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.

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.

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
17-09-2018 09:10:25

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/ )

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
15-11-2018 01:56:50

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