AndreaBozzo/ceres-open-data-index huggingface dataset:
GEOSAT-1 and 2 ESA archive - Deimos

GEOSAT 1 and 2 collection is composed of products acquired by the GEOSAT 1 and GEOSAT 2 Spanish satellites. The collection regularly grows as ESA collects new products.GEOSAT-1 standard products offered are:• SL6_22P: SLIM6, 22m spatial resolution, from bank P• SL6_22S: SLIM6, 22m spatial resolution, from bank S• SL6_22T: SLIM6, 22m spatial resolution, 2 banks merged togetherGEOSAT-1 products are available in two different processing levels:• Level 1R: All 3 Spectral channels combined into a band-registered image using L0R data. Geopositioned product based on rigorous sensor model. Coefficients derived from internal and external satellite orientation parameters coming from telemetry and appended to metadata.• Level 1T: data Orthorectified to sub-pixel accuracy (10 meters RMS error approximately) with respect to Landsat ETM+ reference data and hole-filled seamless SRTM DEM data V3, 2006 (90 m). The use of the GCPs, it is not automatic, as it is done manually, which gives greater precision. (GCPs by human operators).GEOSAT-2 standard products offered are:• Pan-sharpened (HRA_PSH four-band image, HRA_PS3 321 Natural Colours, HRA_PS4 432 False Colours): a four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserve all spectral features of the multispectral bands, so it should not be used for radiometric purposes.• Panchromatic (HRA_PAN): a single-band image coming from the panchromatic sensor.HRA_MS4: Multispectral (HRA_MS4): a four-band image coming for the multispectral sensor, with band co-registration.• Bundle (HRA_PM4): a five-band image contains the panchromatic and multispectral products packaged together, with band co-registration.• Stereo Pair (HRA_STP): The image products obtained from two acquisitions of the same target performed from different viewpoints in the same pass by using the agility feature of the platform. It can be provided as a pair of pan sharpened or panchromatic images.GEOSAT-2 products are available in two different processing levels:• Level 1B: A calibrated and radiometrically corrected product, but not resampled. The product includes the Rational Polynomial Coefficients (RPC), the metadata with gain and bias values for each band, needed to convert the digital numbers into radiances at pixel level, and information about geographic projection (EPGS), corners geolocation, etc.• Level 1C: A calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid. The geometric information is contained in the GeoTIFF tags.Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/GEOSAT/ available on the Third Party Missions Dissemination Service.
Envisat GOMOS Level 2 - Residual extinction [GOM_EXT_2P]

Re-computed transmission spectra corrected for scintillation and dilution effects, before and after inversion.  Coverage is as follows: - Elevation range: +62 deg to +68 deg - Azimuth range: +90 deg to +190 deg (with respect to the flight direction) The file size is 1 Mbyte/occultation, depending on the duration of the occultation.
SMOS Level 3C Sea Ice Thickness

The SMOS Level 3 Sea Ice Thickness product, in NetCDF format, provides daily estimations of SMOS-retrieved sea ice thickness (and its uncertainty) at the edge of the Arctic Ocean during the October-April (winter) season, from year 2010 onwards.  The sea ice thickness is retrieved from the SMOS L1C product, up to a depth of approximately 0.5-1 m, depending on the ice temperature and salinity.  Daily maps, projected on polar stereographic grid of 12.5 km, are generated by the Alfred Wegener Institut (AWI).  This product is complementary with sea ice thickness measurements from ESA&apos;s CryoSat and Copernicus Sentinel-3 missions.
Envisat ASAR WM Ocean Wave Spectra L2  [ASA_WVW_2P]

This ASAR Wave Mode product is created by inverting the cross-spectra computed from inter-look processing of the SLC wave imagettes to derive the directional ocean product ocean wave spectra. Auxiliary ADSs included with the product remains the same as for the ASAR Wave Mode Cross-Spectra product.  The output follows the format of the Envisat ASAR Level 1B Wave Mode Imagette Cross-Spectra (ASA_WVS_1P) product. This is done in order to be compatible with the ground segment products of Envisat ASAR.  This product provides a continuation of the ERS-SAR wave mode data.  Output: Wavelength range from 20 to 1000 m in 24 logarithmic steps
ODIN SMR data products

