Service & Data Portfolio

The EO4SD Lab provides access to a range of thematic processing services and supporting interactive tools and applications. Table 1 lists the service portfolio, with services grouped by theme. For each service a short service guide is provided which describes how to run the service and the products generated. Table 2 provides details of the interactive GUI applications that can be run within the EO4SD Lab itself.  The EO4SD Lab User Manual provides detailed guidance on how to use the portal including accessing and running each service and tool. Table 3 provides an overview of the accessible EO data. 

 

Table 1: Processing Services

EO data visualisation
Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
RASTER

This service allows to generate full resolution RGB (optical) and single-channel (SAR) GeoTiff images from EO data products. The output GeoTiff is displayed in geobrowser with the possibility to access product metadata and download original dataset to be used in further processing. The service supports a variety of optical and SAR detected products from the following missions: Pleiades 1A/1B, SPOT- 6/-7, Sentinel-2A/2B L1C, Landsat-8 L1, UK-DMC 2 L1T, Kompsat-2/-3 L1G, Kompsat-5 L1D, Kanopus-V, Resurs-P, Terrasar-X L1B, Sentinel-1A/1B GRD, ALOS-2 L15, Radarsat-2 SGS SAR, Rapideye L3A, VRSS1 L2B, GF-2 L2A, Sentinel-3 EFR). Note that the current verison of the EO4SD Lab provides access to Sentinel-1, Sentinel-2, Sentinel-3 and Landsat-8 data. In case of Sentinel-1 IW data the resolution is 20mx20m in order to increase the number of looks and reduce image size. A short service guide is provided here.

Note that this service supports additional EO input datasets beyond those available in the current version of EO4SD Lab

 EO data visualisation  • Sentinel-1 GRD
• Sentinel-2 L1C
• Sentinel-3 EFR
• Landsat-8 L1 

 
• Full resolution images (GeoTIFF) on-demand Global

COIN

This service provides geocoded composites of coherence and amplitude images from a pair of Sentinel-1 IW or EW SLC data pairs. SNAP is a common architecture for all Sentinel Toolboxes, which is ideal for Earth Observation processing and analysis.

A short service guide is provided here.

SAR processing & visualisation  Sentinel-1 IW SLC / EW SLC • Coherence and Intensity RGB combination
• Coherence product
• Backscatter average product
• Backscatter difference product
• Sigma Master and Slave RGB combination
• Sigma Master product
• Sigma Slave product
on-demand Global (Sentinel-1 IW coverage)
COMBI The Band Combination service provides RGB combination from user defined bands of single or multiple EO data products. The service supports optical and SAR detected products from the following missions: ALOS-2 (L1.5), GF-2 (L2A), Kanopus-V IK (MSS_PSS), Kompsat-2/-3 (L1G PAN_MS), Kompsat-5 (L1D GTC), Landsat 8 (L1TP,L1T,L1GT), Pleiades 1 (ORTHO), Radarsat-2 (SGF), Rapideye (L3A ORTHO), Resurs-P (KSHMSA), Sentinel-1 (L1 GRD), Sentinel-2 (L1C, L2A), Sentinel-3 (L1 OLCI ERR/EFR, L1 SLSTR RBT), SPOT- 6/-7 (L3 ORTHO), Terrasar-X (L1B EEC), UK-DMC 2 (L1T), VRSS1 (L2B). For selected sensors visualisation enhacements are available. A short service guide is provided here.
Note that this service supports additional EO input datasets beyond those available in the current version of EO4SD Lab. Also note this version only supports Sentinel-1, Sentinel-2 data & Sentinel-3, this will be expanded forthcoming releases.
EO data visualisation  • Sentinel-1 GRD
• Sentinel-2 L1C
• Sentinel-3 OLCI EFR / ERR
•  RGB band combination (GeoTIFF) on-demand Global
Sen2Agri Cloud-free Composite  

This Sen2Agri service combines and processes a number of Sentinel-2 L2A images to create a cloud-free temporal synthesis of surface reflectance bands designed for land observations (L3A). A service guide is provided here

