In this lesson, students analyze satellite imagery to uncover patterns of deforestation over time and represent these changes using layered maps and overlays. Working in small groups, they trace forest cover from different years, compare overlays to identify areas of forest loss, and discuss possible causes based on spatial clues like roads or agricultural fields. Students then interpret the significance of these changes and predict future impacts on biodiversity, climate, and communities. The lesson also introduces how AI and machine learning are used to automate image classification and detect deforestation patterns at scale, prompting students to consider the strengths and limitations of technology compared to human observation.
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Instructional Considerations