metadata type of 4 products

*EO3 for ARD Landsat Collection 3*

### 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.
For these ARD products, this value comes from the Fmask algorithm.

creation_time
datetime
Time when dataset was created (processed)

crs_raw
string
The raw CRS string as it appears in metadata

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
in metres; represents the size (or spatial resolution) of one pixel.

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

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

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

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

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

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

format
string
File format (GeoTiff, NetCDF)

gqa
double
GQA Circular error probable (90%)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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

landsat_product_id
string
A Landsat Collection 1 Level-1 product identifier including the
Collection processing levels, processing date, collection number, and
collection tier category
(e.g. â€˜LE07_L1TP_098084_20210307_20210308_02_RTâ€™)

landsat_scene_id
string
A Landsat scene ID including WRS path and row, year and day,
ground station identifier and archive version number
(e.g. â€˜LC80900852021066LGN00â€™)

lat
double-range
Latitude range

lon
double-range
Longitude range

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

region_code
string
Spatial reference code from the provider. For Landsat region_code is a scene path row:
'{:03d}{:03d}.format(path,row)'
For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share.

time
datetime-range
Acquisition time range

uri
string
Dataset URI