Increase of Lidar-Sun Photometer System Efficiency of Functioning




lidar, efficiency, sun photometer, complex, optimization


The question on evaluation of lidar-sun photometric system efficiency of functioning is researched. Lidar systems both the ground and space designation should pass initial check up and validation of derived data upon ground measurements. Formulation of new criteria of efficiency of functioning of lidar-sun photometric systems keeps its actuality for whole subclass of atmospheric laser sensing systems. Signal-noise low ratio value of received signals, clouds effects and allowed wrong initial estimates of attenuation and scattering factors ratio could lead to negative result. To decrease error of lidar functioning the joint operation of lidar with sun photometer is practized. For complex of remote sensing composed of lidar and sun photometer the criterion of functioning efficiency that is covariation of two functions: (a) reflected signal, depending on distance of sensing and (b) laser irradiation power considered as function of said distance is suggested. The lidar-photometric system should be estimated as effective if covariation of said functions reaches minimum, that is sensing and reflected signals are completely different. The optimization task is formulated using procedure of non-conditional variation optimization upon some limitation condition imposed on searched function of laser power dependence on sensing distance. Solution of optimization task using Euler method make it possible to obtain the optimum type of the function upon which the adopted criterion of efficiency reaches minimum value that is system operates by maximum efficiency.

Author Biographies

H. H. Asadov, Research Institute of Aerospace Informatics

Doc. of Sci (Techn), Professor

U. F. Mammadova , Azerbaijan State Oil and Industrial University



Shahzad M. I., Nicol J. E., Wang J., Campbell J. R., Chan P.W. (2013) Estimating surface visibility at Hong Kong from ground-based LIDAR, sun photometer and operational MODIS products. Journa of the Air & Waste Management Association, Vol. 63, Iss. 9, pp. 1098-1110. DOI:10.1080/10962247.2013.801372.

Labzovski L. D., Papayannis A., Binietoglou J., Banks R. F., Baldasonu J. M., Toanca F., Tzanis C. G., Christodoulakis J. (2018) Relative humidity vertical profiling using lidar-based synergistic methods in the framework of the Hygra-CD campaign. Annales Geophysicae, Vol. 36, Iss. 1, pp. 213-229. DOI:10.5194/angeo-36-213-2018.

Lopes F. J. S., Landulfo E., Vaughan M. A. (2013) Evaluating CALIPSO 532 nm lidar ratio selection algorithm using AERONET sun photometers in Brazil. Atmospheric Measurement Techniques, Vol. 6, Iss. 11, pp. 3281-3299. DOI:10.5194/amt-6-3281-2013.

Karol Y., Tanre D., Goloub P., Vervaerde C., Balois L., Blarel L., Podvin T., Mortier A., Chaikovsky A. (2013) Airborne sun photometer PLASMA: concept, measurements, comparison of aerosol extinction vertical profile with lidar. Atmospheric Measurement Techniques, Vol. 6, Iss. 9, pp. 2383-2389. DOI:10.5194/amt-6-2383-2013.

Freville P., Montoux N., Baray J-L., Chauvigne A., Reveret F., Hervo M., Dionisi D., Payen G., Sellegri K. (2015) LIDAR Developments at Clermont-Ferrand — France for Atmospheric Observation. Sensors, Vol. 15, Iss. 2, pp. 3041-3069. DOI:10.3390/s150203041.

Yakovlev S., Sadovnikov S., Kharchenko O., Kravtsova N. (2020) Remote Sensing of Atmospheric Methane with IR OPO Lidar System. Atmosphere, Vol. 11, Iss. 1. DOI:10.3390/atmos11010070.

Donfrancesko Di G., Cairo F., Buontempo C., Adriani A., Viterbini M., Snels M., Morbidini R., Piccolo F., Cardillo F., Pommereu J-P., Garnier A. (2006) Balloonborne lidar for cloud physic studies. Applied Optics, Vol. 45., No. 22., pp. 5701-5708. DOI:10.1364/AO.45.005701

Larroza E. G., Nakaema W. M., Bourayou R., Horaeau C., Landulfo E., Keckhut P. (2013) Towards an automatic lidar cirrus cloud retrieval for climate studies. Atmospheric Measurement Techniques, Vol. 6., Iss. 11, pp. 3197-3210. DOI:10.5194/amt-6-3197-2013.

Comeron A., Munoz-Porcar C., Rocadenbosch F., Rodriguez-Gomez A., Sicard M. (2017) Current research in Lidar technology used for the remote sensing of atmospheric aerosols. Sensors, Vol. 17, Iss. 6, 1450. DOI:10.3390/s17061450.

Popovici I., Goloub P., Podvin T., Blarel L., Loisil R., Mortier A., Deroo C., Ducos F., Victori S., Torres B. (2018) A mobile system combining Lidar and sunphotometer on – road measurements: description and first results. EPJ Web of Conference, Vol. 176. ILRC 28. DOI:10/1051/epjconf/201817608003.

Meier J., Mattis I., Tegen I., Muller D. (2009) Model initialization and validation with ground- and space- based lidar measurements and sun photometer measurements. Proceeding of the 8th International Symposium on Tropospheric Profiling.

Li J., Gong W., Zhu Z., Ma. Y. Active-passive optical remote sensing for weather and climate research. (2008) {CiteSeer}.

Ionov P. I., Mollner A. K. (2015) Aerosol Optical Thickness Measurements with Elevation – Scanning Lidar. Journal of Atmospheric and Oceanic Technology, Vol. 32., Iss. 7, pp. 1364-1371. DOI:10.1175/JTECH-D-14-00183.1.

El'cgol'ts L. E. (1974) Differentsial'nye uravneniya i variatsionnoe ischislenie. [Differential equations and calculus of variations]. M.: Nauka, 432 p. [In Russian].



How to Cite

Асадов, Х. Г. and Маммадова , У. Ф. (2020) “Increase of Lidar-Sun Photometer System Efficiency of Functioning”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (83), pp. 36-40. doi: 10.20535/RADAP.2020.83.36-40.



Telecommunication, navigation, radar systems, radiooptics and electroacoustics