Railway Infrastructure Monitoring
Monitor Rail Infrastructure from Space
Satellites scan wide areas to spot early signs of change, supporting safe railway operations
Service
Overview
Landslide risks near rail lines, exposed soil from vegetation loss and other subtle changes that may affect rail infrastructure safety can be easily overlooked by patrols or visual inspections alone.
This service uses satellite data to monitor wide areas along railway corridors on a regular basis.
By detecting changes in land cover (i.e., the surface condition of the Earth) and related anomalies, the system automatically identifies areas that may require attention and notifies users via email or other alert channels.
With satellite-based monitoring, even remote or hard-to-access locations can be observed quickly and reliably, enabling early action against unexpected changes.
Expected
Benefits
See what’s hard to spot: Detect subtle changes around railway infrastructure from space.
-
Satellite data enables regular, wide-area monitoring, even in locations where routine inspections are difficult. It is especially effective after large-scale events like heavy rain or typhoons.
-
By confirming areas are in normal condition, on-site inspections can be reduced, thereby improving overall efficiency.
-
The system detects changes in surface conditions, soil anomalies, and changes in vegetation, automatically alerting users to areas that may pose a risk to infrastructure or safety.
-
Multiple onboard sensors on the satellite capture changes that are difficult to notice with the human eye, offering early clues for preventative measures.
Service Flow
Setup
Monitoring
We identify "risk areas that are likely to impact railway safety," such as locations prone to becoming muddy due to rain or areas where slopes are at risk of collapsing.
Taking into account satellite performance, observation frequency, and costs, we select the most optimal monitoring points.
To enable regular data collection, the monitoring points are registered in the system.
By analyzing time-series data from past observations at each monitoring point, we create a model that represents how the area has changed over time, accounting for seasonal trends.
Latest satellite data is acquired regularly to check for changes.
By comparing it against historical records, the system analyzes whether any unusual changes have occurred.
If anomalies are detected, users are promptly notified via on-screen alerts or email.
Click here to inquire about this service.