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Transforming space data into climate action
ESA’s Earth observation activities are playing a key role in the revitalised global drive to combat climate change.
Swarm-Aurora
Swarm-Aurora, a web-based tool, was designed to facilitate and drive the use of Swarm in-situ measurements in auroral science.
Swarm
Swarm is dedicated to creating a highly detailed survey of Earth’s geomagnetic field and its temporal evolution as well as the electric field in the atmosphere using a constellation of three identical satellites.
New reprocessing of datasets celebrates 30 years of ERS
The ERS programme celebrated its 30th anniversary on 17 July. Today, we are still exploiting ERS data and experts continue to work on improving the altimeter, radiometer and SAR data the programme acquired.
How Envisat helped to shape global understanding of Earth’s systems
Twenty years have passed since a ground-breaking European spacecraft designed to deliver unprecedented insight into the planet’s changing environment was lofted into orbit.
Heritage Missions app for iOS
Download the Heritage Missions application to discover what the missions were about, how it worked and what the elements of the space and ground segment that make these missions unique.
Heritage Missions app for Android
Download the Heritage Missions application to discover what the missions were about, how it worked and what the elements of the space and ground segment that make these missions unique.
GOCE
ESA's Gravity field and Ocean Circulation Explorer (GOCE) mission mapped Earth's geoid very accurately, opening a window into Earth's interior structure as well as the currents circulating within the depths of its oceans.
ERS-2 SCATTEROMETER Surface Soil Moisture Time Series and Orbit product in High and Nominal Resolution [SSM.H/N.TS - SSM.H/N]
Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universität (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool DGG Point Locator. Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40° incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (High resolution) Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (Nominal resolution). The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality Readme file before using the ERS-2 Surface Soil Moisture data.
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 May 2010
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 May 2004
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Mar 2003
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Jan 2011
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Jan 2005
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Aug 2009
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 Nov 2009
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 May 2011
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 Jun 2002
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 Aug 2010
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 29 Sep 2003
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report