Search ga_ls8c_ard_3 across 2021

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. from:

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. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

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

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

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

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

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

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

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

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

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

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

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

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

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

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

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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

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

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

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) from:

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) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

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’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

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. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-01-18 11:50:33	ga_ls8c_ard_3-2-0_115073_2021-01-18_final
2021-01-18 11:50:57	ga_ls8c_ard_3-2-0_115074_2021-01-18_final
2021-01-18 11:51:21	ga_ls8c_ard_3-2-0_115075_2021-01-18_final
2021-01-18 11:51:45	ga_ls8c_ard_3-2-0_115076_2021-01-18_final
2021-01-18 11:52:09	ga_ls8c_ard_3-2-0_115077_2021-01-18_final
2021-01-18 11:52:33	ga_ls8c_ard_3-2-0_115078_2021-01-18_final
2021-01-18 11:52:57	ga_ls8c_ard_3-2-0_115079_2021-01-18_final
2021-01-18 11:53:21	ga_ls8c_ard_3-2-0_115080_2021-01-18_final
2021-01-19 09:16:26	ga_ls8c_ard_3-2-0_090074_2021-01-18_final
2021-01-19 09:16:50	ga_ls8c_ard_3-2-0_090075_2021-01-18_final
2021-01-19 09:17:14	ga_ls8c_ard_3-2-0_090076_2021-01-18_final
2021-01-19 09:17:38	ga_ls8c_ard_3-2-0_090077_2021-01-18_final
2021-01-19 09:18:02	ga_ls8c_ard_3-2-0_090078_2021-01-18_final
2021-01-19 09:18:26	ga_ls8c_ard_3-2-0_090079_2021-01-18_final
2021-01-19 09:18:50	ga_ls8c_ard_3-2-0_090080_2021-01-18_final
2021-01-19 09:19:14	ga_ls8c_ard_3-2-0_090081_2021-01-18_final
2021-01-19 09:19:38	ga_ls8c_ard_3-2-0_090082_2021-01-18_final
2021-01-19 09:20:02	ga_ls8c_ard_3-2-0_090083_2021-01-18_final
2021-01-19 09:20:26	ga_ls8c_ard_3-2-0_090084_2021-01-18_final
2021-01-19 09:20:50	ga_ls8c_ard_3-2-0_090085_2021-01-18_final
2021-01-19 09:21:14	ga_ls8c_ard_3-2-0_090086_2021-01-18_final
2021-01-19 09:21:38	ga_ls8c_ard_3-2-0_090087_2021-01-18_final
2021-01-19 09:22:02	ga_ls8c_ard_3-2-0_090088_2021-01-18_final
2021-01-19 09:22:26	ga_ls8c_ard_3-2-0_090089_2021-01-18_final
2021-01-19 09:22:50	ga_ls8c_ard_3-2-0_090090_2021-01-18_final
2021-01-19 09:23:14	ga_ls8c_ard_3-2-0_090091_2021-01-18_final
2021-01-19 10:52:32	ga_ls8c_ard_3-2-0_106067_2021-01-19_final
2021-01-19 10:52:56	ga_ls8c_ard_3-2-0_106068_2021-01-19_final
2021-01-19 10:53:20	ga_ls8c_ard_3-2-0_106069_2021-01-19_final
2021-01-19 10:53:44	ga_ls8c_ard_3-2-0_106070_2021-01-19_final
2021-01-19 10:54:08	ga_ls8c_ard_3-2-0_106071_2021-01-19_final
2021-01-19 10:54:32	ga_ls8c_ard_3-2-0_106072_2021-01-19_final
2021-01-19 10:54:56	ga_ls8c_ard_3-2-0_106073_2021-01-19_final
2021-01-19 10:55:19	ga_ls8c_ard_3-2-0_106074_2021-01-19_final
2021-01-19 10:55:43	ga_ls8c_ard_3-2-0_106075_2021-01-19_final
2021-01-19 10:56:07	ga_ls8c_ard_3-2-0_106076_2021-01-19_final
2021-01-19 10:56:31	ga_ls8c_ard_3-2-0_106077_2021-01-19_final
2021-01-19 10:56:55	ga_ls8c_ard_3-2-0_106078_2021-01-19_final
