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Summer 2022
Jul 07, 2022
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

GIS 406 - Advanced Remote Sensing
(3). Prerequisite: GY 302. Advanced techniques, data collection, and analytical methods using various types of remotely sensed data. These will include LiDAR data, Ground Penetrating Radar, and various types of multi-spectral data from satellites such as Landsat, Quickbird, Ikonos, SPOT, and others. Multi-spectral data will include: thermal, natural color (RBG), near to far-infared and others. This course will use various methodologies for collection, classification (supervised ad unsupervised), and analysis of digital data to accomplish change detection, Normalized difference Vegetation Index (NVD1), land use-land cover (LULC), etc. For graduate students, an additional project(s) to demonstrate mastery of advanced remote sensing skills is required. The student should then give a presentation on their project to the class and give a thorough discussion of the analytics used.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Hybrid (mostly on-campus), In-Person Instruction, Synchronous Online

Chemistry & Geosciences Division
Geographical Info Systems Department

Course Attributes:
4-year institution


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