About

  Actionable Datacubes

The Mundi Actionable Datacubes enable mastering Earth Observation data and develop innovative services that enable better and faster business decision making. Its powerful, easy-to-use, open standards based datacube service unleashes the Copernicus archives for access, processing, analysis, fusion and visualization of any-size EO data.

The Mundi Actionable Datacubes are available on the Mundi Marketplace.

The Mundi rasdaman Datacube services are based on the award-winning, world-leading pioneer datacube engine, rasdaman, Further, Mundi Datacubes are proud member of the EarthServer Datacube Federation, the world's largest location-transparent datacube federation of superscale data centers. The concepts implemented in rasdaman have massively shaped Big Data standards, such as the OGC WCPS geo datacube analytics language and the ISO Array SQL standard.

  Huh? Datacubes?

Not sure about datacube standards? See the EarthServer webinars for an easy-to-digest introduction to the datacube standards, from zero to hero. More practical tips can be found in the rasdaman cheatsheets and tutorial on OGC WCS/WCPS/WMS.

  rasdaman

Array Databases allow storing and querying massive multi-dimensional arrays, such as sensor, image, simulation, and statistics data appearing in domains like earth, space, and life science.

rasdaman ("raster data manager") has pioneered the field of array databases [VLDB 1994, VLDB 1997, SIGMOD 1998, VLDB 2003] and today is sets itself apart by its flexibility, performance, and scalability [SSDBM 2014, SIGMOD DanaC 2014, IJDE 2015]. Rasdaman embeds itself smoothly into relational databases, but can also run standalone on the file system. In fact, rasdaman still is the first fully implemented, operationally used system with an array query language and optimized, multi-parallel processing engine with unprecedented scalability. Deployments exceed tens of Petabytes; with EarthServer, intercontinental fusion of Petabyte datacubes is being established.

Explore the Mundi Actionable Datacubes

  Datacube Services

  Data Available

Quick links: [ Sentinel-1 | Sentinel-2 | Sentinel-3 | Sentinel-5p | EU-DEM ]

Sentinel-1

  • Global
    • GRD (Ground Range Detected)
      • Temporal extent: 2018-01-01 - 2020-06-30
      • Spatial extent: Global (EPSG:4326)
      • Naming scheme: S1_GRD_${modebeam}_${polarisation} where:
        • ${modebeam} - Acquisition modes (IW, EW)
        • ${polarisation} - C-band SAR polarisation (VV, VH, HH, HV)
    • SLC (Single Look Complex)
      • Under construction
  • Madrid, Spain
    • GRD (Ground Range Detected)
      • Temporal extent: 2019-01-18 - 2020-05-12 (one time slice per month)
      • Spatial extent: over Madrid (EPSG:4326, Lat[40.0823, 40.6848] and Long[-4.3341, -3.2574])
      • Naming scheme: S1_GRD_IW_${polarisation}_Madrid where:
        • ${polarisation} - C-band SAR polarisation (VV and VH)
    • SLC (Single Look Complex)
      • Temporal extent: 2019-01-18 - 2020-05-12 (one time slice per month)
      • Spatial extent: over Madrid (EPSG:4326, Lat[40.0823, 40.6848] and Long[-4.3341, -3.2574])
      • Naming scheme: S1_SLC_IW_${polarisation}_Madrid where:
        • ${polarisation} - C-band SAR polarisation (VV and VH)

Sentinel-2

Multiple datacubes are available, for each level, UTM zone, band and resolution:

  • Level-1C
    • Temporal extent: 2019-03-01 - 2020-04-15
    • Spatial extent: global
    • Naming scheme: S2_L1C_${utmCrsCode}_${band}_${resolution}, e.g. S2_L1C_32633_B01_10m, where:
      • ${utmCrsCode} - EPSG code for datacube CRS: 32601 - 32660 (N), 32701 - 32760 (S)
      • ${band} - B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B10, B11, B12, TCI and PVI
      • ${resolution} - 10m, 20m, 60m or 320m (band PVI)
      • Virtual Coverages - unified Level-1C UTM zones to global coverages in EPSG:4326 for each band
      • Naming scheme: S2_L1C_${band}_${resolution}, e.g. S2_L1C_B01_10m
  • Level-2A
    • Temporal extent: 2018-03-01 - 2020-03-31
    • Spatial extent: Europe (UTM 32628 - 32637)
    • Naming scheme: S2_L2A_${utmCrsCode}_${band}_${resolution}, e.g. S2_L2A_32631_AOT_20m, where:
      • ${utmCrsCode} - EPSG code for datacube CRS: 32628 - 32637 (N)
      • ${band} - B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12, TCI, SCL, CLDPRB, SNWPRB, WVP and AOT
      • ${resolution} - 10m, 20m or 60m
    • Virtual Coverages - unified Level-2A UTM zones to global coverages in EPSG:4326 for each band
      • Naming scheme: S2_L2A_${band}_${resolution}, e.g. S2_L2A_AOT_20m

