ESA/ESRIN
Optical data from the Copernicus Contributing Missions (CCM) consist of high-resolution satellite imagery provided by commercial mission operators. These datasets support the Copernicus programme in areas such as land monitoring, emergency response, security, and marine environment. The imagery covers a broad spectral range and is tailored for diverse operational and analytical applications.
Copernicus Contributing Missions Optical
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>CRYOSPHERE>SNOW/ICE>REFLECTANCE
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
ALOS
PlanetScope
QUICKBIRD
RAPIDEYE
REIS
GIS
HiRAIS
HRVIR
Sentinel-2 MSI
NAOMI
PRISM
RapidEye
PlanetScope Camera
BGI
MSI
HRG
Copernicus
ESA
EU
Imagery
Optical
Reflectance
Satellite
CCM
planetscope
rapideye
aeiss
awf
bgi
dem
dove
gis
hirais
hr
hrg
hrv
hrvi
hrvir
msi
naomi
opt
prism
rsi
vhri

ESA/ESRIN
Turbidity in inland, coastal and transitional waters, generated using a switching version of the semi-empirical single-band Nechad et al. (2009) approach. The algorithm switches between bands in function of the derived turbidity values. Lower wavelengths are more sensitive to small changes in the low turbidity range, but rapidly saturates with high turbidity. Longer wavelengths saturate less at high turbidity values, but are less sensitive for the low turbidity. B04 (665 nm) is used for turbidity levels up till 50 FNU and B08 (865 nm) for concentrations > 150 FNU. In between a weighted average of both bands is calculated. Land and clouds are masked.
Sentinel-2 Turbidity (TUR) (tiles) - V1
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>OCEANS>WATER QUALITY
EARTH SCIENCE>OCEANS>MARINE SEDIMENTS>TURBIDITY
EARTH SCIENCE>BIOSPHERE>VEGETATION>PHOTOSYNTHETICALLY ACTIVE RADIATION>FRACTION OF ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION (FAPAR)
Sentinel-2 MSI
MSI
vito
terrascope
copernicus
esa
orthoimagery
msi
radiometry
water quality
turbidity
fapar
VITO

ESA/ESRIN
The Sentinel-2 CCC corresponds to the Canopy Chlorophyll Content.
Sentinel-2 Canopy Chlorophyll Content (CCC) (tiles) - V2
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>OCEANS>WATER QUALITY
EARTH SCIENCE>OCEANS>OCEAN CHEMISTRY>CHLOROPHYLL
Sentinel-2 MSI
MSI
vito
terrascope
copernicus
esa
orthoimagery
msi
radiometry
water quality
water index
chlorophyll
VITO

L2A atmospheric corrected Water-Leaving reflectance (RHOW) products V1, generated using the iCOR processing tool.
Sentinel-2 Water-Leaving Reflectance (RHOW) (tiles) - V1
EARTH SCIENCE>OCEANS>WATER QUALITY
vito
terrascope
copernicus
esa
orthoimagery
radiometry
water quality
water leaving reflectance
VITO

LAI was defined by Committee of the Earth Observation System (CEOS) as half the developed area of the convex hull wrapping the green canopy elements per unit horizontal ground. This definition allows accounting for elements which are not flat such as needles or stems. LAI is strongly non linearly related to reflectance. Therefore, its estimation from remote sensing observations will be scale dependant over heterogeneous landscapes. When observing a canopy made of different layers of vegetation, it is therefore mandatory to consider all the green layers. This is particularly important for forest canopies where the understory may represent a very significant contribution to the total canopy LAI. The derived LAI corresponds therefore to the total green LAI, including the contribution of the green elements of the understory. The resulting SENTNEL LAI products are relatively consistent with the actual LAI for low LAI values and 'non-forest' surfaces; while for forests, particularly for needle leaf types, significant departures with the true LAI are expected.
Sentinel-2 Leaf Area Index (LAI) (tiles) - V2
EARTH SCIENCE>BIOSPHERE>VEGETATION>VEGETATION INDEX>LEAF AREA INDEX (LAI)
plant resource
lai

Sentinel-2 L2A atmospheric corrected Top-Of-Canopy (TOC) products V2.
Sentinel-2 Top of Canopy (TOC) Products (tiles) - V2
plant resource
toc

Sentinel-2 long-term monthly median data for the period 2017-2024.
Sentinel-2 Long-Term Monthly Median (2017-2024)

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
Copernicus
Sentinel
EU
ESA
Satellite
Global
Imagery
Reflectance

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

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 TLM
Global
Optical
Sentinel