Sentinel-2 Products
Terrascope provides Sentinel-2 Top-of-Atmosphere (TOA, Level-1C), Top-of-Canopy-(TOC, Level-2A) reflectance data, as well as value-added TOC biophysical indicators. An overview of the various data products is given below.
For both Level-1C and Level-2A, data are distributed in 100 \(\times\) 100 km2 tiles in Universal Transverse Mercator World Geodetic System 1984 (UTM/WGS84) projection with an overlap of 9.8 km between adjacent tiles. The tiling grid can be downloaded and additional information on the ESA Sentinel-2 data products and tiling strategy is available here.
Sentinel-2 Level-1C MSI product contains Top-of-atmosphere reflectances in cartographic geometry
Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-1C MSI (MultiSpectral Instrument) product contains Top-of-atmosphere reflectances in cartographic geometry and are a compilation of elementary granules of fixed size (100x100km2), containing all possible spectral bands within a single orbit.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2017/06/15 - Current |
ESA WorldCereal products for active cropland per agro-ecological zone - V1
The WorldCereal active cropland products provide binary maps for all growing seasons as defined by the WorldCereal global crop calendars, showing where active cropland has been detected. Seasonal active cropland is defined by the WorldCereal system as actively cultivated cropland during a specific growing season. In order for a pixel to be labeled as active during a particular growing season, a full crop growth cycle (sowing, growing, senescence and harvesting) needs to take place within the designated time period. Note that this active marker is not crop-type specific and only consider specific seasonality. This also means in practice that any crop grown (slightly) outside the predefined growing seasons will not be flagged as active cropland in any of the seasons covered by these products. The WorldCereal active cropland products were generated within the respective annual temporary crops mask.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/01/01 - Current |
ESA WorldCereal products for active irrigation per agro-ecological zone - V1
The WorldCereal active irrigation products provide binary maps for all growing seasons as defined by the WorldCereal global crop calendars, showing where active irrigation has been detected. Seasonally actively irrigated cropland is defined by the WorldCereal system as a piece of land that is extensively irrigated during a specific growing season where, without irrigation applied at regular intervals, crop growth would be significantly reduced or impossible. Incidental irrigation, such as irrigation that has been applied only during the sowing period of a crop, is not translated to actively irrigated cropland. The WorldCereal active irrigation products were generated within the respective annual temporary crops mask.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/01/01 - Current |
ESA WorldCereal products for maize per agro-ecological zone - V1
The WorldCereal maize products provide binary maps for the maize growing seasons as defined by the WorldCereal global crop calendars, showing where maize is grown. The WorldCereal maize products were generated within the respective annual temporary crops mask.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/01/01 - Current |
ESA WorldCereal products for springcereals per agro-ecological zone - V1
The WorldCereal spring cereals products provide binary maps for the spring cereals growing season as defined by the WorldCereal global crop calendars, showing where spring cereals are grown. This season describes the spring cereals season in northern latitudes. Spring cereals include wheat, barley and rye, which belong to the Triticeae tribe. These crops were grouped together because their spectral signatures and growing seasons were too similar to reliably distinguish them at a global scale. The WorldCereal spring cereals products were generated within the respective annual temporary crops mask.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/01/01 - Current |
ESA WorldCereal products for temporary crops per agro-ecological zone - V1
The WorldCereal annual temporary crops products identify land used for crops with a less-than-one-year growing cycle which must be newly sown or planted for further production after the harvest. Sugar cane, asparagus and cassava are also considered as temporary crops, despite the fact that they remain in the field for more than one year. The WorldCereal temporary crops products exclude perennial crops as well as (temporary) pastures. These products are generated once a year, the period being defined in a region by the end of the last growing season that is considered by the WorldCereal system.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/01/01 - Current |
ESA WorldCereal products for wintercereals per agro-ecological zone - V1
The WorldCereal winter cereals products provide binary maps for the winter cereals growing season as defined by the WorldCereal global crop calendars, showing where cereals are grown. This season describes the main cereals season in a region. Cereals include wheat, barley and rye, which belong to the Triticeae tribe. These crops were grouped together because their spectral signatures and growing seasons were too similar to reliably distinguish them at a global scale. The WorldCereal winter cereals products were generated within the respective annual temporary crops mask.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/01/01 - Current |
ESA WorldCover products 10 meter COG format on AWS
The WorldCover product will be released per 3 x 3 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/06/01 - Current |
ESA WorldCover 2020 products 10 meter COG format
The WorldCover product will be released per 3 x 3 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/06/01 - Current |
ESA WorldCover 2021 products 10 meter COG format on AWS
