Investigation of Possibility of Measuring the Albedo of Earth's Surface in Visible and Near Infrared Bands in Conditions of Aerosol Pollution of Atmosphere Using Unmanned Aerial Vehicles

Authors

DOI:

https://doi.org/10.20535/RADAP.2024.96.28-31

Keywords:

albedo, aerosol, UAV, spectroradiometer, efficiency criterion

Abstract

It is well-known that such processes as agricultural activities, urbanization processes, climatic changes leading to abnormal precipitation, etc. affect the magnitude of the Earth's albedo. At the same time, the results of remote albedo measurement in visible and near infrared bands also depend on the degree of aerosol pollution of the atmosphere. These factors leading to changes in the earth's albedo lead to the need for periodic measurements of regional values of the albedo of the earth's surface. There are a number of problems related to measuring the albedo of the earth, related to the spatial and temporal variability of this indicator. These include the dependence of albedo on the zenith angle of the Sun, the need to create albedo measurement networks in the form of numerous geographically distributed pyranometers, the dependence of satellite albedo measurements on the state of the atmosphere, leading to the need for inter-satellite calibration, or ground-based validation measurements. At the same time, the issue of fully accounting for the effect of atmospheric aerosol on the results of measuring the albedo of the Earth's surface is still open. The article is devoted to the measurement of the Earth's albedo visible and near infrared bands using UAVs in conditions of aerosol pollution of the atmosphere. The model of single scattering of the optical source signal of an atmospheric aerosol was adopted as the basis of the conducted research. The interrelation of such optical indicators as the optical thickness of the aerosol and the albedo of the Earth's surface is analyzed. A criterion for the effectiveness of atmospheric measurements using UAVs is proposed, in which efficiency is defined as the ratio of the total radiation entering the on-board spectroradiometer to the amount of extra-atmospheric radiation from the Sun. By switching from a discrete model to a continuous model created to calculate the proposed efficiency criterion, it is shown that with a synchronous change in the optical thickness of the aerosol and albedo, according to the calculated law, the minimum efficiency of measurements of the albedo of the earth's surface is achieved.

Author Biographies

H. H. Asadov , Research Institute of Aerospace Informatics, National Aerospace Agency, Baku, Republic of Azerbaijan

Doctor of Technical Sciences, Professor

A. J. Alieva , Research Institute of Aerospace Informatics, National Aerospace Agency, Baku, Republic of Azerbaijan

Ph. D.

M. G. Ashrafov , Research Institute of Aerospace Informatics, National Aerospace Agency, Baku, Republic of Azerbaijan

Doctoral student

References

References

Driemel, A., Augustine, J., Behrens, K., Colle, S., Cox, C., et al. (2018). Baseline Surface Radiation Network (BSRN): structure and data description (1992–2017). Earth System Science Data, Vol. 10, Iss. 3, pp. 1491-1501, doi:10.5194/essd-10-1491-2018.

Manninen, T., Jääskeläinen, E., & Riihelä, A. (2019). Black and White-Sky Albedo Values of Snow: In Situ Relationships for AVHRR-Based Estimation Using CLARA-A2 SAL. Canadian Journal of Remote Sensing, Vol. 45(3-4), pp. 350-367, doi:10.1080/07038992.2019.1632177.

Manninen, T., Jääskeläinen, E., Siljamo, N., Riihelä, A., & Karlsson, K. G. (2022). Cloud-probability-based estimation of black-sky surface albedo from AVHRR data. Atmospheric Measurement Techniques, Vol. 15, Iss. 4, pp. 879-893, doi:10.5194/amt-15-879-2022.

Sánchez-Zapero, J., Martínez-Sánchez, E., Camacho, F., Wang, Z., Carrer, D., et al. (2023). Surface ALbedo VALidation (SALVAL) Platform: Towards CEOS LPV Validation Stage 4—Application to Three Global Albedo Climate Data Records. Remote Sensing, Vol. 15, Iss. 4, 1081, doi:10.3390/rs15041081.

Urraca, R., Lanconelli C., Cappucci F. and Gobron N. (2023). Assessing the Fitness of Satellite Albedo Products for Monitoring Snow Albedo Trends. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, pp. 1-17, Art no. 4404817, doi:10.1109/TGRS.2023.3281188.

Schmitt C. G., All J. D., Schwarz J. P., Arnott W. P., Cole R. J., et al. (2015). Measurements of light-absorbing particles on the glaciers in the Cordillera Blanca, Peru. The Cryosphere, Vol. 9, Iss. 1, pp. 331-340. doi:10.5194/tc-9-331-2015.

