AndreaBozzo/ceres-open-data-index huggingface dataset:
GCOM-C/SGLI L3 Map Atmospheric corrected reflectance(RLAP) (1-Day,1/24 deg)

GCOM-C/SGLI L3 Map Atmospheric corrected reflectance (RLAP) (1-Day,1/24 deg) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is daily map-projected statistics product. This dataset includes relative zenith angle of VNR-PL sensor. The data unit is degree. The stored statistics values are average (AVE) and quality flag (QA_flag). The statistical period is 1 day, also 8 days and 1 month statistics are available. The projection method is EQR. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RV02) (1-Month,250m)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance (RV02) (1-Month, 250m) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). Using the Level 2 atmospheric corrected land surface reflectance tile product as input, BRDF correction is performed for the land surface in clear region using data of multiple days, and the reflectance equivalent to that at nadir view direction is stored in the output product. The region definition and spatial resolutions of the output product are kept the input data. In 1-Month processing, the land surface reflectance data of the past 1 month, respectively are fitted to generate appropriate BRDF models with the correction coefficients. GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band.This dataset includes of following SDs (Center Wavelength is correspond to channel name as same as L1B):  Rs_VN02_AVE is Average surface reflectance [unit: none] Rs_VN02_Date is Date identification of surface reflectance [unit: none] Rs_VN02_MAX is Maximum of surface reflectance [unit: none] Rs_VN02_MIN is Minimum of surface reflectance [unit: none] Rs_VN02_Ninput is Input data number of surface reflectance [unit: none] Rs_VN02_Nused is Used data number of surface reflectance [unit: none] Rs_VN02_QA_flag is quality flag about the statistics and BRDF regression [unit: none] Rs_VN02_RMS is root-mean-square (RMS) of BRDF model regression of surface reflectance [unit: none] Rs_VN02_c0-2 are c0, c1, and c2 coefficients of surface reflectance [unit: none] The provided format is HDF5. The spatial resolution is 250 m. The statistical period is 1 month also 8 days statistics is available. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available.
MESSR/MOS-1 L2 Data

MESSR/MOS-1 L2 Data is obtained from the MESSR sensor onboard MOS-1, Japan's first marine observation satellite, and produced by the National Space Development Agency of Japan:NASDA. MOS-1, Japan's first marine observation satellite, is Sun-synchronous sub-recurrent Orbit satellite launched on February 19, 1987 as a link in a global satellite observation system for more effective natural resource utilization and for environmental protection. The MESSR is multi-spectral radiometers and has swath of 100 km.  This dataset includes radiometric and geometric corrected applied raw data.Map projection is UTM, SOM, PS. The provided format is CEOS. The spatial resolution is 50 m.
Sentinel-5P Level-3 SO2CBR Daily Product - V2

Contains binned Level-2 Sulfur Dioxide (SO2) vertical column products using COvariance-Based Retrieval Algorithm (COBRA) retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?
Global 1 Day Synthesis of SPOT VEGETATION Images (VGT-S1)

VGT-S1 products (daily synthesis) are composed of the 'Best available' ground reflectance measurements of all segments received during one day for the entire surface of the Earth. This is done for each of the images covering the same geographical area. The areas distant from the equator have more overlapping parts so the choice for the best pixel will be out of more data. These products provide data from all spectral bands, the NDVI and auxiliary data on image acquisition parameters. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3
Sentinel-5P Level-3 NO2 Daily Product - V1

Contains binned Level-2 TROPOMI NO2 retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?
Sentinel-5P Level-3 NO2 Daily Product - V2

Contains binned Level-2 TROPOMI NO2 retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?
Sentinel-5P Level-3 NO2 Surface Yearly Product - V2

Contains binned Level-2 TROPOMI NO2 Surface retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?
Sentinel-5P Level-3 CH4 Daily Product - V1

Contains binned Level-2 TROPOMI CH4 retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see http://stcorp.github.io/harp/doc/html/libharp_product.html?
PROBA-V L2A 300M HDF: 300 M projected segment data, HDF format - Collection 2

The product original source is the PROBA-V mission and has been produced by VITO see https://doi.org/10.5270/PRV-2vvxhtt.A Level2A product contains the projected Level1C data, i.e. radiometrically and geometrically corrected TOA reflectance values projected on a uniform grid, given per band/camera. The applied coordinate reference system is the âGeographic Lat/Lonâ (EPSG:4326)  projection with a spatial resolution of 333 m.
Sentinel-3 Level 2 Synergy 1 km VEGETATION-Like daily synthesis TOC reflectance and NDVI  - V1

