The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land

Abstract

Surface polarized reflectance is related to its optical properties and observation geometry. It disturbs remote sensing of aerosol. In this study, we differentiated the polarized reflectance of a natural surface based on the normalized difference vegetation index and scattering angle, and the interband correlation coefficients were generally higher than that without differentiation. The spectral relationship was determined based on normalized difference vegetation index and scattering angle and then employed for aerosol retrieval from polarization and anisotropy of reflectances for atmospheric sciences coupled with observations from a lidar measurements. The retrieved aerosol optical depths (AODs) were contrasted with Aerosol Robotic Network results. The correlation coefficient between the retrieved and Aerosol Robotic Network AODs increased from 0.723 to 0.836, and the root‐mean‐square error reduced from 0.348 to 0.245 after considering the differentiated relationship. Thus, the accuracy of the retrieved AOD values was improved.

Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing

“…With these polarimetric remote sensing sensors and vector radiative transfer models, a lot of researches have been done (Xu and Wang 2015;Li et al 2009). Major applications of polarized remote sensing sensors are aerosol retrieval, mainly for simultaneous retrievals of aerosol optical depth (AOD) and microphysical properties (Wang et al 2019;Remer et al 2019;Gao et al 2019) due to the far more information provided by polarization than intensity only. Some studies focused on the multi-angular properties of cloud to get the optical and microphysical properties of different cloud (Sinclair et al 2019;Shang et al 2019;Chen et al 2019).…”

A Robust Method for Generating High-Spatiotemporal-Resolution Surface Reflectance by Fusing MODIS and Landsat Data

“…The surface reflectance, which characterizes the ability of the land surface to reflect solar and sky radiation pertaining to vegetation cover, soil moisture and surface roughness [1][2][3], is a valuable indicator for recognizing ground objects [4,5] and retrieving biophysical variables, e.g., vegetation indices (VIs) [6,7], leaf area index (LAI) [8,9] and biomass [10,11]. The requirement for reflectance data with both high spatial and temporal resolution is increasingly important to simulate the surface energy budget [12][13][14] and monitor ecosystem and hydrologic dynamics [15][16][17][18] at regional and global scales.…”

Clear Night Sky Polarization Patterns Under the Super Blue Blood Moon

“…The effects of different aerosol particles on celestial polarization patterns were investigated in [25] by using the radiative transfer model. Furthermore, the polarization was used for aerosol retrieval [26][27][28] as it was able to provide more information than intensity. Other than that, the relationship between aerosol optical thickness and clouds with the stability of celestial polarization patterns was investigated in [29].…”