UN-SPIDER and ZFL Launch SPEAR II Project

In March 2015, 187 Members States of the United Nations launched the Sendai Framework for Disaster Risk Reduction 2015-2030. The framework called for the implementation of efforts at the local, national, regional, and international levels to confront the challenges posed by natural and anthropogenic hazards. Targets included a substantial reduction in global disaster risk mortality, the number of affected people, disaster-related economic losses, and impacts to critical infrastructure.

NASRDA uses UN-SPIDER Recommended Practice to monitor Lagbo Dam in case of potential floods

Nigeria's Minister of Innovation, Science, and Technology, Uche Nnaji, commented that the threat of flooding has significantly decreased according to recent data from the Nigeria Hydrological Services Agency (NIHSA) and from the National Space Research and Development Agency (NASRDA). The collaboration between NIHSA and NASRDA is geared to monitor Lagdo Dam to adopt preventive measures to protect individuals from potential flooding in case flood gates are open by the Dam operators. 

NOAA Reveals Initial Imagery from the New Geostationary Satellite GOES-19

The National Oceanic and Atmospheric Administration (NOAA) has released the first photographs collected by its GOES-19 satellite, which provide a nearly constant view of the Western Hemisphere. GOES-19, the most recent addition to NOAA's Geostationary Operational Environmental Satellites (GOES) network, was launched on 25 June 2024. The Advanced Baseline Imager (ABI) on GOES-19 takes data throughout 16 channels of the electromagnetic spectrum, including the visible, near-infrared, and infrared bands. 

Summit of the Future

This is event is available for participation on an ongoing basis

The Summit is a high-level event, bringing world leaders together to forge a new international consensus on how we deliver a better present and safeguard the future.

Effective global cooperation is increasingly critical to our survival but difficult to achieve in an atmosphere of mistrust, using outdated structures that no longer reflect today’s political and economic realities.

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09/22/2024, 12:00am - 09/23/2024, 12:00am
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New York City

United Nations

Sentinel-2C Captures First Images Shortly After Launch

The Sentinel-2C satellite has started providing imagery of Earth only two weeks after launch, demonstrating the capabilities it will offer to the Copernicus program, the Earth observation endeavour in Europe. Having been launched from Europe’s Spaceport in French Guiana on September 5, 2024, Sentinel-2C will provide continuous high-resolution multispectral imagery of Earth’s land, inland waters, islands, and coastal areas. 

WMO Report Highlights Importance of Space-Based Earth Observation for Climate Action

In a new multi-agency report, United in Science, coordinated by the World Meteorological Organization (WMO), the United Nations Office for Outer Space Affairs (UNOOSA) underscores in its contribution the critical role of space-based Earth observations in addressing the growing climate crisis. The report highlights that advances in satellite technology have vastly improved the accuracy and frequency of weather forecasts, climate predictions, and environmental monitoring.

EO College's New Free Online Course: Introduction to Machine Learning for Earth Observation

EO College announced the launch of a new online course: Introduction to Machine Learning for Earth Observation. This course is now available to the public, completely free of charge. 

The EO College is a hub for digital learning content regarding Earth observation, remote sensing and related topics. The platform is designed as a repository for open educational resources and online courses.

Introduction to Machine Learning for Earth Observation

This is event is available for participation on an ongoing basis

Text adapted from https://eo-college.org

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.

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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.
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UN-SPIDER Beijing Conference: Space-based Technologies for Disaster Risk Reduction

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.