As an example of its on-demand remote sensing services and the need for analysis-ready data as expressed by many users, the Federal Agency for Cartography and Geodesy (BKG) designed a high-quality mosaic that covers the area of Germany. The mosaic consists of multiple Sentinel-2 orthorectified images that have been radiometrically colour-balanced to a uniform appearance – annual updates of the mosaic are intended. The product has the following basic characteristics: five-bands (both true color and false color composites), 10m spatial resolution, seamless and cloud-free (less than 3% cloud cover), 8-bit image depth.

Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other.

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

Date of last change
11-11-2019 08:21:14

Input data: Sentinel-2 DE - Germany Mosaic is based on a set of largely cloud-free Copernicus Sentinel-2 imagery of the respective year, whereas imagery covering the vegetation period were preferred.

This collection contains Sentinel-2 Level 2B vegetation indices (VI) for all of Germany for all acquired scenes since 01/2019. VIs (EVI, HA56, NDRE, NDVI, NDWI, PSRI and REIP) are calculated from Level 2A data in 10m spatial resolution. Products are available in tiles according to the ESA Sentinel-2 granule grid (UTM). This is a product of the AGRO-DE project (https://agro-de.info/).

For further information, please consult the product description document: https://code-de.org/download/agrode/S2_L2B_index/CODE-DE_Description_S2_...

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

File format of measurement data: GeoTIFF

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
11-10-2019 11:49:40

Input data: Sentinel-2 MSI - Level 2A Surface Reflectance (AGRO-DE)

This collection contains atmospherically corrected Sentinel-2 L2A data processed by means of the DLR-PACO software. Furthermore, cloud, cloud-shadow, snow and water masks are provided which have been calculated by means of the FMask algorithm. All Sentinel-2 MSI bands are provided in 10m spatial resolution. The data encompass all Sentinel-2 granules located over Germany which were acquired from 01/2019 onwards. This is a product of the AGRO-DE project (https://agro-de.info/).

For further information, please consult the product description document: https://code-de.org/download/agrode/S2_L2A_reflectance/CODE-DE_Descripti...

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

File format of measurement data: GeoTIFF

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
11-10-2019 11:44:36

Input data: Sentinel-2 MSI - Level 1C Top-of-Atmosphere Reflectance

This View Service provides access to CODE-DE products via a Web Mapping Service (WMS) interface. CODE-DE (Copernicus Data and Exploitation Platform - Deutschland) is the German access point to data of the European Earth Observation Programme Copernicus. This programme of the European Union provides satellite data from the Sentinel series and thematic services with products for observations of land/ocean/atmosphere, climate change, security and disaster management. Furthermore, information and tools for the creation of higher quality information are provided on the platform. The focus of data availability is geographically on Germany and Europe ("rolling archive"). This means that data of Germany and Europe will remain in the archive for a particularly long time (with immediate availability), but data outside Germany and especially outside Europe will typically be removed after one month. Sentinel-2 Level 1C products are globally long-term archived and made available again on request.

Date of last change
09-10-2019 03:24:21

This collection contains TerraSAR-X Level 1b data acquired over the pre-defined Geohazard Supersites and a number of CEOS projects regions. The collection comprises mainly complex (SSC) with a number of detected (MGD) products. TerraSAR-X data can be ordered by a Principal Investigator (PI) of a respective Supersite region under the terms of a TerraSAR-X Science proposal accepted by DLR. Data is available for download by the Geohazard scientific community under the terms of the user license.
Supersites are single sites or extended areas of high priority to the Geohazards community in which active single or multiple geological hazards pose a threat to human population and/or critical facilities. The Supersites initiative provides access to spaceborne and in-situ geophysical data of selected sites prone to earthquake, volcano or other hazards.

For further information see: http://ceos.org/ourwork/workinggroups/disasters/gsnl/
Overview of permament Supersites: http://geo-gsnl.org/supersites/permanent-supersites/

This collection contains Sentinel-1 Level-1 Ground Range Detected (GRD) products which consist of focused SAR data that have been detected, multi-looked and projected to ground range using an Earth ellipsoid model. Sentinel-1 is a polar-orbiting, all-weather, day-and-night C-band radar imaging mission funded by the European Union and carried out by the ESA within the Copernicus Programme, consisting of a constellation of two satellites.

Sensor: C-SAR (Synthetic Aperture Radar)
Repeat rate: 12 days (1 satellite), 6 days (2 satellites)
Launch date: 03 April 2014
Archive start date: 12 April 2014
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-1 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-1

Sentinel-1 Level-1 GRD Products Overview
https://earth.esa.int/web/sentinel/technical-guides/sentinel-1-sar/produ...

Spatial resolution of Sentinel-1 Level-1 GRD data
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-1-sar/...

File format of measurement data: GeoTIFF
Suggested software: ESA SNAP/Sentinel Toolbox http://step.esa.int/main/download/

Sentinel-1 acquisition plans:
https://sentinel.esa.int/web/sentinel/missions/sentinel-1/observation-sc...

Date of last change
08-10-2019 07:33:44

Sentinel-1 Level-1 Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model.

