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Flood in Northern Europe, July 2002
See satellite images from July 2002 capturing the flooding across northern Europe.
Hurricane Mitch, October 1998
View satellite images depicting Hurricane Mitch as it impacted Central America in October 1998.
Hurricane Katrina, 2005
See satellite imagery of Hurricane Katrina and its impact on New Orleans in 2005.
Flood in Europe (Germany), 1997
See satellite imagery showcasing the 1997 floods in Germany.
Development of the Saemangeum Dam (South Korea), 1987-2013
See the transformation of the Saemangeum Dam in South Korea through satellite images from 1987 to 2013.
Urban Evolution of Dubai: A Satellite Perspective from 1984 to 2017
Explore the urban transformation of Dubai through satellite images spanning from 1984 to 2017.
Athabasca Oil Sands (Canada): A Satellite Perspective from 1992 to 2011
Explore the Athabasca Oil Sands in Alberta, through satellite imagery.
Fires in Sicily (Italy), 1998
Explore satellite images capturing the extent of fires in Sicily during the eruption of Etna Volcano in 1998.
Etna Volcano (Italy), 2001
View the eruptive activity of Etna volcano through satellite imagery from 2001.
Etna Volcano (Italy), October 2002
See satellite images capturing the eruption of Etna Volcano eruption in October 2002.
FDR4ALT - ESA unveils new cutting-edge ERS/Envisat Altimeter and Microwave Radiometer Datasets
The European Space Agency (ESA) has developed a comprehensive suite of innovative Earth system data records as part of the Fundamental Data Records for Altimetry project - FDR4ALT.
Trailblazing ERS-2 mission enables climate change applications
As ESA’s ERS-2 satellite approaches Earth’s atmosphere for reentry, it’s time to reflect on the mission’s great achievements in powering climate-related applications.
PROBA-V data improve surface albedo products in Africa
As ESA’s PROBA-V satellite marks its 10-year launch milestone, data tasked during the mission’s lifetime are still being used to assess changes in land cover.
PROBA-V ‘Collection 2’ - Reprocessed Dataset available
The improved PROBA-V data (Collection 2) has been released. Data is available via the PROBA-V MEP and Terrascope platforms so users can freely exploit the data using Virtual machines, Jupyter Notebooks, and the new viewing application.
Satellites investigate Earth’s terrestrial hydrosphere
ESA’s Earth observation satellites are playing a leading role in furthering our understanding of how Earth’s water cycle is being influenced by humankind.
Data preservation takes centre stage at Living Planet Symposium
Against the backdrop of the famed Rhine River, world-class scientists and Earth observation data-users are gathered this week in the historical city of Bonn, at the Living Planet Symposium (LPS).
Introducing Mirko Albani
In this short introduction, ESA's Heritage Missions Programme Manager describes what he likes most about ESA's long term archive of satellite mission data and his role in the programme.
ERS Heritage Data allow for 30 years of science
At their time of launch thirty years ago, the two ERS satellites were the most sophisticated Earth observation spacecraft ever developed and launched by Europe.
ERS - ESA’s first Earth observation satellites
To mark the 30th anniversary of ERS, we've released a new infographic summarising the mission.
PROBA-V 1 km, 333 m, and 100 m products
The PROBA-V VEGETATION Raw products and Synthesis products provided coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It provided a daily coverage between Latitudes 35°N and 75°N, and between 35°S and 56°S, and a full coverage every two days at the equator. The VEGETATION instrument was pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allowed a continuous series of identical products to be generated, with the goal to map land cover and vegetation growth across the entire planet every two days. Level Synthesis Resolution resolution (m) Reflectance Level-1C n/a TOA Level-2A n/a 100 m TOA 333 m TOA 1 km TOA Level-3 S1 100 m TOA TOC TOC NDVI 333 m TOA TOC 1 km TOA TOC S5 100 m TOA TOC TOC NDVI S10 333 m TOC TOC NDVI 1 km TOC TOC NDVI Raw Products Overview Product Description Level-1C Level-1C segments (P – product): Radiometrically corrected Level-1B data, in raw sensor geometry (unprojected) Contains: - Top Of Atmosphere reflectance in the four spectral bands - Longitude/latitude information for every pixel - Geometric viewing conditions - Information on the status map (indicating missing and interpolated measurements). Format: HDF5 & GeoTiFF Level-2A Level-2A segment: projected Level-1C (P–product) data, radiometrically and geometrically corrected. Contains: - TOA reflectance values in the four spectral bands without atmospheric correction being performed - Information on the status map (containing identification of radiometric quality, snow, ice, shadow, clouds, land/sea for every pixel) - Geometric viewing conditions Plate carrée projection (EPSG:4326) with spatial resolution of 100 m, 333 m and 1 km Format: HDF5 & GeoTiFF Synthesis Products Overview Level-3 S1 = daily, S5 = 5 days, S10 = decade Different spatial resolution: 100 m, 333 m and 1 km Divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file Plate carrée projection (EPSG:4326) Format: HDF5 & GeoTiFF Products Content TOA - Top Of Atmosphere reflectance in the four spectral bands (no atmospheric correction applied) - Normalized Difference Vegetation Index (NDVI) -Information on the composite status map (containing identification of snow, ice, shadow, clouds, land/sea for every pixel) - Geometric viewing conditions & date and time of selected measurement TOC Level-2A segment: projected Level-1C (P–product) data, radiometrically and geometrically corrected. Contains: - Top Of Canopy (ground surface) reflectance in the four spectral bands, the atmospheric correction being performed using the SMAC (Simplified Method for Atmospheric Corrections) algorithm - Normalized Difference Vegetation Index (NDVI) - Information on the composite status map (containing identification of snow, ice, shadow, clouds, land/sea for every pixel) Normalized Difference Vegetation Index (NDVI) from Top Of Canopy product (SMAC algorithm for atmospheric corrections applied) - Geometric viewing conditions & date and time of selected measurement TOC NDVI Normalized Difference Vegetation Index (NDVI) from Top Of Canopy product (SMAC algorithm for atmospheric corrections applied)