Dr. Shi Qiu

Dr. Shi Qiu

he/his

Land Change Scientist
Foundational Algorithm Developer
Research Assistant Professor
in Remote Sensing

Teaching

Remote Sensing Image Processing

Graduate course, University of Connecticut, Department of Natural Resources and the Environment, 2025

Remote sensing image processing will focus on various kinds of remote sensing image processing techniques, primarily using optical satellite imagery. The course covers a variety of related topics that include the physical processes involved in remote sensing and various kinds of image-processing methods. The labs will be primarily focused on how to use the image processing software (e.g., ENVI) to analyze remotely sensed imagery.

Remote Sensing of Environment

Graduate course, University of Connecticut, Department of Natural Resources and the Environment, 2022

This introductory course provides a solid foundation in remote sensing science and technology. Students will examine a range of remote sensing sensors and their applications in environmental studies, while gaining essential skills in data analysis using specialized software. Topics include the principles of electromagnetic radiation, spectral reflectance, Earth observation platforms and sensors, image processing methods, and multidisciplinary applications. The course combines theory and practice to prepare students for effectively applying remote sensing in real-world problem solving.