This collection contains Sentinel-3 Level-2 Land products derived from the SAR Radar Altimeter (SRAL) and Microwave Radiometer (MWR) instruments. The altimetry products consist of surface topography measurements of the land surface. The Sentinel-3 mission, jointly operated by ESA and EUMETSAT, is designed as a constellation of two identical polar orbiting satellites, separated by 180°, for the provision of long-term operational marine and land monitoring services.

Sensor: SRAL (SAR Radar Altimeter), MWR (Microwave Radiometer)
Revisit time: <2 days at the equator
Launch dates: 16 February 2016 (Sentinel-3A), 25 April 2018 (Sentinel-3B)
Archiving start date: 29 February 2016
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-3 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-3

Sentinel-3 SRAL/MWR - Level 2 Products Overview and Processing Levels
https://earth.esa.int/web/sentinel/technical-guides/sentinel-3-altimetry...
https://earth.esa.int/web/sentinel/user-guides/sentinel-3-altimetry/proc...

Resolutions of Sentinel-3 Altimetry data:
https://earth.esa.int/web/sentinel/user-guides/sentinel-3-altimetry/reso...

File format of measurement data: netCDF
Suggested software: Broadview Radar Altimetry Toolbox (BRAT)

Sentinel-3 Altimetry coverage:
https://earth.esa.int/web/sentinel/user-guides/sentinel-3-altimetry/cove...

This collection contains Sentinel-3 Level-1 products derived from the Sea and Land Surface Temperature Radiometer (SLSTR). The data consist of radiances and brightness temperatures for each pixel in a regular image grid, each view and each SLSTR channel, plus annotations data associated with SLSTR pixels. The Sentinel-3 mission, jointly operated by ESA and EUMETSAT, is designed as a constellation of two identical polar orbiting satellites, separated by 180°, for the provision of long-term operational marine and land monitoring services.

Sensor: SLSTR (Sea and Land Surface Temperature Radiometer)
Revisit time: <2 days at the equator
Launch date: 16 February 2016
Archiving start date: 29 February 2016
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-3 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-3

Sentinel-3 SLSTR Level-1 Products Overview and Processing Levels
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/...
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slst...

Spatial resolution of Sentinel-3 SLSTR data:
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slst...

File format of measurement data: netCDF
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-3 SLSTR coverage:
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/coverage

This collection contains Sentinel-3 Level-1 products recorded by the OLCI (Ocean and Land Colour) instrument. The data consist of top-of-atmosphere radiances, ortho-geolocated and re-sampled onto an along-track and across-track grid. The Sentinel-3 mission, jointly operated by ESA and EUMETSAT, is designed as a constellation of two identical polar orbiting satellites, separated by 180°, for the provision of long-term operational marine and land monitoring services.

Sensor: OLCI (Ocean Land Colour Instrument)
Revisit time: <2 days at the equator
Launch date: 16 February 2016
Archiving start date: 29 February 2016
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-3 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-3

Sentinel-3 OLCI Level-1 Products Overview
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/l...

Spatial resolution of Sentinel-3 Level-1B data:
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci...

Radiometric resolution and band numbering:
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci...

File format of measurement data: netCDF
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-3 OLCI coverage:
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/coverage

Date of last change
08-10-2019 07:39:16

The Sentinel-3 OLCI Level-1 processing is divided into three processing modes. Earth Observation mode deals with Level-0 products to compute radiometric measurements for each OLCI band. Radiometric and spectral calibration processing modes aim to compute calibration coefficients. Please see: https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-3... for further details.

This collection contains Sentinel-3 Level-2 Land products derived from the OLCI (Ocean and Land Colour) instrument. The data consist of land and atmospheric geophysical products at full (~300m) and reduced (~1.2km) resolutions. The Sentinel-3 mission, jointly operated by ESA and EUMETSAT, is designed as a constellation of two identical polar orbiting satellites, separated by 180°, for the provision of long-term operational marine and land monitoring services.

Sensor: OLCI (Ocean Land Colour Instrument)
Revisit time: <2 days at the equator
Launch date: 16 February 2016
Archiving start date: 29 February 2016
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-3 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-3

Sentinel-3 OLCI Level-2 Products Overview and Processing Levels
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-olci/l...
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci...

Spatial resolution of Sentinel-3 OLCI data:
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-olci...

File format of measurement data: netCDF
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-3 OLCI coverage:
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/coverage

This collection contains Sentinel-3 Level-2 Land products derived from the Sea and Land Surface Temperature Radiometer (SLSTR). The data consist of land surface parameters, including the land surface temperature (LST), generated on a 1 km measurement grid. The Sentinel-3 mission, jointly operated by ESA and EUMETSAT, is designed as a constellation of two identical polar orbiting satellites, separated by 180°, for the provision of long-term operational marine and land monitoring services.

Sensor: SLSTR (Sea and Land Surface Temperature Radiometer)
Revisit time: <2 days at the equator
Launch date: 16 February 2016
Archiving start date: 29 February 2016
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-3 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-3

Sentinel-3 SLSTR Level-2 Products Overview and Processing Levels
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-3-slstr/...
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slst...

