Environmental Computational Science: Earth Observation

This lecture by the instructor focuses on the field of environmental computational science and earth observation, showcasing the use of machine learning models to monitor Earth through various data sources like satellites, drones, and GIS data. The lecture delves into the challenges and advancements in building accurate and scalable deep learning models for environmental monitoring, particularly in detecting plastic pollution in oceans and mapping coral reefs. It also emphasizes the integration of domain knowledge in species distribution models and the importance of combining scientific knowledge with machine learning approaches for effective environmental monitoring.