Analyze Forest Cover Loss by Wildfires with Geospatial APIs
Study how to analyze forest cover loss due to wildfires using geospatial APIs. Learn to assess and visualize the impact of fires on forest ecosystems and develop strategies for conservation and environmental protection.
At a Glance
Analyze data to assess wildfire impacts, visualize forest loss, and understand environmental changes. Use geospatial APIs to determine the change in Above Ground Biomass (AGB). Leverage a rich repository of geospatial and temporal data, along with an advanced analytics engine capable of executing complex queries to uncover relationships between different environmental factors. You will use Python to visualize wildfire-affected areas and leverage the power of technology to better understand the environmental impacts.
When you complete this project, you’ll understand how to use Python to visualize changes in the Above Ground Biomass (AGB) in wildfire-affected areas and assess the extent of forest loss. You’ll gain valuable skills in environmental impact analysis, disaster recovery, and the intersection of technology and environmental science. This hands-on experience will give you insight into sustainable forestry management and ecosystem protection techniques, which are crucial for mitigating the impacts of climate change.
This project features IBM Environmental Intelligence APIs, empowering individuals and organizations to address pressing environmental challenges with data-driven insights. By understanding and analyzing forest loss due to wildfires, you contribute to sustainable land stewardship and environmental resilience. Build the skills you need to be part of the movement towards responsible land management and a more sustainable future.
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 their role in environmental intelligence.
- Learn how to use Python to interact with geospatial APIs and visualize data.
- Develop skills in identifying and analyzing areas affected by forest loss from wildfires.
- Gain practical experience in environmental impact assessment and disaster recovery 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 such as 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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