The Sentinel-3, Level 2 Synergy VG1 products (SY_2_VG1) contain 1 km VEGETATION-like TOC reflectances and NDVI. The '1 km VEGETATION-like product' label means that measurements are provided on a regular latitude-longitude grid, with an equatorial sampling distance of approximately 1 km (1Â° / 112). The NDVI is provided, derived from surface reflectances in B2 and B3.
MapEO Water Turbidity (TUR) Products - V1

Optical data collected with airborne drone platform, and processed with MapEO Water software v1 at VITO into turbidity. Turbidity indicates the relative opacity of the water column. It is an optical water property and a measure for the amount of light scattered by constituents in the water column. The higher the scattered light intensity, the higher the turbidity. Constituents that causes water to be turbid include clay, silt, very tiny inorganic and organic matter, algae, dissolved coloured organic compounds, plankton, and other microscopic organisms. Turbidity is expressed in Formazin Nephelometric Units (FNU, according to the ISO 7027 standard).
PROBA-V L2A 300M COG: 300 M projected segment data, COG format - Collection 2

The product original source is the PROBA-V mission and has been produced by VITO see https://doi.org/10.5270/PRV-2vvxhtt.A Level2A product contains the projected Level1C data, i.e. radiometrically and geometrically corrected TOA reflectance values projected on a uniform grid, given per band/camera. The applied coordinate reference system is the âGeographic Lat/Lonâ (EPSG:4326)  projection with a spatial resolution of 333 m.
PROBA-V L2A 100M HDF: 100M projected segment data, HDF format - Collection 2

The product original source is the PROBA-V mission and has been produced by VITO, see https://doi.org/10.5270/PRV-2vvxhtt.A Level2A product contains the projected Level1C data, i.e. radiometrically and geometrically corrected TOA reflectance values projected on a uniform grid, given per band/camera. The applied coordinate reference system is the âGeographic Lat/Lonâ (EPSG:4326)  projection with a spatial resolution of 100 m.
PROBA-V L2A 100M ANTARCTICA HDF: 100M projected segment data covering Antarctica, HDF format - Collection 1

The product original source is the PROBA-V mission and has been produced by VITO, see https://doi.org/10.5270/PRV-2vvxhtt.A Level2A product contains the projected Level1C data, i.e. radiometrically and geometrically corrected TOA reflectance values projected on a uniform grid, given per band/camera. The applied coordinate reference system is the âGeographic Lat/Lonâ (EPSG:4326)  projection with a spatial resolution of 100 m.
ESA WorldCover Sentinel-2 yearly SWIR median composite 2021, 10 meter COG format

The ESA WorldCover Sentinel-2 yearly SWIR median composite is a color image made from images in blue (SWIR B11), green (SWIR B12), red (SWIR B11). It is generated by taking the SWIR timeseries median for 2021, after removing clouds and cloud shadows. Worldwide coverage at 10 meters is provided per 1 x 1 degree tile. Note that ocean areas and inner ice sheets do not have tiles. Data is provided as Cloud Optimized GeoTIFFs. The ESA WorldCover Sentinel-2 yearly SWIR percentiles has been produced by a consortium lead by VITO (Belgium) together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria) and Wageningen University (The Netherlands). Naming convention: ESA_WorldCover_SWIR_10m_[YEAR]_[VERSION]_[TILE]_[LAYER].tif/ 				* [YEAR] indicates the reference year (observation period) in four digits.				* [VERSION] shows the product version. The version denoted as vMmr (e.g. v201), with âMâ representing the major version (e.g. v2), âmâ the minor version (starting from 0) and ârâ the production run number (starting from 1) 				* [TILE] the designation of the 1 x 1 degree tile, composed of the 2-digit latitude and 3-digit longitude of the lower-left corner. Example:  N19W100  for the tile covering the area from 100W to 99W and 19N to 20N.				For example: ESA_WorldCover_SWIR_10m_2021_v200_N19W100_Map.tif/
ESA WorldCover Sentinel-1 color composite for 2021

The ESA WorldCover Sentinel-1 color image is a color image made from images in VV, VH and VV/VH. It is generated by taking the median composite for 2021. Worldwide coverage at 10 meters is provided per 1 x 1 degree tile. Note that ocean areas and inner ice sheets do not have tiles. Data is provided as Cloud Optimized GeoTIFFs. The ESA WorldCover Sentinel-1 color image has been produced by a consortium lead by VITO (Belgium) together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria) and Wageningen University (The Netherlands).
ESA WorldCover Sentinel-1 color composite for 2020

The ESA WorldCover Sentinel-1 color image is a color image made from images in VV, VH and VV/VH. It is generated by taking the median composite for 2020. Worldwide coverage at 10 meters is provided per 1 x 1 degree tile. Note that ocean areas and inner ice sheets do not have tiles. Data is provided as Cloud Optimized GeoTIFFs. The ESA WorldCover Sentinel-1 color image has been produced by a consortium lead by VITO (Belgium) together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria) and Wageningen University (The Netherlands).
Copernicus Global 90 meter Digital Elevation Model dataset in COG format

