Remote Sensing Image Analysis and Applications

Catalog description

GEOG 883 focuses on the use of medium and high resolution remotely-sensed imagery and elevation data in geospatial applications. This course assumes that students have prior knowledge in the basics of remote sensing, mapping, and GIS, and that they have prior experience with commonly used geospatial software. In GEOG 883 , students will develop mastery of the tools and techniques used to display, process, and analyze remotely sensed data. Upon completion of GEOG 883 students will be able to develop analytical workflows to derive products and extract information from remotely sensed data for a broad range of applications using both pixel-based and object-based approaches. GEOG 883 Remote Sensing for the Geospatial Intelligence Professional (3)Topic: Geospatial intelligence (GEOINT) leverages geographic information science and technology (including cartography, geographic information systems, remote sensing, and global positioning systems) with intelligence tradecraft to develop intelligence products that support national security, disaster response, and international relief efforts. Course Objectives: GEOG 883 cultivates students' knowledge of the capabilities and limitations of digital remote sensing instruments, processing systems, and derived data products. It helps students master basic skills needed to leverage these data sources and information products in the context of geospatial intelligence tradecraft. Student Activities: The course consists of eight lessons and one capstone group project that will span either the 15-week semester or the combined 12-week summer sessions. Each lesson will require approximately 10 hours of student activity. Student activities will include reading lesson text, online quizzes, and discussions about the ways in which remote sensing sciences is applied to geospatial intelligence analysis.