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The SENTINEL missions support climate change studies by providing data that can be used to supplement heritage time-series acquisitions. This information can provide additional weight to data acquired by European and international earth observation programmes, and will support the response and management of related policy issues within Europe at federal, national and local levels.

SENTINEL-1 provides the ability to provide data on forest fire scar mapping, which can be used to map the history and lifecycle of forests, with particular regard to the carbon content. Fire scar mapping also plays an important role in mapping of forest fire scars, can be an important part of mapping the carbon history of a forest and provides support in the estimation of carbon emissions.

SENTINEL-2 will provide land monitoring support to climate change via monitoring of aspects such as soil use and land use change. This information can be used to support European environmental policy, and help to improve the efficiency and effectiveness of the international humanitarian response to climate related emergencies.More information on the MSI instruments support to this application can be found here.

SENTINEL-3 will provide SST data for use by the climate scientific research community, and support ocean forecasting and weather prediction.

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Improving land cover mapping with Sentinel-2

24 March 2017

With the pair of Sentinel-2 satellites now in orbit, users are looking ahead to mapping global land cover at 10 m resolution.

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Land monitoring

The impact of climate change on the Earth's surface can be studied from orbit, offering a broader perspective than in-situ observations.

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Marine Environmental Monitoring

The study of the marine environment is primarily utilised by the fishing industry to monitor algal blooms and phytoplankton distribution, both key elements of the oceanic food chain.

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Atmospheric Monitoring

Space-based sensors help detect otherwise invisible changes, peering either sideways or down through the atmosphere to build up three-dimensional views of its chemical composition, sensitive to a few parts per billion.