Monitor Water Levels and Soil Moisture with Geospatial APIs
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Learn how to monitor environmental factors such as water levels and soil moisture using geospatial APIs. Understand how to integrate API data into applications for real-time monitoring, weather prediction, and environmental management.
At a Glance
Visualize water levels, track vegetation health, and make better decisions for farming, urban planning, and environmental conservation using geospatial APIs. Learn to detect changes in water bodies and soil moisture, using Python to analyze satellite imagery, uncover patterns, and derive actionable insights from geospatial data.
- Monitor drought stress in crops and adjust irrigation to save water.
- Track seasonal water level changes in rivers and reservoirs to prepare for floods or shortages.
- Predict dry spells before they impact farming or natural ecosystems.
- Plan sustainable urban growth by monitoring the health of wetlands and water bodies.
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
- Visualizing water and moisture trends using Python and satellite data.
- Making data-driven decisions for irrigation, water management, and conservation efforts.
- Applying user-defined functions (UDFs) to simplify complex geospatial queries.
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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