Despite an ever-increasing number of spaceborne, airborne, and ground-based data
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …

Urban environments globally are under threat due to recent climate changes caused by a
variety of factors such as growing industrialization, rapid migration, increasing traffic flow …

In mineral resources extraction projects, the morphology of geological domains that make up
the ore types in a mineral deposit is essential for mine and plant planning and design …

This book covers the main mining issues where geostatistics, a discipline founded in the
1960s to study regionalized variables measured at a limited number of points in space, is …

The main aim of this study is the identification of potassic, phyllic and propylitic alteration
zones in the hypogene zone of the Sungun Cu porphyry deposit (NW Iran) based on …

Résumé Stochastic simulation is increasingly used to map the spatial variability in the
grades of elements of interest and to assess the uncertainty in the mineral resources and ore …

Abstract Sequential Gaussian Simulation is a commonly used geostatistical method for
populating a grid with a Gaussian random field. The theoretical foundation of this method …

Carbon dioxide (CO 2) capture and storage (CCS) is presented as an alternative measure
and promising approach to mitigate large-scale anthropogenic CO 2 emissions into the …

Cokriging allows predicting coregionalized variables from sampling information, by
considering their spatial joint dependence structure. When secondary covariates are …

Abstract In Interferometric Synthetic Aperture Radar (InSAR) data processing, accurately
unwrapping the phase is crucial for measuring elevation or deformation. DCNN models such …