Predict Sea-Rise Risks with Geospatial APIs
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Learn how to predict sea-rise risks using geospatial APIs. Understand how to work with geospatial data to model sea level rise, assess flood risks, and make informed decisions about climate change impact and disaster preparedness.
At a Glance
Learn to predict the risks of a rise in sea level using geospatial APIs. Featuring IBM Environmental Intelligence APIs, this project helps you predict sea levels, visualize data, and assess risks. These geospatial APIs provide a repository of geospatial and temporal data, along with an analytics engine capable of executing complex queries to uncover relationships between different data layers. You will use Python to visualize high-risk coastal areas, understand potential impacts, and plan for changes by leveraging the intersection of technology and environmental science.
Exploring Environmental Intelligence with Geospatial APIs to Predict Sea-Level Rise Risks
Note: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.
What you’ll learn
- Understand the fundamentals of geospatial APIs and how they can be utilized for environmental intelligence.
- Learn how to use Python to interact with geospatial APIs and visualize data.
- Develop skills in identifying and analyzing high-risk coastal areas for sea-level rise.
- Gain practical experience in disaster preparedness and urban planning using data-driven insights.
What you’ll need
- Basic knowledge of Python programming.
- Access to the IBM Skills Network Labs environment, which comes pre-installed with necessary tools like Docker.
- A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.
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