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ERS ATSR fourth Reprocessing datasets available to users
The fourth Reprocessing of the ATSR L1B datasets derived from the ERS-1 and ERS-2 satellites have now been released to users by the European Space Agency (ESA).
ERS ATSR L1B Brightness Temperature/Radiance [ER1_AT_1_RBT / ER2_AT_1_RBT]
Band measurements with associated uncertainty estimates. The ERS-1/2 ATSR Level 1B Brightness Temperature/Radiance products (RBT) contain top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, when available, on a 1-km pixel grid. The visible channels are only available for the ATSR-2 instrument. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information. The ATSR-1 and ATSR-2 products [ER1_AT_1_RBT and ER2_AT_1_RBT], in NetCDF format stemming from the 4th ATSR reprocessing, are precursors of Envisat AATSR and Sentinel-3 SLSTR data. They have replaced the former L1B products [AT1_TOA_1P and AT2_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products, and consult the ERS ATSR Product Notice Readme document. The processing updates that have been put in place and the expected scientific improvements for the ERS ATSR 4th reprocessing data have been outlined in full in the User Documentation for (A)ATSR 4th Reprocessing Products
ESA's improved Earth system data records: what is in store for the future?
Fundamental Data Records (FDRs) are instrumental in advancing our understanding of Earth systems and for addressing societal challenges effectively. These long-term records contain uncertainty-quantified, calibrated and geo-located multi-instrument/multi-platform satellite sensor data spanning several decades to support climate-related applications.
How to request level zero radar data from ERS and Envisat
To apply to use level zero (A)SAR radar data from ESA’s European Remote Sensing satellites (ERS-1 and ERS-2) and its Envisat mission for research purposes, you should prepare and submit an online form – called a Data Service Request – to put forward your proposed project to ESA for evaluation.
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.
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).
How ESA uses space data to explore deep Earth
As anthropogenic activities continue to unbalance our environment, scientists strive to fully understand the intricate interactions within Earth’s system.
Interviewing Mirko Albani
ESA’s Heritage Space Programme Manager describes the goals of the programme, some of the challenges involved in preserving and improving 40 years of historical Earth observation data, and his passion for curating this long-term archive.
ERS' Contribution to Altimetry
Satellite radar altimetry missions have transformed the way we see Earth and its oceans. Using the ranging capability of radars, they measure the surface topography profile along a satellite’s track.
ERS Heritage Data allow for 30 years of science
At their time of launch thirty years ago, the two ERS satellites were the most sophisticated Earth observation spacecraft ever developed and launched by Europe.
ERS - ESA’s first Earth observation satellites
To mark the 30th anniversary of ERS, we've released a new infographic summarising the mission.
GOCE – An overview of ESA’s gravity satellite mission
Learn more about ESA's first Earth Explorer - the Gravity field and Ocean Circulation Explorer (GOCE) mission - in our latest infographic.
VT GOCE Data
This collection contains the VT GOCE software and associated data set needed to run the software that is used for GOCE data visualisation.
GOCE Thermosphere Data
Thermospheric density and crosswind data products derived from GOCE data. Latest baseline _0200. The GOCE+ Air Density and Wind Retrieval using GOCE Data project produced a dataset of thermospheric density and crosswind data products which were derived from ion thruster activation data from GOCE telemetry. The data was combined with the mission's accelerometer and star camera data products. The products provide data continuty and extend the accelerometer-derived thermosphere density data sets from the CHAMP and GRACE missions. The resulting density and wind observations are made available in the form of time series and grids. These data can be applied in investigations of solar-terrestrial physics, as well as for the improvement and validation of models used in space operations. Funded by ESA through the Support To Science Element (STSE) of ESA's Earth Observation Envelope Programme, supporting the science applications of ESA's Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology Göttingen. Dataset history Date Change Reason 18/04/2019 - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Updated satellite models and additional data 14/07/2016 - Time series data v1.5, covering the whole mission - Updated data set user manual Removal of noisy data 31/07/2014 - Time series data v1.4, covering the whole mission - Gridded data, now including error estimates - Updated data set user manual; Updated validation report; Updated ATBD Full GOCE dataset available 28/09/2013 Version 1.3 density/winds timeseries and gridded data released. User manual updated to v1.3 Bug fix and other changes 04/09/2013 Version 1.2 density/winds timeseries and gridded data released, with user manual First public data release of thermospheric density/winds data
GOCE TEC and ROTI
GOCE total electron content (TEC) and rate of TEC index (ROTI) data.
GOCE Telemetry
This collection contains all GOCE platform and instruments telemetry. For details see the Packets Description file.
