Search ga_ls8c_ard_3 across May 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:

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First 100 results (query limit)

Time (local)	Label
2021-05-01 08:41:57	ga_ls8c_ard_3-2-1_084082_2021-04-30_final
2021-05-01 10:14:51	ga_ls8c_ard_3-2-0_100067_2021-05-01_final
2021-05-01 10:15:15	ga_ls8c_ard_3-2-0_100068_2021-05-01_final
2021-05-01 10:15:39	ga_ls8c_ard_3-2-0_100069_2021-05-01_final
2021-05-01 10:16:03	ga_ls8c_ard_3-2-0_100070_2021-05-01_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-05-01 10:16:51	ga_ls8c_ard_3-2-0_100072_2021-05-01_final
2021-05-01 10:17:15	ga_ls8c_ard_3-2-0_100073_2021-05-01_final
2021-05-01 10:17:39	ga_ls8c_ard_3-2-0_100074_2021-05-01_final
2021-05-01 10:18:03	ga_ls8c_ard_3-2-0_100075_2021-05-01_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 10:19:15	ga_ls8c_ard_3-2-0_100078_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 10:20:50	ga_ls8c_ard_3-2-0_100082_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
2021-05-01 11:57:20	ga_ls8c_ard_3-2-0_116076_2021-05-01_final
2021-05-01 11:57:44	ga_ls8c_ard_3-2-0_116077_2021-05-01_final
2021-05-01 11:58:08	ga_ls8c_ard_3-2-0_116078_2021-05-01_final
2021-05-02 09:19:37	ga_ls8c_ard_3-2-0_091068_2021-05-01_final
2021-05-02 09:21:13	ga_ls8c_ard_3-2-0_091072_2021-05-01_final
2021-05-02 09:21:37	ga_ls8c_ard_3-2-0_091073_2021-05-01_final
2021-05-02 09:22:01	ga_ls8c_ard_3-2-0_091074_2021-05-01_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-02 09:22:49	ga_ls8c_ard_3-2-0_091076_2021-05-01_final
2021-05-02 09:23:13	ga_ls8c_ard_3-2-0_091077_2021-05-01_final
2021-05-02 09:23:37	ga_ls8c_ard_3-2-0_091078_2021-05-01_final
2021-05-02 09:24:00	ga_ls8c_ard_3-2-0_091079_2021-05-01_final
2021-05-02 09:24:24	ga_ls8c_ard_3-2-0_091080_2021-05-01_final
2021-05-02 09:24:48	ga_ls8c_ard_3-2-0_091081_2021-05-01_final
2021-05-02 09:25:12	ga_ls8c_ard_3-2-0_091082_2021-05-01_final
2021-05-02 09:25:36	ga_ls8c_ard_3-2-0_091083_2021-05-01_final
2021-05-02 09:26:00	ga_ls8c_ard_3-2-0_091084_2021-05-01_final
2021-05-02 09:26:24	ga_ls8c_ard_3-2-0_091085_2021-05-01_final
2021-05-02 09:26:48	ga_ls8c_ard_3-2-0_091086_2021-05-01_final
2021-05-02 09:27:12	ga_ls8c_ard_3-2-0_091087_2021-05-01_final
2021-05-02 09:27:36	ga_ls8c_ard_3-2-0_091088_2021-05-01_final
2021-05-02 09:28:00	ga_ls8c_ard_3-2-0_091089_2021-05-01_final
2021-05-02 09:28:24	ga_ls8c_ard_3-2-0_091090_2021-05-01_final
2021-05-02 09:28:48	ga_ls8c_ard_3-2-0_091091_2021-05-01_final
2021-05-04 09:14:25	ga_ls8c_ard_3-2-0_089086_2021-05-03_final
2021-05-04 09:15:37	ga_ls8c_ard_3-2-0_089089_2021-05-03_final
2021-05-04 09:16:01	ga_ls8c_ard_3-2-0_089090_2021-05-03_final
2021-05-04 10:45:43	ga_ls8c_ard_3-2-0_105067_2021-05-04_final
2021-05-04 10:46:07	ga_ls8c_ard_3-2-0_105068_2021-05-04_final
2021-05-04 10:46:31	ga_ls8c_ard_3-2-0_105069_2021-05-04_final
2021-05-04 10:46:55	ga_ls8c_ard_3-2-0_105070_2021-05-04_final
2021-05-04 10:47:19	ga_ls8c_ard_3-2-0_105071_2021-05-04_final
