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  • All Categories (47)
  • Data (15)
  • News (10)
  • Missions (1)
  • Events (10)
  • Tools (3)
  • Activities (5)
  • Documents (3)
  • Document - Technical Note

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    (A)ATSR Expert Support Laboratory FAST Level 1b Product Definition

    (A)ATSR Expert Support Laboratory FAST Level 1b Product Definition.pdf

  • Event - Training

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    2nd Advanced Training Course on Ocean Remote Sensing 2009

    This advanced training course focused on ocean remote sensing theory and applications.

  • Event - Conference

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    3rd ERS Symposium

    The ESA Directorate for Observation of the Earth and its Environment held the 3rd ERS Symposium, in 1997, where many of the results from the ERS-1 and ERS-2 missions were presented and discussed by the scientific community.

  • Event - Training

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    Advanced Training Course in Ocean Remote Sensing 2011

    Within the framework of the Dragon Programme, a joint collaboration between the European Space Agency (ESA) and the Chinese Ministry of Science and Technology (MOST), ESA and NRSCC are providing a series of advanced thematic training courses on remote sensing applications hosted by university and research institutions in P.R. China.

  • Data - Announcement of Opportunity (Restrained)

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    Announcement of Opportunity for G-POD

    ESA is offering all scientists the possibility to perform bulk processing and/or validation of their own algorithms exploiting the large ESA Earth-observation archive.

  • Event - Workshop

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    Applications of the ERS Along Track Scanning Radiometer Workshop 1999

    The workshop on ERS mission's Along Track Scanning Radiometer (ATSR) instrument gathered researchers and specialists working on different applications of the mission.

  • Data - EO Sign In Authentication (Open)

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    Atmospheric Thematic Data Product [MWR_TDPATM]

    This is the Atmospheric Thematic Data Product (TDP) V1 resulting from the ESA FDR4ALT project and containing Total Column Water Vapour (TCWV), Cloud Liquid Water Path (LWP), Atmospheric Attenuation of the altimeter backscattering coefficient at Ku-band (AttKu), and Wet Tropospheric Correction (WTC), retrieved from observations of the Microwave Radiometer (MWR) instruments flown on-board the ERS-1, and ERS-2, and Envisat satellites. Compared to existing datasets, the Atmospheric TDP demonstrates notable improvements in several aspects: Improved temporal coverage, especially for ERS-2 Improved L0 -> 1 processing Two different corrections are provided based on a neural network retrieval or on a 1D-VAR approach The FDR4ALT products are available in NetCDF format. Free standard tools for reading NetCDF data can be used. Information for expert altimetry users is also available in a dedicated NetCDF group within the products. Please consult the FDR4ALT Product User Guide before using the data. The FDR4ALT datasets represent the new reference data for the ERS/Envisat altimetry missions, superseding any previous mission data. Users are strongly encouraged to make use of these datasets for optimal results.

  • Tools - Processing

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    Atmospheric Toolbox

    The Atmospheric Toolbox (previously known as BEAT) is a collection of executable tools and API, developed to facilitate the utilisation, viewing and processing of e.g. GOMOS, MIPAS, SCIAMACHY and GOME data.

  • Event - Workshop

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    CEOS-IVOS Workshop on Inter-comparison of Large Scale Optical and Infrared Sensors

    The 2004 workshop was an opportunity to present and exchange experiences and knowledge from work on inter-comparing large scale optical sensors at different product levels.

  • News - Events and Proceedings

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    Data preservation takes centre stage at Living Planet Symposium

    Against the backdrop of the famed Rhine River, world-class scientists and Earth observation data-users are gathered this week in the historical city of Bonn, at the Living Planet Symposium (LPS).

  • Activity - Projects

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    Dragon 2 Cooperation Programme

    The Dragon 2 Programme focussed on the exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for science and applications development in land, ocean and atmospheric applications.

  • Document - Newsletter

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    Earth Online Newsletter - 08 March 2024

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

  • Event - Training

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    EO Summer School 3

    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.

  • Mission - Heritage Missions

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    ERS

    The ERS programme was composed of two missions, ERS-1 and ERS-2, which together observed the Earth for 20 years, from 1991 to 2011.

  • News - Infographics

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    ERS - ESA’s first Earth observation satellites

    To mark the 30th anniversary of ERS, we've released a new infographic summarising the mission.

