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Explore how to leverage satellite imagery and artificial intelligence for surface water mapping in this comprehensive webinar. Discover techniques for accessing, analyzing, and processing multispectral satellite data from platforms like Landsat and Sentinel, which have been capturing Earth imagery for over five decades since 1972. Learn to extract inundation extents using AI tools and gain practical guidance for working in data-scarce regions or validating surface water models. The session covers the SWOT mission, presents a detailed Lake Mackay case study, demonstrates project methodology and DEA Sandbox processing, and showcases timelapse imagery with topography inputs. Through case studies from both developing and well-instrumented areas, understand the flexibility and power of combining remote sensing with artificial intelligence for water resource management and monitoring applications.
Syllabus
00:00 - Presenter intros | Polls
06:42 - SWOT mission
16:07 - Lake Mackay case study
26:02 - Project methodology
33:15 - DEA Sandbox processing
37:25 - Timelapse imagery | Topography inputs
42:30 - Lessons learnt
45:58 - Q&A & wrap-up
Taught by
Australian Water School