Generation of products relevant for agricultural monitoring  • Sentinel-2 L2A

 
• Cloud-free Reflectance Composite L3A on-demand Global
S-2 True Colour  This service generates a natural (true) colour image from a Sentinel-2 L1C image, using the SNAP Sentinel Toolbox. This uses a combination of Blue (Band 2), Green (Band 3) and Red (Band 4) bands. A short service guide is provided here. Product generation • Sentinel-2 L1C True Color Geotiff on-demand Global
Active Fire  This active fire service creates an image using a combination of Sentinel-2 L1C visible, near infrared and short-wave infrared spectral bands that emphasises regions of active fire. This is not a classification, rather its can be used to help visually identify regions of active fire. A short service guide is provided here Visualisation.  • Sentinel-2 L1C

 

• RGB band combination (GeoTiff)   on-demand Global

 

 

Agricultural monitoring

Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
Sen2Agri Surface Reflectance  

This Sen2Agri service generates a L2A bottom-of-atmosphere reflectance product using the MACCS-ATCOR Joint Algorithm (MAJA). This service should be run prior to any other Sen2Agri service. A service guide is provided here

Generation of atmospherically correction image products  • Sentinel-2 L1C

 
• Bottom-of-atmosphere Reflectance L2A product on-demand Global
Sen2Agri Cloud-free Composite  

This Sen2Agri service combines and processes a number of Sentinel-2 L2A images to create a cloud-free temporal synthesis of surface reflectance bands designed for land observations (L3A). A service guide is provided here

Generation of products relevant for agricultural monitoring  • Sentinel-2 L2A

 
• Cloud-free Reflectance Composite L3A on-demand Global
Sen2Agri Dynamic Cropland Mask  

This Sen2Agri service processes Sentinel-2 L2A imagery to create a Cropland mask, which is a binary mask separating annual cropland areas and other areas at 10m spatial resolution. Masks are generated throughout the agricultural season incorporating additional Sentinel-2 images. The output will be a L4A Product. A short service guide is provided here

Generation of products relevant for agricultural monitoring • Sentinel-2 L2A
 
 
• Cropland Mask L4A on-demand Global
Sen2Agri Crop Type Map  

This Sen2Agri service processes Sentinel-2 L2A imagery to create a Crop type map, which is a map of the main crop types, as defined by the user-supplied training data. The output will be a L4B product.A short service guide is provided here.

Generation of products relevant for agricultural monitoring • Sentinel-2 L2A

 
•  Crop Type Map L4B on-demand Global
Sen2Agri Leaf Area Index

 

This service generates a Leaf Area Index (LAI) product from Sentinel-2 L2A products (generated using Sen2Agri L2A service). LAI is a commonly used biophysical parameter that characterises the plant canopy. A short service guide is provided here.

Generation of vegetation index relevant for agricultural monitoring • Sentinel-2 L2A
 
 
• LAI on-demand Global
Soil Moisture.

This service provides general information on soil moisture for given input data and date. It uses a range of different EO datasets including Sentinel-1, Sentinel-2, SMAP and MODIS. The service produces a single layer with showing the soil moisture in a >=20m resolution. Values can range from 0 to 1 and represent percentage of soil moisture [0%,100%]. A short service guide is provided here. Please note that this initial version of the service is limited to pre-processed data over three test sites (Austria, Slovenia & Denmark) and for specific data. A spreadsheet of the available dates is provided here. A more extensive service with on-demand processing of user-defined locations will be available in November / December 2020.

Generation of maps of soil moisture  Various EO mission, note the user does not need to define input EO data to be processed, that is done within the system. Percentage of Soil Moisture on demand (provision of pre-processed data) Current version is limited to three locations; Denmark, Slovenia and Austria
Normalised Difference Bareness Index

This service calculates a Normalised Difference Bareness Index (NDBal) from a Sentinel-2 L1C image, using the SNAP Sentinel Toolbox. This uses a combination of SWIR and TIR to highlight regions of bare land. This service was originally developed within the FS-TEP project. A short service guide is provided here.

