ESA/ESRIN
This is a development product aimed at providing Copernicus Sentinel-2/MSI remote sensing reflectance (Rrs) over water bodies all over Brazil. The product provides orthorectified remote sensing reflectance images (Rrs) processed with ACOLITE atmospheric correction and delivered as Cloud Optimized GeoTIFF (COG). Cloud masking was performed using Fmask 5.0.1 (https://doi.org/10.1016/j.rse.2019.05.024). Currently, data availability is limited to the Tietê River cascade reservoirs; future updates will progressively expand coverage to additional water bodies throughout Brazil.
Sentinel-2 - MSI - MAPAQUALI - Aquatic Remote Sensing Reflectance
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>TERRESTRIAL HYDROSPHERE>SURFACE WATER
Sentinel-2 MSI
MSI
msi
remote sensing reflectance
mapaquali
Rrs
water
cloud optimized geotiff
cog
acolite
earth observation
brazil

EEA
EC
The Sentinel-2 Snow Phenology (SPS2) product is generated once a year at European scale, based on Fractional Snow Cover (FSC) products calculated from Sentinel-2 optical data. This product describes the snow season in terms of temporality as it provides, within an hydrological year and for each pixel, the number of days with snow cover, as well as the first and the last day of the longest observed snow period. The hydrological year starts from 1st September. The product has a spatial resolution of 20 m x 20 m, as does the input FSC product.
Snow Phenology Sentinel-2 2016-present (raster 20 m), Europe, annually
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
EARTH SCIENCE>TERRESTRIAL HYDROSPHERE>SURFACE WATER
EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS
EARTH SCIENCE>ATMOSPHERE>CLOUDS
Sentinel-2 MSI
MSI
HR-WSI
Water snow and ice monitoring
monitoring
land cover
water
snow
ice
clouds
high resolution
near real time
pan-European
CLMS
Copernicus
climate change impact
landscape alteration
environmental policy
msi
Magellium/CESBIO

ESA/ESRIN
EC
The Sentinel-2 Level-2A Collection 1 product provides orthorectified Surface Reflectance (Bottom-Of-Atmosphere: BOA), with sub-pixel multispectral and multitemporal registration accuracy. Scene Classification (including Clouds and Cloud Shadows), AOT (Aerosol Optical Thickness) and WV (Water Vapour) maps are included in the product.
Sentinel-2 Level-2A
EARTH SCIENCE>CRYOSPHERE>SNOW/ICE>REFLECTANCE
Sentinel-2 MSI
MSI
Copernicus
Sentinel
EU
ESA
Satellite
Global
Imagery
Reflectance
msi

ESA/ESRIN
EC
The Level-1C product is composed of 110x110 km2 tiles (ortho-images in UTM/WGS84 projection). Earth is subdivided on a predefined set of tiles, defined in UTM/WGS84 projection and using a 100 km step. However, each tile has a surface of 110x110 kmÂ² in order to provide large overlap with the neighbouring. The Level-1C product results from using a Digital Elevation Model (DEM) to project the image in cartographic geometry. Per-pixel radiometric measurements are provided in Top Of Atmosphere (TOA) reflectances along with the parameters to transform them into radiances.
Sentinel-2 Level-1C
EARTH SCIENCE>CRYOSPHERE>SNOW/ICE>REFLECTANCE
Copernicus
Sentinel
EU
ESA
Satellite
Global
Imagery
Reflectance

The Sentinel-2 Level-2A MSI (MultiSpectral Instrument) product contains atmospherically corrected Surface Reflectances in cartographic geometry and are a compilation of elementary granules of fixed size (100x100kmÂ²), containing all possible spectral bands within a single orbit.
Sentinel-2 Level-2A
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
vito
terrascope
copernicus
esa
orthoimagery
VITO

