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Disaster Detection AI

Automated detection of disaster-related changes from satellite imagery

By automatically detecting changes on the earth's surface caused by flooding or landslides in disaster-affected areas, it is possible to understand the extent of damage and prioritize recovery activities.

Do you face these challenges
related to disaster response and situational assessment?

  • Inability to efficiently assess the full scope of the disaster area
  • Difficulty assessing disaster damage at night, in severe weather, or when on-site access is limited
  • Shortage of personnel leads to significant time and effort required for data collection and analysis

By leveraging "Disaster Detection AI ",
wide areas can be monitored regularly
through automated analysis of satellite imagery

Disaster Detection AI : Three Key Features

Space Shift's Disaster Detection AI uses satellite data to automatically detect areas affected by flooding and landslides. By analyzing a designated area, it enables efficient assessment of the extent of flooding and identification of areas where landslides have occurred.

01

Comprehensive situational awareness of extensive disaster zones in a single view.

Satellites can capture hundreds of kilometers in a single pass. By monitoring areas ranging from individual municipalities to multiple cities at once, you can perform wide-area surveys and regional comparisons with maximum efficiency.

02

Disaster monitoring unaffected by night-time or severe weather conditions

By utilizing SAR satellite data, which allows for observation even at night or in severe weather, we can detect disaster-affected areas even in situations where on-site inspections or aerial observations are difficult.

03

Enables assessment of damage even in areas where physical access is impossible.

Disaster conditions can be assessed from satellite data even in inaccessible mountainous regions or areas restricted due to the risk of secondary disasters. These insights are available for prioritizing recovery efforts and conducting post-disaster evaluations.

Feel free to contact us about our Disaster Detection AI.

Disaster Detection AI Packages

Leveraging SAR satellite data and AI to automatically detect flooded and landslide areas within specified regions.

Analysis Packages

This service helps assess the scope and scale of disaster impacts in any area covered by satellite observation data.

JPY 990,000 per analysis ~

  • Analysis available from a single satellite image
  • Providing the extent of AI-detected disasters (flooding and landslides) as specified.
  • Standard delivery within 30 days of data acquisition
  • Express option: Delivery within 1 business day of data acquisition
  • Satellite data acquisition fees excluded
Options
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System Integration

Now Planning...

Seamlessly integrate with your internal systems to automate the delivery of analysis results.

-- / month

  • Output of standardized analysis results
  • Connect to your environment via API and Conversational AI (MCP) integration.
  • Supports scheduled updates and automated execution at any timing.
  • Integrates seamlessly into your existing workflows.
  • Customized non-standard analysis available upon request.

The above is under review and subject to change.
Please contact us for individual requests.

Analytics Dashboard

Now Planning...

Instant access to results via your browser.

-- / month

  • Output of standardized analysis results
  • Instant access to analysis results via a dedicated Web UI.
  • Intuitive, user-friendly operation—perfect for seamless internal sharing.
  • Eliminate the need for complex system integration and ongoing maintenance.
  • Customized non-standard analysis available upon request.

The above is under review and subject to change.
Please contact us for individual requests.

Use Cases: Disaster Detection AI

Case1

Flood Inundation

Detects flood extent using single-image feature analysis, supporting Capella, ALOS, and Sentinel-1. Optional analysis for inundation depth is also available, leveraging your specific terrain data or open-source topographic data.

Case2

Landslide Detection

Detects landslide locations by comparing ALOS-2 data from before and after the disaster. We provide the landslide probability (confidence level) estimated by our AI.

If you have any questions regarding the use of our Disaster Detection AI, please feel free to contact us.

Frequently Asked Questions

Q Q: What is the turnaround time for analysis results?

A A: Generally within 30 days after data acquisition. With our Express Option, we provide analysis results within 1 business day of receiving the data.

Q Q: What types of objects can be detected?

A A: We can detect flood extent, inundation depth, and landslide locations.

Q Q: What is the geographic coverage of your analysis?

A A: Analysis is possible anywhere on Earth, provided that satellite data is available for that specific area and timeframe. Before ordering, please feel free to contact us; we can verify whether your area of interest is detectable.

Q Q: What is required for inundation depth analysis?

A A: Analysis is performed by either using terrain data (DEM) provided by the client or by our team acquiring the necessary data.

Should you have any questions about utilizing our Disaster Detection AI, please do not hesitate to contact us.