Generation of Normalised Difference Bareness Index  Sentinel-2 L1C NDBal index on demand Global

 

 

Land cover & land cover changes

Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
Basic land cover classification

Cloud-based API service producing a land cover (LC) map with eight basic land cover types based on a random forest classifier. Such maps provide a snapshot of the LC present in an area of interest at a given time. Multiple LC maps can be combined into a time series to detect land cover changes associated with a particular driver. A short service guide is provided here. Generation of Land Cover maps Sentinel-2
Sentinel-1
Land Cover including 8 classes (built-up, flat sealed surface, permanent soil, snow and ice, bare rock, water, forest, on demand Global
LandCoverS2  This service creates a land cover map from input Sentinel-2 L1C images along with a user-defined reference / training data. It uses the Random forest supervised classification method. The output will be a classified image along with classification metrics. Originally developed by the F-TEP project. A short service guide is provided here. Generation of land cover products  • Sentinel-2 L1C

 

Land cover classified images in geotiff. Classes are determined by the training data, which will be provided in a user-uploaded shapefile. Also a confusion matrix (csv) for the classification and a training model (txt). on-demand Global
ForestChangeS2  This service performs forest change mapping based on the ratio of red reflectance between two Sentinel-2 L1C images from the same S-2 tile. Originally developed by the F-TEP project. A short service guide is provided here. Generation of land cover change products  • Sentinel-2 L1C

 

Geotiff with forest change between input images   on-demand Global
Burned Area  This Burned Area service creates a difference Normalised Burn Ratio (dNBR) from two Sentinel-2 images taken from before and after a fire event. The NBR uses a combination of NIR and SWIR bands to monitor vegetation canopy structure. A significant decrease in such NBR levels can indicate removal of vegetation that would occur during a fire event. The Burned Area service uses the color classification proposed by the United States Geological Service (USGS) to interpret the burn severity. A short service guide is provided here Index and product generation.  • Sentinel-2 L1C

 

• Difference NBR  on-demand Global

 

 

Vegetation monitoring

Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
S-2 NDVI This service calculates a Normalised Difference Water Index (NDWI) from a Sentinel-2 L1C image, using the SNAP Sentinel Toolbox. This uses a combination of green and NIR bands to highlight regions of water. This service was originally developed within the FS-TEP project. This service was originally developed within the FS-TEP project. A short service guide is provided here.
Generation of indices relevant for vegetation and land monitoring  • Sentinel-2 L1C
NDVI
 
on demand Global
Vegetation Indices  This service processes Sentinel-2 L1C images to create various radiometric indices that are relevant for vegetation monitoring including NDVI, SAVI, TNDVI, RVI and GEMI. This service was originally created within the Forestry-Thematic Exploitation Platform (F-TEP) project. A short service guide is provided here. Index generation.  • Sentinel-2 L1C

 

Various radiometric / vegetation indices (NDVI, TNDVI, RVI, SAVI, TSAVI, MSAVI, MSAVI2, GEMI, IPVI) - all in GeoTIFF format on-demand Global
Radiometric Indices Fully automated processing services for the generation of important vegetation indices including NDVI, NDWI and SAVI. Users can select additional pre-processing step to remove atmospheric variations in the data. A short service guide is provided here.
Generation of indices relevant for land monitoring  • Sentinel-2
Service output products include:
- NDVI
- NDWI
- SAVI

 
on demand Global
Leaf Area Index  This GeoVille service processes Sentinel-2 data to create a Leaf Area Index (LAI) product. LAI is an important variable used to predict photosynthetic primary production, evapotranspiration and as a reference tool for crop growth. Unlike the Sen2Agri LAI service, this GeoVille service does not require data to be processed to L2A beforehand. A short service guide is provided here. Index generation.  • Sentinel-2 L2A

 

Leaf Area Index (LAI) product on-demand Global

 

 

