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Activities & events
reveal that 90% of climate-related natural disasters
impact 217 million people annually, causing economic
losses of up to $300 billion. Furthermore, environmental
pollution leads to the death of 9 million people each year. and environmental protection, the applications
This underscores the urgent need to escalate efforts for
immediate action and to harness digital technologies
and their applications in environmental protection.
On its first day, the workshop delves into scientific
papers addressing the role of smart cities and artificial
intelligence in mitigating risks and managing disasters
to build resilient communities and infrastructure. The
topics covered encompass monitoring and analyzing
climate changes through location intelligence
techniques, employing remote sensing to detect harmful
algal blooms and abnormal concentrations of plant
particles over time and space in the Oman Sea and the
Arabian Sea, integrating remote sensing technologies
with artificial intelligence for disaster risk reduction
and management, examining climate changes in the
Arabian Sea and their regional impact, and employing
remote monitoring for earthquakes and tsunamis.
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The workshop proceeded with sessions spanning
the next two days, featuring workshops on the role
of artificial intelligence in analyzing climate data
of Copernicus satellites and their impact on land
monitoring and environmental protection, and the
significance of numerical models in climate prediction,
analysis, and environmental protection.
It is worth noting that the workshop aims to shed
light on the role of computer vision applications based
on remote sensing in environmental protection. This
involves understanding how artificial intelligence and
computer vision applications can assist in combating
climate change, aiding in the fight against global
warming and promoting environmental protection.
The workshop also explores the potential of artificial
intelligence applications and computer vision systems
based on remote sensing in predicting natural disasters.
Additionally, it examines pioneering experiences in
utilizing computer vision in the realms of climate
change and disaster prevention.