IBM has launched Call for Code in an attempt to empower and inspire software developers to help “Create applications that improve disaster preparedness, build resilient communities, and safeguard the health and well-being of individuals and institutions.” With the help of the worldwide community of software developers, The Linux Foundation, the United Nations Human Rights Office, and the American Red Cross, IBM hopes to mitigate the effects of natural disasters. But how to get started? IBM has developed code patterns to provide roadmaps for solving complex programming challenges. Each code pattern contains code, diagrams, and instructions to give you what you need to solve a problem.

For those answering the Call for Code, we created a code pattern to help predict wildfire intensity. This code pattern builds a predictive model using data from NASA and IBM Machine Learning. The data provided by NASA is high-quality, scientific data that is freely available thanks to the commitment of the space program and the taxpayers who fund it. Using information from FIRMS (Fire Information for Resource Management), we demonstrate how to build a predictive model with Watson Studio and IBM Watson Machine Learning. The satellites that circle the earth are able to capture the intensity of wildfires (and volcanoes as well!), and this information can be used for ML training. The predict wildfire code pattern walks you through the steps to build this, as well as an interactive map that provides the UI.

How will you answer the Call for Code? What can you do with Watson Studio and Machine Learning to help mitigate disasters? Get started with this code pattern.

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