Forestry monitoring

Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
Vegetation Indices  This service processes Sentinel-2 L1C images to create various radiometric indices that are relevant for vegetation monitoring including NDVI, SAVI, TNDVI, RVI and GEMI. This service was originally created within the Forestry-Thematic Exploitation Platform (F-TEP) project. A short service guide is provided here. Index generation.  • Sentinel-2 L1C

 

Various radiometric / vegetation indices (NDVI, TNDVI, RVI, SAVI, TSAVI, MSAVI, MSAVI2, GEMI, IPVI) - all in GeoTIFF format on-demand Global
S-2 NDVI This service calculates a Normalised Difference Water Index (NDWI) from a Sentinel-2 L1C image, using the SNAP Sentinel Toolbox. This uses a combination of green and NIR bands to highlight regions of water. This service was originally developed within the FS-TEP project. This service was originally developed within the FS-TEP project. A short service guide is provided here.
Generation of indices relevant for vegetation and land monitoring  • Sentinel-2 L1C
NDVI
 
on demand Global
Basic land cover classification

Cloud-based API service producing a land cover (LC) map with eight basic land cover types based on a random forest classifier. Such maps provide a snapshot of the LC present in an area of interest at a given time. Multiple LC maps can be combined into a time series to detect land cover changes associated with a particular driver. A short service guide is provided here. Generation of Land Cover maps Sentinel-2
Sentinel-1
Land Cover including 8 classes (built-up, flat sealed surface, permanent soil, snow and ice, bare rock, water, forest, on demand Global
LandCoverS2  This service creates a land cover map from input Sentinel-2 L1C images along with a user-defined reference / training data. It uses the Random forest supervised classification method. The output will be a classified image along with classification metrics. Originally developed by the F-TEP project. A short service guide is provided here. Generation of land cover products  • Sentinel-2 L1C

 

Land cover classified images in geotiff. Classes are determined by the training data, which will be provided in a user-uploaded shapefile. Also a confusion matrix (csv) for the classification and a training model (txt). on-demand Global
ForestChangeS2  This service performs forest change mapping based on the ratio of red reflectance between two Sentinel-2 L1C images from the same S-2 tile. Originally developed by the F-TEP project. A short service guide is provided here. Generation of land cover change products  • Sentinel-2 L1C

 

Geotiff with forest change between input images   on-demand Global
Burned Area  This Burned Area service creates a difference Normalised Burn Ratio (dNBR) from two Sentinel-2 images taken from before and after a fire event. The NBR uses a combination of NIR and SWIR bands to monitor vegetation canopy structure. A significant decrease in such NBR levels can indicate removal of vegetation that would occur during a fire event. The Burned Area service uses the color classification proposed by the United States Geological Service (USGS) to interpret the burn severity. A short service guide is provided here Index and product generation.  • Sentinel-2 L1C

 

• Difference NBR  on-demand Global
Leaf Area Index  This GeoVille service processes Sentinel-2 data to create a Leaf Area Index (LAI) product. LAI is an important variable used to predict photosynthetic primary production, evapotranspiration and as a reference tool for crop growth. Unlike the Sen2Agri LAI service, this GeoVille service does not require data to be processed to L2A beforehand. A short service guide is provided here. Index generation.  • Sentinel-2 L2A

 

Leaf Area Index (LAI) product on-demand Global

 

 

