Cases

Monitoring and improving our air quality is essential to protect our public health and safeguard the environment. Terrascope offers a series of air quality maps including a daily NO₂ surface concentration. Discover more about this groundbreaking NO₂ product derived with an advanced machine learning (ML) framework to integrate multi-source datasets.

WorldCereal is the world’s first dynamic system to provide seasonally-updated temporary cropland and crop type maps at 10 m resolution at global scale. Discover more about the production of the system, access of the data and use of the WorldCereal maps to help monitor agricultural production across the world.

Although wildfires are a natural phenomenon, they have shown to be particularly intense around the world in recent years, causing large emissions that can have significant impact on our environment and public health. Canada for example has suffered several devastating wildfires. Discover more about the available Sentinel-5P air quality data to monitor e.g. toxic gases like formaldehyde and facilitate a quick response.

This case explains how you can use openEO to produce continental crop type maps. Discover more about the possibilities, setup and challenges.

Wind is a key resource to enable the green energy transition and stop the emission of greenhouse gasses that is driving climate change. Discover how the Sentinel-1 wind speed and direction observations provide insights into ocean wind patterns.

Discover how Rijkswaterstaat (the Ministry of Infrastructure and Water Management in The Netherlands) uses remote sensing solutions to monitor water surfaces.

Discover a preview application which combines Sentinel-3-derived Land Surface Temperature and Sentinel-2 reflectance data for Urban Heat Island effects.

Discover more about WorldCover, the global land cover products at 10 m resolution for 2020 and 2021 based on Sentinel-1 and Sentinel-2 data.

In the MOSCI project, IMDC and VITO looked into the feasibility of using InSAR technology to monitor deformation of large structures. This remote sensing technology uses freely available Sentinel-1 data which allows us to monitor e.g. hundreds of bridges at the same time.

Sentinel-1 and Sentinel-2 data for urban planning and land management.