The latest Odin Sub-Millimetre Radiometer (SMR) datasets have been generated by Chalmers University of Technology and Molflow within the Odin-SMR Recalibration and Harmonisation project (http://odin.rss.chalmers.se/), funded by the European Space Agency (ESA) to create a fully consistent and homogeneous dataset from the 20 years of satellite operations. The Odin satellite was launched in February 2001 as a joint undertaking between Sweden, Canada, France and Finland, and is part of the ESA Third Party Missions (TPM) programme since 2007.  The complete Odin-SMR data archive was reprocessed applying a revised calibration scheme and upgraded algorithms. The Level 1b dataset is entirely reconsolidated, while Level 2 products are regenerated for the main mesospheric and stratospheric frequency modes (i.e., FM 01, 02, 08, 13, 14, 19, 21, 22, 24). The resulting dataset represents the first full-mission reprocessing campaign of the mission, which is still in operation.
Cartosat-1 Euro-Maps 3D

A large number of European cities are covered by this dataset; for each city you can find one or more Cartosat-1 ortho image products and one or more Euro-Maps 3D DSM tiles clipped to the extent of the ortho coverage. The Euro-Maps 3D DSM data is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m in-flight stereo data with a vertical accuracy of 10m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: •	The dsm layer (dsm.tif) contains the elevation heights as a geocoded raster file •	The source layer (src.tif) contains information about the data source for each height value/pixel •	The number layer (num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM  •	The quality layer (qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications •	The accuracy vertical layer (acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5m resolution. The following table defines the offered product types EO-SIP product type	Description PAN_PAM_3O	IRS-P5 Cartosat-1 ortho image DSM_DEM_3D	IRS-P5 Cartosat-1 DSM   ESA offers registered users the access to the Online Dissemination server to the following data collections  * European Cities: Cartosat-1 Euro-Maps 3D [link to https://earth.esa.int/eogateway/catalog/cartosat-1-euro-maps-3d]
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&apos;s accelerometer and star camera data products. The products provide data continuity 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&apos;s Earth Observation Envelope Programme, supporting the science applications of ESA&apos;s Living Planet programme, the project was a partnership between TU Delft, CNES and Hypersonic Technology Göttingen.  Dataset History Date:  18/04/2019 Change: - Time series data v2.0, covering the whole mission - Updated data set user manual - New satellite geometry and aerodynamic model (http://thermosphere.tudelft.nl/) - New vertical wind field - New data for the deorbit phase, (GPS+ACC and GPS-only versions) Reason: Updated satellite models and additional data  Date: 14/07/2016 Change: - Time series data v1.5, covering the whole mission - Updated data set user manual Reason: Removal of noisy data  Date: 31/07/2014 Change: - 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 Reason: Full GOCE dataset available  Date: 28/09/2013 Change: - Version 1.3 density/winds timeseries and gridded data released - User manual updated to v1.3 Reason: Bug fix and other changes  Date: 04/09/2013 - Version 1.2 density/winds timeseries and gridded data released, with user manual Reason: First public data release of thermospheric density/winds data
ERS-1/2 ATSR Gridded Brightness Temperature/Reflectance  [AT1/AT2_TOA_1P]

The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel.  The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing  (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf)
GeoEye-1 full archive and tasking

GeoEye-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, GeoEye-1 offers archive and tasking panchromatic products up to 0.41m GSD resolution and Multispectral products up to 1.65m GSD resolution.  Band Combination: STANDARD(2A)/VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP-READY (ORTHO) 1:12.000 Orthorectified Resolution: 0.30m, 0.40m, 0.50m and 0.60m  The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue.
ERS-1/2 ATSR Averaged Surface Temperature [AT1/AT2_AR__2P]

The Averaged Surface Temperature Product (AST) contains averaged geophysical data at two different resolutions, and with respect to two different averaging schemes: measurement data sets at resolutions of 0.5 by 0.5 degrees and 10 by 10 arcmin with respect to a latitude/longitude grid; other data sets contain data averaged over equal area cells of 50 by 50 km and 17 by 17 km aligned with the satellite ground track.  Both top-of-atmosphere and surface data sets are provided. The surface temperature data sets provide, for sea cells, nadir and dual view sea surface temperatures, and for land cells, land surface temperature (currently 11 micron BT) and NDVI. Cloud data is also included. No ADS are included in the AST product; auxiliary data is contained within the MDS. The data sets of the AST product are arranged by surface type and resolution.  The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing (https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf)
Pléiades Neo full archive and tasking

