GEIS 210 - Remote Sensing

Credits: 3
This course provides an in-depth exploration of remote sensing technologies and their applications in environmental mapping and analysis. Students will gain a foundational understanding of the principles of light radiation behavior and detection, as well as the various satellite and airborne imaging systems used in remote sensing. The curriculum includes comprehensive coverage of image processing techniques, classification methods, and spatial data analysis derived from diverse sources, such as infrared thermal images, digital orthophotos, and satellite platforms in a lab setting. Through laboratory exercises and projects, students will gain proficiency in industry-standard image processing software. They will learn to acquire, process, analyze, and interpret remote sensing data for various environmental applications such as land use/land cover mapping, vegetation analysis, urban planning, and natural resource management. PREREQUISITES: GEIS101 COREQUISITES: GEIS201