At a Glance

Name: Predict Sea-Rise Risks with Geospatial APIs
Price: Free CAD
Rating: 4.9 (9 reviews)

This project is part of IBM's Environmental Intelligence, using geospatial APIs to predict sea-level rise 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. In this project, you will use Python to visualize high-risk coastal areas and gain practical disaster preparedness and urban planning skills while exploring the intersection of technology and environmental science.

Exploring Environmental Intelligence with Geospatial APIs to Predict Sea-Level Rise Risks

In this guided project, you will dive into environmental intelligence by leveraging geospatial APIs to predict sea-level rise risks. These geospatial APIs offer a comprehensive repository of geospatial and temporal data, along with an advanced analytics engine capable of executing complex queries. By the end of this project, you will have used Python to visualize high-risk coastal areas, gaining invaluable skills in disaster preparedness and urban planning while exploring the exciting intersection of technology and environmental science.

This project is part of IBM Environmental Intelligence, which empowers individuals and organizations with the knowledge and tools to tackle environmental challenges. Understanding and predicting sea-level rise is crucial for mitigating the adverse effects on coastal communities and ecosystems. By participating in this project, you will be contributing to a larger effort to promote sustainable development and resilience in the face of climate change.

NOTE:
You will have to sign up for the API keys for this project at:
https://www.ibm.com/products/environmental-intelligence/ei-devconsole-geospatial
For questions regarding the setup guide email ei@watson-media.zendesk.com

What You'll Learn

After completing this project, you will:

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

To successfully complete this guided project, you will 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.

Embark on this journey to enhance your technical skills while positively impacting the environment. By the end of this project, you will be well-equipped to address complex environmental challenges using cutting-edge technology.

Offered By: IBMSkillsNetwork

Predict Sea-Rise Risks with Geospatial APIs

At a Glance

Exploring Environmental Intelligence with Geospatial APIs to Predict Sea-Level Rise Risks