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  • News - Thematic area articles

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    Monitoring water on Earth's surface

    ESA's Earth observation satellites are playing a leading role in furthering our understanding of how Earth's terrestrial hydrosphere is being influenced by humankind.

  • Data - Announcement of Opportunity

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    Announcement of Opportunity for SAOCOM

    In cooperation with CONAE (Comisión Nacional de Actividades Espaciales), ESA is launching an Announcement of Opportunity for the international scientific community to access data from the SAOCOM mission for science and EO-based applications development.

  • Document - Newsletter

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    Earth Online Newsletter - 16 December 2022

    This issue of the Earth Online Newsletter covers a selection of the latest news and events from ESA.

  • News - Events and Proceedings

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    ESA invites scientists to submit abstracts for EGU 2023

    ESA is calling for researchers to submit abstracts for sessions at the next General Assembly of the European Geosciences Union (EGU 2023).

  • News - Thematic area articles

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    Global understanding of Earth's land surfaces greatly boosted by satellite data

    ESA perform land surface monitoring with a range of instruments onboard satellites acquiring optical and radar data. Collections of data from these missions are freely available for research purposes.

  • News - Events and Proceedings

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    SMOS data advances space weather and ionospheric research

    ESA is taking steps to innovate ways to use SMOS data to support solar scientists and the space weather community, as set out in a workshop held recently in ESRIN.

  • News - Data Release news

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    Minor Update for the SMOS Near Real Time Sea Surface Wind Speed Processor

    An updated version of the SMOS Near Real Time Sea Surface Wind Speed Processor - Version 302 - was released on the 23 November 2022.

  • News - Infographics

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    An overview of ESA's Biomass Earth Explorer satellite

    Learn about ESA's upcoming Biomass mission, which is dedicated to gathering information about the global distribution of forest biomass, in our latest infographic.

  • News - Success Stories

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    SMOS data improve estimates of rainfall in Africa

    Scientists have used soil moisture data from ESA’s SMOS mission to correct high-resolution satellite-based estimates of precipitation in Africa.

  • News - Success Stories

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    Studying forest biomass from space

    Forestry expert Maurizio Santoro, senior researcher at Gamma Remote Sensing and one of the leaders of ESA projects related to the Climate Change Initiative (CCI), explains how the use of various data.

