A foundational introduction to AI in remote sensing.
Agriculture & Food Technology
Module-by-module breakdown of AI in Remote Sensing: Basics, from foundations to a certified capstone project.
Outline
What is Remote Sensing? โข Role of AI in Earth Observation โข Types of Remote Sensing Data: Satellite, Drone, and Sensors โข Applications of AI in Remote Sensing
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Images, Pixels, and Geospatial Data โข Types of Satellite Imagery โข Basics of Spatial and Temporal Data โข Importance of Data Quality
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Land Use and Land Cover Classification โข Environmental Monitoring and Change Detection โข Agriculture and Crop Monitoring โข Disaster Detection and Risk Assessment
Outline
Advantages of AI in Remote Sensing โข Handling Large-Scale Data โข Accuracy and Limitations โข Ethical and Responsible Use
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AI in Climate Monitoring and Smart Cities โข Emerging Trends in Geospatial AI โข Career Opportunities in Remote Sensing and AI โข Mini Learning Activity / Concept-Based Practice
e-Certificate and e-Marksheet issued on successful completion.