Estimation of high-resolution land surface net shortwave radiation from AVIRIS data: Algorithm development and preliminary results

摘要: © 2015 Elsevier Inc. Hyperspectral remote sensing provides unique and abundant spectral information for quantification of the land surface shortwave radiation budget, which can be used to calibrate climate models estimate energy budget monitoring agriculture urban environment. However, only single broadband or multispectral data have been in previous studies. In present study, two methods are proposed instantaneous net (NSR) with high spatial resolutions using hyperspectral observations from Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data. Method A calculates NSR based on separate estimation downward albedo, requires ancillary aerosol optical depth; B directly estimates observed radiance. Results radiative transfer simulations showed that use significantly improve compared method. Atmospheric water vapor correction was applied adjust estimation. Validation AVIRIS against ground measurements flux networks period 2006-2014 were similar had consistent accuracy all-sky root-mean-square-errors (RMSEs) approximately 28-56W/m2. The pixel-based content provided slightly different results than those obtained coarse resolution simplified topographic algorithm found able generated A; however, degree improvement by unclear, possibly because lack consideration horizontal atmospheric scattering effects adjacent pixels. general, shown accuracies Additional efforts needed refine application future satellite