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We processed the data from raw format following the standard procedures of a two-pass approach (Massonet and Feigl, 1998) using the GAMMA software (Wegmüller and Werner, 1997).
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The qualitative analysis, which involves the identification of Ca and Mg elements in the samples, and the quantitative analysis of concentrations were achieved using the gamma-spectrum software of the MAESTRO 32.
The Rayleigh channel coefficients were generated in the same way with β=2, and the Nakagami-m using the Gamma random variates from the Matlab software package.
ML tree topologies were constructed using the software PUZZLE 4.0 [ 43], employing 1000 puzzling steps, the JTT substitution matrix, estimation of rate heterogeneity using the gamma distribution model with eight rate categories, and the gamma-parameter estimation from the dataset.
Rate heterogeneity among sites was modelled using the gamma model.
The priors were set using the gamma-Dirichlet prior [ 56].
All the InSAR images were generated from the level 1.0 PALSAR image, using the commercial software package by Gamma Remote Sensing.
SPECT images were reconstructed using ordered subset expectation maximization (5 iterations, 4 subsets) without attenuation correction using the FLEX SPECT software (Gamma Medica-Ideas).
The results were read with the "Oakfield health care" Gamma – 12 counter using the RIASTAT software.
The maximum likelihood (ML) analysis used the GTR model of nucleotide substitution with different base frequencies and a gamma shape parameter of 0.3373, chosen using the Modeltest software [ 34].
Data were analyzed using the CellQuestTM software.
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