AI for Environmental Monitoring and Sustainability
Harnessing the Power of AI for a Greener, Smarter Planet
About This Course
The 3-day international virtual workshop on AI for Environmental Monitoring and Sustainability offers a comprehensive exploration of how artificial intelligence can transform environmental data into actionable insights. Through a mix of expert-led lectures, real-world case studies, and interactive coding sessions, participants will learn how to leverage remote sensing, deep learning models, and AI-powered dashboards for sustainable decision-making. This program bridges the gap between environmental science and cutting-edge AI technology.
Aim
To equip participants with hands-on skills and foundational knowledge in using artificial intelligence for environmental monitoring, sustainability analysis, and smart city solutions.
Workshop Objectives
- Build AI literacy in environmental monitoring applications.
- Provide hands-on experience with tools like Google Colab and Streamlit.
- Enable participants to use satellite and sensor data for sustainable insights.
- Foster the development of smart, AI-driven environmental solutions.
Workshop Structure
Day 1: Data-Driven Environmental Monitoring – Foundations
● Introduction to Remote Environmental Sensing and Smart Monitoring
● Understanding Data Sources: Satellite Imagery, Air Quality Sensors, Water Data
● Exploring Moderate Reolution Imaging Spectroradiometer(MODIS) and Sentinel Satellite Datasets
● Hands-On: Visualizing Environmental Data in Google Colab (Pollution Mapping)
● Case Studies: Smart Monitoring Systems for Urban Sustainability
Day 2: Deep Learning for Climate and Pollution Pattern Detection
● Introduction to AI for Climate and Pollution Studies
● Image Segmentation Techniques for Land, Water, and Air Monitoring
● Training a CNN Model to Classify Land Cover or Detect Pollution Hotspots
● Hands-On: Building and Evaluating an Environmental Pattern Recognition Model
● Customizing Models for Specific Cities or Regions
Day 3: Smart Solutions – AI-Driven Environmental Decision Support
● Introduction to AI-Powered Environmental Policy Tools
● Using Multi-source Data (Pollution, Traffic, Green Cover) for Decision Making
● Build Your Own: Smart City Environmental Health Dashboard (Streamlit App)
● Hands-On Model Deployment and Visualization (Google Colab/Streamlit)
● Use Cases: Urban Planning, Disaster Risk Reduction, Smart Greening Initiatives
Who Should Enrol?
- Graduate and postgraduate students of environmental science, data science, Artificial Intelligence/Machine Learning, and sustainability domains.
- Professionals, researchers, and environmental consultants.
- Urban planners, climate activists, and decision-makers interested in technology-driven sustainability.
Important Dates
Registration Ends
05/17/2025
IST 1:00 PM
Workshop Dates
05/17/2025 – 05/19/2025
IST 2:00 PM
Workshop Outcomes
By the end of the workshop, participants will:
- Understand AI tools for environmental data acquisition and processing.
- Develop and deploy AI models for climate and pollution analysis.
- Create and visualize real-time dashboards for smart decision-making.
- Be equipped to contribute to data-driven environmental innovation.
Fee Structure
Student Fee
₹1999 | $50
Ph.D. Scholar / Researcher Fee
₹2499 | $65
Academician / Faculty Fee
₹2999 | $75
Industry Professional Fee
₹3499 | $85
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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