Claudia Notarnicola

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Kernel versions of the principal components (PCA) and maximum autocorrelation factor (MAF) transformations are used to postprocess change images obtained with the iteratively re-weighted multivariate alteration detection (MAD) algorithm. It is found that substantial improvements in the ratio of signal (change) to background noise (no change) can be obtained(More)
[1] Of more than 400 filled lakes now identified on Titan, the first and largest reported in the southern latitudes is Ontario Lacus, which is dark in both infrared and microwave. Here we describe recent observations including synthetic aperture radar (SAR) images by Cassini’s radar instrument (l = 2 cm) and show morphological evidence for active material(More)
Center for Radiophysics and Space Research, Cornell University, Ithaca, NY 14853, USA Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, USA Applied Physics Laboratory, Johns Hopkins University, Laurel, MD 50742, USA Rosentiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA Department(More)
In this paper, the results of a comparison between the soil moisture content (SMC) estimated from C-band SAR, the SMC simulated by a hydrological model, and the SMC measured on ground are presented. The study was carried out in an agricultural test site located in North-west Italy, in the Scrivia river basin. The hydrological model used for the simulations(More)
A new algorithm for snow cover monitoring at 250 m resolution based on Moderate Resolution Imaging Spectroradiometer (MODIS) images is presented. In contrast to the 500 m resolution MODIS snow products of NASA (MOD10 and MYD10), the main goal was to maintain the resolution as high as possible to allow for a more accurate detection of snow covered area(More)