Applicability evaluation of Spectral Band Adjustment Factor for Cross-Calibration using high resolution optical satellite

Abstract

Currently, research such as time-series vegetation index analysis, disaster monitoring, and aerosol monitoring are being conducted using high-resolution optical satellites. However, since each high spatial resolution satellite has differences in the spectral response of the two sensors, there is a limit of time-series monitoring when using satellite data fusion. In this study, the Spectral Band Adjustment Factor (SBAF) was calculated for Sentinel-2A and Landsat-8, which are high-resolution satellites, and cross-calibration was performed. When combining data from two satellites, it is necessary to overcome the difference in radiometric sensor characteristics of each satellite. The bias due to the difference in the spectral response of the two satellites was corrected through an adjustment factor derived from the EO-1 Hyperion data. As a result of applying SBAF, the difference in value was within 5%. In the future, based on the results derived from this study, it is expected to make a great contribution to continuous monitoring and time series analysis of aerosols including PM2.5.※ This work was supported by the "Graduate school of Particulate matter specialization." of Korea Environmental Industry & Technology Institute grant funded by the Ministry of Environment, Republic of Korea.