Spatial resolution of Sentinel-3 SLSTR data:
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-3-slst...

File format of measurement data: netCDF
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-3 SLSTR coverage:
https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr/coverage

This collection contains Sentinel-2 Level-1C products which consist of top-of-atmosphere reflectances in cartographic geometry. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other.

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

Sentinel-2 Level-1C Processing Overview
https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level...

Sentinel-2 Level-1C spatial resolution
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/...

Sentinel-2 Level-1C radiometric resolution and band numbering
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/...

File format of measurement data: JPEG2000
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
08-10-2019 07:36:24

The processing of Sentinel-2 Level-1C products is based on the Level-1B product and includes radiometric and geometric corrections including orthorectification and spatial registration on a global reference system with sub-pixel accuracy. The quality of generated products is assessed by the On Line Quality Control (OLQC) functionality. The OLQC performs essential quality checks on each product generated by the processing chain. The results of the quality checks are presented as XML reports and GML quality masks.

This collection contains Sentinel-2 Level-2A products which consist of bottom-of-atmosphere reflectances in cartographic geometry. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other.

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

Sentinel-2 Level-2A Processing Overview
https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level...

Sentinel-2 Level-2A spatial resolution
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/...

Sentinel-2 Level-2A radiometric resolution and band numbering
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/...

File format of measurement data: JPEG2000
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
08-10-2019 07:35:57

The Level-2A operational processor generates, from algorithms of scene classification and atmospheric correction, Level-2A (BOA reflectance) products from Level-1C products.

This collection contains Sentinel-1 Level-2 Ocean (OCN) products for wind, wave and currents applications which may consist of the following geophysical components: Ocean Wind field (OWI), Ocean Swell spectra (OSW), and Surface Radial Velocity (RVL). The availability of components depends on the acquisition mode. Sentinel-1 is a polar-orbiting, all-weather, day-and-night C-band radar imaging mission funded by the European Union and carried out by the ESA within the Copernicus Programme, consisting of a constellation of two satellites.

Sensor: C-SAR (Synthetic Aperture Radar)
Repeat rate: 12 days (1 satellite), 6 days (2 satellites)
Launch date: 03 April 2014
Archiving start date: 12 April 2014
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-1 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-1

Sentinel-1 Level-2 OCN Products Overview
https://earth.esa.int/web/sentinel/technical-guides/sentinel-1-sar/produ...

Spatial resolution of Sentinel-1 Level-2 OCN data:
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-1-sar/...

File format of measurement data: netCDF
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/) Please note: Support for OCN-data is still limited.

Sentinel-1 acquisition plans:
https://sentinel.esa.int/web/sentinel/missions/sentinel-1/observation-sc...

Date of last change
08-10-2019 07:33:10

Sentinel-1 Level-2 Ocean (OCN) products consist of geo-located geophysical components derived from Level-1. OCN products are generated from all four Sentinel-1 imaging modes. From Stripmap (SM) and Wave (WV) modes, the OCN product will contain all three components. From Interferometric Wide Swath (IW) and Extra Wide Swath (EW) modes, the OCN product will only contain the OWI and RVL components.

This collection contains Sentinel-1 Level-1 Single Look Complex (SLC) products which consist of focused SAR data that are geo-referenced using orbit and attitude data from the satellite, and provided in slant-range geometry. Sentinel-1 is a polar-orbiting, all-weather, day-and-night C-band radar imaging mission funded by the European Union and carried out by the ESA within the Copernicus Programme, consisting of a constellation of two satellites.

Sensor: C-SAR (Synthetic Aperture Radar)
Repeat rate: 12 days (1 satellite), 6 days (2 satellites)
Launch date: 03 April 2014
Archiving start date: 12 April 2014
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-1 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-1

Sentinel-1 Level-1 SLC Products Overview
https://earth.esa.int/web/sentinel/technical-guides/sentinel-1-sar/produ...

Spatial resolution of Sentinel-1 Level-1 SLC data
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-1-sar/...

File format of measurement data: GeoTIFF
Suggested software: ESA SNAP/Sentinel Toolbox (http://step.esa.int/main/download/)

Sentinel-1 acquisition plans:
https://sentinel.esa.int/web/sentinel/missions/sentinel-1/observation-sc...

Date of last change
08-10-2019 07:32:36

The Sentinel-1 Level-1 SLC products include a single look in each dimension using the full available signal bandwidth and complex samples (real and imaginary) preserving the phase information. The products have been geo-referenced using the orbit and attitude data from the satellite and have been corrected for azimuth bi-static delay, elevation antenna pattern and range spreading loss.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated aerosol index with a spatial resolution of 7 × 3.5 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Aerosol Index:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:59:19

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated dry-air mixing ratio of methane for cloud-free observations over land with a spatial resolution of 7 × 7 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual CH4 Total Column:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:17:13

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated tropospheric ozone with a spatial resolution of 0.5 x 1.0 degrees observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual O3 Tropospheric Column:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:17:05

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated sulfur dioxide column with a spatial resolution of 7 × 3.5 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual SO2 Total Column:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:16:58

