Search ga_ls8c_ard_3 whole collection

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
2016-11-12 12:37:47	ga_ls8c_ard_3-2-1_123067_2016-11-12_final
2017-11-30 08:42:33	ga_ls8c_ard_3-2-1_084082_2017-11-29_final
2018-12-13 12:31:09	ga_ls8c_ard_3-2-1_122067_2018-12-13_final
2020-08-12 12:31:15	ga_ls8c_ard_3-2-1_122067_2020-08-12_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-10-08 08:11:17	ga_ls8c_ard_3-2-1_079080_2022-10-07_final
2022-10-30 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-10-29_final
2023-05-26 09:15:01	ga_ls8c_ard_3-2-1_089088_2023-05-25_final
2023-10-25 11:42:38	ga_ls8c_ard_3-2-1_113084_2023-10-25_final
2024-01-02 10:18:13	ga_ls8c_ard_3-2-1_100074_2024-01-02_final
2024-01-02 10:18:37	ga_ls8c_ard_3-2-1_100075_2024-01-02_final
2024-01-04 11:46:18	ga_ls8c_ard_3-2-1_114078_2024-01-04_final
2024-01-05 10:48:40	ga_ls8c_ard_3-2-1_105073_2024-01-05_final
2024-01-06 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-06_final
2024-01-06 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-06_final
2024-01-10 11:08:27	ga_ls8c_ard_3-2-1_108076_2024-01-10_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-01-12 09:22:49	ga_ls8c_ard_3-2-1_090090_2024-01-11_final
2024-01-13 10:02:05	ga_ls8c_ard_3-2-1_097080_2024-01-13_final
2024-01-13 10:02:53	ga_ls8c_ard_3-2-1_097082_2024-01-13_final
2024-01-14 10:43:45	ga_ls8c_ard_3-2-1_104076_2024-01-14_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-18 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-18_final
2024-01-23 10:37:06	ga_ls8c_ard_3-2-1_103075_2024-01-23_final
2024-01-24 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-01-24_final
2024-01-24 11:23:08	ga_ls8c_ard_3-2-1_110082_2024-01-24_final
2024-01-25 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-01-25_final
2024-01-25 10:26:42	ga_ls8c_ard_3-2-1_101080_2024-01-25_final
2024-01-26 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-01-26_final
2024-01-28 09:18:42	ga_ls8c_ard_3-2-1_090080_2024-01-27_final
2024-01-29 09:59:35	ga_ls8c_ard_3-2-1_097074_2024-01-29_final
2024-01-29 10:01:11	ga_ls8c_ard_3-2-1_097078_2024-01-29_final
2024-01-29 10:02:47	ga_ls8c_ard_3-2-1_097082_2024-01-29_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-03 10:20:59	ga_ls8c_ard_3-2-1_100081_2024-02-03_final
2024-02-04 09:25:22	ga_ls8c_ard_3-2-1_091081_2024-02-03_final
2024-02-04 09:27:21	ga_ls8c_ard_3-2-1_091086_2024-02-03_final
2024-02-04 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-02-04_final
2024-02-07 09:55:53	ga_ls8c_ard_3-2-1_096080_2024-02-07_final
2024-02-09 11:18:49	ga_ls8c_ard_3-2-1_110071_2024-02-09_final
2024-02-10 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-02-10_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-11 11:10:26	ga_ls8c_ard_3-2-1_108081_2024-02-11_final
2024-02-12 11:50:54	ga_ls8c_ard_3-2-1_115074_2024-02-12_final
2024-02-13 09:18:47	ga_ls8c_ard_3-2-1_090080_2024-02-12_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-17 10:31:20	ga_ls8c_ard_3-2-1_102076_2024-02-17_final
2024-02-17 10:32:55	ga_ls8c_ard_3-2-1_102080_2024-02-17_final