GOCE Global Gravity Field Models and Grids
This collection contains gravity gradient and gravity anomalies grids at ground level and at satellite height. In addition it contains the GOCE gravity field models (EGM_GOC_2, EGM_GCF_2) and their covariance matrices (EGM_GVC_2): GOCE Gravity solution GRIDS Gridded Gravity gradients and anomalies at ground level: GO_CONS_GRC_SPW_2__20091101T000000_20111231T235959_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRC_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ. Latest baseline is: GO_CONS_GRC_SPW_2__20091009T000000_20131021T000000_0201.TGZ. Gridded Gravity gradients and anomalies at satellite height: GO_CONS_GRD_SPW_2__20091101T055147_20100630T180254_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055147_20120731T222822_0001.TGZ GO_CONS_GRD_SPW_2__20091101T055226_20131020T033415_0002.TGZ GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ. Latest baseline is: GO_CONS_GRD_SPW_2__20091009T000000_20131021T000000_0201.TGZ. As output from the ESA-funded GOCE+ GeoExplore project, GOCE gravity gradients were combined with heterogeneous other satellite gravity information to derive a combined set of gravity gradients complementing (near)-surface data sets spanning all together scales from global down to 5 km. The data is useful for various geophysical applications and demonstrate their utility to complement additional data sources (e.g., magnetic, seismic) to enhance geophysical modelling and exploration. The GOCE+ GeoExplore project is funded by ESA through the Support To Science Element (STSE) and was undertaken as a collaboration of the Deutsches Geodätisches Forschungsinstitut (DGFI), Munich, DE, the Christian-Albrechts-Universität zu Kiel, the Geological Survey of Norway (NGU), Trondheim, Norway, TNO, the Netherlands and the University of West Bohemia, Plzen, CZ. Read more about gravity gradients and how GOCE delivered them in this Nature article: Satellite gravity gradient grids for geophysics. View images of the GOCE original gravity gradients and gradients with topographic reduction grids. Available data GRIDS File Type Gridded data: full Gravity Gradients, at 225 km and 255 km with and without topographic correction GGG_225 Computed from GOCE/GRACE gradients lower orbit phase February 2010 - October 2013 GGG_255 Computed from GOCE/GRACE gradients nominal orbit phase February 2010 - October 2013 TGG_225 Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) TGG_225 Gravity gradient grids from topography at fixed height of 225/255 km above ellipsoid given in LNOF (Local North Oriented Frame) MAPS File Type Maps of Gravity Gradients with and without topographic corrections Vij_225km_Patch_n.jpg Maps of grids from lower orbit phase with and without topographic correction from ETOPO1 Along-orbit File Type Full Gravity Gradients, along-orbit, in GRF and TRF reference frames. A detailed description is provided in the data set user manual GGC_GRF Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) in the GRF (Gradiometer Reference Frame) GGC_TRF Combined gradients from GRACE (long wavelengths) & GOCE (measurement band) rotated from GRF to TRF (Terrestrial Reference Frame: North, West, Up) Direct solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100110T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100110T235959_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100630T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100630T235959_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110419T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110419T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110419T235959_0001.IDF Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120801T060000_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120801T060000_0002.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0002.TG Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131020T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131020T235959_0001.IDF Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131020T235959_0201.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131020T235959_0201.IDF Release 6 gravity model validation report. Time-Wise solution First Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100111T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100111T000000_0002.TGZ Second Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20100705T235500_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20100705T235500_0001.TGZ Third Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20110430T235959_0001.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20110430T235959_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GCF_2__20091101T000000_20110430T235959_0001.IDF Fourth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20120618T235959_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20120618T235959_0001.TGZ Fifth Generation Product: GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0002.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091101T000000_20131021T000000_0001.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091101T000000_20131021T000000_0001.IDF Sixth Generation Product: GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.TGZ Variance/Covariance matrix: GO_CONS_EGM_GVC_2__20091009T000000_20131021T000000_0202.TGZ Coefficients (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20131021T000000_0201.IDF Combined gravity field GOCE model plus Antarctic and Arctic data (ICGEM format): GO_CONS_EGM_GOC_2__20091009T000000_20160119T235959_0201.IDF Download release 6 gravity model validation report.
GOCE Level 2
This collection contains GOCE level 2 data: Gravity Gradients in the gradiometer reference frame (EGG_NOM_2), in the terrestrial reference frame (EGG_TRF_2), GPS receiver derived precise science orbits (SST_PSO_2) and the non-tidal time variable gravity field potential with respect to a mean value in terms of a spherical harmonic series determined from atmospheric and oceanic mass variations as well as from a GRACE monthly gravity field time series (SST_AUX_2). EGG_NOM_2_: latest baseline: _0203 EGG_TRF_2_: latest baseline _0101 SST_AUX_2_: latest baseline _0001 SST_PSO_2_: latest baseline _0201.
GOCE Level 1
This collection contains the GOCE L1b data of the gradiometer, the star trackers, the GPS receiver, the magnetometers, magnetotorquers and the DFACS data of each accelerometer of the gradiometer. EGG_NOM_1b: latest baseline _0202 SST_NOM_1b: latest baseline _000x (always take the highest number available) ACC_DFx_1b: latest baseline _0001 (x=1:6) MGM_GOx_1b: latest baseline _0001 (x=1:3) MTR_GOC_1b: latest baseline _0001 SST_RIN_1b: latest baseline _000x (always take the highest number available) STR_VC2_1b: latest baseline _000x (always take the highest number available) STR_VC3_1b: latest baseline _000x (always take the highest number available).
GOCE satellite housekeeping parameters database
All GOCE satellite housekeeping telemetry parameters have been published on the GOCE Online Dissemination Service.