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Add field - cloud_cover: The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algori creation_time: Time when dataset was created (processed) crs_raw: The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) dataset_maturity: One of - final|interim|nrt (near real time) dataset_type_id: ID of a dataset type eo_gsd: Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. eo_sun_azimuth: The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north eo_sun_elevation: The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. fmask_clear: The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm fmask_cloud_shadow: The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm fmask_snow: The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm fmask_water: The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm format: File format (GeoTiff, NetCDF) gqa_abs_iterative_mean_x: Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference i gqa_abs_iterative_mean_xy: Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 met gqa_abs_iterative_mean_y: Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference gqa_abs_x: Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_abs_xy: Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_abs_y: Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_cep90: Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_iterative_mean_x: Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e gqa_iterative_mean_xy: Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_iterative_mean_y: Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i gqa_iterative_stddev_x: Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution refere gqa_iterative_stddev_xy: Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = gqa_iterative_stddev_y: Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution refe gqa_mean_x: Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_mean_xy: Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_mean_y: Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_stddev_x: Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 me gqa_stddev_xy: Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) gqa_stddev_y: Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 indexed_by: User who indexed the dataset indexed_time: When dataset was indexed label: Label lat: Latitude range lon: Longitude range metadata_doc: Full metadata document metadata_type: Metadata type name of dataset metadata_type_id: ID of a metadata type region_code: Spatial reference code from the provider. For Sentinel it is MGRS code. s2cloudless_clear: The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless s2cloudless_cloud: The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless sentinel_datastrip_id: Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) sentinel_product_name: ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') sentinel_tile_id: Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) uri: Dataset URI
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