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  • Data (4)
  • News (5)
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  • Events (3)
  • Tools (2)
  • Activities (1)
  • Documents (271)
  • News - Thematic area articles

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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.

  • Document - General Reference

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    The-Changing-Earth-New-Scientific-Challenges-for-ESAs-Living-Planet-Programme.pdf

    This article is extracted from ESA Bulletin Nr. 129.

  • Document - General Reference

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    Satellite-radar-in-agriculture-Experience-with-ERS-1.pdf

    This document has been prepared by an ESA Specialist Panel charged with the task of reviewing research work and progress so far, and making recommendations for future developments and integration of satellite radar data into operational crop monitoring systems.

  • News - Data Release news

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    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 - Spotlight on EO community

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    Introducing Mirko Albani

    In this short introduction, ESA's Heritage Missions Programme Manager describes what he likes most about ESA's long term archive of satellite mission data and his role in the programme.

  • Tools - Apps

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    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

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    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.

  • Document - General Reference

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    Healing-the-Earth-Earth-Observation-Supporting-International-Environmental Conventions.pdf

    This article is extracted from ESA Bulletin Nr. 128.

  • Document - General Reference

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    Further-Achievements-of-the-ERS-Missions.pdf

    This publication shows how with time the various uses of ERS data are developing and consolidating in key areas of science and economic exploitation.

  • Document - Proceedings

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    ERS-Envisat Symposium

  • Data - Fast Registration with immediate access (Open)

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    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

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 May 2010

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 May 2004

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Mar 2003

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Jan 2011

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Jan 2005

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 31 Aug 2009

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 Nov 2009

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report

  • Document - Quality Report

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    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report 30 May 2011

    ERS-2 AMI-SAR/AMI-Scatterometer Weekly Report