TY - JOUR
T1 - Utilization of multi-sensor remote sensing technologies for open pit mine monitoring
AU - Falabella, Francesco
AU - Pepe, Antonio
AU - Ostir , Kristof
AU - Gubaidullina, Rushaniia
AU - Kozmus Trajkovski, Klemen
AU - Grigillo, Dejan
AU - Grabrovec, Veronika
AU - Hamza, Veton
AU - Pavlovcic Preseren, Polona
AU - Blaha, Hannes
AU - Claudia Teodoro, Ana
AU - Calo, Fabiana
N1 - Publisher Copyright: © 2025
PY - 2025/9/11
Y1 - 2025/9/11
N2 - Nowadays, Earth Observation (EO) sensors with different technical characteristics installed on various platforms can provide data for multiple applications. Integrating, combining and processing data for various mining-related applications is required to assist decision-making and process adaptation procedures. Moreover, jointly using different data sets or products created from various sources allows for increasing precision and overcoming inherent measurement uncertainties, thereby enhancing the reliability of the results. Our research shows the potential of an integrated multi-sensor/multi-wavelength SAR data monitoring system that implements an innovative model-aided Phase Unwrapping (PhU) approach for generating ground displacement maps and time series in critical open pit mining areas. This allows us to mitigate the risk associated with rock falls and instabilities that can lead to severe damage to workers and neighbourhoods. Furthermore, the study also points out that jointly using Unmanned Aerial Vehicle (UAV) and spaceborne optical data is valuable to remotely estimate stockpile volume changes with enhanced accuracy and precision, supporting the mining companies’ management.
AB - Nowadays, Earth Observation (EO) sensors with different technical characteristics installed on various platforms can provide data for multiple applications. Integrating, combining and processing data for various mining-related applications is required to assist decision-making and process adaptation procedures. Moreover, jointly using different data sets or products created from various sources allows for increasing precision and overcoming inherent measurement uncertainties, thereby enhancing the reliability of the results. Our research shows the potential of an integrated multi-sensor/multi-wavelength SAR data monitoring system that implements an innovative model-aided Phase Unwrapping (PhU) approach for generating ground displacement maps and time series in critical open pit mining areas. This allows us to mitigate the risk associated with rock falls and instabilities that can lead to severe damage to workers and neighbourhoods. Furthermore, the study also points out that jointly using Unmanned Aerial Vehicle (UAV) and spaceborne optical data is valuable to remotely estimate stockpile volume changes with enhanced accuracy and precision, supporting the mining companies’ management.
KW - Differential Synthetic Aperture Radar Interferometry (DInSAR)
KW - Global Navigation Satellite System (GNSS)
KW - Mining monitoring
KW - Remote sensing
KW - Satellite photogrammetry
KW - Unmanned Aerial Vehicles (UAV)
UR - https://www.scopus.com/pages/publications/105015529454
U2 - 10.1016/j.jag.2025.104834
DO - 10.1016/j.jag.2025.104834
M3 - Article
SN - 1872-826X
VL - 2025
JO - International Journal of Applied Earth Observation and Geoinformation
JF - International Journal of Applied Earth Observation and Geoinformation
IS - Volume 143, September
M1 - 104834
ER -