This dynamic workshop, inspired by the expertise of Dr. Karen Joyce in AI, drones, data, and Geographic Information Systems (GIS), is designed to equip participants with the skills and knowledge to leverage these technologies for advanced environmental monitoring and management. Through hands-on sessions, case studies, and access to AI assets, participants will learn how to transform aerial data captured by drones into actionable insights using AI and GIS tools, aligning with key messages from GeoNadir workshops.
Objectives:
· To introduce participants to the fundamentals of drone technology, AI, and GIS for environmental applications.
· To demonstrate how to process and analyze drone-captured data using AI algorithms for enhanced decision-making.
· To explore real-world applications through case studies that highlight the impact of integrated drone and AI technologies in environmental science.
· To provide participants with practical experience using AI assets and GIS software to analyze and interpret drone data.
Key Topics:
1. Introduction to Drone Technology and GIS
· Basics of drone operations for environmental monitoring.
· Overview of GIS and its significance in spatial data analysis.
2. AI in Earth Observation
· Role of AI in processing and enhancing drone-captured imagery.
· Machine learning algorithms for detecting patterns, changes, and anomalies in environmental data.
3. Practical Applications and Case Studies
· Detailed exploration of case studies showcasing Dr. Joyce's work in coral reef mapping, vegetation monitoring, and disaster assessment.
· Discussion on the versatility of drone technology and AI in various sectors including agriculture, conservation, and urban planning.
4. Hands-on Sessions with AI and GIS Tools
· Participants will gain access to AI assets for analysing drone imagery, such as object detection models and classification algorithms.
· Guided exercises in GIS software for spatial analysis and visualization of drone data.
5. Ethical Considerations and Data Management
· Best practices for ethical drone operation and data handling.
· Importance of data privacy, consent, and responsible use of AI in environmental contexts.
Case Studies:
· Coral Reef Mapping: Utilizing drone imagery and AI for detailed mapping and health assessment of coral reefs.
· Vegetation Monitoring: Applying AI algorithms to drone data for tracking vegetation cover changes and identifying areas at risk of deforestation.
· Disaster Assessment: Leveraging drones and AI for rapid assessment of natural disaster impacts, aiding in efficient response and recovery efforts.
AI Assets for Workshop Participants:
· Access to pre-configured AI models for environmental image analysis.
· Datasets of drone-captured imagery for practical exercises.
· Resources and tutorials on using GIS software for data visualization and interpretation.
Target Audience:
Environmental scientists, GIS specialists, drone enthusiasts, students, and professionals interested in the convergence of technology and environmental science. This workshop is designed for those eager to explore the practical applications of AI, drones, and GIS in environmental monitoring and management.
Outcome:
Participants will emerge from the workshop with a solid foundation in the application of drones, AI, and GIS for environmental purposes. They will have hands-on experience in processing and analysing aerial data, ready to apply these skills in their fields. Furthermore, they will be part of a growing community committed to leveraging technology for the betterment of environmental research and conservation efforts.
This dynamic workshop, inspired by the expertise of Dr. Karen Joyce in AI, drones, data, and Geographic Information Systems (GIS), is designed to equip participants with the skills and knowledge to leverage these technologies for advanced environmental monitoring and management. Through hands-on sessions, case studies, and access to AI assets, participants will learn how to transform aerial data captured by drones into actionable insights using AI and GIS tools, aligning with key messages from GeoNadir workshops.
Objectives:
· To introduce participants to the fundamentals of drone technology, AI, and GIS for environmental applications.
· To demonstrate how to process and analyze drone-captured data using AI algorithms for enhanced decision-making.
· To explore real-world applications through case studies that highlight the impact of integrated drone and AI technologies in environmental science.
· To provide participants with practical experience using AI assets and GIS software to analyze and interpret drone data.
Key Topics:
1. Introduction to Drone Technology and GIS
· Basics of drone operations for environmental monitoring.
· Overview of GIS and its significance in spatial data analysis.
2. AI in Earth Observation
· Role of AI in processing and enhancing drone-captured imagery.
· Machine learning algorithms for detecting patterns, changes, and anomalies in environmental data.
3. Practical Applications and Case Studies
· Detailed exploration of case studies showcasing Dr. Joyce's work in coral reef mapping, vegetation monitoring, and disaster assessment.
· Discussion on the versatility of drone technology and AI in various sectors including agriculture, conservation, and urban planning.
4. Hands-on Sessions with AI and GIS Tools
· Participants will gain access to AI assets for analysing drone imagery, such as object detection models and classification algorithms.
· Guided exercises in GIS software for spatial analysis and visualization of drone data.
5. Ethical Considerations and Data Management
· Best practices for ethical drone operation and data handling.
· Importance of data privacy, consent, and responsible use of AI in environmental contexts.
Case Studies:
· Coral Reef Mapping: Utilizing drone imagery and AI for detailed mapping and health assessment of coral reefs.
· Vegetation Monitoring: Applying AI algorithms to drone data for tracking vegetation cover changes and identifying areas at risk of deforestation.
· Disaster Assessment: Leveraging drones and AI for rapid assessment of natural disaster impacts, aiding in efficient response and recovery efforts.
AI Assets for Workshop Participants:
· Access to pre-configured AI models for environmental image analysis.
· Datasets of drone-captured imagery for practical exercises.
· Resources and tutorials on using GIS software for data visualization and interpretation.
Target Audience:
Environmental scientists, GIS specialists, drone enthusiasts, students, and professionals interested in the convergence of technology and environmental science. This workshop is designed for those eager to explore the practical applications of AI, drones, and GIS in environmental monitoring and management.
Outcome:
Participants will emerge from the workshop with a solid foundation in the application of drones, AI, and GIS for environmental purposes. They will have hands-on experience in processing and analysing aerial data, ready to apply these skills in their fields. Furthermore, they will be part of a growing community committed to leveraging technology for the betterment of environmental research and conservation efforts.