Vol. 36, issue 07, article # 8

Zhang Shuo., Klimkin A. V., Kokhanenko G. P., Kuraeva T. E., Osipov K. Yu. Calculation of the coordinates of a lidar sensing object and its mapping. // Optika Atmosfery i Okeana. 2023. V. 36. No. 07. P. 591–594. DOI: 10.15372/AOO20230708 [in Russian].
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Lidar is an important tool for studying atmospheric aerosol; it is widely used in studying the propagation of aerosol pollution in the atmosphere. During environmental monitoring, especially with a mobile lidar, it is important not only to detect a pollutant, but also to determine the spatial coordinates of its source and the propagation dynamics. In the work, we suggest a technique for calculating the coordinates of an object under study from the lidar coordinates, sensing direction, and the distance between the lidar and the object. The software implementation of the technique and an example of its application in the design of an auxiliary lidar system are described.


remote sensing, lidar, calculation of coordinates, mapping



1. Wang Yingjian, Hu Shunxing, Zhou Jun, Hu Linghuan. Measurement of Atmospheric Parameters by Lidar. Beijing: Science Press, 2014. 400 p.
2. Northend C.A., Honey R.C., Evans W.E. Laser radar (Lidar) for meteorological observations // Rev. Sci. Instrum. 1966. V. 37, N 4. P. 393–400.
3. Lazernoe zondirovanie industrial'nykh aerozolei // pod red. V.E. Zuev, B.V. Kaul', I.V. Samokhvalov. Novosibirsk: Nauka, 1986. 188 p.
4. Kokhanenko G.P., Balin Y.S., Klemasheva M.G., Nasonov S.V., Novoselov M.M., Penner I.E., Samoilova S.V., Nasonov S.V., Novoselov M.M., Penner I.E., Samoilova S.V. Scanning polarization lidar LOSA-M3: Opportunity for research of crystalline particle orientation in the ice clouds // Atmos. Meas. Technol. 2020. V. 13, N 3. P. 1113–1127.
5. Stoyanov D., Nedkov I., Groudeva V., Cherkezova-Zheleva Z., Grigorov I., Kolarov G., Iliev M., Ilieva R., Paneva D., Ghelev C. Long-distance LIDAR mapping schematic for fast monitoring of bioaerosol pollution over large city areas // Atmos. Air Pollut. Monit. 2019. DOI: 10.5772/intechopen.87031.
6. Scollo S., Boselli A., Coltelli M., Leto G., Pisani G., Spinelli N., Wang X. Monitoring Etna volcanic plumes using a scanning LiDAR // Bull. Volcanol. 2012. V. 74. P. 2383–2395.
7. Innocenti F., Robinson R., Gardiner T., Finlayson A., Connor A. Differential absorption lidar (DIAL) measurements of landfill methane emissions // Remote Sens. 2017. V. 9, N 9. P. 953.
8. Lihui L., Liu J., Wenqing, Tianshu Zh., Yunshueng D., Chen Zh., Guangyang F., Yang L., Yan X. Characteristics of boundary layer height in Jing-Jin-Ji area based on lidar // Laser Optoelectron. Progress. 2017. V. 54, N 1. P. 50–56.
9. Liu Zhi. Studies on the Air Pollution Detection by Employing a Scanning Scheimpflug Lidar. Dalian: Dalian University of Technology, 2020. 51 p.
10. Kokhanenko G.P., Balin Y.S., Klimkin A.V., Novoselov M.M., Zhang Shuo. Mapping aerosol pollution over the city using a scanning lidar // Proc. SPIE. 2021. V. 11916. P. 839–842.
11. Vincenty T. Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations // Surv. Rev. 1975. V. 23, N 176. P. 88–93.
12. Slater J.A., Malys S. WGS 84 – Past, present, and future // Advances in Positioning and Reference Frames: IAG Scientific Assembly Rio de Janeiro, Brazil, September 3–9, 1997. Berlin, Heidelberg: Springer, 1998. P. 1–7.
13. Malys S., Wong R., True S.A. The WGS 84 terrestrial reference frame in 2016 // Eleventh Meeting of the International Committee on GNSS (ICG-11). 2016. P. 6–11.
14. Blog kompanii IT-tsentr MAI. Osvaivaem analiz lidarnykh dannykh i izmeryaem dorozhnye znaki. URL: https://habr.com/ru/company/itmai/blog/549716/ (data obrashcheniya: 28.02.2023).
15. Remondino F. From point cloud to surface: The modeling and visualization problem // ISPRS Archives. 2003. DOI: 10.3929/ethz-a-004655782.
16. Kartograficheskii servis Geoserver [B.m.], 2023. URL: https://geoserver.org/ (data obrashcheniya: 28.02.2023).
17. Geograficheskaya informatsionnaya sistema QGIS [B.m.], 2023. URL: https://www.qgis.org/ (data obrashcheniya: 28.02.2023).
18. Geograficheskaya informatsionnaya sistema OpenLayers [B.m.], 2023. URL: https://openlayers.org/ (data obrashcheniya: 28.02.2023).