Paolo Antonelli

TL;DR: In this article, principal component analysis (PCA) is used to investigate the spectral nature of observations from the Infrared Atmospheric Sounding Interferometer (IASI) with a focus on the effects of non-uniform scenes on the Instrument Line Shape (ILS).

TL;DR: The international experiment EAQUATE (European AQUA Thermodynamic Experiment) was held in Italy and in the United Kingdom in 2004 as mentioned in this paper, with the main purpose of assessing and validation of performance of new IR hyperspectral sensors.

TL;DR: HYDRA enables interrogation of multispectral (and hyperspectral) fields of data so that a) pixel location and spectral measurement values can be easily displayed; b) spectral channels can be combined in linear functions and the resulting images displayed.

TL;DR: The approach for dependent set PCA of AIRS Earth scene data is presented and specific findings include that the signal dependence of AIRs NEDN is accurately parameterized in terms of the scene radiance and examination of the reconstruction error allows non-Gaussian phenomenon such as popping to be characterized.

TL;DR: In this article, the authors describe the approach for modeling cloud attenuation in a fast-parameterized forward model that treats clouds as an additional absorber, based on this efficient cloudy radiative transfer model, the simulation of the spatial and temporal coherent radiance images in three dimensions becomes possible.