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.

Date of last change
07-03-2017 02:29:51

Per Jönsson, Malmö University; Lars Eklundh, Lund University

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, ...).

Date of last change
07-03-2017 02:30:19

SAGA User Group Asssociation

The software 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 package implements the Fmask algorithm as a Python module. It is intended that this can be wrapped in a variety of main programs which can handle the local details of how the image files are named and organised, and is intended to provide maximum flexibility. It should not be tied to expecting the imagery to be layed out in a particular manner. This modular design also simplifies the use of the same core algorithm on either Landsat and Sentinel imagery. The wrapper programs take care of differences in file organisation and metadata formats, while the core algorithm is the same for both

Date of last change
07-03-2017 02:30:44

Neil Flood, Sam Gillingham

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.

Date of last change
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.

Date of last change
07-03-2017 02:31:30

European Space Agency (ESA)

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.

Date of last change
07-03-2017 02:31:44

NPL, Brockmann Consulting

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.

Date of last change
07-03-2017 02:31:56

GMT Steering Committee

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.

Date of last change
07-03-2017 02:32:08

Open Source Geospatial Foundation (OSGeo)

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.

Date of last change
07-03-2017 02:32:23

CNES

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.

Date of last change
07-03-2017 02:32:35

Open Source Geospatial Foundation (OSGeo)

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.

Date of last change
07-03-2017 02:33:04

Open Source Geospatial Foundation (OSGeo)

The Automated Radiative Transfer Models Operator (ARTMO) Graphic User Interface (GUI) is a software package that provides essential tools for running and inverting a suite of plant RTMs, both at the leaf and at the canopy level.

ARTMO facilitates consistent and intuitive user interaction, thereby streamlining model setup, running, storing and spectra output plotting for any kind of optical sensor operating in the visible, near-infrared and shortwave infrared range (400-2500 nm).

Date of last change
07-03-2017 02:33:16

Universitat de València, IPL Image Processing Laboratory

Broadview Radar Altimetry Toolbox (BRAT)

The Broadview Radar Altimetry Toolbox is a tool designed to use radar altimetry data. It is available in 32-bit and 64-bit versions for Windows, Mac OS X and Linux (Debian 7). The Broadview Radar Altimetry Tutorial and Toolbox is a joint project between ESA and CNES to develop an open source tool (LGPL-3) freely available to all the altimetry community. The toolbox is able to: -read all altimetry data from official data centres, from ERS-1 and 2, Topex/Poseidon, Geosat Follow-on, Jason-1, Envisat, Jason-2, Cryosat and Sentinel-3, from Sensor Geophysical Data Record to gridded merged data -do some processing and computations -visualise the results

Date of last change
07-03-2017 02:33:28

ESA, CNES, DEIMOS Engenharia S.A., isardSAT UK, TU Delft

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.

Date of last change
07-03-2017 02:33:40

European Space Agency (ESA)

Copernicus Data Access and Exploitation Platform for Germany (CODE-DE) - User Tools

This tools package publishes several scripts, examples and utilities to automate queries and data retrieval from the CODE-DE offerings.

Date of last change
07-03-2017 02:33:52

German Aerospace Center (DLR)

ESA Sentinel App for Android and iOS

The Sentinel App is a gateway to knowing the Sentinel satellites. It lets users track the satellites in real-time, discover their key elements, read the latest news and learn more about their products. Users can, among other things, explore detailed 3D models of the satellites, see the last and next time they have been and will be over the user's location, move the satellites to the time of the last data transmission and smoothly move them back to their current location over the 3D globe. Notifications can also be set to be warned when the satellites are flying by. ESA is developing a series of next-generation Earth observation missions, on behalf of the joint ESA/European Commission initiative Copernicus (previously GMES - Global Monitoring for Environment and Security). The goal of the program is to replace current and older Earth observation missions, such as ERS and Envisat, which have reached or are close to reaching the end of their operational life span. This will ensure a continuity of data so that there are no gaps in ongoing studies. Each mission will focus on a different aspect of Earth observation, such as Atmospheric, Oceanic or Land monitoring, and the data will be of use in many applications. ESA Sentinel App for Android (Google Play link) https://play.google.com/store/apps/details?id=esa.sentinel ESA Sentinel App for iOS (iTunes Link) https://itunes.apple.com/us/app/esa-sentinel/id1036738151

Date of last change
07-03-2017 02:34:02

European Space Agency (ESA)

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.

Date of last change
07-03-2017 02:34:48

Neil Flood, Sean Griffin, Martin Claverie, Zhe Zhu

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
27-04-2017 01:09:29

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 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
27-04-2017 01:09:29

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.

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

ESA Sentinel Application Platform (SNAP)

The ESA Sentinel Application Platform (SNAP) is a common architecture for all Sentinel Toolboxes jointly being developed by Brockmann Consult, Array Systems Computing and C-S. The SNAP architecture is ideal for Earth Observation processing and analysis due the following technological innovations: Extensibility, Portability, Modular Rich Client Platform, Generic EO Data Abstraction, Tiled Memory Management, and a Graph Processing Framework.

Date of last change
10-03-2017 02:09:13

European Space Agency (ESA)

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
24-05-2017 06:37:44

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/ )

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.

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.

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.

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 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.

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
27-04-2017 01:09:29

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-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: 10 days
Launch date: 23 June 2015
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
27-04-2017 01:09:29

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 View Service provides access to CODE-DE products.

Date of last change
17-05-2017 07:16:11