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated formaldehyde tropospheric column with a spatial resolution of 7 × 3.5 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual HCHO Tropospheric Column:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:16:52

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated nitrogen dioxide tropospheric column with a spatial resolution of 7 × 3.5 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual NO2 Total and Tropospheric Columns:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:16:45

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated carbon monoxide column over land with a spatial resolution of 7 × 7 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual CO Total Column:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:16:37

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated ozone total column with a spatial resolution of 7 × 3.5 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual O3 Total Column:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:16:29

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

This collection contains Sentinel-5 Precursor Level-2 atmospheric measurements derived from the TROPOMI spectrometer. The products consist of the geolocated cloud fraction, cloud pressure and cloud albedo with a spatial resolution of 7 × 3.5 km observed at about 13:30 local solar time from spectra measured by TROPOMI.
The main objective of the Copernicus Sentinel-5P mission is to perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone and UV radiation, and climate monitoring and forecasting.

Sensor: TROPOMI (TROPOspheric Monitoring Instrument)
Revisit time and coverage: daily global coverage
Launch date: 13 October 2017
Archiving start date: 10 July 2018
Mission Status: ongoing

Terms and conditions for the use of Sentinel data:
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-5P Mission Overview:
https://sentinel.esa.int/web/sentinel/missions/sentinel-5p

Sentinel-5P TROPOMI Level-2 Products and Algorithms:
https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-5p/produ...

Sentinel-5P TROPOMI Level 2 Product User Manual Cloud Properties:
https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Pr...

Suggested software for visualization:
https://www.giss.nasa.gov/tools/panoply/

File format of measurement data: netCDF

Date of last change
23-09-2019 12:16:19

The S5P TROPOMI L1b data are the basis for generating the L2 product and the main input of the S5P UPAS L2 processor.

BigDataCube in CODE-DE

Flexible, skalierbare Nutzerdienste für massive raum-zeitliche Datenwürfel

Mit dem Vorhaben BigDataCube (http://www.bigdatacube.org) wird das innovative Paradigma der "Datenwürfel" – also analysefertige raum-zeitliche Rasterdaten – auf CODE-DE etabliert. Damit können Anwender jede Anfrage, jederzeit und ohne Programmierung auf den Sentinel-1 und Sentinel-2 Datenwürfeln ausführen lassen. Durch den konsequenten Einsatz der OGC-Standards bleibt der Anwender in der Komfortzone seiner eigenen Clients und kann aus einem breiten Spektrum wählen, unter anderem:

Karten-Navigation: OpenLayers, Leaflet, ...
Virtelle Globen: NASA WorldWind, Cesium, ...
Web GIS: QGIS, ArcGIS, ...
für komplexe Analyse: GDAL, R, python, ...

Auf dieser Plattform können neue, spezialisierte Dienste von Drittanbietern schnell, flexibel und skalierbar aufgebaut werden, ohne dass besondere Programmierexpertise erforderlich ist. Damit ist diese Datenwürfel-Plattform exzellent für Kleinunternehmen und Neugründungen geeignet, um innovative Dienste schnell aufzusetzen und dynamisch an neue Kundenerfordernisse anzupassen. In BigDataCube wurde dazu pixelgenaue Abrechnung von Zugriff und Prozessierung möglich sowie Quota, immer unter vollständiger Kontrolle durch den Administrator. Bis auf weiteres sind die CODE-DE Anfragedienste kostenfrei zugänglich.

Zusätzlich sind durch eine ortstransparente Föderation weitere Daten anderer Anbieter nahtlos eingebunden; in BigDataCube wurde dies mit den kommerziellen Diensten von cloudeo AG demonstriert, weitere nationale und internationale Datenzentren sind in Verhandlung. Realisiert sind die CODE-DE Datenwürfel mit rasdaman "(raster data manager"), der vollstöndig in Deutschland entwickelten, weltweit führenden Datenwürfel-Technologie (im Datenbank-Jargon: "Array-Datenbank"), welche gleichzeitig OGC-Referenzimplementierung ist. Gleichzeitig werden während des Projekts die Datenwürfel-Standards von OGC, ISO und INSPIRE weiterentwickelt.

BigDataCube wird gefördert vom Bundeswirtschaftsministerium.

Projektpartner sind:
Jacobs University (Projektleitung) https://www.jacobs-university.de,
rasdaman GmbH http://www.rasdaman.com,
cloudeo AG http://www.cloudeo-ag.com und
DLR Earth Observation Center (im Unterauftrag) http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-5277/8858_read-15912/

BigDataCube Dienste in CODE-DE:

Sentinel Datacubes: Extraktion, Analyse und Visualisierung http://processing.code-de.org/rasdaman/

WCS / WCPS / WMS Service-Endpunkt:
http://processing.code-de.org/rasdaman/ows

Date of last change
17-07-2019 11:28:00

Jacobs University, rasdaman GmbH, cloudeo AG, DLR Earth Observation Center

This collection contains cloud-filtered monthly composites of Sentinel-2 Level 1C data. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other.

File format: NetCDF

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

Sentinel-2 Level-1C Processing Overview
https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level...

Sentinel-2 spatial resolution
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/...