Water & Wetlands Monitoring

Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
Surface Water extent and frequency This service provides binary water / non-water masks for a given time and area. A time series of such binary water layers can be combined to produce a water frequency map (e.g. annual map composed of twelve monthly binary maps) which in turn allows for the differentiation of permanent water bodies, temporary water bodies, and flood plains.A short service guide is provided here.
Generation of indices and products focused on surface water mapping   
Sentinel-2
Sentinel-1
Water and Wetness Layer (including 4 classes: no water/wet areas, permanent water, temporary water, permanently wet area, temporary wet area)
Water and Wetness Probability Index
on demand Global
Wetland inventory   This service provides a classification of temporary and permanent wetlands as well as temporary and permanent water bodies for a given year based on Sentinel-1 and Sentinel-2 imagery. A short service guide is provided here. Generation of wetland inventory maps  Sentinel -2
Sentinel-1
Wetland inventory (identification and delineation of wetland areas over large river catchments),
Wetland habitat mapping (detailed classification of land cover/use types inside and around a wetland site)
Date of API available to be confimed, likley to be similar to the other GeoVille API services.
on demand Global
Normalised Difference Water Index This service calculates a Normalised Difference Water Index (NDWI) from a Sentinel-2 L1C image, using the SNAP Sentinel Toolbox. This uses a combination of green and NIR bands to highlight regions of water. This service was originally developed within the FS-TEP project. This service was originally developed within the FS-TEP project. A short service guide is provided here here.
Generation of index to aid surface water identification  
Sentinel-2 L1C NDWI Index scaled between -1 and +1, with visible water having higher values on demand Global

 

 

Pre-processing services

Name  Description  Service Type  Supported EO sensors  Service output products  Type of service Coverage
Sen2Agri Surface Reflectance  

This Sen2Agri service generates a L2A bottom-of-atmosphere reflectance product using the MACCS-ATCOR Joint Algorithm (MAJA). This service should be run prior to any other Sen2Agri service. A service guide is provided here

Generation of atmospherically correction image products  • Sentinel-2 L1C

 
• Bottom-of-atmosphere Reflectance L2A product on-demand Global

Interactive GUI applications 

The EO4Sd Lab also provides the following interactive applications for data visualisation and analysis: 

Table 2: Interactive tools and applications

Name / Type  Description  Supported formats 
SNAP Sentinel Applications Platform (SNAP), an application for processing and analysis of Sentinel and other data - by Brockmann Consult, Array Systems Computing and C-S. Both v5.0 and v7.0 are provided. A variety of imagery from common EO missions including Sentinels, Landsat, Envisat etc 
QGIS  QGIS v2.18, a free and open source Geographic Information System  most commonly used geospatial vector and raster formats such as shapefiles and Geotiff
Monteverdi  Satellite image viewer and analysis tool from the open source OrfEO Toolbox v5.8.0  several input types 

 

It is planned that the EO4SD Lab range of supported processors, tools and applications will expand after initial deployment based. 

 

Data Offering 

The EO4SD Lab gives the user access to a range of EO-data, most significantly from the Copernicus Sentinel programme. The table below provides an overview of the data currently available. This will be expanded through the course of the project to provide access to the datasets most helpful for users.  

Table 3: Available data on EO4SD Lab 

Dataset   Instrument  Product Availability 
Sentinel-1A & Sentinel-1B SAR C-Band GRD Full archive 
    OCN Last 6 months
    RAW Europe full archive 
    SLC Last 6 months / orderable 
Sentinel-2A & Sentinel-2B MSI L1C Full archive 
    L2A Limited Archive; can also be orderable from CREODIAS
Sentinel-3A & Sentinel-3B SLSTR L1 SLSTR  Full archive
  OLCI L1 OLCI Full archive 
  SRAL L1 SRAL Full archive 
  SLSTR L2 SLSTR (LST/WST) Full archive
  OLCI L2 OLCI Full archive 
  SRAL L2 SRAL Full archive 
Sentinel-5P TROPOMI L1B Full archive 
  TROPOMI L2 Full archive 
Landsat-5 TM L1G, L1T, L1GT Coverage of Europe (1984 to 2011)
Landsat-7 ETM L1G, L1T, L1GT Coverage of Europe (1999 to 2017)
Landsat-8 OLI, OLI TIRS L1G, L1GT Coverage of Europe 
Envisat  MERIS L1 Global (2002 to 2012)
SMOS MIRAS L1B, L1C, L2 Global (2010 to present)

 

The current version of the EO4SD Lab also provides access to a range of EO-information products from the Copernicus Land Monitoring Services. It is planned that more useful information products, such as from the other Copernicus services (such those focusing on Marine, Atmosphere and Emergencies) will be added to the portal in the coming months.