Zhang H., Kondragunta S., Laszlo I., Liu H., Remer L. A., Huang J., Ciren P. (2016). An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using global surface reflectance ratio database. J. Geophys. Res. Atmos, Vol. 121, Iss. 18, 10 p., doi:10.1002/2016JD024859.

Jonsell U., Hock R., Holmgren B. (2003). Spatial and temporal variations in albedo on Storglaciären, Sweden. Journal of Glaciology, pp. 59-68. DOI:10.3189/172756503781830980.

Claverie M., Vermote E. F., Franch B., Masek J. G. (2015). Evaluation of the Landsat-5-TM and Landsat-7 ETM + surface reflectance products. Remote Sensing of Environment, Vol. 169, pp. 390-403. doi:10.1016/j.rse.2015.08.030.

Liu Y., Wang Z., Sun Q., Erb A. M., Li Z., et al. (2017). Evaluation of the VIIRS BRDF, albedo and NBAR products suite and an assessment of continuity with the long term MODIS record. Remote Sensing of Environment, Vol. 201, pp. 256-274. doi:10.1016/j.rse.2017.09.020.

Pinty B., Taberner M., Haemmerle V. R., Paradise S. R., Vermote E., et al. (2011). Global-Scale Comparison of MISR and MODIS Land Surface Albedos. Journal of Climate, pp. 732-749. doi:10.1175/2010JCLI3709.1.

Heikkinen P., Pulliainen J., Kyro E., Sukuvaara T., Suokanerva H., Kontu A. (2007). Comparison of MODIS surface reflectance with mast-based spectrometer observations using CORINE20001 and cover database. 2007 IEEE international geoscience and remote sensing symposium, pp. 4117-4119, doi: 10.1109/IGARSS.2007.4423755.

Maiersperger T. K., Scaramuzza P. L., Leigh L., Shrestha S., Gallo K. P., et al. (2013). Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer and MODIS data. Remote Sensing of Environment, Vol. 136, Pages 1-13. doi:10.1016/j.rse.2013.04.007.

Mira M., Weiss M., Baret F., Courault D., Hagolle O., et al. (2015). The MODIS (collection V006) BRDF/albedo product MCD43D: Temporal course evaluated over agricultural landscape. Remote Sensing of Environment, Vol. 170, pp. 216-228. doi:10.1016/j.rse.2015.09.021.

Li Z., Zhao X., Kahn R., Mishchenko M., Remer L., et al. (2009). Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective. Annales Geophysicae, Vol. 27, Iss. 7, pp. 2755–2770. doi:10.5194/angeo-27-2755-2009.

Coddington O., Schmidt K. S., Pilewskie P., Gore W. J., Bergstrom R. W., et al. (2008). Aircraft measurements of spectral surface albedo and its consistency with ground-based and space-borne observations. Journal of Geophysical Research: Atmospheres, Vol. 113, Iss. D17, doi:org/10.1029/2008JD010089.

Wendisch M., Muller D., Schell D., Heintzenberg J. (2001). An airborne spectral albedometer with active horizontal stabilization. Journal of Atmospheric and Oceanic Technology, Vol. 18, Iss. 11, pp. 1856-1866. doi: 10.1175/1520-0426(2001)018<1856:AASAWA>2.0.CO;2.

Uto K., Seki H., Saito G., Kosugi Y., Komatsu T. (2016). Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror and Compact Spectrometers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 9, pp. 3909-3925, doi: 10.1109/JSTARS.2016.2592987.

Van der Hage J. C. H. (1992). Interpretation of Field Measurements Made with a Portable Albedometer. Journal of Atmospheric and Oceanic Technology, Vol. 9, Iss. 4, pp. 420-425. doi: 10.1175/1520-0426(1992)009<0420:IOFMMW>2.0.CO;2.

Boehmler J. M., Loría-Salazar S. M., Stevens C., Long J. D., Watts A. C., Holmes H. A., et al. (2018). Development of a Multispectral Albedometer and Deployment on an Unmanned Aircraft for Evaluating Satellite Retrieved Surface Reflectance over Nevada’s Black Rock Desert. Sensors, Vol. 18, Iss. 10, 3504; doi: 10.3390/s18103504.

Downloads

Published

2024-06-30

How to Cite

Asadov , H. H., Alieva , A. J. and Ashrafov , M. G. (2024) “Investigation of Possibility of Measuring the Albedo of Earth’s Surface in Visible and Near Infrared Bands in Conditions of Aerosol Pollution of Atmosphere Using Unmanned Aerial Vehicles”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (96), pp. 28-31. doi: 10.20535/RADAP.2024.96.28-31.

Issue

Section

Telecommunication, navigation, radar systems, radiooptics and electroacoustics