Monitoring report:
Mina Escondida's Career
Mina Escondida, Antofagasta, Chile
Coordinates: 24°17'46.7"S 69°04'15.9"W
April 2026
Monitoring report:
Executive summary
Objective
This analysis demonstrates how satellite intelligence can be used to monitor large-scale mining operations, using Mina Escondida in the Antofagasta Region as a case study. The focus is on identifying and assessing key infrastructure components, including the tailings storage facility, processing plant, slurry pipeline, and port logistics chain.
Data sources
- High-Resolution (Hi-Res) Imagery: High-resolution optical data (sub-meter to 3 m) used for detailed inspection of infrastructure elements, including: processing facilities, pipeline corridors, localized disturbances (e.g., excavation or repair zones).
- Sentinel-2 (ESA, Copernicus): multispectral imagery applied for: surface change detection, monitoring of tailings storage expansion, identification of water bodies and sediment patterns
- Sentinel-1 (ESA, Copernicus): SAR data used for: structural and surface change detection, monitoring of moisture and potential leakage zones, analysis independent of weather conditions.
- DEM / SRTM: Digital Elevation Models applied for: terrain analysis, drainage and runoff modeling, assessment of slope stability and water flow paths.
- Open-source and ancillary data: used for general infrastructure mapping and contextual interpretation of mining operations.
Coordinates: 24°17'46.7"S 69°04'15.9"W
Key findings
At Mina Escondida, the open-pit area was analyzed using available DEM data to assess terrain changes and surface dynamics.
The tailings storage facility was evaluated in terms of fill level, with additional analysis of runoff pathways, dam erosion risks, and potential damage zones.
The slurry pipeline corridor was monitored to identify maintenance activities and areas of potential structural vulnerability.
Port logistics near Antofagasta were analyzed to assess material transport and export operations.
Functional zones of the demo product
The analysis focuses on three core components of the mining system at Mina Escondida: the open-pit mine, the slurry pipeline, and the port infrastructure near Antofagasta.
These elements form a single continuous production and logistics chain, where material is extracted, processed, transported, and exported.
Analyzing these components separately provides only partial insight, as operational risks and inefficiencies often emerge at the interfaces between them — particularly along the transport corridor.
Satellite-based monitoring enables continuous observation of all three zones, capturing terrain changes, pipeline disturbances, and port activity without reliance on ground inspections. This integrated approach allows early detection of potential disruptions and supports proactive risk management.
/
Mine analysis based on elevation data
Coordinates: 24°13'02.5"S 69°03'03.8"W
Open-pit terrain was analyzed using high-resolution DEM and SRTM models. DEM captures fine details such as slopes and pit depth, while SRTM provides broader regional context, enabling detection of terrain changes and supporting operational and environmental monitoring.
Tailings storage facility fill analysis
Coordinates: 24°25'10.5"S 69°07'46.1"W
Analysis performed using Sentinel-2 multispectral and Sentinel-1 SAR imagery, enabling monitoring under varying weather conditions.
Current fill levels and water coverage mapped to assess storage capacity and operational status. Temporal analysis tracks changes over time, supporting early detection of deviations from expected conditions and informed operational decision-making.
Satellite-based monitoring ensures continuous oversight without the need for frequent ground inspections.
Hydrological and erosion assessment of tailings facility
Coordinates: 24°25'10.5"S 69°07'46.1"W
Runoff pathways were analyzed using DEM and satellite imagery to model water flow across the tailings facility.
Potential erosion zones along the dam and embankments were identified.
Localized areas of structural stress or damage were highlighted to prioritize inspections.
This analysis supports risk management, operational planning, and early mitigation of dam-related hazards.
Satellite monitoring enables continuous observation without reliance on ground inspections, even under variable weather conditions.
Tailings dam structural damage analysis
Coordinates: 24°23'23.7"S 69°07'26.2"W
18 June 2022: satellite imagery shows the dam in normal condition, with smooth surfaces and no visible anomalies. 30 August 2023: minor surface cracks and localized damage appear on the dam crest and slopes. Comparison highlights early-stage structural changes, allowing timely maintenance and risk mitigation. Satellite monitoring provides continuous observation without relying on frequent ground inspections.
Settling ponds monitoring
Coordinates: 24°14'06.0"S 69°08'57.4"W
Analysis performed using Sentinel-2 imagery with calculation of the NDMI (Normalized Difference Moisture Index).
NDMI was used to assess moisture levels and water presence within settling ponds.
Index values allowed clear differentiation between water, wet sediments, and dry surfaces.
Spatial patterns indicate pond activity, drying zones, and sediment accumulation.
This approach supports efficient monitoring of pond condition and operational processes using satellite data.
