eo3_landsat_ard

metadata type of 5 products
EO3 for ARD Landsat Collection 3

Used by Products 🔗

ga_ls5t_ard_3
ga_ls7e_ard_3
ga_ls8c_ard_3
ga_ls9c_ard_3
ga_s2am_ard_provisional_3

Searchable Fields 🔗

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.
dataset_maturity string One of - final|interim|nrt (near real time)
gqa double GQA Circular error probable (90%)
lat double-range Latitude range
lon double-range Longitude range
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

Additional Fields 🔗

creation_time datetime Time when dataset was created (processed)
crs_raw string The raw CRS string as it appears in metadata
dataset_type_id string ID of a dataset type
eo_gsd double Ground sampling distance of the sensor’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_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. ‘LE07_L1TP_098084_20210307_20210308_02_RT’)
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. ‘LC80900852021066LGN00’)
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
uri string Dataset URI

Definition 🔗

View RAW
name: eo3_landsat_ard
description: EO3 for ARD Landsat Collection 3
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:
gqa:
type: double
offset: [
properties
gqa:cep90
]
description: GQA Circular error probable (90%)
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 in metres; represents the size (or spatial resolution) of one pixel.
crs_raw:
offset: [
crs
]
indexed: False
description: The raw CRS string as it appears in metadata
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)
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)
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)
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
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)
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)
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)
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. For these ARD products, this value comes from the Fmask algorithm.
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
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
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)
region_code:
offset: [
properties
odc:region_code
]
description: 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.
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)
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)
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)
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
product_family:
offset: [
properties
odc:product_family
]
indexed: False
description: Product family code
dataset_maturity:
offset: [
properties
dea:dataset_maturity
]
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.
landsat_scene_id:
offset: [
properties
landsat:landsat_scene_id
]
indexed: False
description: A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’)
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
landsat_product_id:
offset: [
properties
landsat:landsat_product_id
]
indexed: False
description: A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’)
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)
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)
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)
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)
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)
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)
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)
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)
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)