LandWatch | When Landslides Strike
New Delhi
The Challenge | When Landslides Strike
Design an easy-to-use tool to allow the public to discover and understand landslide data, and to contribute their own observations for use by emergency managers.
LandWatch
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LandWatch is a landslide prediction tool that uses rainfall and historical landslide data to pinpoint high-risk areas. It also aims to crowdsource data and provide a platform for alerts and to learn about landslides.
We aim to provide a tool that uses an algorithm to predict landslides and a platform for individuals to discuss and contribute to the management and prediction of such disasters.
The algorithm works as follows:
- Comb through datasets on rainfall and other factors that cause landslides.
- Use data about landslides that have previously occured in order to gauge threshold values for these factors.
- Get real-time (or near real-time data) to check against threshold values, and calculate chances of landslides happening based on the probability of these factors and display to the user whether they are in a high-risk, medium-risk, or low-risk area.
The platform also provides capabilities to work with first responders, for users to trigger emergency alerts, and a forum for members of the scientific community and the general public to interact with each other as well as help improve the tool.
The following datasets were used:
https://www.ncei.noaa.gov/data/gsom/archive/gsom-l... (Rainfall data)
https://data.nasa.gov/resource/tfkf-kniw.json (Landslide data)
SpaceApps is a NASA incubator innovation program.