Automating surface water mapping with AI tools - On Demand Training

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Take sessions at any time, at your own pace with unlimited access for 30 days on sign up.

Surface water mapping is essential for flood risk assessment, water resource planning, and monitoring climate impacts. Traditional methods can be time-consuming and expensive. This 2-hour course demonstrates how to use free, cutting-edge tools to simplify and accelerate this process, making high-resolution, repeatable, and scalable analysis available to all.

Building on the free webinar (link below for viewing), this hands-on course, led by AI and open-source software expert Dr Qiusheng Wu, will show you how to harness free AI tools to rapidly map and monitor surface water, boost accuracy, save time, and transform your modelling workflows.

Details

Format	2-hours recordings + material & resources for download
Cost	AUD$198 (INC GST)
Code	POD-26-17
Contact	training@awschool.com.au
Tags	AI / Climate Adaptation / Ecosystem & Catchment Management

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Register your interest: https://awschool.com.au/training/ai-tools-for-mapping/

Recommended background preparation

Presenters

Qiusheng Wu

Amazon Scholar | University of Tennessee

Dr. Qiusheng Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. In addition, he holds positions as an Amazon Visiting Academic ... Read more

Sean Micek

Fenstermaker

Sean Micek, P.E. is a licensed Professional Engineer whose background is in hydrologic & hydraulic modelling, coastal transition zone analysis, and full-stack software development. Before joining ... Read more

Panel Members

Saeid Daliri

GECOsistema

Saeid currently works as a Remote Sensing Analyst for Flood Risk at GECOsistema, a specialist company providing advanced consulting/engineering and modelling services in the field of water, air, energ... Read more

Krey Price

International Water Training Institute

Educated at the University of California at Berkeley, Krey is a civil engineer and project manager with international experience in water resources. He is engaged in computational modelling, engineeri... Read more

The content in this course builds on the free webinar: Mapping surface water with satellite data and AI tools.

What You’ll Learn

This 2-hour course we will explore how artificial intelligence and open-source tools can revolutionise surface water mapping. In this hands-on course, you’ll gain practical skills in:

Accessing and analysing satellite imagery using Google Earth Engine
Harnessing the Open Data Cube (ODC) for large-scale water detection
Applying GeoAI and basic coding to automate image analysis
Training a deep learning model for surface water detection in aerial or drone imagery
Interpreting long-term trends in inundation extent to inform flood models, water balance models, and more

Who Should Attend?

This course is designed for professionals in:

Flood modelling and hydrology
Water resource management
Environmental monitoring
GIS and remote sensing
Data science and AI in water

Whether you’re a modeller, consultant, researcher, or policy adviser, this course will introduce you to efficient workflows that combine AI and Earth observation for actionable insights.

Format

2-hour recordings divided in to chapters for optimum learning
Q&A and chat files available for download with industry expert responses for ongoing use
Additional links and resources provided by the experts
Hands-on exercises
Receive 30 days of unlimited access to the course recordings
Ability to ask questions to the presenters at anytime through the LMS.

Recommended Knowledge

This AWS webinar discusses AI tools for modelling innovation:

Completion Certificate

Attendees earn CPD hours/points (i.e. with Engineers Australia) for at least 2 hours.
Attendees are issued a Certificate of Participation upon completion of the final survey.

Refund Policy

Frequent Asked Questions (FAQs)