Applied Remote Sensing of the Earth

3-0-9 units · Graduate

Introduction to Earth observation satellites and modern computational tools for environmental monitoring. Covers a range of sensing modalities and resolutions, including multispectral, hyperspectral, thermal, radar, and lidar measurements from sub-meter to kilometer scales. Overview of remote sensing applications to the land (vegetation, soil, flooding, human development) and atmosphere (air pollution, greenhouse gases, weather). Analysis techniques include spectral image interpretation, time series analysis, inverse methods, and machine learning. Assignments require students to use cloud computing tools including Google Earth Engine. Familiarity with linear algebra, calculus, probability and stats, and Python programming encouraged. Senior undergraduates may register with permission of instructor.