Multi-purpOse displacement Behavior Identifier Digital Image Correlation Tool

MOBI-DIC is a digital image correlation (DIC) framework designed to quantify spatially distributed surface displacements from multi-temporal geospatial imagery. By correlating corresponding image patterns between acquisitions, the software identifies and measures surface motion, producing displacement fields that describe both the magnitude and spatial distribution of deformation. This approach enables the detection and characterization of surface changes over areas where conventional point-based monitoring techniques provide only limited spatial coverage. DIC is particularly suited to geomorphological applications such as the detection and monitoring of landslides, rock slope instabilities, glacier motion, and other processes associated with surface deformation.  The scientific value of MOBI-DIC lies in its ability to transform repeated optical observations into quantitative displacement information while retaining the spatial variability of the deformation field. Depending on the characteristics and georeferencing of the input imagery, the resulting measurements can be integrated with geographic information and other geodetic observations to investigate displacement patterns, identify active areas, quantify movement rates, and analyse the spatial evolution of surface processes. DIC therefore provides a complementary approach to techniques such as InSAR, GNSS, and total-station monitoring, offering particularly valuable spatial coverage for large and heterogeneous deforming areas.  In this context, MOBI-DIC provides a workflow for processing, filtering, analysing, and visualising DIC-derived displacement information within a geospatial environment. Its application is particularly relevant to Earth-surface monitoring, where repeated aerial, terrestrial, or other high-resolution imagery can be exploited to reconstruct the spatial and temporal evolution of deformation and support the identification and interpretation of geomorphological processes.