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Professional Certification Program
Eyes in the Sky” is a concise, hands-on workshop on using drones, satellites, and AI for real-time environmental monitoring. Through the Silvanet & Silvaguard case study, you’ll see how remote sensing and ML fuse to detect deforestation and wildfires, track air quality, and estimate emissions and vegetation carbon stocks—while addressing real-world hurdles like data gaps, accuracy, and scaling in low-resource regions.
To equip participants to design, evaluate, and deploy AI-driven, real-time environmental monitoring pipelines that fuse drone and satellite imagery for rapid detection of deforestation, wildfires, and air-quality issues—grounded in the Silvanet & Silvaguard (Germany) case study—and to develop practical strategies for overcoming data gaps, accuracy limits, and scalability challenges in low-resource settings.
Introduce core concepts of AI-enabled remote sensing for real-time monitoring.
Demonstrate ingestion & preprocessing of satellite, drone, and sensor data.
Apply change detection and early-warning models for deforestation and wildfires.
Fuse multi-resolution data (UAV + EO + IoT) for robust signal detection.
Estimate air-quality proxies (e.g., AOD) and vegetation carbon stocks.
Evaluate model performance (IoU/F1/PR) and calibrate alert thresholds.
Explore the Silvanet & Silvaguard case to derive deployable design patterns.
Address data gaps, accuracy limits, and scaling in low-resource contexts.
Prototype a minimal alerting workflow and web map/dashboard for decision support.
Environmental & forestry professionals, wildfire/disaster management teams
Remote sensing & GIS analysts (QGIS/ArcGIS/Google Earth Engine users)
Data scientists & ML engineers working with geospatial data
Air-quality, climate, and sustainability researchers/practitioners
UAV/drone operators and Earth-observation startups
Government agencies, utilities, and NGOs involved in monitoring & response
Graduate students and faculty in Environmental Science, Geography, CS/AI
12/05/2025
IST 6 PM
12/05/2025 – 12/07/2025
IST 7 PM
Build a real-time EO pipeline (satellite + drones + sensors).
Train models for deforestation change & early wildfire signals.
Fuse multi-resolution data; detect smoke/thermal anomalies.
Estimate air-quality (AOD) and vegetation carbon stocks.
Evaluate (IoU/F1), tune thresholds to cut false alarms.
Deliver: alerting workflow, mini dashboard, and a one-page rollout for low-resource settings.
₹1999 | $60
₹2999 | $70
₹3999 | $80
₹5999 | $100
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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