semi-arid woodlands: Harrisia pomanensis as case study. https://repository.up.ac.za/bitstream/2263/66300/1/Mafanya_Radiometric_2018.pdf