The WorldCover product will be released per 3 x 3 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2022/06/01 - Current |
ESA WorldCover 2021 products 10 meter COG format
The WorldCover product will be released per 3 x 3 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2022/06/01 - Current |
ESA WorldCover Sentinel-2 yearly NDVI percentiles color composite 2020, 10 meter COG format
The ESA WorldCover Sentinel-2 yearly NDVI percentiles color composite is released per 1 x 1 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -60.0, 180.0, 83.0] |
| Temporal extent | 2022/08/01 - Current |
ESA WorldCover Sentinel-2 yearly NDVI percentiles color composite 2021, 10 meter COG format
The ESA WorldCover Sentinel-2 yearly NDVI percentiles color composite is released per 1 x 1 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -60.0, 180.0, 83.0] |
| Temporal extent | 2022/08/01 - Current |
ESA WorldCover Sentinel-2 color image 2020, 10 meter COG format
The ESA WorldCover Sentinel-2 color image is released per 1 x 1 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2021/06/01 - Current |
ESA WorldCover Sentinel-2 color image 2021, 10 meter COG format
The ESA WorldCover Sentinel-2 color image is released per 1 x 1 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -90.0, 180.0, 90.0] |
| Temporal extent | 2022/08/01 - Current |
ESA WorldCover Sentinel-2 yearly SWIR median composite 2020, 10 meter COG format
The ESA WorldCover Sentinel-2 yearly SWIR median composite is released per 1 x 1 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -60.0, 180.0, 83.0] |
| Temporal extent | 2022/08/01 - Current |
ESA WorldCover Sentinel-2 yearly SWIR median composite 2021, 10 meter COG format
The ESA WorldCover Sentinel-2 yearly SWIR median composite is released per 1 x 1 degree tile.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -60.0, 180.0, 83.0] |
| Temporal extent | 2022/08/01 - Current |
Sentinel-2 Chlorophyll Canopy Content Index (CCC) (tiles) - V2
The Sentinel-2 CCC corresponds to the Chlorophyll Canopy Content Index.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2017/06/15 - Current |
Sentinel-2 Chlorophyll-a (CHL) (tiles) - V1
Chlorophyll-a concentration in inland, transitional and coastal water, generated combing the OC3 algorithm (O’Reilly et al., 1998) and the two-band algorithm from Gilerson et al. (2010). The OC3 algorithm is used by default, except in turbid productive inland and coastal waters where its performance is poor. In those cases the workflow switches to Gilerson et al. (2010). This switching occurs at pixel level, which might cause small artefacts. Chlorophyll-a concentrations can range from 0 mg m-3 up till 1000 mg m-3 in high abundance of harmful algae blooms (Schallens, 2006). Land and clouds are masked.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2017/06/15 - Current |
Sentinel-2 Chlorophyll Water Content Index (CWC) (tiles) - V2
The Sentinel-2 CWC corresponds to the Chlorophyll Water Content Index.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2017/06/15 - Current |
Sentinel-2 Fraction Absorbed Photosynthetically Radiation (FAPAR) (tiles) - V2
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.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2020/03/01 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Fraction of Vegetation Cover (FCOVER) (tiles) - V2
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.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2020/03/01 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Leaf Area index (LAI) (tiles) - V2
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.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2020/03/01 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Normalized Difference Vegetation Index (NDVI) (tiles) - V2
The Sentinel-2 Normalized Difference Vegetation Index (NDVI) is a proxy to quantify the vegetation amount. It is defined as NDVI=(NIR-Red)/(NIR+Red) where NIR corresponds to the reflectance in the near infrared band , and Red to the reflectance in the red band. It is closely related to FAPAR and is little scale dependant.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2020/03/01 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Water-Leaving Reflectance (RHOW) Products (tiles) - V1
L2A atmospheric corrected Water-Leaving reflectance (RHOW) products V1, generated using the iCOR processing tool.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84] |
| Temporal extent | 2015/06/23 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Suspended Particulate Matter (SPM) (tiles) - V1
Suspended particulate matter concentration in inland, coastal and transitional waters generated using a switching version of the semi-empirical single-band Nechad et al.(2010) algorithm. The algorithm switches between bands in function of the derived SPM concentrations. Lower wavelengths are more sensitive to small changes in low SPM concentration, but rapidly saturates with high SPM concentrations. Longer wavelengths saturate less at high SPM concentration, but are less sensitive for the low SPM concentrations. B04 (665 nm) is used for concentrations up till 50 g m-3 and B08 (865 nm) for concentrations > 150 g m-3. In between a weighted average of both bands is calculated. Land and clouds are masked.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2017/06/15 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Top of Canopy (TOC) Products (tiles) - V2
L2A atmospheric corrected Top-Of-Canopy (TOC) products V2, generated using the Sen2COR processing tool.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84] |
| Temporal extent | 2015/06/23 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
Sentinel-2 Turbidity (TUR) (tiles) - V1
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.
| Property | Value |
|---|---|
| Spatial extent | [-180.0, -84.0, 180.0, 84.0] |
| Temporal extent | 2017/06/15 - Current |
The Algorithm Theoretical Basis Document (ATBD) for this collection can be found here.
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