Machine Learning on Earth System with Remote Sensing

This lecture by the instructor covers the use of machine learning in analyzing Earth system data obtained through remote sensing. Topics include the evolution of satellite imaging technology, the accessibility of Earth observation data, the importance of automatic image interpretation for disaster response, and the challenges in labeling image datasets. The lecture also delves into the concept of explainable AI for subjective problems, such as understanding factors related to beauty in landscapes using satellite images. Various techniques like active contour models and neural networks are discussed for image analysis and interpretation.