Very High Resolution optical Pléiades Neo data at 30 cm PAN resolution (1.2 m 6- bands Multispectral) are available as part of the Airbus provision with twice daily revisit capability over the entire globe. The swath width is 14 km (footprint at nadir).  Band combinations:  · Pansharpened: colour image at 0.3 m resolution: Natural colour (3 bands RGB), false colour (3 bands NIRRG), 4 bands (RGB+NIR), 6 bands  · Bundle: 0.3 m panchromatic image and 1.2 m multispectral image (4 or 6 bands) simultaneously acquired  Geometric processing levels:  •Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. •Projected: The products is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. •Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects.  All details about the data provision, data access conditions and quota assignment procedure are described in the _$$Terms of Applicability$$ https://earth.esa.int/eogateway/documents/20142/37627/SPOT-Pleiades-data-terms-of-applicability.pdf available in Resources
ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P]

The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation.  Product characteristics:  - Pixel size:                        8 m (range - across track) x 4 m (azimuth - along track – varying slightly  depending on acquisition Pulse Repetition Frequency) - Scene area:                    100 km (range) x at least 102.5 km (azimuth) - Scene size:                      5000 samples (range) x at least 30000 lines (azimuth) - Pixel depth:                    32 bits signed integer (16 bits I, 16 bits Q) - Total product volume:  575 MB - Projection:                      Slant range - Number of looks:          1
ResourceSat-1/IRS-P6 full archive

ResourceSat-1 (also known as IRS-P6) archive products are available as below.  • LISS-IV MN: Mono-Chromatic, Resolution 5 m, Coverage 70 km x 70 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2010, Global Archive 2003 - 2013 • LISS-III: Multi-spectral, Resolution 20 m, Coverage 140 km x 140 km, Radiometrically and Ortho (DN) corrected (ortho delivered without Band 5), Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013 • AWiFS: Multi-spectral, Resolution 60 m, Coverage 370 km x 370 km, Radiometrically and Ortho (DN) corrected, Acquisition in Neustrelitz 2004 - 2013, Global Archive 2003 - 2013  Note: • LISS-IV: Mono-Chromatic, the band is selectable. In practice the red is used. • For LISS-IV MN and LISS-III ortho corrected: If unavailable, user has to supply ground control information and DEM in suitable qualityFor AWiFS ortho corrected: service based on in house available ground control information and DEM The products are available as part of the GAF Imagery products from the Indian missions: IRS-1C, IRS-1D, CartoSat-1 (IRS-P5), ResourceSat-1 (IRS-P6) and ResourceSat-2 (IRS-R2) missions. ‘ResourceSat-1 archive’ collection has worldwide coverage: for data acquired over Neustrelitz footprint, the users can browse the EOWEB GeoPortal catalogue (http://www.euromap.de/products/serv_003.html) to search archived products; worldwide data (out the Neustrelitz footprint) can be requested by contacting GAF user support to check the readiness since no catalogue is not available. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability (https://earth.esa.int/eogateway/documents/20142/37627/Indian-Data-Terms-Of-Applicability.pdf).
Urban Canopy Mapping

Canopy mapping is important to understand the distribution and health of trees in cities and suburban areas. It allows planning for reducing urban heat island effects and improve air quality and biodiversity. Health and wellbeing are also influenced by urban trees. Accurate tree detection at high spatial resolution allows for better management and for the identification of a variety of microhabitats, such as building edges and small green spaces. For that, digital elevation models (DEM) are an ideal source of data.
Sentinel-3 Products

