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2026<\/strong> Dates: <\/strong>Saturday, May 16 | July 11 | September 12 | November 14<\/p>\n\n\n\n Time<\/strong>: 9:00 AM-5:30 PM <\/strong><\/p>\n\n\n\n Location<\/strong>: ADERSIM Lab, N004, Schulich Building, 快播视频<\/p>\n\n\n\n Registration Deadlines for Each Course<\/strong>: Saturday May 9 | July 4 | Registration Links<\/strong>:<\/p>\n\n\n\n Saturday May 16<\/a> | Saturday July 11<\/a> | Saturday September 12<\/a> | Saturday November 14<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n <\/p>\n\n\n\n This course aims to give participants a thorough understanding of multispectral mapping and its drone applications. Combining classroom instruction, hands-on drone flying, and practical image analysis, it prepares learners to plan and execute multispectral surveys, gather quality data, and analyze multispectral images for real-world uses. By course end, participants will acquire both theoretical knowledge and practical skills applicable to sectors like agriculture, environmental monitoring, forestry, water resource management, and disaster risk reduction.<\/p>\n\n\n\n A microcredit certificate will be issued to all participants from CIFAL York upon completion of the course.<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n Learning Objectives<\/strong><\/p>\n\n\n\n Gain a foundational understanding of multispectral imaging principles, including spectral bands and vegetation indices like NDVI, and their importance in environmental monitoring and resource management.<\/p>\n\n\n\n Discover the benefits of drone-mounted multispectral sensors \u2013 Familiarize yourself with various multispectral camera types, integration with drones, and optimal mission planning practices.<\/p>\n\n\n\n Operate drones to collect multispectral data \u2013 Develop hands-on skills in conducting safe and effective drone flights, capturing multispectral imagery in real-world conditions.<\/p>\n\n\n\n Process and analyze multispectral data by utilizing software tools to process raw drone imagery, generate vegetation indices, and create actionable maps.<\/p>\n\n\n\n Apply multispectral mapping to real-world scenarios to explore its applications in agriculture, forestry, water management, biodiversity monitoring, and disaster resilience.<\/p>\n\n\n\n Interpret and communicate findings<\/strong>\u2014Learn to evaluate outputs, derive insights, and present results clearly and practically for decision-making.<\/p>\n\n\n\n Develop confidence in field-to-analysis workflows by completing the entire cycle from mission planning and data collection to processing and interpretation.<\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n Course Approach <\/strong><\/p>\n\n\n\n The course is structured into 3 modules. This three-module course is designed to balance theory with practice:<\/p>\n\n\n\n .<\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n Target Participants <\/strong><\/p>\n\n\n\n Students and Early-Career Researchers<\/strong> in environmental science, disaster management, geography, agriculture, and engineering.<\/p>\n\n\n\n Professionals<\/strong> in agriculture, forestry, conservation, and water resource management seeking applied skills in drone-based multispectral mapping.<\/p>\n\n\n\n Government and NGO Staff<\/strong> involved in land use planning, biodiversity monitoring, and disaster risk reduction.<\/p>\n\n\n\n Drone Enthusiasts and Technologists<\/strong> interested in advancing from basic drone operations to specialized remote sensing applications.<\/p>\n\n\n\n Private Sector Practitioners<\/strong> from environmental consulting, precision agriculture, and technology firms seeking practical drone and data analysis skills.<\/p>\n\n\n\n .