2021-05-04 10:47:43	ga_ls8c_ard_3-2-0_105072_2021-05-04_final
2021-05-04 10:48:07	ga_ls8c_ard_3-2-0_105073_2021-05-04_final
2021-05-04 10:48:31	ga_ls8c_ard_3-2-0_105074_2021-05-04_final
2021-05-04 10:48:55	ga_ls8c_ard_3-2-0_105075_2021-05-04_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-05-04 10:49:43	ga_ls8c_ard_3-2-0_105077_2021-05-04_final
2021-05-04 10:50:07	ga_ls8c_ard_3-2-0_105078_2021-05-04_final
2021-05-04 10:50:30	ga_ls8c_ard_3-2-0_105079_2021-05-04_final
2021-05-04 10:50:54	ga_ls8c_ard_3-2-0_105080_2021-05-04_final
2021-05-04 10:51:42	ga_ls8c_ard_3-2-0_105082_2021-05-04_final
2021-05-04 10:52:06	ga_ls8c_ard_3-2-0_105083_2021-05-04_final
2021-05-05 09:50:05	ga_ls8c_ard_3-2-0_096067_2021-05-05_final
2021-05-05 09:50:53	ga_ls8c_ard_3-2-0_096069_2021-05-05_final
2021-05-05 09:51:17	ga_ls8c_ard_3-2-0_096070_2021-05-05_final
2021-05-05 09:51:41	ga_ls8c_ard_3-2-0_096071_2021-05-05_final
2021-05-05 09:52:05	ga_ls8c_ard_3-2-0_096072_2021-05-05_final
2021-05-05 09:52:29	ga_ls8c_ard_3-2-0_096073_2021-05-05_final
2021-05-05 09:52:53	ga_ls8c_ard_3-2-0_096074_2021-05-05_final
2021-05-05 09:53:17	ga_ls8c_ard_3-2-0_096075_2021-05-05_final
2021-05-05 09:53:41	ga_ls8c_ard_3-2-0_096076_2021-05-05_final
2021-05-05 09:54:05	ga_ls8c_ard_3-2-0_096077_2021-05-05_final
2021-05-05 09:54:29	ga_ls8c_ard_3-2-0_096078_2021-05-05_final
2021-05-05 09:54:52	ga_ls8c_ard_3-2-0_096079_2021-05-05_final
2021-05-05 09:55:16	ga_ls8c_ard_3-2-0_096080_2021-05-05_final
2021-05-05 09:55:40	ga_ls8c_ard_3-2-0_096081_2021-05-05_final
2021-05-05 09:56:04	ga_ls8c_ard_3-2-0_096082_2021-05-05_final
2021-05-05 09:56:28	ga_ls8c_ard_3-2-0_096083_2021-05-05_final
2021-05-05 09:56:52	ga_ls8c_ard_3-2-0_096084_2021-05-05_final
2021-05-05 09:57:16	ga_ls8c_ard_3-2-0_096085_2021-05-05_final
2021-05-05 09:57:40	ga_ls8c_ard_3-2-0_096086_2021-05-05_final
2021-05-06 10:36:56	ga_ls8c_ard_3-2-0_103076_2021-05-06_final
2021-05-06 10:37:20	ga_ls8c_ard_3-2-0_103077_2021-05-06_final
2021-05-06 10:38:07	ga_ls8c_ard_3-2-0_103079_2021-05-06_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-05-07 09:39:19	ga_ls8c_ard_3-2-0_094071_2021-05-07_final
2021-05-07 09:39:43	ga_ls8c_ard_3-2-0_094072_2021-05-07_final
2021-05-07 09:40:06	ga_ls8c_ard_3-2-0_094073_2021-05-07_final
2021-05-07 09:40:30	ga_ls8c_ard_3-2-0_094074_2021-05-07_final
2021-05-07 09:40:54	ga_ls8c_ard_3-2-0_094075_2021-05-07_final
2021-05-07 09:41:18	ga_ls8c_ard_3-2-0_094076_2021-05-07_final
2021-05-07 09:41:42	ga_ls8c_ard_3-2-0_094077_2021-05-07_final
2021-05-07 09:42:06	ga_ls8c_ard_3-2-0_094078_2021-05-07_final
2021-05-07 09:42:30	ga_ls8c_ard_3-2-0_094079_2021-05-07_final
2021-05-07 09:42:54	ga_ls8c_ard_3-2-0_094080_2021-05-07_final
2021-05-07 09:43:18	ga_ls8c_ard_3-2-0_094081_2021-05-07_final
2021-05-07 09:43:42	ga_ls8c_ard_3-2-0_094082_2021-05-07_final

Return to ga_ls8c_ard_3 across May 2021 overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2021

May

All days