What are the applications of AI in remote sensing?
AI is used in remote sensing for image analysis, land cover classification, and environmental monitoring.
Can you give me examples of specific AI techniques used?
Sure! Techniques like deep learning, neural networks, and computer vision are commonly applied.
How does AI improve the accuracy of remote sensing data?
AI enhances accuracy by automating data processing and reducing human error in interpretation.
What industries benefit the most from AI in remote sensing?
Industries like agriculture, forestry, urban planning, and disaster management benefit significantly.
Are there any challenges in implementing AI in remote sensing?
Yes, challenges include data quality, computational costs, and the need for large labeled datasets.
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