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GEOSPACE

Team members:

Hristo Slavov, Iva Yaneva, Rumen Tonev and Yanko Tsigularov

Team:

Slide Another Day

Challenge:

Identifying risk with science + communities

Project:

We developed a web application, that combines NASA’s satellite data and ground-based data from local authorities in a landslide susceptibility map.

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Main objectives and achievements

What we wanted to achieve:

  • To create a suitable environment for data exchange and collaboration between NASA and local institutions
  • To improve access to data and risk assessment for the general public
  • To improve disaster readiness, regardless of community resources
  • To reach globally

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What we achieved:

  • Incorporated EOSDID data in our model
  • Provided a quick and straight-forward way for inputting ground-based data locally to improve the accuracy of the analysis
  • Deployed a model, that quickly identifies high-risk areas in order to allow for a preemptive response to landslide hazard
  • Provided a model, that can work even without local input
  • Ensured global coverage, thanks to low cost and global data from NASA
  • Created a way for local authorities without a proper landslide inventory to monitor the region

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WHAT MAKES OUR PROJECT STAND OUT

  • We used Analytic Hierarchy Process (AHP) for susceptibility determination to allow a risk assessment in areas with insufficient data
  • GeoSpace can be used globally thanks to NASA’s extensive earth observation data

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EVERYONE CAN CONTRIBUTE WITH A FEW CLICKS

The application will not only be useful to the public but will encourage the people to contribute to the accuracy and continuous enhancement of the model.

  • Simple and user-friendly UI with the option to browse and report in just two steps
  • Five-stage risk scale for a clear understanding
  • In future – automatic geocoding

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GEOSPACE IN ACTION

The application will not only be useful to the public but will encourage the people to contribute to the accuracy and continuous enhancement of the model.

  • Simple and user-friendly UI with the option to browse and report in just two steps
  • Five-stage risk scale for a clear understanding
  • In future – automatic geocoding

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UPGRADE PLANS

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  • Automatic geocoding
  • Notifications for registered users for risk assessment changes
  • Several matrices for different situations

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THANK YOU FOR YOUR TIME

What we wanted to achieve:

  • To create a suitable environment for data exchange and collaboration between NASA and local institutions
  • To improve access to data and risk assessment for the general public
  • To improve disaster readiness, regardless of community resources
  • To reach globally

​

What we achieved:

  • Incorporated EOSDID data in our model
  • Provided a quick and straight-forward way for inputting ground-based data locally to improve the accuracy of the analysis
  • Deployed a model, that quickly identifies high-risk areas in order to allow for a preemptive response to landslide hazard
  • Provided a model, that can work even without local input
  • Ensured global coverage, thanks to low cost and global data from NASA
  • Created a way for local authorities without a proper landslide inventory to monitor the region