Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
United Kingdom
CEDA
The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.1 pixel product is distributed as 6 continental tiles and is based upon surface reflectance data from the OLCI and SLSTR instruments (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites. This information is complemented by VIIRS thermal information. This product, called FireCCIS311 for short, is available for the years 2019 to 2024.The FireCCIS311 Pixel product described here includes maps at 0.002777-degree (approx. 300m) resolution. Burned area (BA) information includes 3 individual files, packed in a compressed tar.gz file: date of BA detection (labelled JD), the confidence level (CL, a probability value estimating the confidence that a pixel is actually burned), and the land cover (LC) information as defined in the Copernicus Climate Change Service (C3S) Land Cover v2.1.1 product. An unpacked version of the data is also available. For further information on the product and its format see the Product User Guide in the linked documentation.
ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 SYN Burned Area Pixel product, version 1.1
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data was produced by the ESA Fire CCI team as part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open Data Portal.
Product User Guide
EARTH SCIENCE>HUMAN DIMENSIONS>NATURAL HAZARDS>WILDFIRES>BURNED AREA
EARTH SCIENCE>HUMAN DIMENSIONS>ENVIRONMENTAL GOVERNANCE/MANAGEMENT>FIRE MANAGEMENT
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>BIOSPHERE>ECOLOGICAL DYNAMICS>FIRE ECOLOGY>FIRE DISTURBANCE
OLCI
burned area
fire
Level 3S
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Pixel
Burned Area
Fire Disturbance
Climate Change
GCOS
orthoimagery
Unavailable

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
Rutherford Appleton Laboratory, Harwell
United Kingdom
CEDA
This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project.Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. The five thematic climate variables included in this dataset are:â¢ Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.â¢ Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.â¢ Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. â¢ Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. â¢ Lake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).Data generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.0
Under the following licence appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
The first version of this dataset was generate in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
EARTH SCIENCE>ATMOSPHERE
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER ECOSYSTEMS>LAKE/POND>MONTANE LAKE
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
ENVISAT
METOP-A
TOPEX/POSEIDON
AATSR
MERIS
SSALT
OLCI
Envisat
GFO
Metop-A
SARAL
Topex/Poseidon
AltiKa
VIIRS
lakes
MODIS
MSS
OLI
RA
TM
SRAL
Public data: access to these data is available to both registered and non-registered users.
ESA
CCI
Lakes
ECV
orthoimagery
Unavailable

FR/CNES
Geoscientific Information
CLIMATE APPLICATIONS: The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.
EARTH SCIENCE>OCEANS>COASTAL PROCESSES>SEA LEVEL RISE
EARTH SCIENCE>ATMOSPHERE
ENVISAT
SARAL
TOPEX/POSEIDON
RA
ALTIKA Altimeter
Sentinel-3 SRAL
SSALT
Envisat
ALTIKA
SRAL
Sea Level
ECV
GFO-GFO
ALT
AltiKa
TOPEX-Poseidon

ESA/ESRIN
Geoscientific Information
CLIMATE APPLICATIONS: Global sea-level budget, Antarctic mass balance interpretation, Greenland mass balance interpretation. Products from CCI are not publicly released yet (due Apr 2017). Similar data was used in McMillan et al, 2014. GRL, Increased ice losses from Antarctica detected by CryoSat-2 doi:10.1002/2014GL060111
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS>ICE SHEETS
ENVISAT
SIRAL
RA
Sentinel-3 SRAL
Envisat
SRAL
Ice Sheets
ECV

UC-LONDON/CPOM
Geoscientific Information
CLIMATE APPLICATIONS: Model initialisation and evaluation, global warming. Reference: Allard et al. (in press) Utilizing CryoSat-2 Sea Ice Thickness to Initialize a Coupled Ice-Ocean Modeling System, Advances in Space Research
EARTH SCIENCE>CRYOSPHERE>SEA ICE
SIRAL
Sentinel-3 SRAL
Sea Ice

UC-LONDON/CPOM
CLIMATE APPLICATIONS: Global sea-level budget, Antarctic mass balance interpretation, Greenland mass balance interpretation. Products from CCI are not publicly released yet (due Apr 2017). Similar data was used in McMillan et al, 2014. GRL, Increased ice losses from Antarctica detected by CryoSat-2 doi:10.1002/2014GL060111
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS>ICE SHEETS
SIRAL
Ice Sheets

FR/CNES
CLIMATE APPLICATIONS:
EARTH SCIENCE>OCEANS>COASTAL PROCESSES>SEA LEVEL RISE
SARAL
TOPEX/POSEIDON
ALTIKA Altimeter
SSALT
ALTIKA
Sea Level
GFO-GFO
ALT
AltiKa
TOPEX-Poseidon

CLIMATE APPLICATIONS: reduction in uncertainty of the quantitative role of aerosols in climate forcing; validate and improve the capability of climate simulation models and reanalyses to represent aerosol effects;
EARTH SCIENCE>ATMOSPHERE>AEROSOLS
AATSR
SLSTR
Aerosol Properties

ESA/ESRIN
Copernicus Sentinel-3/OLCI derived Phycocianin concentration over Tietê River. [Lima et al. (2025)](https://doi.org/10.1016/j.hal.2025.102836)
Sentinel-3 - Phycocianin - Cloud Optimized GeoTIFF
OLCI
pc
olci
phycocianin
cloud optimized geotiff
cog
earth observation
brazil