Combination of Cross- and Inter-Band Radiometric Calibrations for a Hyperspectral Sensor Using Model-Based Spectral Band Adjustment

Abstract

Recently, the growing number of hyperspectral satellite sensors have increased the demand for a flexible and robust approach to their calibration. This paper proposes an operational method for the simultaneous correction of inter-sensor and inter-band biases in hyperspectral sensors via the soil line concept for spectral band adjustment. Earth Observing-1 Hyperion was selected as an example, with the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) as a reference. The results over the Railroad Valley Playa calibration site indicated that the discrepancy in the analogous bands between Hyperion and MODIS during 2001–2008 was approximately 4–6% and 7–9% of the root-mean-square error in the top-of-atmosphere (TOA) radiance at the visible and near-infrared region and shortwave infrared region, respectively. For all Hyperion bands, the relative cross-calibration coefficients during this period were calculated (typically ranging from 0.9 to 1.1) to correct the Hyperion TOA radiance to be consistent with the MODIS and the other Hyperion bands. The application of the proposed approach could allow for more flexible cross-calibration of irregular-orbit sensors aboard the International Space Station.

Second derivative water reflectance spectra for phytoplankton species detection: origin, impact and removal of spectral wiggles

“…In both approaches the choice of averaging/discretization range needs to be made carefully to remove the unwanted wiggle without attenuating the wanted signal. Other approaches consist in developing empirical methods to correct this effect [15][16][17] without trying to fully understand it. In the current paper, spectral averaging is eschewed in favour of understanding the processes generating wiggles and dealing with them in a more appropriate manner.…”

“…Interband calibration for multispectral spaceborne and in situ radiometers is usually assumed to be achieved by the absolute responsivity calibration, although it may be analysed separately [42][43][44] . For hyperspectral measurements where derivative-based algorithms may be used it becomes relevant to have an interband calibration requirement [15][16][17] in addition to the typical absolute responsivity calibration requirements, e.g. an interband calibration accuracy requirement of 0.25% or better at top of atmosphere has been suggested 14 for application of the Modified Astoreca Index for detection of Phaeocystis globosa.…”