Sentinel-2 radiometric resolution and band numbering
https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/...

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
03-05-2019 09:14:19

The processing of the Sentinel-2 Cloud Filtered Mosaic is based on the Level-1C product and includes radiometric and geometric corrections including orthorectification.

The Soil Composite Mapping Processor (SCMaP) is a new approach designed to make use of per-pixel compositing to overcome the issue of limited soil exposure due to vegetation. Three primary product levels are generated that will allow for a long term assessment and distribution of soils that include the distribution of exposed soils, a statistical information related to soil use and intensity and the generation of exposed soil reflectance image composites. The resulting composite maps provide useful value-added information on soils with the exposed soil reflectance composites showing high spatial coverage that correlate well with existing soil maps and the underlying geological structural regions.

The SRTM X-SAR Elevation Mosaic is an aggregation of DLR's SRTM X-SAR DTED files.

The DTED Level-2 files have been generated from Synthetic Aperture Radar (SAR) data acquired by the German-Italian X-band interferometric SAR system during the Shuttle Radar Topography Mission (SRTM) between February 11 and 22, 2000. The X-band system was flown and operated onboard the Space Shuttle Endeavor, along with a NASA C-Band SAR system. The SRTM project page at DLR provides additional information on the SRTM X-band mission (http://www.dlr.de/eoc/Portaldata/60/Resources/dokumente/7_sat_miss/SRTM-...). Further details on the mission in general, the technology, accuracies, and applications are available in http://www2.jpl.nasa.gov/srtm/SRTM_paper.pdf .

The original DTED files have been grouped and mosaicked into 30 x 30 degree tiles. Six out of the total of 48 tiles were empty since they do not contain any DTED files. The resulting 42 tiles are stored as uncompressed GeoTIFF files. The files have been supplemented with nine cubic convolution resampled overviews for fast web delivery.

Date of last change
03-05-2019 09:19:42

Horizontal accuracy (absolute): ±20m 90% circular error
Horizontal accuracy (relative): ±15m 90% circular error
Vertical accuracy (absolute): ±16m 90% linear error
Vertical accuracy (relative): ±6m 90% linear error

The SRTM X-SAR Hillshade Mosaic is a greyscale shaded relief based on the SRTM X-SAR Elevation Mosaic. Combined with the latter, it can be used to add a 3d effect and enhance the visual resolution by pronouncing peaks and valleys.

Date of last change
03-05-2019 09:19:28

Horizontal accuracy (absolute): ±20m 90% circular error
Horizontal accuracy (relative): ±15m 90% circular error
Vertical accuracy (absolute): ±16m 90% linear error
Vertical accuracy (relative): ±6m 90% linear error

The SRTM X-SAR Elevation Mosaic is an aggregation of DLR's SRTM X-SAR DTED tiles. The SRTM X-SAR Color-Coded Elevation Mosaic combines the SRTM X-SAR Elevation and Hillshade Mosaic Datasets to produce a hypsometric colored and shaded relief of the SRTM X-SAR DTED tiles.

Date of last change
03-05-2019 09:19:20

Horizontal accuracy (absolute): ±20m 90% circular error
Horizontal accuracy (relative): ±15m 90% circular error
Vertical accuracy (absolute): ±16m 90% linear error
Vertical accuracy (relative): ±6m 90% linear error

The SRTM X-SAR Error Mosaic is based on the height error map (HEM, see SRTM PDF http://www.dlr.de/eoc/Portaldata/60/Resources/dokumente/7_sat_miss/SRTM-...) and provides a local measure of the achieved accuracy. It is statistically determined from a neighborhood of image cells mainly considering the phase and baseline stability. Thus it describes the precision relative to the surrounding. The determination of the absolute accuracy requires the consideration of reference measures.

Date of last change
03-05-2019 09:19:13

Horizontal accuracy (absolute): ±20m 90% circular error
Horizontal accuracy (relative): ±15m 90% circular error
Vertical accuracy (absolute): ±16m 90% linear error
Vertical accuracy (relative): ±6m 90% linear error

MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment (from http://modis.gsfc.nasa.gov/).
On January 16, 2001 the antenna was installed on the roof of the DLR German Remote Sensing Data Center building in Oberpfaffenhofen and put into operation for MODIS reception (see http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-7251/12237_read-29022/ for more details).
This mosaic has been generated from TERRA and AQUA products between 30 Sept. to 03 Oct. 2011

Date of last change
03-05-2019 09:18:27

Please refer to http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-7251/12237_read-29022/ for more details. The MODIS data used in this product were obtained through the online Data Pool at the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota (https://lpdaac.usgs.gov/get_data).

This Download Service provides access to CODE-DE products via a Web Coverage Service (WCS) interface. CODE-DE (Copernicus Data and Exploitation Platform - Deutschland) is the German access point to data of the European Earth Observation Programme Copernicus. This programme of the European Union provides satellite data from the Sentinel series and thematic services with products for observations of land/ocean/atmosphere, climate change, security and disaster management. Furthermore, information and tools for the creation of higher quality information are provided on the platform. The focus of data availability is geographically on Germany and Europe ("rolling archive"). This means that data of Germany and Europe will remain in the archive for a particularly long time (with immediate availability), but data outside Germany and especially outside Europe will typically be removed after one month. Sentinel-2 Level 1C products are globally long-term archived and made available again on request.