  • Data - Fast Registration with immediate access (Open)

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    ERS PRARE Precise Orbit Product (ERS.ORB.POD/ERS.ORB/PRC)

    The precise orbit results from a data reduction process in which all available tracking data (Single-Lens Reflex, radar altimeter crossovers, PRARE range and Doppler data) and most accurate correction, transformation and dynamical models are taken into account and in which high level numerical procedures are applied. These orbits are "optimal" achievable representations of the real orbital motion under the circumstances of tracking situation and the "state of the art" model situation. The precise orbit product for the ERS satellites are the satellite ephemeris (position and velocity vector) including time tag, given in a well-defined reference frame, together with the nominal satellite attitude information and a radial orbit correction. Several orbit solutions are currently distributed: A new set of ORB POD (Precise Orbit Determination - REAPER v2) computed with the most updated model standards for the complete ERS-1 and ERS-2 mission. A previous set of ORB POD (REAPER v1) data already available on the ESA dissemination site since 2014, covering the ERS-1 full mission and the ERS-2 mission up to July 2003. ORB PRC which is the original Precise Orbit dataset computed during the ERS mission operations for ERS-1 and ERS-2. In the new POD dataset (REAPER v2) for the ERS-1 and ERS-2 missions, two different orbit solutions are provided together with the combined solution to be used for processing of the radar altimeter measurements and the determination of geodetic/geophysical products: those computed by DEOS (Delft Institute of Earth Observation and Space Systems), and those generated by ESOC (European Space Operations Centre) using different software (GEODYN and NAPEOS respectively). Careful evaluation of the various solutions of REAPER v2 has shown that the DEOS solution for both ERS-1 and ERS-2 has the best performance and is recommended to be used as reference. See the ERS Orbit Validation Report. For the previous version of the POD data set (REAPER v1), with ERS-2 mission data only up to 2003, three different orbit solutions together with the combined solution are available. These precise orbits for ERS-1 and ERS-2 have been computed at DEOS, ESOC, and GFZ (Deutschen GeoForschungsZentrums) using different software and different altimeter databases. Combined solutions have been created using three individual solutions for each satellite. All orbits were derived using consistent models in the same LPOD2005 terrestrial reference frame. These new orbit solutions show notable improvement with respect to DGME04 orbits (Scharroo and Visser, 1998). Thus, RMS crossover differences of new orbits improved by 4-9 mm. Careful evaluation of the various solutions has shown that the combined solution for both ERS-1 and ERS-2 has the best performance. All POD orbit files (REAPER v1/v2) are available in SP3c format.

  • Document - General Reference

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    ERS-1-System.pdf

    This document offers information on the ERS-1 System to assist users in accessing ERS services and ordering products.

  • Data - Data Description

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    ERS-1/2 ATSR ARC L2P/L3U [UPA-L2P_GHRSST/L3U_GHRSST]

    The L2P product contains full resolution dual-view Sea Surface Temperature (SST) values. These SST use the ARC SST retrieval and cloud screening which differ from the methods used to produce the Gridded Surface Temperature (ATS_NR__2P) products. In addition to SST, the L2P products contain the ATSR Saharan Dust Index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm. The L2P processor also generates L3U products; these are the L2P products averaged onto a regular grid at 0.1 degree resolution (they are therefore similar to the AR / Meteo Envisat-format products). The L2P and L3U products are provided in NetCDF-4 format following GHRSST Data Specifications (GDS) v2. The L2P/L3U archive has been reprocessed with a new processor based upon the ARC SST; the changes are outlined in full in the L2P Reprocessing User Note.

  • Data - External Data (Restrained)

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    ERS-1/2 ATSR ARC Level 3 products [AT1/AT2_AVG_3PAARC]

    The recommended ATSR Level 3 products for Sea Surface Temperature (SST) applications are the ARC (ATSR Re-processing for Climate) Level 3 products. ARC reprocesses the ATSR multi-mission archive using new cloud detection and SST retrievals to produce a homogenous record of sea surface temperature. The main ARC objective is to reduce regional biases in retrieved SST to less than 0.1 K for all global oceans while creating a very homogenous record with a stability (lack of drift in the observing system and analysis) of 0.05 K per decade. ARC products are available for ATSR-1, ATSR-2 and AATSR. ARC products are provided in netCDF format and contain data for both the skin SST and the SST estimated for depths of 0.2 and 1.0 m (corresponding approximately to drifter and moored buoy depths). The AATSR estimated depth SSTs are adjusted to a local equatorial crossing time of 10:30 (approximately half an hour after observation), to provide continuity with ATSR-1 and ATSR-2 data. The ARC project was led by Chris Merchant (University of Reading, formerly of the University of Edinburgh) and funded by NERC and the UK Government.