Sentinel-3

  • OLCI (Ocean and Land Color Instrument)

    • LFR - Land Full Resolution
      • Temporal extent: 2018-01-01 - 2020-09-30
      • Spatial extent: Brazil (nearby Sao Paulo) - Lat(-23.5125, -22.7725) and Long(-46.405, -45.5175)
      • Spatial resolution: 0.0025 degree
      • Coordinate Reference System: EPSG:4326
      • Naming scheme 1: S3_OLCI_L2_LFR_${productName}_Brazil, e.g. S3_OLCI_L2_LFR_IWV_Brazil, where:
        • ${productName} - name of data product: IWV (Integrated Water Vapour), OGVI (Global Vegetation Index) and OLCI (Terrestrial Chlorophyll Index)
      • Naming scheme 2: S3_OLCI_L2_LFR_${productName}_${varibleName}_Brazil, e.g. S3_OLCI_L2_LFR_RC_OGVI_RC681_Brazil, where:
        • ${productName} - name of data product: RC_OGVI (Rectified reflectance Global Vegetation Index)
        • ${varibleName} - name of variable with values: RC681 (Rectified reflectance for the band O10) and RC865 (Rectified reflectance for the band O17)
  • SLSTR (Sea and Land Surface Temperature Radiometer)

    • LST - Land Surface Temperature
      • Temporal extent: 2018-01-01 - 2020-10-01
      • Spatial extent: Brazil (nearby Sao Paulo) - Lat(-23.5125, -22.7725) and Long(-46.405, -45.5175)
      • Spatial resolution: 0.0025 degree
      • Coordinate Reference System: EPSG:4326
      • Naming scheme 1: S3_SLSTR_L2_LST_Brazil - Gridded Land Surface Temperature
      • Naming scheme 2: S3_SLSTR_L2_LST_${varibleName}_Brazil, e.g. S3_SLSTR_L2_LST_biome, where:
        • ${varibleName} - name of variable with values: biome (Gridded GlobCover surface classification code), fraction (Gridded fractional vegetation cover ), NDVI (Gridded Normalized Difference Vegetation Index) and TCWV (Gridded Total Column Water Vapour)