Date of last change
03-05-2019 09:16:38

The temporal feature extraction product is a Germany-wide dataset including temporal statistics of Sentinel-2 Level 1C products of an entire year and derived spectral indices. The product can for example be used to detect changes in land use and land cover in a quantitative manner.

File format of value added product: GeoTIFF

Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other.

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
03-05-2019 09:14:43

The Temporal Feature Extraction product is based on the processing of time-series Sentinel-2 MSI Level 1C data.

This product contains the atmospherically corrected water albedo product of a Sentinel-2 Level 1C scene. A water-land-cloud mask based on analysis of the atmospherically corrected scene on water, land and cloud specific spectral properties is also delivered.

The product is initially provided for the region of Hamburg.

The albedo product consists of the Sentinel-2 Level 1C bands 1, 2, 3, 4, 5, 6, 7, 8, 8a, 11, and 12 at 10 m spatial resolution, where a change of 1 digit is equivalent to a change of 0.0001 (0.01 %) in reflectance. The mask product has 10 m spatial resolution with values 0 (land), 1 (water), and 2 (cloud).

File format of value added product: ENVI BIL

Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission developed by ESA as part of the Copernicus Programme, supporting the Copernicus Land Monitoring services, including the monitoring of vegetation, soil and water cover, as well as the observation of inland waterways and coastal areas. The full Sentinel-2 mission comprises two polar-orbiting satellites in the same orbit, phased at 180° to each other.

Sensor: MSI (Multispectral Instrument)
Repeat rate: 5 days (with two satellites)
Launch dates: 23 June 2015 (Sentinel-2A), 07 March 2017 (Sentinel-2B)
Archiving start date: 27 June 2015
Mission Status: ongoing

Terms and conditions for the use of Sentinel data
https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/T...

Sentinel-2 Mission Overview
https://sentinel.esa.int/web/sentinel/missions/sentinel-2

Sentinel-2 acquisition plans:
https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-2/acquisi...

Date of last change
03-05-2019 09:14:30

The processing of the Sentinel-2 Maritime Product is based on the Level-1C product.

AGRO-DE in CODE-DE

Mit dem Projekt AGRO-DE wird ein Daten- und Auswertungscluster geschaffen werden, welches landwirtschaftlichen Betrieben, Beratern, Lohnunternehmern und Serviceprovidern ermöglicht, vorverarbeitete Fernerkundungsinformationen zeitnah nutzen zu können und in ihre Betriebsabläufe zu integrieren. Die Informationen sollen dabei in verschiedenen Formen (z.B. als Karten- oder Datendienst), Informationstiefen (z.B. als Bilddaten, Informationsprodukt, oder als dynamisches Modellierungsergebnis) und Abrechnungsmodellen (kostenfrei und gebührenpflichtig) bereitgestellt werden. Erstmalig können alle Landwirte in Deutschland von aktuellen Satelliteninformationen profitieren. Mit AGRO-DE wird ein offener Zugang zu nutzbaren Informationsprodukten geschaffen, der den Einsatz von Precision Farming Technologien stimulieren soll. Diese Technologien sollen auch kleinstrukturierte Betriebe und Betriebe mit ökologischem Landbau ansprechen. Darüber hinaus können Informationsprodukte aus AGRO-DE zukünftig auch Forschungseinrichtungen, Bundes- und Landesbehörden sowie Nichtregierungsorganisationen (NGO) bei ihrer Arbeit unterstützen, da methodisch einheitlich hergestellte Datensätze für Deutschland bereitstehen.

AGRO-DE Produkte in CODE-DE:

Sentinel-2 MSI - Level 2A Surface Reflectance (AGRO-DE) - Germany; siehe: https://code-de.org/en/record/c0d89fea-af31-480d-bb78-9b7453b3cc6a

Sentinel-2 MSI - Level 2B Vegetation Indices (AGRO-DE) - Germany; siehe: https://code-de.org/en/record/2c96e2a6-f651-45ef-8c69-bc36d348a371

SCMaP - Landsat - Germany, 1984-2014; siehe: https://code-de.org/en/record/a1543075-f6a6-47ac-b45c-cece50778dc0/

AGRO-DE Download Service (erfordert Registrierung und Beantragung zusätzlicher Berechtigungen):

https://code-de.org/download/agrode/

Date of last change
15-03-2019 01:11:28

Bundesministerium für Ernährung und Landwirtschaft

The RapidEye RESA Germany Mosaic provides a nearly cloud-free view of the country’s geography, natural resources, and infrastructure. It is composed of 374,240 sqkm of multi-spectral RapidEye imagery, acquired between April and October 2015. The product is being provided in the framework of the RapidEye Science Archive (RESA) agreement.

