Gaussianizing the Earth: Multidimensional information measures for Earth data analysis
نویسندگان
چکیده
Information theory (IT) is an excellent framework for analyzing Earth system data because it enables us to characterize uncertainty and redundancy universally interpretable. However, accurately estimating information content challenging spatiotemporal are high-dimensional heterogeneous have nonlinear characteristics. In this article, we apply multivariate Gaussianization probability density estimation, which robust dimensionality, comes with statistical guarantees, easy apply. addition, methodology estimate information-theoretic measures densities: information, entropy, total correlation, mutual (MI). We demonstrate how IT can be applied in various analysis problems.
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ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Magazine
سال: 2021
ISSN: ['2473-2397', '2373-7468', '2168-6831']
DOI: https://doi.org/10.1109/mgrs.2021.3066260