The Purpose. The problem of applying unmanned aerial vehicles for real estate estimations has become important with the development of modern methods of distance sensing of residential areas. For several decades aerial photography has been an effective tool for performing geodetic survey, geophysical studies, and various types of monitoring. Modern technology used in creating topographic and cadastral plans is based on using digital data of aerial photography [Burshtynska H., Stankewych S., 2013]. However, the cost of airplanes and helicopters used in applying the local large-scale survey is costly .The alternative solution is applying unmanned aerial vehicles (UAVs) for real estate estimation. The Methodology. The methodology is based on the necessity of utilizing UAVs for estimation of the market real estate value. Creating large-scale plans of rural areas on the basis of data obtained from UAVs is required for projecting gain plans [Glotov V, Korduba Yu, 2011; Glotov V, Gunina A., 2014]. This is related to the land accounting and setting boundaries in a particular region. This previous sentence is duplicated in paragraph below “In Practical Significance so it is best not repeated in 2 times. UAVaerial photography has additional advantages in comparison with traditional and space photography. The Results. The investigations show the importance of UAV application for real estate estimation. The course of using UAVs is to obtain photos with certain characteristics. Aerial photography is known as a distance sensing technology and economically justified method of collecting spatial information, as the basis for creating cadastral plans and maps, three-dimensional models of the relief and the territory [Glotov V, Tserklevych A. et al., 2014]. It can also be used for estimation of the market value of real estate. Scientific Innovation. The research connected to the use of UAVs for estimation the market of the real estate value has been done for the first time. This article proves that at the time of collection and analysis of basic data in order to improve the quality of raw materials reliability, as well as for rapid and precise geometric characteristics of the studied object and selecting similar objects to the estimative that unmanned aerial devices should be used. The Practical Significance. The UAV application for the estimation of market real estate value is of high economic efficiency. As the result the determination of geometric characteristics is cheaper compared to traditional surveying methods. UAV photography has additional advantages in comparison to traditional methods, , particularly the possibility of obtaining high accuracy images (one point per centimeter) in the territory. It gives the possibility to make detailed photos of small objects and small areas when there is no value or technical possibility to do it by using other methods as in urban conditions. The other advantages of UAV photography are its mobility; high efficiency; and the environmental purity of flights.
1. Burshtynska Kh. V., Stankevich S. A. Aerospace Photo-System: student's book. Lviv: Lviv Polytechnic Publishing House, 2013, 316 p.
2. Galetskiy V., Glotov V., Kolesnichenko V. [Et al.] Analysis of Experimental Work for Creating Large-Scale Plans of Rural Areas Using UAV. Geodesy, Cartography and Aerial Photography, no. 76, 2012, pp. 85–93.
3. Glotov V., Gunina A. Analysis of Possibilities of UAV Using Aerial Photography Processes. Modern Achievements in Geodetic Science and Industry, no. II (28), 2014, pp. 65–70.
4. Glotov V. M., Korduba Yu. G. Application of Stereo- pho¬togrammetric Methods for Creating Maps When Projecting Gain Village Plans. Geodesy, Cartogra-phy and Aerial Photography, no. 74, 2011, pp. 97–101.
5. Hrebenykov A. G., Zhuravskyy A. G., Myalytsa A. K. [Et al.]. The Problems of Creating UAV Complexes in Ukraine. Open Information and Computer Integrated Technology, no. 42, 2009, pp. 111–119.
6. Zinchenko O. UAV: Application in Accordance to the Purposes of Aerial Photography for Mapping (part 1). Rakurs (Perspective), 2011, pp. 1–12.
7. Matiychyk M. P., Kachalo I. A. Trends of UAV Usage in Civil Aviation. Materials of XI International Scientific-Technical Conference. "AVIA 2013", 2013, 97 p.
8. Glotov V., Tserklevych A. L., Zbrutsky O. [et al.]. Analysis and Prospects of Aerial Photography. Modern Achievements in Geodetic Science and Industry, no. I (27), 2014, pp. 131–136.
9. International Estimation Standards IES-1. The Market Value as the Basis of Estimation. International Committee of Standards for Real Estate Estimation (ICSREE), 2006.
10. Perovich L. M., Hubar Y. P. Real Estate Estimation: Textbook. Lviv National University "Lviv Polytechnic", 2010, 296 p.
11. Stankevich S. A., Vasco A. B. Application of Modern Technologies of Aerial Photography in Agriculture. Scientific Aspects of Surveying, Land Management and Information Technology. Materials of Scientific- Practical Conference, 2011, 44–50 pp.
12. Trubnikov G. V., Voronov V. V. UAVs and Techno-logical Modernization of the Country. Arm Export no. 4, 2009, pp. 11–20.
13. Drapykovskyy A. I., Ivanov I. B., Ignatenko N. S., Isaev N. B., Lukashova I. V., Mokrousov N. V., Romanenko L. V. Real Estate Estimation: textbook. Second edition. edited by A. Y. Drapykovskiy and I. B. Ivanova – second edition B.: Publishing House "EGA-Basma", 2007, 480 p.
14. Chen J., Zongjian L., Xiaojing W., Yongrong L. Application of UAV systems to low altitude photogrammetry in Shanxi. The international archives of the photogrammetry, distance sensing and spatial information sciences. XXII ISPRS Congress. Melbourne. 2012, pp. 351–354.
15. Droeschel D., Schreiber M., Behnke S. Omnidirectional perception for lightweight UAVs using acontinuously rotating 3D laser scanner. The international archives of the photogrammetry, distance sensing and spatial information sciences. UAV-g2013. Rostock. 2013, pp. 107–112.
16. Gini R., Passoni D., Pinto L., Sona G. Aerial images from an UAV system: 3D modeling and tree species classification in a park area. The international archives of the photogrammetry, distance sensing and spatial information sciences. XXII ISPRS Congress. Melbourne. 2012, pp. 361–366.
17. Grenzdorffer G., Niemeyer F., Schmidt F. Development of four vision camera system for a Micro-UAV. The in¬ternational archives of the photogrammetry, dis-tan¬ce sensing and spatial information sciences. XXII ISPRS Congress-Melbourne. 2012, pp. 369–374.
18. Makelainen A., Saari H., Hippi I., Sarkeala J., Soukkamaki J. 2D-hyperspectral frame imager camera data in photogrammetric mosaicking. The international archives of the photogrammetry, distance sensing and spatial information sciences. UAV-g2013, Rostock, 2013, pp. 263–267.