0 or 3 credits
Fall 2025 Lecture Laboratory Upper Division
Application of remote sensing and spatial databases for observing and managing land resources within the Earth System; analysis and interpretation of remotely sensed data in combination with field observations and other data sources; conceptualization and design of a global earth resources information system.
Learning Outcomes1Evaluate, analyze, and apply the fundamentals of remote sensing related to sensor technologies, Multispectral/hyperspectral imaging, active and passive radar, LIDAR, GPS, preprocessing of remote sensing image data, Radiometric and geometric correction, data enhancement for visual interpretation, extraction of information from data, spatial and spectral feature extraction for analysis, Unsupervised and supervised classification, terrain modeling and sources of remote sensing data/information.
Prerequisites
Restrictions
made by Purdue students.