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

TIMESAT is a software package for analysing time-series of satellite sensor data.

TIMESAT has been developed to investigate the seasonality of satellite time-series data and their relationship with dynamic properties of vegetation, such as phenology and temporal development. The temporal domain holds important information about short- and long-term vegetation changes. TIMESAT was originally intended for handling noisy time-series of AVHRR NDVI data and to extract seasonality information from the data. The program now has the capability to handle different types of remotely sensed time-series , e.g. data from Terra/MODIS at different time resolutions. It has also been tested with eddy covariance data and moisture data, although these applications are not the main target.

Datum der letzten Änderung
07-03-2017 02:29:51

Per Jönsson, Malmö University; Lars Eklundh, Lund University

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/

Datum der letzten Änderung
08-10-2019 11:22:37

Input data sets:
- Orbit products
- Attitude products
- Extracted house-keeping parameters

Please refer to http://www.dlr.de/dlr/en/desktopdefault.aspx/tabid-10377/565_read-436/ for more details.

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.

Datum der letzten Änderung
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 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.

Datum der letzten Änderung
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 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.

Datum der letzten Änderung
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

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.

Datum der letzten Änderung
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

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.

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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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 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

Datum der letzten Änderung
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.

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

Datum der letzten Änderung
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-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-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-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-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-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

Datum der letzten Änderung
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.

Sentinel 2 Radiometric Uncertainty Tool (S2-RUT)

NPL, in collaboration with Brockmann Consult, has delivered the first version of the Radiometric Uncertainty Tool (RUT) for the Sentinel-2 mission. This innovative tool provides uncertainty images associated to the Top-of-Atmosphere reflectance images delivered by the European Space Agency (ESA). The first version of the tool already incorporates the possibility to define a specific coverage factor and select/deselect the contributors through the user interface. The uncertainty estimates are based in an exhaustive radiometric analysis of both the instrument and radiometric processing chain of the Sentinel-2 mission. The combination model is based on the GUM guidelines.

Datum der letzten Änderung
07-03-2017 02:31:44

NPL, Brockmann Consulting

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...

Datum der letzten Änderung
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...

Datum der letzten Änderung
03-05-2019 09:14:30

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

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...

Datum der letzten Änderung
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...

Datum der letzten Änderung
11-10-2019 11:44:36

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

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...

Datum der letzten Änderung
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-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...

Datum der letzten Änderung
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 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...

Datum der letzten Änderung
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.

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...

Datum der letzten Änderung
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...

Datum der letzten Änderung
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-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...

Datum der letzten Änderung
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.

Sen2Three is a level 3 processor for the Spatio-Temporal Synthesis of bottom of atmosphere corrected Sentinel-2 level 2a images, as they are generated by the Sen2Cor application.

Sen2Three takes time series of level 2a images of certain geographical areas (tiles) as input and generates a synthetic output image by replacing step by step all “bad” pixels of previous input images with the collocated “good” pixels of scenes following in time.

Datum der letzten Änderung
07-03-2017 02:31:18

European Space Agency (ESA)

Sen2Cor is a processor for Sentinel-2 Level 2A product generation and formatting.

The processor 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. Its output product format is equivalent to the Level 1C User Product: JPEG 2000 images, three different resolutions, 60, 20 and 10 m.

Datum der letzten Änderung
07-03-2017 02:31:30

European Space Agency (ESA)

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.

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.

SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis.

SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ...).

Datum der letzten Änderung
07-03-2017 02:30:19

SAGA User Group Asssociation

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.

Datum der letzten Änderung
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...

QGIS is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License.

QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities.

Datum der letzten Änderung
07-03-2017 02:32:35

Open Source Geospatial Foundation (OSGeo)

The Polarimetric SAR Data Processing and Educational Tool (PolSARpro)

The Polarimetric SAR Data Processing and Educational Tool aims to facilitate the accessibility and exploitation of multi-polarised SAR datasets including those from ESA (Envisat ASAR Alternating Polarisation mode products and Sentinel-1) and Third Party Missions (ALOS-1 PALSAR, ALOS-2 PALSAR, COSMO-SkyMed, RADARSAT-2, RISAT, TerraSAR-X and Tandem-X). A wide-range of tutorials and comprehensive documentation provide a grounding in polarimetry and polarimetric interferometry necessary to stimulate research and development of scientific applications that utilise such techniques; the toolbox of processing functions offers users the capability to implement them.

Datum der letzten Änderung
07-03-2017 02:33:40

European Space Agency (ESA)

Orfeo ToolBox (OTB) is an open-source project for state-of-the-art remote sensing. Built on the shoulders of the open-source geospatial community, it can process high resolution optical, multispectral and radar images at the terabyte scale. A wide variety of applications are available: from ortho-rectification or pansharpening, all the way to classification, SAR processing, and much more!

All of OTB’s algorithms are accessible from Monteverdi, QGIS, Python, the command line or C++. Monteverdi is an easy to use visualization tool with an emphasis on hardware accelerated rendering for high resolution imagery (optical and SAR). With it, end-users can visualize huge raw imagery products and access all of the applications in the toolbox. From resource limited laptops to high performance MPI clusters, OTB is available on Windows, Linux and Mac. It is community driven, extensible and heavily documented.

Datum der letzten Änderung
07-03-2017 02:32:23

CNES

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

Datum der letzten Änderung
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).

Geographic Resources Analysis Support System, commonly referred to as GRASS GIS, is a Geographic Information System (GIS) used for data management, image processing, graphics production, spatial modelling, and visualization of many types of data.

GRASS GIS contains over 350 modules to render maps and images on monitor and paper; manipulate raster, and vector data including vector networks; process multispectral image data; and create, manage, and store spatial data. GRASS GIS offers both an intuitive graphical user interface as well as command line syntax for ease of operations. GRASS GIS can interface with printers, plotters, digitizers, and databases to develop new data as well as manage existing data.

Datum der letzten Änderung
07-03-2017 02:32:08

Open Source Geospatial Foundation (OSGeo)

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.)

Datum der letzten Änderung
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/ )

Generic Mapping Tools (GMT)

GMT is an open source collection of about 80 command-line tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing PostScript illustrations ranging from simple x–y plots via contour maps to artificially illuminated surfaces and 3D perspective views; the GMT supplements add another 40 more specialized and discipline-specific tools. GMT supports over 30 map projections and transformations and requires support data such as GSHHG coastlines, rivers, and political boundaries and optionally DCW country polygons.

Datum der letzten Änderung
07-03-2017 02:31:56

GMT Steering Committee

GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation.

As a library, it presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats. It also comes with a variety of useful command line utilities for data translation and processing. Projections and transformations are supported by the PROJ.4 library. The related OGR library (OGR Simple Features Library), which is part of the GDAL source tree, provides a similar ability for simple features vector graphics data.

Datum der letzten Änderung
07-03-2017 02:33:04

Open Source Geospatial Foundation (OSGeo)

The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsat (4, 5, 7, and 8) and Sentinel-2 data.

This website provides links to standalone versions of the Fmask software for Windows, Linux and Apple iOS. In addition, the algorithm is also provided as Matlab code.

Datum der letzten Änderung
07-03-2017 02:34:48

Neil Flood, Sean Griffin, Martin Claverie, Zhe Zhu