Advancing AI Literacy Lessons


Earth Under Observation: Exploring AI, Satellites, and Land Cover

Environmental Science | 9-12
Duration: 60 minutes
Author: Gary Leary, Science Department and Instructional Technology Chair

In this environmental science lesson, students explore how artificial intelligence (AI) and remote sensing technologies, such as satellite imagery, are used to detect and classify deforestation. Using geographic information systems (GIS), students analyze environmental changes caused by human activity and reflect on the role of technology in monitoring ecosystems. Through hands-on image sorting and guided discussion, they begin to understand how spectral data and machine learning models automate land cover classification. The lesson encourages students to think critically about the scale of environmental monitoring and the ethical implications of using AI to make decisions about land use and conservation.

Lesson Objectives

  • Identify patterns of land cover in satellite images to distinguish between forested and deforested areas.
  • Describe how remote sensing and GIS technologies are used to monitor environmental changes over time.
  • Analyze satellite imagery datasets to detect trends in deforestation and correlate them with human activities.

Essential Questions

  • What can satellite images tell us about changes in Earth’s surface over time?
  • How do remote sensing and GIS technologies help scientists monitor deforestation?
  • What patterns or clues in satellite imagery suggest human impact on forested areas?
  • Why is it important to use technology like AI and GIS to study environmental changes?