- All Categories (336)
- Data (4)
- News (5)
- Missions (2)
- Events (3)
- Tools (2)
- Activities (2)
- Campaigns (5)
- Documents (313)
Campaign
TropiScat
The major objectives of the experiment were the temporal survey of the variation of the measurements in time scales ranging from diurnal, weekly, monthly, up to 12 months of observation.
News - Thematic area articles
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.
News - Success Stories
Trailblazing ERS-2 mission enables climate change applications
As ESA’s ERS-2 satellite approaches Earth’s atmosphere for reentry, it’s time to reflect on the mission’s great achievements in powering climate-related applications.
Activity - Quality
SCIRoCCo
The SCIRoCCo project is an interdisciplinary cooperation of scatterometry experts aimed at promoting the continuing exploitation of ESA's unique 20 years' worth of ERS Scatterometer data.
Campaign
ROVE (1975-1981)
The Dutch research team ROVE (Radar Observation on Vegetation), funded by the remote sensing organization NIWARS, started in 1974 to investigate the scattering of microwaves by crops and soils, in order to help interpretation of radar imagery.
Campaign
NoSREx-I -II and -III
The Nordic Snow Radar Experiment (NoSREx) took place between November 2009 and May 2010. The objective of the campaign was to provide a continuous time series of active and passive microwave observations of snow cover in a representative location.
News - Data Release news
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.
News - Success Stories
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.
Tools - Apps
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.
Tools - Apps
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.
Data - Fast Registration with immediate access (Open)
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.
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 May 2010
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 May 2004
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Mar 2003
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Jan 2011
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Jan 2005
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Aug 2009
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 Nov 2009
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
Document - Quality Report
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 May 2011
ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report
