Assessment of bidirectional reflectance effects on desert and forest for radiometric cross-calibration of satellite sensors

摘要: Abstract Cross-calibration is a wildly used approach to radiometrically calibrate satellite sensors meet uncertainty requirements. However, its accuracy greatly influenced by bidirectional reflectance distribution function (BRDF) effects. To understand such influences, we analyzed the long-term BRDF characteristics of two commonly cross-calibration targets (‘bright’ desert and ‘dark’ forest) using (2002 – 2016) Moderate Resolution Imaging Spectroradiometer (MODIS) products. derived MODIS observations both land cover types had 365-day cycles. Furthermore, solar sensor zenith angles showed more influence on than relative azimuth angles, variations were approximately 10 times sensitive when or surpassed boundary 75°, which therefore not recommended for selecting image pairs between target reference cross-calibration. Due cloud cover, three prevailing interpolation methods (nearest, linear, spline interpolation) also assessed in their capacity fill temporally missing Linear was preferred valid scenes five days, while nearest outperformed other no days. In addition, look up tables (LUTs) established cross-calibrating products unavailable. The LUTs further validated with Landsat-8/Operational Land Imager (OLI) top atmosphere (TOA) radiance simulated Second Simulation Satellite Signal Solar Spectrum model (6S) effects corrected typical geometries at sites. High consistency achieved mean biases less 0.3%, suggests that could be as alternatives are These results provide guidelines improve including image-matchup criteria, efficient effect removal, selection potential calibration