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  • WISE

    The objective of WInd and Salinity Experiment 2001 (WISE 2001) campaign was to get more data points and better wind speed measurements.

  • Validation Report following the 3rd MERIS data reprocessing

    This document prepared by the MERIS Quality Working Group (QWG) corresponds to the Validation Report following the 3rd MERIS data reprocessing. It aims at qualifying and quantifying the accuracy of the MERIS L2 products generated with the version 8.0 of MERIS Ground Segment prototype (MEGS), delivered to the whole community through the ODESA software (http://earth.eo.esa.int/odesa/). It is equivalent to version 6.0 of the Instrument Processing Facilities (IPF) at ESRIN.

  • Validation of GOMOS version ozone profiles

    Validation of GOMOS version ozone profiles using ground-based lidar observations

  • URBIS24

    URBan Insights from Space (URBIS24) Workshop will offer an insightful exploration of urban challenges and innovative EO-integrated solutions.

  • Updated Precise Orbit data (POD) for the full ERS-1 and ERS-2 mission available

    The Precise Orbit files (ERS.ORB.POD) for the entire ERS-1 and ERS-2 mission periods have been reprocessed with up-to-date standards.

  • TanSat

    The TanSat mission is one of the Earth Observation projects managed by the Ministry of Science and Technology of China and is dedicated to detecting and monitoring carbon dioxide in the atmosphere.

  • 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.

  • Spotlight on sea-level rise

    Scientists to share findings on how satellite has revealed changes in the height of the sea, ice, inland bodies of water and more.

  • SMOS L2 Sea Surface Salinity products documentation updates

    SMOS L2 Sea Surface Salinity product validation report is now available.

  • SMOS

    The Soil Moisture and Ocean Salinity (SMOS) mission is dedicated to making global observations of soil moisture over land and salinity over oceans.

  • SHARP-Level-2-User-Guide.pdf

    This document provides the user with detailed description of data treatment performed during NOAA SHARP Level-2 generation and explanation and examples of how to read SHARP Level-2 data and extract information.

  • SEOM CAWA

    The Advanced Clouds, Aerosols and WAter vapour products for Sentinel-3/OLCI project aims to develop and improve the advanced atmospheric retrieval algorithms developed for MERIS and OLCI instruments.

  • SCISAT-1

    SCISAT-1 is designed to make observations of Earth's atmosphere and its main instruments are an optical Fourier transform infrared spectrometer and an ultraviolet spectrophotometer.

  • SciaL1C Command-line Tool

    The SCIAMACHY Calibration and Extraction Tool (SciaL1c) is an application to process SCIAMACHY Level 1b products. It allows you to select specific calibrations to apply to Level 1b data.

  • Retrievals-for-the-Atmospheric-Chemistry-Experiment-Fourier-Transform-Spectrometer.pdf

    This paper describes the approach developed for the retrieval of atmospheric temperature and pressure from the troposphere to the lower thermosphere as well as the strategy for retrievals of volume-mixing ratio profiles of atmospheric species.

  • QA4EO-RUT

    The ‘RUT' tool project has the overall objective is to define a generic software implementable methodology for assessing the radiometric uncertainty per pixel of the TOA radiance/reflectance products.

  • QA4EO-ATLAS

    A pulsed Tuneable Laser system for the characterisation of Spectrometers

  • PROBA-1

    PROBA-1 is a technology demonstration satellite that later became an operational Earth observation mission.

  • Optical Data processor of the European Space Agency

    ODESA system provides a complete Level 2 processing environment for the MERIS instrument and future Sentinel-3 optical sensors.

  • Odin-SMR

    ESA/SPPA took the initiative to support the reprocessing of all Odin-SMR measurements in order to create a fully consistent and homogeneous dataset of stratospheric species profiles.