Dust Storm Mapping and Monitoring in the Middle East using Remote Sensing Data and Google Earth Engine Platform
This webinar will explore advanced techniques and tools for monitoring dust storms and aerosol distributions using remote sensing technologies. This session will cover a range of key topics aimed at enhancing your understanding of environmental monitoring through satellite data and machine learning.
Key topics include:
- Remote Sensing products for dust storm monitoring
- Aerosol mapping using Aerosol Optical Depth (AOD) products
- Aerosol thickness mapping with PM2.5 concentration data
- Dust storm occurrence mapping and monitoring
- Analyzing dust storm trends using machine learning methods
Dr. Amirhossein Ahrari
Researcher at University of Oulu
I have received bachelor’s and master’s degrees in Remote Sensing from the University of Tehran (Iran) between 2011 and 2018. As a remote sensing researcher, I worked at the Remote Sensing Research Center (RSRC) at Sharif University of Technology and FAO (Iran) between 2018 and 2020. Since then, I moved to Finland and started a PhD in Environmental Engineering, and received a PhD degree in 2025. My PhD thesis is entitled “Environmental Monitoring using Remote Sensing Data and Machine Learning”. I am skilled in remote sensing, artificial intelligence, and environmental engineering, and share my skills through my YouTube channel “Google Earth Engine with Amirhossein Ahrari”. Recently, I have received the Google Developer Expert title from the Google Earth Engine team at Google, which officially approved my skills. Currently working as a Researcher at the University of Oulu and collaborating on peer-reviewed papers that are already highlighted on my Google Scholar account.