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AI-Powered Remote Sensing and Geospatial Intelligence (AI-GEOINT) Essentials
The "AI-Powered Remote Sensing and Geospatial Intelligence (AI-GEOINT) Essentials" course provides professionals with the tools to leverage artificial intelligence in processing satellite imagery, LiDAR, radar, and multispectral data for strategic insight. Participants will learn how machine learning enhances target recognition, environmental analysis, and real-time mission support. The course also addresses cybersecurity threats to geospatial systems, such as adversarial model manipulation and data spoofing. You will gain essential skills to secure AI pipelines and ensure that critical geospatial intelligence remains authentic, tamper-proof, and mission-ready.
Course Overview
None
Learning Objectives
- Understand the fundamentals of AI in remote sensing and geospatial intelligence.
- Analyze various AI techniques for image processing and feature extraction.
- Evaluate the applications of AI-GEOINT in different domains.
- Identify the challenges and opportunities in AI-powered geospatial analysis.
- Learn about data security and ethical considerations in AI-GEOINT, impacting the cybersecurity of sensitive geospatial information.
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.