Throughout this course, you’ll embark on an enlightening journey into the realm of Machine Learning (ML) as applied to Earth Observation (EO). We’ll start by exploring the current landscape of ML for EO, shedding light on the latest advancements and addressing pertinent ethical considerations.
This course targets scientists possessing backgrounds in computer science, to entice them to explore EO as a compelling field for applied Artificial Intelligence (AI) solutions.
Whether you’re a student eager to expand your knowledge, a seasoned professional looking to stay ahead of the curve, or simply curious about the intersection of technology and environmental science, this course is tailor-made for you. Regardless of your background, our aim is to provide valuable background information, foster a deeper understanding of ML principles, and showcase real-world applications relevant to your interests and expertise.
A basic background in both Machine Learning and Earth Observation is of course advantageous.
The UN-SPIDER Beijing Office and China's Ministry of Emergency Management (MEM) will organize the "The United Nations International Conference on Space-based Technologies for Disaster Risk Reduction - Early Warnings for All", scheduled to take place in Beijing later this year in November.
The CogniSAT-6 satellite, developed by Ubotica, has successfully used artificial intelligence (AI) to autonomously detect 37 ships entering the Galveston channel. This marks a major advancement in satellite technology, particularly for disaster risk management and emergency response.
This is event is available for participation on an ongoing basis
Synthetic Aperture Radar (SAR) signals can “see” the surface of the Earth during the day or night, and under nearly all weather conditions. In addition, the signal can penetrate through the vegetation canopy and detect inundation. These capabilities are unique to radar and make it an ideal sensor for flood detection and monitoring.
AmeriGEO participants, disaster management agencies, including domestic and international government agencies, aid organizations, indigenous communities, students, and academics.
In recent years, climate change, extreme weather, population growth and urbanization have led to an increasing number of people being threatened by compound disaster risks, and it has become a global challenge to mitigate disast
The Copernicus Sentinel-2C satellite is set for launch on 4 September 2024 from Europe's Spaceport in French Guiana. Fully fueled and pressurized, Sentinel-2C will enhance the European Union's Copernicus Earth observation program, a crucial initiative for global environmental monitoring and disaster risk management.
The United Arab Emirates has made a significant leap in its space capabilities with the successful launch of its first Low Earth Orbit (LEO) Synthetic Aperture Radar (SAR) satellite. The satellite, developed by Bayanat AI PLC and Al Yah Satellite Communications Company PJSC (Yahsat) in partnership with ICEYE, was launched on 16 August 2024.
Senegal has taken a significant step in its journey towards technological sovereignty with the successful launch of its first satellite, Gaindesat-1A. The earth observation nanosatellite was launched on 16 August 2024, from California's Vandenberg Space Force Base.