Slurry pipeline: maintenance activity detection
Coordinates: 24°04'39.5"S 69°29'45.3"W
The 2020 image shows the pipeline corridor in a stable condition, with no visible disturbances. The 2023 image reveals localized ground disturbance and excavation, indicating maintenance or repair works. Detected changes highlight infrastructure intervention zones and potential vulnerability points.
Satellite monitoring enables tracking of maintenance activities and supports infrastructure risk assessment.
Port activity and maritime logistics
Coordinates: 23°45'43.6"S 70°28'09.2"W
The 2020 image shows the pipeline corridor in a stable condition, with no visible disturbances. The 2023 image reveals localized ground disturbance and excavation, indicating maintenance or repair works. Detected changes highlight infrastructure intervention zones and potential vulnerability points.
Satellite imagery was used to monitor port operations at Puerto Coloso.
Vessel presence and movement patterns indicate active export of mining products. Ship positions highlight loading areas and port utilization intensity.
Identified routes reflect key maritime pathways supporting the mining supply chain.
Satellite monitoring enables continuous tracking of port activity and logistics performance.
Remote power system monitoring: mine & pipeline
Coordinates: 23°50'14.3"S 69°53'41.9"W
Integrating satellite monitoring with SCADA creates a high-fidelity "digital twin" of the power system, merging a global overview with real-time technical depth. This synergy provides a crystal-clear picture of the entire infrastructure, allowing for the precise localization of faults or panel soiling with meter-level accuracy across the vast pipeline route. By eliminating blind spots and streamlining emergency response, this dual approach drastically reduces OPEX and ensures the uninterrupted flow of operations.
Core Storage Monitoring
Coordinates: 24°14'44.4"S 69°05'49.2"W
The digital twin enables real-time remote tracking of storage capacity, allowing managers to monitor rack occupancy and plan logistics without being on-site. By integrating 3D visualization with the central database, the system provides instant localization of available space and automates inventory management for thousands of core samples.
EOS SAT Monitoring: change detection & tailings analysis
Coordinates: 24°13'07.4"S 69°03'37.2"W
High-resolution EOS SAT imagery enables automated change detection across the mine site, providing real-time oversight of infrastructure and earthworks. The precision of the panchromatic channel allows for accurate tracking of tailings storage facility (TSF) levels and water boundaries, ensuring remote safety monitoring and capacity management.
Hyperspectral surface moisture assessment (EMIT)
Coordinates: 24°25'10.5"S 69°07'46.1"W
This image presents a Principal Component Analysis (PCA) map of the Tailings Storage Facility (TSF) derived from EMIT hyperspectral data. The visualization provides a deep insight into the surface characteristics that are invisible to the naked eye:
- Active Discharge Zones (Yellow): Highlights fresh tailings pulp characterized by high moisture content and secondary sulfates (e.g., jarosite, gypsum).
- Stabilized & Oxidized Tailings (Orange/Brown): Identifies weathered, dry materials with high iron oxide content (hematite, goethite), essential for dust management protocols.
- Moisture Dynamics: By comparing imagery from November 2023 and June 2026, the system tracks the migration of the saturation front and the expansion of the decant pond.
- Strategic Advantage: This level of hyperspectral monitoring allows for precise seepage detection and structural integrity assessment without on-site sampling.
Legend for Tailings Storage Facility (TSF) PCA Map
- Active discharge zone: Fresh tailings pulp, secondary sulfates (e.g., jarosite, gypsum), high moisture content.
- Cone periphery: Clay minerals, fine-grained sediments, transition zone.
- Stabilized tailings: Oxidized areas, high iron oxide content (hematite, goethite), weathered material.
- Decant pond / tailings pond: Bedrock geology, native sands, areas unaffected by the facility.
- Background / host rock: Deep standing water or saturated sludge, low reflectance zone.
Mine analysis based on elevation data
Coordinates: 24°13'02.5"S 69°03'03.8"W
Open-pit terrain was analyzed using high-resolution DEM and SRTM models. DEM captures fine details such as slopes and pit depth, while SRTM provides broader regional context, enabling detection of terrain changes and supporting operational and environmental monitoring.
Tailings storage facility fill analysis
Coordinates: 24°25'10.5"S 69°07'46.1"W
Analysis performed using Sentinel-2 multispectral and Sentinel-1 SAR imagery, enabling monitoring under varying weather conditions.
Current fill levels and water coverage mapped to assess storage capacity and operational status. Temporal analysis tracks changes over time, supporting early detection of deviations from expected conditions and informed operational decision-making.
Satellite-based monitoring ensures continuous oversight without the need for frequent ground inspections.
Hydrological and erosion assessment of tailings facility
Coordinates: 24°25'10.5"S 69°07'46.1"W
Runoff pathways were analyzed using DEM and satellite imagery to model water flow across the tailings facility.
Potential erosion zones along the dam and embankments were identified.
Localized areas of structural stress or damage were highlighted to prioritize inspections.
This analysis supports risk management, operational planning, and early mitigation of dam-related hazards.
