Introduction to Remote Sensing Analysis

Undergraduate / Graduate

Remote sensing is the process of taking measurements of the earth's surface through sensors such as satellites or drones. The analysis of remote sensing data helps address critical challenges in areas like natural resource modeling and socio-economic or environmental analysis, such as responding to natural disasters, measuring urbanization through night lights, or tracking deforestation. This course introduces concepts and methods for visualizing, processing, and analyzing remotely sensed data. It covers topics such as sources and types of data, data access and management, image interpretation, and modeling. Students will gain experience applying these techniques to real-world scenarios. By the end of the course, they will have a solid foundation in remote sensing analysis, equipping them with skills for research and work in fields such as urban development, conservation, and resource management.