Co-funded by the German Federal Government, the fleet of RapidEye satellites were launched from the Baikonur cosmodrome in Kazakhstan in 2008. The satellites are now owned by Planet Labs, Inc. The RapidEye Earth observation system comprises five satellites equipped with high-resolution optical sensors. With a spatial resolution of 6.5 m the 5-band instruments operate in the visible and near-infrared portions of the electromagnetic spectrum. With its high repetition rate the RapidEye constellation can image each point on the Earth’s at least once per day.

Date of last change
09-04-2018 08:37:19

RapidEye Mosaic products consist of multiple RapidEye image takes that have been orthorectified
and radiometrically color balanced to a uniform appearance that are then assembled to create a single,
seamless large area image. For details see: https://www.planet.com/assets/pdfs/1606.08_Spec_Sheet_RE%20Mosaics_Lette...

The Global Urban Footprint® (GUF®) dataset is based on the radar (SAR) satellite imagery of the German satellites TerraSAR-X and TanDEM-X. By creating the GUF database, scientists at the German Remote Sensing Data Center (DFD) of the German Aerospace Center (DLR) have succeeded in using a newly developed method to generate a global raster map of the world’s built-up pattern in a so far unprecedented spatial resolution of about 12m per raster cell.

Using a fully automated processing system, a global coverage of more than 180,000 very high resolution SAR images (3m ground resolution) has been analyzed acquired between 2010 and 2013. Thereby, the backscatter amplitudes of the SAR data have been used in combination with derived textural information to delineate human settlements in a highly automated, complex decision-making process. The evaluation procedure based mainly on radar signals detects the characteristic vertical structures of human habitations – primarily built-up areas. In addition, auxiliary data such as digital elevation models have been included to improve the classification process. In total, over 20 million datasets were processed with a combined volume of about 320 terabytes. The final global maps show three coverage categories (e. g. in a B&W representation): Built-up areas (vertical structures only) in black, non-built-up surfaces in white, areas of no coverage by TSX/TDX satellites (NoData) as most parts of the oceans in grey.

The final product has been optimized for fast online access through web services by merging the 5° x 5° GUF tiles into a single global mosaic. Furthermore reduced resolution overviews have been generated with an interpolation algorithm, that computes the average value of all contribution pixels. The global mosaic uses PackBits compression to reduce file size.

(GUF® and Global Urban Footprint® are protected as trademarks.)

Date of last change
27-02-2019 01:35:31

The Global Urban Footprint® (GUF®) dataset is based on the radar (SAR) satellite imagery of the German satellites TerraSAR-X and TanDEM-X. Using a fully automated processing system, the so-called Urban Footprint Processor, a global coverage of more than 180,000 very high resolution SAR images (3m ground resolution) has been analyzed, mainly acquired between 2010 and 2013. Thereby, the backscatter amplitudes of the SAR data have been used in combination with derived textural information to delineate human settlements in a highly automated, complex decision-making process. In addition, auxiliary data such as digital elevation models have been included to improve the classification process. The data collection of satellite imagery was performed mainly between 2011 and 2012 (93 %), with single scenes with more recent acquisition dates (of 2013 / 2014) used to fill data gaps.
For more details see:
Esch, T., Marconcini, M., Felbier, A., Roth, A., Heldens, W., Huber, M., Schwinger, M., Taubenböck, H., Müller, A., Dech, S. (2013) Urban Footprint Processor – Fully Automated Processing Chain Generating Settlement Masks from Global Data of the TanDEM-X Mission. IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 6, November 2013. Pp. 1617-1621. ISSN 1545-598X, DOI 10.1109/LGRS.2013.2272953 (see: http://elib.dlr.de/83318/ )

VM Template for CODE-DE

This is the VM Template for CODE-DE. It consists of tools which allow users to search for data in the CODE-DE data storage, retrieve data from the CODE-DE data storage, and to interact with CODE-DE processing system. The tools are accompanied by documentation and a sample processing request file.

Documentation: https://code-de.org/tools/code-de-external-tools.pdf

Sample processing file: https://code-de.org/tools/code-de-external-tools-1.1.tar.gz

The Copernicus Services Portfolios database is a user-friendly tool, designed to facilitate the understanding and ease the access to Copernicus products and services for intermediate/final users and research communities.

The Copernicus Services Portfolios database offers three different Search Functionalities: –Search by Keywords, based on users’ needs, –Search by Alphabetical Index, based on Copernicus Services Portfolios, –Search by Theme, based on Copernicus domains of application. Also, support functionalities help enhancing the user’s experience, such as: –Subscription, for top-down communication, –Feedback and Queries, –Print-Out and Download in PDF format, –Analytics and Statistics, –Automated daily updates.

Date of last change
08-05-2018 09:27:01

EY, on behalf of European Union

Sentinel-2 Atmospheric Correction (Sen2Cor) Processor in CODE-DE

Sen2Cor is a processor for Sentinel-2 Level 2A product generation and formatting; it performs the atmospheric-, terrain and cirrus correction of Top-Of- Atmosphere Level 1C input data. Sen2Cor creates Bottom-Of-Atmosphere, optionally terrain- and cirrus corrected reflectance images; additional, Aerosol Optical Thickness-, Water Vapor-, Scene Classification Maps and Quality Indicators for cloud and snow probabilities. Equivalent to the Level 1C User Product: JPEG 2000 images, three different resolutions, 60, 20 and 10 m.