The main objective of the SENTINEL-3 mission is to measure sea surface topography, sea and land surface temperature, and ocean and land surface colour with high accuracy and reliability to support ocean forecasting systems, environmental monitoring and climate monitoring. This collection represents the Level-1 and Level-2 Full OLCI products. These products include Top-Of-Atmosphere (TOA) radiometric measurements, radiometrically corrected, calibrated and spectrally characterised. It is quality controlled, ortho-geolocated (latitude and longitude coordinates, altitude) and annotated with satellite position and pointing, landmarks and preliminary pixel classification (e.g. land/water/cloud masks). Products are generated in FR (300 m) for the whole globe with the same coverage. This collection also provides SAR Radar Altimeter (SRAL) level-1 products and land products level-2 (SR_2_LAN) products and SLSTR products.
Envisat AATSR Meteo product [ATS_MET_2P]

The data was original designed as a fast delivery Meteo product for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. This product is a continuation of ERS ATSR data. The 3rd reprocessing of AATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third Envisat AATSR Reprocessing  https://earth.esa.int/eogateway/documents/20142/37627/IDEAS-VEG-OQC-REP-2148-%28A%29ATSR-Third+Reprocessing-Dataset-User-Summary-v1-0.pdf
TRMM/PR L1 Received Power

TRMM/PR L1 Received Power is obtained from the PR sensor onboard TRMM and produced by the Japan Aerospace Exploration Agency (JAXA). The Precipitation Radar (PR) is the primary instrument onboard TRMM. The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.In PR Level 1 processing, Level 0 transmitted from NASA data is checked whether it is in an observation mode, and then three types of products are processed which are 1A21, 1B21, and 1C21. Moreover received power, noise level, Z factor including rain attenuation is calculated.  However, 1A21 is actually processed within a same routine as 1B21, so 1A21 itself is not singly output. In 1B21 processing, the radar video signal digital count value is converted into a received power value as well as a noise level value in accordance with the algorithm (calibration of received power based on temperature calibration as well as transfer function) created based on the radiometric model of the precipitation radar. Longitude and latitude information of ground surface is added to convert this value into radar reflectivity factor (Z factor) including rain attenuation. Also, rain/no rain is determined for each angle bin, a flag is set up, and the rain height is calculated. Moreover, influence of surface clutter, which is mixed from antenna main lobe and side lobe, is evaluated, and the evaluation result is reflected to the calculation of surface range bin number and the determination of rain/no rain.The provided format is HDF4. The Sampling resolution are 5km (horizontal) and 250m (range). The current version of the product is Version 7. The generation unit is orbit.
AMAZONIA-1/WFI Image Mosaic of Brazil - 3 Months

AMAZONIA-1/WFI image mosaic of Brazil with 64m of spatial resolution. The mosaic was prepared in order to demonstrate the technological capabilities of the Brazil Data Cube project tools. The false color composition is based on the WFI bands 3, 4 and 1 assigned to RGB channels. The temporal composition encompasses 03-months of images, starting in May 2024 and ending in July 2024, with a best pixel selection approach called Least Cloud Cover First (LCF). More information on LCF can be found at Brazil Data Cube web site (https://brazil-data-cube.github.io/specifications/processing-flow.html#temporal-compositing). This Image Mosaic used more than 1000 scenes from existing AMAZONIA-1/WFI image collection.
Lake Surface Water Temperature 2016-present (raster 1 km), global, 10-daily - version 1

Lake surface water temperature (LSWT) describes the temperature of the lake surface, one important indicator of lake hydrology and biogeochemistry. Temperature trends observed over many years can be an indicator of how climate change affects the lake.LSWT is recognized internationally as an Essential Climate Variable (ECV) and complements the water quality information, in environmental monitoring of a large number of lakes globally.
LCC - Pantanal - LC8 30m 16D STK

This is a land cover classification map of Brazilian Pantanal, from January to December of 2018. This classification was made on top of Landsat-8 days data cubes with spatial resolution of 30 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. The input datacube was Landsat-8 (OLI) Cube Identity - v001, which was deprecated. The classification model was trained using 6601 sample points (Agriculture: 695, Forest: 1586, Pasture: 2930, Savanna and grassland: 1181, Wetland: 209). The spectral band used were B1, B2, B3, B4, B5, B6, B7 along with the vegetation indices EVI and NDVI; the clouded observation were identified using the Fmask4 algorithm and estimated using linear interpolation. The classification algorithm was Random Forest. The post-processing included masking the label Water (Using Pekel et al 2016) and improving the labels Savanna and grassland and Pasture (using PRODES data). This product was funded by the Brazilian Development Bank (BNDES).