Satellite monitoring problems in the aerospace complex

Authors

  • Sofiia Alpert Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Oles Honchar st, 55-B, 01054, Kyiv, Ukraine https://orcid.org/0000-0002-7284-6502

DOI:

https://doi.org/10.36023/ujrs.2020.27.184

Keywords:

unmanned aerial vehicle, remote sensing, ecological monitoring, agricultural tasks

Abstract

Задачі підсуNowadays with the rapid development of information technologies, UAV-based Remote Sensing (drone remote sensing) gives a new opportunities for conducting scientific research in a much more detail way. UAVs (unmanned aerial vehicles) give the opportunity to acquire data at sufficiently low cost. They also provide remote data more rapidly than piloted aerial vehicles. Nowadays drones are often used, because application of piloted aerial vehicles can be dangerous, difficult and expensive for some territories. Application of low altitude UAVs give a possibility to achieve images with a very high resolution and sufficient precision. In this article structure and main details of drones were considered. It also was noted, that technologies of UAV-based Remote Sensing are used in different areas.
Agricultural drones help to analyze crops, make decisions on how to use the crop information and take the necessary actions to correct the problems. These unmanned aerial vehicles let to see fields from the sky. Agricultural drones are used to help increase crop production and monitor crop growth. Drones and sensors give a detail picture of fields. They can survey the fields periodically. Agricultural drones can reveal many issues such as soil variation, pest infestations and changes in the crops over time. They also show differences between healthy and unhealthy plants. Drones are flied over the crops and help to make decisions on how to proceed given the crop information. Nowadays there is a large capacity for growth in the area of agricultural unmanned aerial vehicles. With technology constantly improving, imaging of the crops will need to improve as well.
Drones are used for exploring for minerals and mapping deposit sites, they are used in the oil and gas industry for remote monitoring. Drones can provide information of nature disasters and give help to assess property damage. They help to conduct forest monitoring and to assess plant health. Unmanned aerial vehicles are also used in a military capacity and ecological monitoring. It also was noted, that there is a large capacity for development and improvement of unmanned aerial vehicles.путникового моніторингу в аерокосмічному комплексі

References

Alpert, М.І., Alpert, S.І. (2019, May). A new approach to the application of Jaccard coefficient and Cosine similarity in Hyperspectral Image Classification. Proceedings of the XVIII-th International Conference on Geoinformatics—Theoretical and Applied Aspects, 1–5, Kiev.

Alpert, М.І., Alpert, S.І. (2020, May). New methods to determine basic probability assignment and data fusion in Hyperspectral Image Classification. Proceedings of the XIX-the International Conference on Geoinformatics. Theoretical and Applied Aspects, 1–5, Kiev.

Bongasser, M. (2008).Hyperspectral Remote Sensing: Principles and Applications. Boca Raton, FL: CRC Press, 119.

Floreano, Dario, Wood, Robert, J. (2015). Science, technology an the future of small autonomous drones. Nature, 521 (7553). 460–466. doi:10.1038/nature14542.

Horowitz, Michael, C. (2020). Do Emerging Military Technologie Matter for International Politics? Annual Review of Political Science, 23. 385–400. doi:10.1146/annurev-polisci-050718-032725

Koparan, Cengiz, Koc, Ali Bulent, Privette, Charles, V., Sawyer, Calvin, B. (.2020). Adaptive Water Sampling Device for Aerial Robots. Drones,4 (1). 5. doi:10.3390/drones4010005

Koparan, Cengiz, Koc, Ali Bulent, Privette, Charles, V., Sawyer, Calvin, B., Sharp, Julia, L. (2018). Evaluation of a UAV-Assisted AutonomousWater Sampling. Water, 10 (5). 655. doi:10.3390/w10050655

McCoy, R. M. (2005). Fields Methods in Remote Sensing. New York: Guilford Press. 150-160.

McKnight, Veronica. (2015). Drone technology and the Fourth Amendment: aerial surveillance precedent and Kyllo do not account for current technology and privacy concerns. California Western Law Review, 51. 263.

Popov, M., Alpert, S., Podorvan, V., Topolnytskyi, M., Mieshkov, S. (2015). Method of Hyperspectral Satellite Image Classification under Contaminated Training Samples Based on Dempster-Shafer’s Paradigm. Central European Researchers Journal, 1 (1), 86–97.

Popov, M. A., Alpert, S. І., Podorvan, V. N. (2017). Satellite image classification method using the Dempster-Shafer approach. Izvestiya, atmospheric and oceanic. Physics, 53 (9). 1112–1122. doi: 10.1134/ s0001433817090250.

Published

2020-12-10

Issue

Section

Earth observation data applications: Challenges and tasks