Environmental Computational Science: Earth Observation

This lecture by the instructor covers the field of environmental computational science and earth observation, focusing on the development of accurate and scalable deep learning models for environmental monitoring. The lecture discusses the integration of domain knowledge in species distribution models, the use of machine learning in monitoring coral reefs and forests, and the application of deep learning in detecting plastic pollution in oceans. It also explores the importance of knowledge-driven approaches in machine learning and the advancements in language understanding for enhanced image search.