The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. GLO-90 provides worldwide coverage at 90 meters (refers to 30 rad seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters. The Copernicus DEM GLO-30 is mirrored from Open Data on AWS, dataset managed by Sinergise. https://registry.opendata.aws/copernicus-dem/.				Naming convention: Copernicus_DSM_COG_[resolution]_[northing]_[easting]_DEM/				*[resolution] = resolution in arc seconds (not meters!), which is 10 for GLO-30, and 30 for GLO-90.				* [northing] = e.g. S50_00 - decimal degrees where the decimal part is always 00. In original files, this is the northing of the center of the bottom-most pixels, while in our files, because we removed the bottom-most pixels, the center of the new bottom-most pixels is one pixel-length (resolution) away to the north.				* [easting] = e.g. w125_00 - decimal degrees where the decimal part is always 00. The easting of of the center of the left-most pixels.				For example: //copernicus-dem-90m/Copernicus_DSM_COG_30_S90_00_W178_00_DEM/
ESA WorldCover 10 meter Land Cover Map 2020 on AWS

The ESA WorldCover product is a global land cover map with 11 land cover classes. WorldCover provides worldwide coverage at 10 meters and is provided per 3 x 3 degree tile. Note that ocean areas and inner ice sheets do not have tiles. Data is provided as Cloud Optimized GeoTIFFs. The ESA WorldCover product has been produced by a consortium lead by VITO (Belgium) together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria) and Wageningen University (The Netherlands).				Naming convention: ESA_WorldCover_10m_[YEAR]_[VERSION]_[TILE]_[LAYER].tif/ 				* [YEAR] indicates the reference year (observation period) in four digits.				* [VERSION] shows the product version. The version denoted as vMmr (e.g. v201), with âMâ representing the major version (e.g. v2), âmâ the minor version (starting from 0) and ârâ the production run number (starting from 1) 				* [TILE] the designation of the 3 x 3 degree tile, composed of the 2-digit latitude and 3-digit longitude of the lower-left corner. Example:  N19W100  for the tile covering the area from 100W to 99W and 19N to 20N.				For example: ESA_WorldCover_10m_2020_v100_N19W100_Map.tif/
SENTINEL-2 Level1C products

The Level-1C product is composed of 100x100 km2 tiles (ortho-images in UTM/WGS84 projection). The Level-1C product results from using a Digital Elevation Model (DEM) to project the image in cartographic geometry. Per-pixel radiometric measurements are provided in Top Of Atmosphere (TOA) reflectances along with the parameters to transform them into radiances. Level-1C products are resampled with a constant Ground Sampling Distance (GSD) of 10, 20 and 60 m depending on the native resolution of the different spectral bands. In Level-1C products, pixel coordinates refer to the upper left corner of the pixel.Level-1C products will additionally include Cloud Masks and ECMWF data (total column of ozone, total column of water vapour and mean sea level pressure).
Sentinel-1 Level-1 Ground Range Detected (GRD) products.

Level-1 Ground Range Detected (GRD) products consist of focused SAR data that has been detected, multi-looked and projected to ground range using an Earth ellipsoid model such as WGS84. The ellipsoid projection of the GRD products is corrected using the terrain height specified in the product general annotation. The terrain height used varies in azimuth but is constant in range. Ground range coordinates are the slant range coordinates projected onto the ellipsoid of the Earth. Pixel values represent detected amplitude. Phase information is lost. The resulting product has approximately square resolution pixels and square pixel spacing with reduced speckle at a cost of reduced spatial resolution. The Interferometric Wide (IW) swath mode is the main acquisition mode over land and satisfies the majority of service requirements. For the IW GRD products, multi-looking is performed on each burst individually. All bursts in all sub-swaths are then seamlessly merged to form a single, contiguous, ground range, detected image per polarisation.
Sentinel-1 Level-1 Single Look Complex (SLC) products.

