iamtekson/deep-learning-for-earth-observation
Application of deep learning for earth observation.
This project helps geographers, environmental scientists, and urban planners automatically analyze satellite and aerial imagery. It takes raw geospatial data, including optical and SAR images, and produces classifications and detections of features like land cover types, buildings, cars, swimming pools, and even identifies areas prone to landslides or floods. You would use this if you need to extract precise information from Earth observation data for monitoring, mapping, or disaster management.
125 stars. No commits in the last 6 months.
Use this if you need to automatically identify and map specific features or land cover types from satellite imagery for applications like environmental monitoring, urban planning, or disaster assessment.
Not ideal if your primary need is general image processing unrelated to geospatial data or if you require real-time, on-site sensor analysis.
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Last pushed
May 03, 2024
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