“…It is expected that multimodal remote sensing enhances the understanding of Earth's surface physical phenomena. Nonetheless, it has been proved, either in remote sensing [4], [5] or in other data science research fields [3], [10], that processing more data and records does not always result in detailed information extraction because of nonidealities, mismatches and estimation imperfections [5], [11], [12]. This effect is even more evident in a multimodal analysis set-up, as the differences in temporal, spatial, spectral, and radiometric resolutions might affect the correct alignment, labelling and reference of the records to be processed [1]- [3], [5], [8], [9].…”