metadata type of 2 products

*EO3 for Sentinel 2 ARD*

### Used by Products ðŸ”—

### Searchable Fields ðŸ”—

cloud_cover
double
The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n

lat
double-range
Latitude range

lon
double-range
Longitude range

region_code
string
Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n

s2cloudless_clear
double
The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n

s2cloudless_cloud
double
The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n

time
datetime-range
Acquisition time range

### Additional Fields ðŸ”—

creation_time
datetime
Time when dataset was created (processed)

crs_raw
string
The raw CRS string as it appears in metadata\n\n(e.g. â€˜epsg:32654â€™)\n

dataset_maturity
string
One of - final|interim|nrt (near real time)

dataset_type_id
string
ID of a dataset type

eo_gsd
double
Ground sampling distance of the sensorâ€™s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n

eo_sun_azimuth
double
The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n

eo_sun_elevation
double
The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n

fmask_clear
double
The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n

fmask_cloud_shadow
double
The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n

fmask_snow
double
The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n

fmask_water
double
The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n

format
string
File format (GeoTiff, NetCDF)

gqa_abs_iterative_mean_x
double
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 image (i.e. 0.2 = 5 metres)\n

gqa_abs_iterative_mean_xy
double
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 metres)\n

gqa_abs_iterative_mean_y
double
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 image (i.e. 0.2 = 5 metres)\n

gqa_abs_x
double
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)\n

gqa_abs_xy
double
Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n

gqa_abs_y
double
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)\n

gqa_cep90
double
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)\n

gqa_iterative_mean_x
double
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. 0.2 = 5 metres)\n

gqa_iterative_mean_xy
double
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)\n

gqa_iterative_mean_y
double
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.e. 0.2 = 5 metres)\n

gqa_iterative_stddev_x
double
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 reference image (i.e. 0.2 = 5 metres)\n

gqa_iterative_stddev_xy
double
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 = 5 metres)\n

gqa_iterative_stddev_y
double
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 reference image (i.e. 0.2 = 5 metres)\n

gqa_mean_x
double
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)\n

gqa_mean_xy
double
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)\n

gqa_mean_y
double
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)\n

gqa_stddev_x
double
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 metres)\n

gqa_stddev_xy
double
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)\n

gqa_stddev_y
double
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 metres)\n

id
string
Dataset UUID

indexed_by
string
User who indexed the dataset

indexed_time
string
When dataset was indexed

instrument
string
Instrument name

label
string
Label

metadata_doc
string
Full metadata document

metadata_type
string
Metadata type name of dataset

metadata_type_id
string
ID of a metadata type

platform
string
Platform code

product
string
Product name

product_family
string
Product family code

sentinel_datastrip_id
string
Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. â€˜S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04â€™)\n

sentinel_product_name
string
ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n

sentinel_tile_id
string
Granule ID according to the ESA naming convention\n\n(e.g. â€˜S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04â€™)\n

uri
string
Dataset URI