Development of automatic methods for the detection and differentiation of illegal waste dumps and plastic waste in the environment using hyperspectral satellite imagery and deep learning

Improving Crop Detection based on Hyperspectral EnMAP data using Geo Engine

Forecasting agricultural productivity to improve agricultural supply chains

EO College Online Course Series Towards Zero Hunger is an online course series covering a wide range of topics related to UN’s Sustainable Development Goal 2: Zero Hunger and the role that Earth Observation can play. Designed to empower learners with practical Earth Observation skills, the course provides a diverse array of hands-on tutorials to help you take concrete action towards ending world hunger.

Assessment and Monitoring of Soil Erosion Parameters in the Transboundary Lake Kivu and Ruzizi River Basin

Adaptation to Drought and El Niño Effects in the Central Highlands of Vietnam

Integrating Ecosystem-based Approaches into Flood Risk Management for Adaptive and Sustainable Urban Development in Central Vietnam

Satellite constellation trying to understand the Earth’s magnetic field

Swarm is ESA’s mission to understand the Earth’s magnetic field. It is a constellation of three SWARM satellites designed to identify and measure precisely the different magnetic signals that emanate from our planet. This will provide insight into the natural processes occurring deep within the planet, to weather in space caused by solar activity.

Acquiring independent capability to detect, predict and assess the risk that space debris, near-Earth objects (NEO) and space weather pose to life, the environment and infrastructure

Space-Enabled Energy Network (SEEN) aims to offer services along the biomethane value chain, which includes capturing, processing, storing and distribution, targeting both supply and demand side customers. Supply side customers include landowners/businesses with significant grasslands and farms that can use waste from their day-to-day business operations to generate additional value by capturing, processing, storing and distributing their biomethane.

The ForCC demonstration project aims to develop and implement a cost effective and timely remote sensing-based system that facilitates the development of Sustainable Forest Management (SFM) forest carbon offset measurement for existing forests in Europe to support Voluntary Carbon Markets (VCM). It offers transparent criteria for carbon offset verification through data analytics and carbon accounting, increasing the credibility of VCM.