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NEWS
Discover the latest news on the European Space Agency's Earth Observation activities. Learn all about new data availability and how ESA's missions are performing.
News - How to guides
HEDAVI Discover: a step-by-step guide
The Heritage Data Visualisation tool (HEDAVI) is a platform developed by the French Science Consulting for Earth Observation group, VisioTerra, which allows users to freely access over 40 years of ESA Earth Observation Heritage data, Third Party Missions and some Copernicus data.
News - Thematic area articles
Space data support Earth’s ecosystems
ESA’s Earth observation (EO) missions are making a critical contribution to monitoring transformations in our planet’s ecosystems, helping track changes in the vegetation, soil, and ocean that affect these systems.
News - Success Stories
Discover Earth like never before: the HEDAVI tool
The Heritage Data Visualisation tool, or HEDAVI, enables the analysis of global spatio-temporal dynamics of natural and artificial environments, covering over 40 years of ESA Earth Observation Heritage data, Third Party Missions and some Copernicus data.
News - Thematic area articles
Cloud-free collections key for land monitoring
Satellite imagery is a crucially important tool for monitoring the land, but cloud cover can often block parts of Earth’s surface from view, limiting subsequent analyses.
News - Thematic area articles
Global understanding of Earth's land surfaces greatly boosted by satellite data
ESA perform land surface monitoring with a range of instruments onboard satellites acquiring optical and radar data. Collections of data from these missions are freely available for research purposes.
News - Data Release news
Full European Landsat data collection now available under the same catalogue
The Full European Landsat data collection, from Landsat-1 to Landsat-8, is now available under the same catalogue
News - Data Release news
New reprocessed Landsat data on a new dissemination server
The full ESA Landsat archive has been reprocessed with the latest version of the processor to provide a homogenous dataset covering MSS, TM and ETM+ data.