2024-02-18 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-18_final
2024-02-18 11:13:00	ga_ls8c_ard_3-2-1_109072_2024-02-18_final
2024-02-19 11:58:39	ga_ls8c_ard_3-2-1_116078_2024-02-19_final
2024-02-20 09:24:08	ga_ls8c_ard_3-2-1_091078_2024-02-19_final
2024-02-20 09:27:20	ga_ls8c_ard_3-2-1_091086_2024-02-19_final
2024-02-20 11:02:37	ga_ls8c_ard_3-2-1_107077_2024-02-20_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-23 09:54:38	ga_ls8c_ard_3-2-1_096077_2024-02-23_final
2024-02-24 10:37:29	ga_ls8c_ard_3-2-1_103076_2024-02-24_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-02-27 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-02-27_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-02-27 09:33:28	ga_ls8c_ard_3-2-1_092086_2024-02-27_final
2024-02-29 09:19:53	ga_ls8c_ard_3-2-1_090083_2024-02-28_final
2024-02-29 10:57:10	ga_ls8c_ard_3-2-1_106079_2024-02-29_final
2024-03-01 10:00:20	ga_ls8c_ard_3-2-1_097076_2024-03-01_final
2024-03-01 10:03:08	ga_ls8c_ard_3-2-1_097083_2024-03-01_final
2024-03-02 10:44:47	ga_ls8c_ard_3-2-1_104079_2024-03-02_final
2024-03-04 10:30:47	ga_ls8c_ard_3-2-1_102075_2024-03-04_final
2024-03-04 10:31:35	ga_ls8c_ard_3-2-1_102077_2024-03-04_final
2024-03-05 09:36:44	ga_ls8c_ard_3-2-1_093079_2024-03-05_final
2024-03-05 11:15:13	ga_ls8c_ard_3-2-1_109078_2024-03-05_final
2024-03-07 09:25:08	ga_ls8c_ard_3-2-1_091081_2024-03-06_final
2024-03-07 09:25:32	ga_ls8c_ard_3-2-1_091082_2024-03-06_final
2024-03-10 11:32:31	ga_ls8c_ard_3-2-1_112075_2024-03-10_final
2024-03-10 11:34:55	ga_ls8c_ard_3-2-1_112081_2024-03-10_final
2024-03-11 10:37:42	ga_ls8c_ard_3-2-1_103077_2024-03-11_final
2024-03-12 09:41:16	ga_ls8c_ard_3-2-1_094075_2024-03-12_final
2024-03-12 09:44:52	ga_ls8c_ard_3-2-1_094084_2024-03-12_final
2024-03-13 10:24:07	ga_ls8c_ard_3-2-1_101074_2024-03-13_final
2024-03-13 10:25:43	ga_ls8c_ard_3-2-1_101078_2024-03-13_final
2024-03-17 10:02:10	ga_ls8c_ard_3-2-1_097081_2024-03-17_final
2024-03-17 11:40:39	ga_ls8c_ard_3-2-1_113080_2024-03-17_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-03-18 10:45:01	ga_ls8c_ard_3-2-1_104080_2024-03-18_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-21 09:37:47	ga_ls8c_ard_3-2-1_093082_2024-03-21_final
2024-03-21 11:14:40	ga_ls8c_ard_3-2-1_109077_2024-03-21_final
2024-03-21 11:15:04	ga_ls8c_ard_3-2-1_109078_2024-03-21_final
2024-03-25 10:50:16	ga_ls8c_ard_3-2-1_105078_2024-03-25_final
2024-03-26 09:55:01	ga_ls8c_ard_3-2-1_096079_2024-03-26_final
2024-03-26 09:56:36	ga_ls8c_ard_3-2-1_096083_2024-03-26_final
2024-03-28 11:18:18	ga_ls8c_ard_3-2-1_110071_2024-03-28_final
2024-03-29 10:23:05	ga_ls8c_ard_3-2-1_101072_2024-03-29_final
2024-03-29 10:25:05	ga_ls8c_ard_3-2-1_101077_2024-03-29_final
2024-03-30 09:29:04	ga_ls8c_ard_3-2-1_092076_2024-03-29_final
2024-03-30 11:05:33	ga_ls8c_ard_3-2-1_108070_2024-03-30_final
2024-04-01 09:19:06	ga_ls8c_ard_3-2-1_090082_2024-03-31_final
2024-04-04 09:47:37	ga_ls8c_ard_3-2-1_095076_2024-04-04_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final

Return to ga_ls8c_ard_3 whole collection 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

All years