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Introduction to Remote Sensing and Drone Data Processing
This course provides students with a basic understanding of theories and techniques used in the processing and analysis of satellite and drone (i.e. Unmanned aircraft systems) data. Topics include image and sensor characteristics, information derived from satellite and drone data , and image interpretation and analysis.
Course Overview
Appropriate Language and/or Computational Skills.
1140 West Mission Road
NS
San Diego, CA 92069
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Learning Objectives
• Distinguish between different types of remote sensing systems and unmanned aircraft systems (UAS); • Identify the appropriate satellite and UAS sensors for the application under consideration; • Specify the strengths and limitations of various remote sensing systems and UAS; • Explain the basics of the electromagnetic spectrum; • Preprocess and analyze remote sensing and UAS data; • Implement and interpret the results from unsupervised classification, supervised classification, and other object based classification techniques; • Assess and document the spatial and attribute accuracy of remote sensing and UAS data; • Construct and analyze 3D terrain and building models created with Light Detection and Ranging (LiDAR) and UAS data.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.