Satellite monitoring enables continuous observation without reliance on ground inspections, even under variable weather conditions.
Tailings dam structural damage analysis
Coordinates: 24°23'23.7"S 69°07'26.2"W
18 June 2022: satellite imagery shows the dam in normal condition, with smooth surfaces and no visible anomalies. 30 August 2023: minor surface cracks and localized damage appear on the dam crest and slopes. Comparison highlights early-stage structural changes, allowing timely maintenance and risk mitigation. Satellite monitoring provides continuous observation without relying on frequent ground inspections.
Settling ponds monitoring
Coordinates: 24°14'06.0"S 69°08'57.4"W
Analysis performed using Sentinel-2 imagery with calculation of the NDMI (Normalized Difference Moisture Index).
NDMI was used to assess moisture levels and water presence within settling ponds.
Index values allowed clear differentiation between water, wet sediments, and dry surfaces.
Spatial patterns indicate pond activity, drying zones, and sediment accumulation.
This approach supports efficient monitoring of pond condition and operational processes using satellite data.
Slurry pipeline: maintenance activity detection
Coordinates: 24°04'39.5"S 69°29'45.3"W
The 2020 image shows the pipeline corridor in a stable condition, with no visible disturbances. The 2023 image reveals localized ground disturbance and excavation, indicating maintenance or repair works. Detected changes highlight infrastructure intervention zones and potential vulnerability points.
Satellite monitoring enables tracking of maintenance activities and supports infrastructure risk assessment.
Port activity and maritime logistics
Coordinates: 23°45'43.6"S 70°28'09.2"W
The 2020 image shows the pipeline corridor in a stable condition, with no visible disturbances. The 2023 image reveals localized ground disturbance and excavation, indicating maintenance or repair works. Detected changes highlight infrastructure intervention zones and potential vulnerability points.
Satellite imagery was used to monitor port operations at Puerto Coloso.
Vessel presence and movement patterns indicate active export of mining products. Ship positions highlight loading areas and port utilization intensity.
Identified routes reflect key maritime pathways supporting the mining supply chain.
Satellite monitoring enables continuous tracking of port activity and logistics performance.
Remote power system monitoring: mine & pipeline
Coordinates: 23°50'14.3"S 69°53'41.9"W
Integrating satellite monitoring with SCADA creates a high-fidelity "digital twin" of the power system, merging a global overview with real-time technical depth. This synergy provides a crystal-clear picture of the entire infrastructure, allowing for the precise localization of faults or panel soiling with meter-level accuracy across the vast pipeline route. By eliminating blind spots and streamlining emergency response, this dual approach drastically reduces OPEX and ensures the uninterrupted flow of operations.
Core Storage Monitoring
Coordinates: 24°14'44.4"S 69°05'49.2"W
The digital twin enables real-time remote tracking of storage capacity, allowing managers to monitor rack occupancy and plan logistics without being on-site. By integrating 3D visualization with the central database, the system provides instant localization of available space and automates inventory management for thousands of core samples.
EOS SAT Monitoring: change detection & tailings analysis
Coordinates: 24°13'07.4"S 69°03'37.2"W
High-resolution EOS SAT imagery enables automated change detection across the mine site, providing real-time oversight of infrastructure and earthworks. The precision of the panchromatic channel allows for accurate tracking of tailings storage facility (TSF) levels and water boundaries, ensuring remote safety monitoring and capacity management.
Hyperspectral surface moisture assessment (EMIT)
Legend for Tailings Storage Facility (TSF) PCA Map
- Active discharge zone: Fresh tailings pulp, secondary sulfates (e.g., jarosite, gypsum), high moisture content.
- Cone periphery: Clay minerals, fine-grained sediments, transition zone.
- Stabilized tailings: Oxidized areas, high iron oxide content (hematite, goethite), weathered material.
- Decant pond / tailings pond: Bedrock geology, native sands, areas unaffected by the facility.
- Background / host rock: Deep standing water or saturated sludge, low reflectance zone.
Coordinates: 24°25'10.5"S 69°07'46.1"W
This image presents a Principal Component Analysis (PCA) map of the Tailings Storage Facility (TSF) derived from EMIT hyperspectral data. The visualization provides a deep insight into the surface characteristics that are invisible to the naked eye:
- Active Discharge Zones (Yellow): Highlights fresh tailings pulp characterized by high moisture content and secondary sulfates (e.g., jarosite, gypsum).
- Stabilized & Oxidized Tailings (Orange/Brown): Identifies weathered, dry materials with high iron oxide content (hematite, goethite), essential for dust management protocols.
- Moisture Dynamics: By comparing imagery from November 2023 and June 2026, the system tracks the migration of the saturation front and the expansion of the decant pond.
- Strategic Advantage: This level of hyperspectral monitoring allows for precise seepage detection and structural integrity assessment without on-site sampling.