Open Access Data

Our extensive data offerings are designed to empower users with the tools and insights they need to address complex challenges in environmental monitoring, resource management, and beyond. The Hub provides freely available datasets from public sources and research institutions. These datasets are ideal for scientific studies, sustainability projects, and non-commercial applications.

Available Data Categories:

Climate Projections

Modelled projections of climate and atmospheric variables.

Climate Variables

Measured climate and atmospheric data.

Land Cover

Data of land cover for the Earth's surface.

Optical & Multispectral

Satellite imagery in the optical wavelengths.

Radar

Satellite imagery in the radio frequency.

EOCIS

The UK Earth Observation Climate Information Service (EOCIS) offers diverse datasets for climate and environmental monitoring. The global datasets generated by EOCIS include atmospheric, land surface, and ocean essential climate variables. Regional datasets focus on high-latitude observables, methane observations in the lower atmosphere, and soil water balance observations across Africa. These datasets are selected for their scientific significance and societal relevance, such as food security in a changing climate. Climate variables and indices for the UK are produced at high resolution (~100m), including near-real-time fire and urban flood monitoring, high-resolution surface temperature mapping, analysis of coastal water colour changes due to extreme rainfall, and environmental assessments of vegetation, lake changes, and aerosols for ecosystem and human health impact studies. The project exploits the observations available from environmental sensors orbiting in space to create climate data records and climate information. EOCIS is a collaboration led by the National Centre for Earth Observation, and involving over a dozen research organisations. The project addresses 12 categories of global and regional essential climate variables, covering a broad scope of applications outlined in this short video.

For more information on the project and datasets, please visit the EOCIS website.