  • Data - Data Description

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    PAZ ESA archive

    The PAZ ESA archive collection consists of PAZ Level 1 data previously requested by ESA supported projects over their areas of interest around the world and, as a consequence, the products are scattered and dispersed worldwide and in different time windows. The dataset regularly grows as ESA collects new products over the years. Available modes are: StripMap mode (SM): SSD less than 3 m for a scene 30 km x 50 km in single polarization or 15 km x 50 km in dual polarisation ScanSAR mode (SC): the scene is 100 x 150 km2, SSD less than 18 m in signle pol only Wide ScanSAR mode (WS): single polarisation only, with SS less than 40 m and scene size of 270 x 200 km2 Spotlight modes (SL): SSD less than 2 m for a scene 10 km x 10 km, both single and dual polarization are available High Resolution Spotlight mode (HS): in both single and dual polarisation, the scene is 10x5 km2, SSD less than 1 m Staring Spotlight mode (ST): SSD is 25 cm, the scene size is 4 x 4 km2, in single polarisation only.   The available geometric projections are: Single Look Slant Range Complex (SSC): single look product, no geocoding, no radiometric artifact included, the pixel spacing is equidistant in azimuth and in ground range  Multi Look Ground Range Detected (MGD): detected multi look product, simple polynomial slant-to-ground projection is performed in range, no image rotation to a map coordinate system is performed Geocoded Ellipsoid Corrected (GEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid with no terrain corrections Enhanced Ellipsoid Corrected (EEC): multi look detected product, projected and re-sampled to the WGS84 reference ellipsoid, the image distortions caused by varying terrain height are corrected using a DEM.   The following table summarises the offered product types. EO-SIP product type Operation Mode Geometric Projection Geometric Projection PSP_SM_SSC Stripmap (SM) Single Look Slant Range Complex (SSC) PSP_SM_MGD Stripmap (SM) Multi Look Ground Range Detected (MGD) PSP_SM_GEC Stripmap (SM) Geocoded Ellipsoid Corrected (GEC) PSP_SM_EEC Stripmap (SM) Enhanced Ellipsoid Corrected (EEC) PSP_SC_MGD ScanSAR (SC) Multi Look Ground Range Detected (MGD) PSP_SC_GEC ScanSAR (SC) Multi Look Ground Range Detected (MGD) PSP_SC_EEC ScanSAR (SC) Geocoded Ellipsoid Corrected (GEC) PSP_SC_SSC ScanSAR (SC) Enhanced Ellipsoid Corrected (EEC) PSP_SL_SSC Spotlight (SL) Single Look Slant Range Complex (SSC) PSP_SL_MGD Spotlight (SL) Multi Look Ground Range Detected (MGD) PSP_SL_GEC Spotlight (SL) Geocoded Ellipsoid Corrected (GEC) PSP_SL_EEC Spotlight (SL) Enhanced Ellipsoid Corrected (EEC) PSP_HS_SSC High Resolution Spotlight (HS) Single Look Slant Range Complex (SSC) PSP_HS_MGD High Resolution Spotlight (HS) Multi Look Ground Range Detected (MGD) PSP_HS_GEC High Resolution Spotlight (HS) Geocoded Ellipsoid Corrected (GEC) PSP_HS_EEC High Resolution Spotlight (HS) Enhanced Ellipsoid Corrected (EEC) PSP_ST_SSC Staring Spotlight (ST) Single Look Slant Range Complex (SSC) PSP_ST_MGD Staring Spotlight (ST) Multi Look Ground Range Detected (MGD) PSP_ST_GEC Staring Spotlight (ST) Geocoded Ellipsoid Corrected (GEC) PSP_ST_EEC Staring Spotlight (ST) Enhanced Ellipsoid Corrected (EEC) PSP_WS_SSC Wide ScanSAR (WS) Single Look Slant Range Complex (SSC) PSP_WS_MGD Wide ScanSAR (WS) Multi Look Ground Range Detected (MGD) PSP_WS_GEC Wide ScanSAR (WS) Geocoded Ellipsoid Corrected (GEC) PSP_WS_EEC Wide ScanSAR (WS) Enhanced Ellipsoid Corrected (EEC)

  • Campaign

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    SARSimHT

    The main objective of “SARSimHT – Airborne SAR experiment to simulate Hydroterra data” was to demonstrate the image formation process of Hydroterra through the exploitation of a repeat-pass hyper-temporal airborne SAR image stack acquired over short time intervals representative of the Hydroterra mission.

  • News - Success Stories

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    Satellite data predicts lower wheat crop yield

    In a market pressed with short supply of grain the dry spring weather of 2022 was devastating for European wheat production, according to a new drought monitor that draws on data from ESA’s SMOS Earth observation mission

  • Event - Training

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    EO Summer School 6

    ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.

  • Event - Training

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    EO Summer School 5

    ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.

  • Event - Training

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    EO Summer School 4

    ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.

  • Campaign

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    HydroSoil

    The main objective of HydroSoil was to demonstrate the retrieval of soil moisture and vegetation parameters in an agricultural field under controlled conditions using a ground-based fully-polarimetric SAR instrument (GB-PolSAR).

  • 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.

  • News - Infographics

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    PROBA-1 - From technology demonstration to long-term Earth observation

    Learn about ESA's PROBA-1 (Project for On-Board Autonomy) mission in our new infographic.

  • News - Events and Proceedings

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    QA4SM Evolution in FRM4SM presented at sixth Soil Moisture Validation Workshop

    The use and distribution of EO Soil Moisture (SM) data calls for rigorous, automated quality assessment procedures.

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