Oceanic Plastic Waste Detection with AI and Remote Sensing
From Satellite Data to Sustainable Cleanup: AI for Marine Plastic Detection
About This Course
Oceanic Plastic Waste Detection with AI and Remote Sensing is a 3-day advanced workshop focused on using satellite imagery, machine learning, and predictive modeling to identify, track, and optimize cleanup strategies for marine plastic pollution. Participants will gain hands-on experience with computer vision, drift forecasting, and AI-based environmental monitoring tools through guided Colab sessions.
Aim
To enable participants to apply AI and remote sensing techniques for detecting, tracking, and optimizing responses to oceanic plastic pollution.
Workshop Objectives
- Understand satellite-based detection of ocean plastic.
- Apply AI models for debris identification and segmentation.
- Develop predictive models for plastic drift tracking.
- Explore optimization techniques for cleanup planning.
- Gain hands-on implementation experience.
Workshop Structure
🛰️ Day 1 — Detection from Orbit
- Floating Plastic Index (FPI) using Sentinel-2 SWIR bands
- Multi-scale detection with satellite and UAV imagery (Super-Resolution GANs)
- Debris segmentation using U-Net and DeepLabV3+
- Hands-on: Build a spectral classifier for plastic identification
🛰️ Day 2 — Movement & Drift Prediction
- Ocean transport modeling: Eulerian vs. Lagrangian approaches
- RNN-based drift forecasting for marine debris
- ConvLSTM heatmap prediction for debris accumulation zones
- Hands-on: Develop a 72-hour plastic trajectory predictor
🛰️ Day 3 — Cleanup Strategy Optimization
- Reinforcement learning for autonomous vessel routing
- YOLO-based waste classification
- Drone swarm coordination for debris scouting
- Hands-on: Implement an AI-based cleanup path optimizer
Who Should Enrol?
- Postgraduate students, Ph.D. scholars, researchers, and academicians in relevant fields
- Industry professionals working in sustainability, climate tech, or geospatial analytics
- Basic knowledge of Python and machine learning is recommended
- Familiarity with remote sensing or satellite data is beneficial but not mandatory
Important Dates
Registration Ends
02/26/2026
IST 4 : 30 PM
Workshop Dates
02/26/2026 – 02/28/2026
IST 5 : 30 PM
Workshop Outcomes
- Analyze satellite data for marine plastic detection.
- Develop AI models for debris identification and drift prediction.
- Apply optimization methods for cleanup planning.
- Implement practical AI workflows for ocean monitoring.
Fee Structure
Student
₹2999 | $70
Ph.D. Scholar / Researcher
₹3999 | $80
Academician / Faculty
₹4999 | $90
Industry Professional
₹6999 | $120
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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