<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n Professor Ali Asgary is an expert in disaster, emergency and business continuity management. He has been actively involved in research, teaching and professional activities in these fields since 1993. Since 2015, Dr. Asgary has been the executive director of 快播视频's Advanced Disaster, Emergency and Rapid-response Simulation (ADERSIM). His research and teaching interests include post disaster recovery and reconstruction, business continuity and risk assessment, disaster and emergency simulations and modeling, applications of AI, VR, AR and MR, Drone, and geomatics in disaster and emergency management, and cost-benefit analysis and decision making under uncertainty. He holds Pilot Certificates for Basic, Advanced and Flight Review Operations of Remotely Piloted Aircraft Systems (RPAS), VLOS from Transport Canada.<\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n Dr. Olusola is a river catchment scientist dedicated to understanding how natural and human factors shape river systems. Their research spans from headwater streams to large river basins such as the River Niger, exploring how floods, droughts, and human activities influence river dynamics and ecosystems. Combining field measurements, Earth observations, and machine learning, Dr. Olusola seeks to advance predictive understanding of river behavior under changing environmental pressures. As an educator, they are committed to equipping students with innovative, problem-driven research skills to address catchment and climate challenges and promote the sustainable management of river systems<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n Order of topics subject to change<\/p>\n\n\n\n Drone-based biodiversity monitoring at Swan Lake \u2013 collected imagery used for vegetation index analysis (NDVI) and invasive species monitoring.<\/em><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n Registration and Payment Deadlines:<\/strong><\/p>\n\n\n\n Saturday May 9 | July 4 | September 5 | November 7<\/p>\n\n\n\n Minimum enrollment to run each offering course: <\/strong>10<\/p>\n\n\n\n Maximum enrollment<\/strong>: 40<\/p>\n\n\n\n Registration Fee<\/strong> <\/p>\n\n\n\n Full time students: CAN $50.00<\/p>\n\n\n\n Others: CAN$150.00<\/p>\n\n\n\n To register for this session and pay the fee:<\/strong><\/p>\n\n\n\n Saturday, May 16, 2026<\/a><\/p>\n\n\n\n Saturday, July 11, 2026<\/a><\/p>\n\n\n\n
September 5 | November 7<\/p>\n\n\n\n![\"\"](\"https:\/\/www.yorku.ca\/cifal\/wp-content\/uploads\/sites\/437\/2023\/09\/posterspictures3-1024x576.jpg\")
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<\/figure>\n<\/div>\n<\/div>\n\n\n\nCourse Description<\/h2>\n\n\n\n
Course Outline<\/h2>\n\n\n\n
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<\/figure>\n<\/div>\n\n\nCourse Instructor<\/h2>\n\n\n\n
![\"\"](\"https:\/\/www.yorku.ca\/cifal\/wp-content\/uploads\/sites\/437\/2024\/09\/2024-07-11_16-26-38-1024x687.jpg\")
<\/figure>\n\n\n\nDr. Ali Asgary<\/strong><\/h2>\n\n\n\n
![\"\"](\"https:\/\/www.yorku.ca\/cifal\/wp-content\/uploads\/sites\/437\/2025\/09\/Adeyemi-Olusola.jpg\")
<\/figure>\n\n\n\nDr. Adyemi Olusola<\/strong><\/h2>\n\n\n\n
Course Syllabus<\/h2>\n\n\n\n
![\"\"](\"https:\/\/www.yorku.ca\/cifal\/wp-content\/uploads\/sites\/437\/2025\/08\/DJI_20250626194141_0074_D-1024x767.jpg\")
Module 1: Basics of Multispectral Mapping (Classroom Session)<\/strong><\/strong><\/h2>\n\n\n\n
9:00-11:00 <\/strong><\/h2>\n\n\n\n
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![\"\"](\"https:\/\/www.yorku.ca\/cifal\/wp-content\/uploads\/sites\/437\/2025\/08\/1.png\")
<\/figure>\n\n\n\nModule 2: Field Operations \u2013 Drone Flight for Multispectral Mapping<\/strong><\/strong><\/h2>\n\n\n\n
11:30-13:30<\/strong><\/h2>\n\n\n\n
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Module 3: Analysis of Multispectral Drone Data<\/strong><\/strong><\/h2>\n\n\n\n
14:30-17:30<\/strong><\/h2>\n\n\n\n
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Registration<\/strong> and Payment<\/strong><\/h2>\n\n\n\n