Sentinel-5p

  • Temporal extent: 2019-01-01 - 2020-05-31
  • Spatial extent: Europe - EPSG:4326: Lat(18.7:80.36), Long(-38.71:59.21)
  • Naming scheme: S5p_L2_${product}_${variable}
    with ${product} and ${variable} from the table below, e.g. S5p_L2_CH4_methane_mixing_ratio
${product}${variable}Description
AER_AI
(Aerosol Index)
aerosol_index_340_380Aerosol index from 380 and 340 nm
aerosol_index_340_380_precisionPrecision of aerosol index from 380 and 340 nm
aerosol_index_354_388Aerosol index from 388 and 354 nm
aerosol_index_354_388_precisionPrecision of aerosol index from 388 and 354 nm
AER_LH
(Aerosol Layer Height)
aerosol_mid_heightHeight at center of aerosol layer relative to geoid
aerosol_mid_height_precisionHeight at center of aerosol layer standard error
aerosol_mid_pressureAir pressure at center of aerosol layer
aerosol_mid_pressure_precisionAir pressure at center of aerosol layer standard error
CH4
(Methane)
methane_mixing_ratioColumn averaged dry air mixing ratio of methane
methane_mixing_ratio_bias_correctedBias corrected column-averaged dry-air mole fraction of methane
methane_mixing_ratio_precisionPrecision of the column averaged dry air mixing ratio of methane
CO
(Carbon Monoxide)
carbonmonoxide_total_columnVertically integrated CO column
carbonmonoxide_total_column_precisionStandard error of the vertically integrated CO column
HCHO
(Formaldehyde)
formaldehyde_tropospheric_vertical_columnvertical column of formaldehyde
formaldehyde_tropospheric_vertical_column_precisionrandom error of vertical column density
NO2
(Nitrogen dioxide)
air_mass_factor_totalTotal air mass factor
air_mass_factor_troposphereTropospheric air mass factor
nitrogendioxide_tropospheric_columnTropospheric vertical column of nitrogen dioxide
nitrogendioxide_tropospheric_column_precisionPrecision of the tropospheric vertical column of nitrogen dioxide
nitrogendioxide_tropospheric_column_precision_kernelPrecision of the tropospheric vertical column of nitrogen dioxide when applying the averaging kernel
tm5_tropopause_layer_indexTM5 layer index of the highest layer in the tropopause
O3
(Ozone)
ozone_total_vertical_columnAtmosphere mole content of ozone
ozone_total_vertical_column_precisionAtmosphere mole content of ozone error
CLOUD
(Cloud)
cloud_base_heightcloud base height assumed in ROCINN retrieval
cloud_base_height_precisioncloud base height precision assumed in ROCINN retrieval
cloud_base_pressurecloud base pressure assumed in ROCINN retrieval
cloud_base_pressure_precisioncloud base pressure precision assumed in ROCINN retrieval
cloud_fractionRetrieved effective radiometric cloud fraction using the OCRA/ROCINN CAL model
cloud_fraction_precisionError of the retrieved effective radiometric cloud fraction using the OCRA/ROCINN CAL model
cloud_optical_thicknessCloud Optical Thickness using the OCRA/ROCINN CAL model
cloud_optical_thickness_precisionError of the cloud Optical Thickness using the OCRA/ROCINN CAL model
cloud_top_heightRetrieved vertical distance of the cloud top above the surface w.r.t. the geoid/MSL using the OCRA/ROCINN CAL model
cloud_top_height_precisionHeight at center of aerosol layer standard error
cloud_top_pressureRetrieved atmospheric pressure at the level of cloud top using the OCRA/ROCINN CAL model
cloud_top_pressure_precisionError of the retrieved atmospheric pressure at the level of cloud top using the OCRA/ROCINN CAL model

EU-DEM (European Digital Elevation Model)

  • Spatial extent: Lat(16.924500000000002 : 71.8995) and Long(-41.974000000000004 : 55.711)
  • Spatial resolution: 0.0005 degree
  • Coordinate Reference System: EPSG:4326
  • Naming scheme: EU_DEM
  • Coverage description
Terms of Reference

Funding

Mundi Datacubes has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824478 PARSEC.

Mundi Datacubes is not legally affiliated with Mundi Web Services.

Responsible Maintainer

rasdaman GmbH
Hans-Hermann-Sieling-Str. 17
28759 Bremen

Contact: Peter Baumann,

External Links

All external links implemented on this site have been checked for conformance with the spirit and intent of this site, and have found conformant at this time. However, the maintainer of this site has no control over the (change of) contents of the referred websites and, therefore, does not assume any responsibility for the contents of referred websites.

German Data Protection Regulation (GDPR)

The controller responsible for the described data collection and processing is rasdaman GmbH. Our data protection officer, Peter Baumann (email see unde Maintainer), will be happy to provide you with information or suggestions on the topic of data protection.

When you visit our website, the Web server temporarily stores usage information on our server machine (running in Germany) for statistical purposes in the form of a log in order to improve the quality of our website and to fulfill funding agency statistics reporting obligations.

We do not transfer your personal data to third parties without your express consent. We use revolvermaps for determining the city of visitors (nothing beyond this anonymized information is available); see their privacy statement which, at the time we evaluated it, obviously was in accordance with GDPR.

When it comes to processing your personal data, the GDPR grants you certain rights as a website user:

  • Right of Access (Art. 15 of the GDPR): You have the right to request confirmation as to whether personal data concerning you is being processed; where this is the case, you have a right of access to this personal data and to the information specified in Article 15 of the GDPR.
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Image Credits

Green matrix color cube © by Woken-2010.
Landscape images © Mundi consortium.