Environment & Climate Change
Improving Monitoring, Management, and Response to Environmental and Climate Challenges.
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For Environment & Climate Change
Monitoring environmental quality (air, water), early warning for natural disasters, resource management (forests, water), and carbon emission tracking.
Smart Environmental Monitoring Systems (AI & IoT)
Utilizing a network of sensors and AI to continuously monitor air and water quality in real-time, automatically issuing alerts when pollution levels exceed thresholds.
Key Benefits: Protecting public health and providing data for environmental management.
AI-Powered Analysis of Remote Sensing/Drone Imagery
Using AI to analyze images from satellites or drones to automatically detect deforestation, forest fires, changes in water surfaces, or assess pollution levels.
Key Benefits: Enabling efficient resource management and rapid response to environmental incidents.
Early Natural Disaster Forecasting Models (AI & Data Science)
Analyzing historical, meteorological, and geological data using AI to provide earlier and more accurate forecasts for risks of floods, landslides, and droughts.
Key Benefits: Minimizing human and property losses, and supporting disaster prevention and mitigation efforts.