Environmental Image Analysis

This lecture presents Valérie, a 25-year-old student from Sion, Valais, who pursued her interest in science, nature, and mathematics by specializing in Environmental Sciences. She discusses her master's project at the laboratory of environmental sciences, computational, and Earth observation, where she developed an algorithm to automate the production of land area statistics using aerial and satellite images. Valérie's project focused on improving the classification of challenging areas through deep learning algorithms, aiming to enhance the efficiency of image analysis processes. She highlights the importance of artificial intelligence and deep learning in streamlining labor-intensive tasks, such as image labeling, which previously required significant human effort. By automating these processes, the lecture emphasizes the potential of AI to optimize accuracy and update mapping data efficiently.