Offered By: IBMSkillsNetwork
Analyze Satellite Data to Investigate Plant Health
Use satellite data to analyze plant health and gain insights for sustainable agriculture and plant-health monitoring. Learn techniques for using geospatial APIs and a popular and accurate index to plan for precision agriculture, resource optimization, and sustainable food production. This hands-on project equips you to harness the latest geospatial technology to ensure a healthy plant ecosystem.
Continue readingGuided Project
Data Science
At a Glance
Use satellite data to analyze plant health and gain insights for sustainable agriculture and plant-health monitoring. Learn techniques for using geospatial APIs and a popular and accurate index to plan for precision agriculture, resource optimization, and sustainable food production. This hands-on project equips you to harness the latest geospatial technology to ensure a healthy plant ecosystem.
You will have access to a dataset of satellite images from publicly available source, such as NASA's Earth Observing System Data and Information System (EOSDIS) through easy to use Geospatial API provided by the IBM Environmental Intelligence. Using a simple programming environment like Python with libraries such as NumPy and Matplotlib, this project guides you through the process of extracting relevant spectral bands, calculating NDVI values, and visualizing the spatial distribution of plant health across a specific agricultural area. You'll learn how technology can transform raw satellite data into actionable insights for agriculture.
The project will highlight the scalability of satellite data analysis, showcasing how the same techniques can be applied to different regions or over time to track changes in vegetation health. You'll gain practical skills in data manipulation and visualization, empowering you to apply these methods in various fields that require environmental monitoring.
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.

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.
Estimated Effort
30 Minutes
Level
Beginner
Industries
Agriculture
Skills You Will Learn
API, Data Visualization, Environmental Intelligence, Geospatial, Python
Language
English
Course Code
GPXX064OEN