Level-1 Single Look Complex (SLC) products consist of focused SAR data, geo-referenced using orbit and attitude data from the satellite, and provided in slant-range geometry. Slant range is the natural radar range observation coordinate, defined as the line-of-sight from the radar to each reflecting object. The products are in zero-Doppler orientation where each row of pixels represents points along a line perpendicular to the sub-satellite track. The products include a single look in each dimension using the full available signal bandwidth and complex samples (real and imaginary) preserving the phase information. The Interferometric Wide (IW) swath mode is the main acquisition mode over land and satisfies the majority of service requirements. It acquires data with a 250 km swath at 5 m by 20 m spatial resolution (single look). IW mode captures three sub-swaths using Terrain Observation with Progressive Scans SAR (TOPSAR). IW SLC products contain one image per sub-swath and one per polarisation channel, for a total of three (single polarisation) or six (dual polarisation) images in an IW product. Each sub-swath image consists of a series of bursts, where each burst has been processed as a separate SLC image. The individually focused complex burst images are included, in azimuth-time order, into a single sub-swath image with black-fill demarcation in between. There is sufficient overlap between adjacent bursts and between sub-swaths to ensure continuous coverage of the ground as provided in GRD products. The images for all bursts in all sub-swaths are resampled to a common pixel spacing grid in range and azimuth while preserving the phase information.
Proba HRC

The HRC Level 1A product is an image images with a pixel resolution of 8m. The data are grey scale images, an image contains 1026 x 1026 pixels and covers an area of 25 km2. HRC data is supplied in BMP format. All Proba-1 passes are systematically acquired according to the current acquisition plan, HRC data are processed every day to Level 1A and made available to ESA users.
TropForest- ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests (ARD)

The objective of the ESA TropForest project was to create a harmonised geo-database of ready-to-use satellite imagery to support 2010 global forest assessment performed by the Joint Research Centre (JRC) of the European Commission and by the Food and Agriculture Organization (FAO). Assessments for year 2010 were essential for building realistic deforestation benchmark rates at global to regional levels. To reach this objective, the project aimed to create a harmonised ortho-rectified/pre-processed imagery geo-database based on satellite data acquisitions (ALOS AVNIR-2, GEOSAT-1 SLIM6, KOMPSAT-2 MSC) performed during year 2009 and 2010, for the Tropical Latin America (excluding Mexico) and for the Tropical South and Southeast Asia (excluding China), resulting in 1971 sites located at 1 deg x 1 deg geographical lat/long intersections. The project finally delivered 1866 sites (94.7% of target) due to cloud coverages too high for missing sites
Envisat GOMOS Level 1b - Limb spectra [GOM_LIM_1P]

This data product describes localised calibrated upper and lower background limb spectra (flat-field corrected, with and without stray light). Coverage is as follows: - Elevation range: C25+62 deg to +68 deg  - Azimuth range: +90 deg to +190 deg (with respect to the flight direction). The file size is Mbytes/occultation, depending on the duration of the occultation.
EarthCARE Auxiliary Data for Cal/Val Users

EarthCARE data products encompass essential supporting auxiliary (AUX) and orbit data critical for accurate sensor data processing and analysis. 

AUX data includes datasets used outside the primary Space Segment stream to apply corrections to sensor data. This comprises previously derived calibration parameters, ground control data, and digital elevation data. Calibration parameters ensure measurement accuracy, while ground control data aids in data validation, and digital elevation data enables precise geolocation. 

Orbit data consists of on-board satellite data and orbital information. For EarthCARE, this includes Reconstructed Orbit and Attitude Files, which provide detailed satellite positioning and orientation information. 

The integration of AUX and orbit data into EarthCARE&apos;s data processing workflow ensures the production of high-quality, scientifically valuable datasets for atmospheric research, climate modeling, and environmental monitoring.
ERS-2 GOME Spectral Product L1

GOME Level 1 products contain Earthshine radiance at the Top of the Atmosphere and solar irradiance spectra. They were generated by DLR on behalf of the European Space Agency with Level 1 GOME Data Processor (GDP-L1) starting from the Extracted GOME Calibration (EGOC) Level 0 data files.  Originally raw detector signals (binary Analog to Digital Converted units) of the science measurements plus calibration constants were provided (dataset version 4 and lower), but following the end of the operational phase of the ERS-2 mission (2 July 2011), as part of ESA&apos;s post-operational algorithm improvement activities (Coldewey-Egbers et al., 2018), the GOME Level 1 data type was entirely revised and a dataset of fully calibrated and ready to use data was generated with GOME processor version 5.1. The version 5.1 data bring relevant quality improvements for the revised calibration approach, compensating aging and instrument degradation, and provide enhanced accessibility.  The version 5.1 data are in NetCDF format and differ fundamentally from the previous GOME Level 1 data, having the Envisat proprietary format and basically containing Level 1a data where a dedicated extraction software tool had to be applied by end user to obtain spectrally and radiometrically calibrated radiances (including the correction for polarisation, leakage current and stray light). Such calibrations are now applied to the version 5.1 L1b data product in the standard processing.  Users of GOME Level 1 products are strongly recommended to migrate to the latest reprocessed dataset. Please consult the GOME Product Quality Readme file before using the data. (https://earth.esa.int/eogateway/documents/20142/37627/GOME-TCWV-Product-sQuality-Readme-File.pdf)