EEA
The Sentinel-2 Snow Phenology (SPS2) product is generated once a year at European scale, based on Fractional Snow Cover (FSC) products calculated from Sentinel-2 optical data. This product describes the snow season in terms of temporality as it provides, within an hydrological year and for each pixel, the number of days with snow cover, as well as the first and the last day of the longest observed snow period. The hydrological year starts from 1st September. The native product has a spatial resolution of 20 m x 20 m, as does the input FSC product. This product corresponds to a resampling at 100m and a reprojection of the native product to the LAEA (Lambert azimuthal equal-area projection) grid.
Snow Phenology Sentinel-2 2016-present (raster 100 m, LAEA projection), Europe, annually
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
EARTH SCIENCE>TERRESTRIAL HYDROSPHERE>SURFACE WATER
EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
EARTH SCIENCE>CRYOSPHERE>GLACIERS/ICE SHEETS
EARTH SCIENCE>ATMOSPHERE>CLOUDS
HR-WSI
Water snow and ice monitoring
monitoring
land cover
water
snow
ice
clouds
high resolution
near real time
pan-European
CLMS
climate change impact
landscape alteration
environmental policy
Magellium/CESBIO

FAPAR corresponds to the fraction of photosynthetically active radiation absorbed by the canopy. The FAPAR value results directly from the radiative transfer model in the canopy which is computed instantaneously. It depends on canopy structure, vegetation element optical properties and illumination conditions. FAPAR is very useful as input to a number of primary productivity models which run at the daily time step. Consequently, the product definition should correspond to the daily integrated FAPAR value that can be approached by computation of the clear sky daily integrated FAPAR values as well as the FAPAR value computed for diffuse conditions. The SENTINEL 2 FAPAR product corresponds to the instantaneous black-sky around 10:15 which is a close approximation of the daily integrated black-sky FAPAR value. The FAPAR refers only to the green parts of the canopy.FAPAR corresponds to the fraction of photosynthetically active radiation absorbed by the canopy.The FAPAR value results directly from the radiative transfer model in the canopy which is computed instantaneously. It depends on canopy structure, vegetation element optical properties and illumination conditions. FAPAR is very useful as input to a number of primary productivity models which run at the daily time step. Consequently, the product definition should correspond to the daily integrated FAPAR value that can be approached by computation of the clear sky daily integrated FAPAR values as well as the FAPAR value computed for diffuse conditions. The SENTINEL 2 FAPAR product corresponds to the instantaneous black-sky around 10:15 which is a close approximation of the daily integrated black-sky FAPAR value. The FAPAR refers only to the green parts of the canopy.
Sentinel-2 Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) (tiles) - V2
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>VEGETATION>PHOTOSYNTHETICALLY ACTIVE RADIATION>FRACTION OF ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION (FAPAR)
vito
terrascope
copernicus
esa
orthoimagery
radiometry
plant resource
fapar
VITO

The Sentinel-2 CWC corresponds to the Canopy Water Content.
Sentinel-2 Canopy Water Content (CWC) (tiles) - V2
EARTH SCIENCE>OCEANS>WATER QUALITY
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>CHLOROPHYLL
vito
terrascope
copernicus
esa
orthoimagery
radiometry
water quality
water index
chlorophyll
VITO

The Sentinel-2 Level-2A Collection 1 product provides orthorectified Surface Reflectance (Bottom-Of-Atmosphere: BOA), with sub-pixel multispectral and multitemporal registration accuracy. Scene Classification (including Clouds and Cloud Shadows), AOT (Aerosol Optical Thickness) and WV (Water Vapour) maps are included in the product.
Sentinel-2 Level-2A TLM
EARTH SCIENCE>CRYOSPHERE>SNOW/ICE>REFLECTANCE
ESA
EU
Global
Imagery
Optical
Reflectance
Satellite
Sentinel

Fraction of vegetation Cover (FCOVER) corresponds to the gap fraction for nadir direction. It is used to separate vegetation and soil in energy balance processes, including temperature and evapotranspiration. It is computed from the leaf area index and other canopy structural variables and does not depend on variables such as the geometry of illumination as compared to FAPAR. For this reason, it is a very good candidate for the replacement of classical vegetation indices for the monitoring of green vegetation. Because of the linear relationship with radiometric signal, FCOVER will be only marginally scale dependent. Note that similarly to LAI and FAPAR, only the green elements will be considered, either belonging both to the overstorey and understorey.
Sentinel-2 Fraction of Vegetation Cover (FCOVER) (tiles) - V2
radiometry
plant resource
fcover