eo3_sentinel_ard

metadata type of 2 products
EO3 for Sentinel 2 ARD

Used by Products 🔗

ga_s2am_ard_3
ga_s2bm_ard_3

Searchable Fields 🔗

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 🔗

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. ‘epsg:32654’)\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 sensor’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. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\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. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n
uri string Dataset URI

Definition 🔗

View RAW
name: eo3_sentinel_ard
description: EO3 for Sentinel 2 ARD
dataset:
id: [
id
]
label: [
label
]
format: [
properties
odc:file_format
]
sources: [
lineage
source_datasets
]
creation_dt: [
properties
odc:processing_datetime
]
grid_spatial: [
grid_spatial
projection
]
measurements: [
measurements
]
search_fields:
lat:
type: double-range
max_offset: [
[
extent
lat
end
]
]
min_offset: [
[
extent
lat
begin
]
]
description: Latitude range
lon:
type: double-range
max_offset: [
[
extent
lon
end
]
]
min_offset: [
[
extent
lon
begin
]
]
description: Longitude range
time:
type: datetime-range
max_offset: [
[
properties
dtr:end_datetime
]
[
properties
datetime
]
]
min_offset: [
[
properties
dtr:start_datetime
]
[
properties
datetime
]
]
description: Acquisition time range
eo_gsd:
type: double
offset: [
properties
eo:gsd
]
indexed: False
description: Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n
crs_raw:
offset: [
crs
]
indexed: False
description: The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n
platform:
offset: [
properties
eo:platform
]
indexed: False
description: Platform code
gqa_abs_x:
type: double
offset: [
properties
gqa:abs_x
]
indexed: False
description: 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_y:
type: double
offset: [
properties
gqa:abs_y
]
indexed: False
description: 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:
type: double
offset: [
properties
gqa:cep90
]
indexed: False
description: 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
fmask_snow:
type: double
offset: [
properties
fmask:snow
]
indexed: False
description: The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n
gqa_abs_xy:
type: double
offset: [
properties
gqa:abs_xy
]
indexed: False
description: 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_mean_x:
type: double
offset: [
properties
gqa:mean_x
]
indexed: False
description: 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_y:
type: double
offset: [
properties
gqa:mean_y
]
indexed: False
description: 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
instrument:
offset: [
properties
eo:instrument
]
indexed: False
description: Instrument name
cloud_cover:
type: double
offset: [
properties
eo:cloud_cover
]
description: 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
fmask_clear:
type: double
offset: [
properties
fmask:clear
]
indexed: False
description: 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_water:
type: double
offset: [
properties
fmask:water
]
indexed: False
description: The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n
gqa_mean_xy:
type: double
offset: [
properties
gqa:mean_xy
]
indexed: False
description: 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
region_code:
offset: [
properties
odc:region_code
]
description: Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n
gqa_stddev_x:
type: double
offset: [
properties
gqa:stddev_x
]
indexed: False
description: 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_y:
type: double
offset: [
properties
gqa:stddev_y
]
indexed: False
description: 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
gqa_stddev_xy:
type: double
offset: [
properties
gqa:stddev_xy
]
indexed: False
description: 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
eo_sun_azimuth:
type: double
offset: [
properties
eo:sun_azimuth
]
indexed: False
description: The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n
product_family:
offset: [
properties
odc:product_family
]
indexed: False
description: Product family code
dataset_maturity:
offset: [
properties
dea:dataset_maturity
]
indexed: False
description: One of - final|interim|nrt (near real time)
eo_sun_elevation:
type: double
offset: [
properties
eo:sun_elevation
]
indexed: False
description: The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n
sentinel_tile_id:
offset: [
properties
sentinel:sentinel_tile_id
]
indexed: False
description: Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n
s2cloudless_clear:
type: double
offset: [
properties
s2cloudless:clear
]
description: The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n
s2cloudless_cloud:
type: double
offset: [
properties
s2cloudless:cloud
]
description: The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n
fmask_cloud_shadow:
type: double
offset: [
properties
fmask:cloud_shadow
]
indexed: False
description: The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n
gqa_iterative_mean_x:
type: double
offset: [
properties
gqa:iterative_mean_x
]
indexed: False
description: 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_y:
type: double
offset: [
properties
gqa:iterative_mean_y
]
indexed: False
description: 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_mean_xy:
type: double
offset: [
properties
gqa:iterative_mean_xy
]
indexed: False
description: 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
sentinel_datastrip_id:
offset: [
properties
sentinel:datastrip_id
]
indexed: False
description: Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n
sentinel_product_name:
offset: [
properties
sentinel:product_name
]
indexed: False
description: ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n
gqa_iterative_stddev_x:
type: double
offset: [
properties
gqa:iterative_stddev_x
]
indexed: False
description: 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_y:
type: double
offset: [
properties
gqa:iterative_stddev_y
]
indexed: False
description: 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_iterative_stddev_xy:
type: double
offset: [
properties
gqa:iterative_stddev_xy
]
indexed: False
description: 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_abs_iterative_mean_x:
type: double
offset: [
properties
gqa:abs_iterative_mean_x
]
indexed: False
description: 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_y:
type: double
offset: [
properties
gqa:abs_iterative_mean_y
]
indexed: False
description: 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_iterative_mean_xy:
type: double
offset: [
properties
gqa:abs_iterative_mean_xy
]
indexed: False
description: 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