Antonio Minervino Amodio

Antonio Minervino Amodio

Researcher

+39 3334449280
Potenza
antonio.minervinoamodio@cnr.it

Professional profile

Geomorphologist | Remote Sensing Specialist | GIS Expert | UAV Pilot | Digital Heritage Specialist | Spatial Machine Learning Researcher

Geologist and researcher specializing in land analysis, with a core focus on applied geomorphology and the protection of cultural and natural heritage. His research topics centers on investigating erosion processes, hydrogeological instability, and natural hazards (floods, landslides, and earthquakes) by integrating cutting-edge technologies.

His primary technical expertise includes:

  • Remote Sensing & Photogrammetry: Extensive experience in using Unmanned Aerial Systems (UAS) for LIDAR and photogrammetric data acquisition, aimed at 3D modeling and generating high-resolution Digital Elevation Models (DEMs);
  • Geographic Information Systems (GIS): Expert proficiency in ArcGIS Pro, QGIS, and GRASS for multi-temporal mapping and spatial analysis;
  • Innovative Methodologies: Implementation of spatial Machine Learning methods to study the variations in hazard elements affecting cultural heritage due to climate change.

His research interests include coastal evolution, morphotectonics, and "Landscape Archaeology," where he employs multispectral and thermal sensors to detect and document archaeological sites under dense canopy or in degraded rural landscape.

CNR Disciplinary Fields and Research Management Sectors

  • SH8_1 Science and Technologies for Cultural Heritage
  • PE10_13 Physical geography, geomorphology
  • PE10_12 Sedimentology, soil science, palaeontology, earth evolution

Groups & Labs CNR ISPC

Remote Sensing e Spatial Data Science Lab →

Publications

CNR IRIS platform →
ORCID →

Highlight

Minervino Amodio, A., Danese, M., Gioia, D. (2024). Past, Present and Climate Change Scenarios: Investigating Erosion Risk on Archaeological Heritage in the Sinni Valley (Basilicata, Italy). In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science, vol 14819. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-65282-0_27

Minervino Amodio, A., Corrado, G., Gallo, I. G., Gioia, D., Schiattarella, M., Vitale, V., & Robustelli, G. (2024). Three-Dimensional Rockslide Analysis Using Unmanned Aerial Vehicle and LiDAR: The Castrocucco Case Study, Southern Italy. Remote Sensing, 16(12), 2235. DOI: https://doi.org/10.3390/rs16122235

Gioia, D., Corrado, G., Minervino Amodio, A. et al. (2024) Multi-temporal morphological analysis coupled to seismic survey of a mass movement from southern Italy: a combined tool to unravel the history of complex slow-moving landslides. Nat Hazards 120, 13407–13432. DOI: https://doi.org/10.1007/s11069-024-06751-6

CV ITA