2021-01-19 10:57:19	ga_ls8c_ard_3-2-0_106079_2021-01-19_final
2021-01-19 10:57:43	ga_ls8c_ard_3-2-0_106080_2021-01-19_final
2021-01-19 10:58:07	ga_ls8c_ard_3-2-0_106081_2021-01-19_final
2021-01-19 10:58:31	ga_ls8c_ard_3-2-0_106082_2021-01-19_final
2021-01-19 10:58:55	ga_ls8c_ard_3-2-0_106083_2021-01-19_final
2021-01-19 10:59:19	ga_ls8c_ard_3-2-0_106084_2021-01-19_final
2021-01-19 12:31:25	ga_ls8c_ard_3-2-1_122067_2021-01-19_final
2021-01-20 09:56:55	ga_ls8c_ard_3-2-0_097067_2021-01-20_final
2021-01-20 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-01-20_final
2021-01-20 09:57:43	ga_ls8c_ard_3-2-0_097069_2021-01-20_final
2021-01-20 09:58:06	ga_ls8c_ard_3-2-0_097070_2021-01-20_final
2021-01-20 09:58:30	ga_ls8c_ard_3-2-0_097071_2021-01-20_final
2021-01-20 09:58:54	ga_ls8c_ard_3-2-0_097072_2021-01-20_final
2021-01-20 09:59:18	ga_ls8c_ard_3-2-0_097073_2021-01-20_final
2021-01-20 09:59:42	ga_ls8c_ard_3-2-0_097074_2021-01-20_final
2021-01-20 10:00:06	ga_ls8c_ard_3-2-0_097075_2021-01-20_final
2021-01-20 10:00:30	ga_ls8c_ard_3-2-0_097076_2021-01-20_final
2021-01-20 10:00:54	ga_ls8c_ard_3-2-0_097077_2021-01-20_final
2021-01-20 10:01:18	ga_ls8c_ard_3-2-0_097078_2021-01-20_final
2021-01-20 10:01:42	ga_ls8c_ard_3-2-0_097079_2021-01-20_final
2021-01-20 10:02:06	ga_ls8c_ard_3-2-0_097080_2021-01-20_final
2021-01-20 10:02:30	ga_ls8c_ard_3-2-0_097081_2021-01-20_final
2021-01-20 10:02:54	ga_ls8c_ard_3-2-0_097082_2021-01-20_final
2021-01-20 10:03:18	ga_ls8c_ard_3-2-0_097083_2021-01-20_final
2021-01-20 10:03:42	ga_ls8c_ard_3-2-0_097084_2021-01-20_final
2021-01-20 10:04:06	ga_ls8c_ard_3-2-0_097085_2021-01-20_final
2021-01-20 10:04:30	ga_ls8c_ard_3-2-0_097086_2021-01-20_final
2021-01-20 11:35:48	ga_ls8c_ard_3-2-0_113067_2021-01-20_final
2021-01-20 11:37:47	ga_ls8c_ard_3-2-0_113072_2021-01-20_final
2021-01-20 11:38:11	ga_ls8c_ard_3-2-0_113073_2021-01-20_final
2021-01-20 11:38:35	ga_ls8c_ard_3-2-0_113074_2021-01-20_final
2021-01-20 11:38:59	ga_ls8c_ard_3-2-0_113075_2021-01-20_final
2021-01-20 11:39:23	ga_ls8c_ard_3-2-0_113076_2021-01-20_final
2021-04-30 11:10:29	ga_ls8c_ard_3-2-0_109067_2021-04-30_final
2021-04-30 11:10:53	ga_ls8c_ard_3-2-0_109068_2021-04-30_final
2021-04-30 11:11:17	ga_ls8c_ard_3-2-0_109069_2021-04-30_final
2021-04-30 11:11:41	ga_ls8c_ard_3-2-0_109070_2021-04-30_final
2021-04-30 11:12:05	ga_ls8c_ard_3-2-0_109071_2021-04-30_final
2021-04-30 11:12:29	ga_ls8c_ard_3-2-0_109072_2021-04-30_final
2021-04-30 11:12:53	ga_ls8c_ard_3-2-0_109073_2021-04-30_final
2021-04-30 11:13:17	ga_ls8c_ard_3-2-0_109074_2021-04-30_final
2021-04-30 11:13:41	ga_ls8c_ard_3-2-0_109075_2021-04-30_final
2021-04-30 11:14:05	ga_ls8c_ard_3-2-0_109076_2021-04-30_final
2021-04-30 11:14:29	ga_ls8c_ard_3-2-0_109077_2021-04-30_final
2021-04-30 11:14:52	ga_ls8c_ard_3-2-0_109078_2021-04-30_final
2021-04-30 11:15:16	ga_ls8c_ard_3-2-0_109079_2021-04-30_final
2021-04-30 11:15:40	ga_ls8c_ard_3-2-0_109080_2021-04-30_final
2021-04-30 11:16:04	ga_ls8c_ard_3-2-0_109081_2021-04-30_final
2021-04-30 11:16:28	ga_ls8c_ard_3-2-0_109082_2021-04-30_final
2021-04-30 11:16:52	ga_ls8c_ard_3-2-0_109083_2021-04-30_final
2021-04-30 11:17:16	ga_ls8c_ard_3-2-0_109084_2021-04-30_final
2021-04-30 11:17:40	ga_ls8c_ard_3-2-0_109085_2021-04-30_final
2021-05-01 10:18:27	ga_ls8c_ard_3-2-0_100076_2021-05-01_final
2021-05-01 10:18:51	ga_ls8c_ard_3-2-0_100077_2021-05-01_final
2021-05-01 10:19:38	ga_ls8c_ard_3-2-0_100079_2021-05-01_final
2021-05-01 10:20:02	ga_ls8c_ard_3-2-0_100080_2021-05-01_final
2021-05-01 10:20:26	ga_ls8c_ard_3-2-0_100081_2021-05-01_final
2021-05-01 10:21:14	ga_ls8c_ard_3-2-0_100083_2021-05-01_final
2021-05-01 10:21:38	ga_ls8c_ard_3-2-0_100084_2021-05-01_final
2021-05-01 10:22:02	ga_ls8c_ard_3-2-0_100085_2021-05-01_final
2021-05-01 11:56:32	ga_ls8c_ard_3-2-0_116074_2021-05-01_final
2021-05-01 11:56:56	ga_ls8c_ard_3-2-0_116075_2021-05-01_final

Return to ga_ls8c_ard_3 across 2021 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2021

All months