Processor for band math with Sentinel Products in CODE-DE

The SNAP Generic BandMath operator allows to create a product with multiple bands based on mathematical expressions. The geo-coding information and metadata for the target product is taken from the source product.

Some of today’s most important environmental concerns relate to the composition of the atmosphere. The increasing concentration of the greenhouse gases and the cooling effect of aerosol are prominent drivers of a changing climate, but the extent of their impact is often still uncertain.

At the Earth’s surface, aerosols, ozone and other reactive gases such as nitrogen dioxide determine the quality of the air around us, affecting human health and life expectancy, the health of ecosystems and the fabric of the built environment. Ozone distributions in the stratosphere influence the amount of ultraviolet radiation reaching the surface. Dust, sand, smoke and volcanic aerosols affect the safe operation of transport systems and the availability of power from solar generation, the formation of clouds and rainfall, and the remote sensing by satellite of land, ocean and atmosphere.

To address these environmental concerns there is a need for data and processed information. The Copernicus Atmosphere Monitoring Service (CAMS) has been developed to meet these needs, aiming at supporting policymakers, business and citizens with enhanced atmospheric environmental information.

The Copernicus Climate Change Service is designed to respond to changes in the environment and society associated with climate change.

The service will provide information for monitoring and predicting climate change and help to support adaptation and mitigation strategies.

It will provide access to several climate indicators (e.g. temperature increase, sea level rise, ice sheet melting, ocean warming) and climate indices (e.g. based on records of temperature, precipitation, drought events) for both the identified climate drivers and the expected climate impacts.

The Copernicus Marine Environment Monitoring Service (CMEMS) provides regular and systematic reference information on the physical state, variability and dynamics of the ocean and marine ecosystems for the global ocean and the European regional seas.

The observations and forecasts produced by the service support all marine applications. For instance, the provision of data on currents, winds and sea ice help to improve ship routing services, offshore operations or search and rescue operations, thus contributing to marine safety.
The service also contributes to the protection and the sustainable management of living marine resources in particular for aquaculture, fishery research or regional fishery organisations.
Physical and marine biogeochemical components are useful for water quality monitoring and pollution control. Sea level rise helps to assess coastal erosion. Sea surface temperature is one of the primary physical impacts of climate change and has direct consequences on marine ecosystems.

As a result of this, the service supports a wide range of coastal and marine environment applications. Many of the data delivered by the service (e.g. temperature, salinity, sea level, currents, wind and sea ice) also play a crucial role in the domain of weather, climate and seasonal forecasting.

Copernicus EMS - Mapping provides all actors involved in the management of natural disasters, man-made emergency situations and humanitarian crises, with timely and accurate geospatial information derived from satellite remote sensing and completed by available in situ or open data sources. The information generated by the service can be used as supplied (e.g. as digital or printed map outputs). It may be further combined with other data sources (e.g. as digital feature sets in a geographic information system). In both cases it may support geospatial analysis and decision making processes of emergency managers. Copernicus EMS - Mapping is provided during all phases of the emergency management cycle, in two temporal modes, and free of charge for the users. It can be activated only by authorised users.

Copernicus is a European system for monitoring the Earth. Data is collected by different sources, including Earth observation satellites and in-situ sensors. The data is processed and provides reliable and up-to-date information about six thematic areas: land, marine, atmosphere, climate change, emergency management and security. The land theme is divided into four main components:

Global
The Global Land Service provides a series of bio-geophysical products on the status and evolution of the land surface at global scale at mid and low spatial resolution. The products are used to monitor the vegetation, the water cycle and the energy budget.

Pan-European
The pan-European component provides information about the land cover and land use (LC/LU), land cover and land use changes and land cover characteristics. The latter includes information about imperviousness, forests, natural grasslands, wetlands, and permanent water bodies.

Local
The local component focuses on different hotspots, i.e. areas that are prone to specific environmental challenges and problems. This includes detailed LC/LU information for the larger EU cities (Urban Atlas), riparian zones along European river networks and NATURA 2000 sites. It will also include maps of coastal areas.

In-situ
All of the Copernicus services need access to in-situ data in order to ensure an efficient and effective use of Copernicus space-borne data. Next to data provided by participating countries, Earth observation from space also yields pan-European reference datasets, such as a Digital Elevation Model.

ArcGIS Python Toolbox for Search and Download of Sentinel-2 data via DHuS (SciHub, or CODE-DE).

The "ArcGIS Sentinel-2 Download Tools" are geoprocessing tools which allow the download of data via DHuS (either the SciHub-DHus of ESA or alternatively also the CODE-DE-DHuS) and the integration of the data in the ArcGIS environment: The tool "Search DHuS catalog" facilitates the creation or completion of a local catalog with information over existing Sentinel-2 satellite acquisitions. These include, among others, a quicklook image with low resolution. For the execution of the data download, each satellite acquisition in the local catalog can be marked and the tool "Download Marked packages" can be started which provides further options for the control of the download.

Date of last change
24-04-2017 07:12:22

Esri Deutschland Group GmbH