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
2021-04-06 10:26:26	ga_ls8c_ard_3-2-0_101080_2021-04-06_final
2021-09-16 10:59:04	ga_ls8c_ard_3-2-0_106083_2021-09-16_final
2021-09-19 09:48:41	ga_ls8c_ard_3-2-0_095077_2021-09-19_final
2021-09-20 10:32:45	ga_ls8c_ard_3-2-0_102079_2021-09-20_final
2021-09-26 09:53:42	ga_ls8c_ard_3-2-0_096074_2021-09-26_final
2021-09-27 10:38:58	ga_ls8c_ard_3-2-0_103079_2021-09-27_final
2021-09-28 09:44:09	ga_ls8c_ard_3-2-0_094081_2021-09-28_final
2021-09-30 11:05:54	ga_ls8c_ard_3-2-0_108069_2021-09-30_final
2021-10-03 11:40:25	ga_ls8c_ard_3-2-0_113078_2021-10-03_final
2021-10-05 09:48:47	ga_ls8c_ard_3-2-0_095077_2021-10-05_final
2021-10-05 11:28:52	ga_ls8c_ard_3-2-0_111080_2021-10-05_final
2021-10-06 10:31:39	ga_ls8c_ard_3-2-0_102076_2021-10-06_final
2021-10-08 10:21:17	ga_ls8c_ard_3-2-0_100081_2021-10-08_final
2021-10-09 11:03:22	ga_ls8c_ard_3-2-0_107078_2021-10-09_final
2021-10-12 09:54:59	ga_ls8c_ard_3-2-0_096077_2021-10-12_final
2021-10-12 11:35:04	ga_ls8c_ard_3-2-0_112080_2021-10-12_final
2021-10-18 09:20:19	ga_ls8c_ard_3-2-0_090083_2021-10-17_final
2021-10-19 10:03:11	ga_ls8c_ard_3-2-0_097082_2021-10-19_final
2021-10-21 09:48:50	ga_ls8c_ard_3-2-0_095077_2021-10-21_final
2021-10-21 09:50:02	ga_ls8c_ard_3-2-0_095080_2021-10-21_final
2021-10-23 09:37:16	ga_ls8c_ard_3-2-0_093079_2021-10-23_final
2021-10-27 10:51:26	ga_ls8c_ard_3-2-0_105079_2021-10-27_final
2021-10-29 10:37:28	ga_ls8c_ard_3-2-0_103075_2021-10-29_final
2021-10-30 09:41:51	ga_ls8c_ard_3-2-0_094075_2021-10-30_final
2021-10-30 11:22:20	ga_ls8c_ard_3-2-0_110079_2021-10-30_final
2021-11-01 11:10:22	ga_ls8c_ard_3-2-0_108080_2021-11-01_final
2021-11-04 10:00:23	ga_ls8c_ard_3-2-0_097075_2021-11-04_final
2021-11-04 11:40:51	ga_ls8c_ard_3-2-0_113079_2021-11-04_final
2021-11-08 09:38:26	ga_ls8c_ard_3-2-0_093082_2021-11-08_final
2021-11-13 09:54:33	ga_ls8c_ard_3-2-0_096076_2021-11-13_final
2021-11-29 11:34:13	ga_ls8c_ard_3-2-0_112078_2021-11-29_final
2021-11-30 10:37:24	ga_ls8c_ard_3-2-0_103075_2021-11-30_final
2021-12-06 10:01:07	ga_ls8c_ard_3-2-1_097077_2021-12-06_final
2021-12-06 11:40:48	ga_ls8c_ard_3-2-1_113079_2021-12-06_final
2021-12-11 11:58:32	ga_ls8c_ard_3-2-1_116077_2021-12-11_final
2021-12-15 09:54:31	ga_ls8c_ard_3-2-1_096076_2021-12-15_final
2021-12-15 11:34:12	ga_ls8c_ard_3-2-1_112078_2021-12-15_final
2021-12-24 09:49:54	ga_ls8c_ard_3-2-1_095080_2021-12-24_final
2021-12-27 10:21:10	ga_ls8c_ard_3-2-1_100081_2021-12-27_final
2021-12-31 11:34:06	ga_ls8c_ard_3-2-1_112078_2021-12-31_final
2022-01-01 10:37:17	ga_ls8c_ard_3-2-1_103075_2022-01-01_final
2022-01-09 09:49:50	ga_ls8c_ard_3-2-1_095080_2022-01-09_final
2022-01-11 11:16:21	ga_ls8c_ard_3-2-1_109080_2022-01-11_final
2022-01-16 09:54:00	ga_ls8c_ard_3-2-1_096075_2022-01-16_final
2022-01-25 09:48:57	ga_ls8c_ard_3-2-1_095078_2022-01-25_final
2022-01-27 11:15:52	ga_ls8c_ard_3-2-1_109079_2022-01-27_final
2022-02-08 10:00:05	ga_ls8c_ard_3-2-1_097075_2022-02-08_final
2022-02-09 10:41:20	ga_ls8c_ard_3-2-1_104070_2022-02-09_final
2022-02-17 09:54:38	ga_ls8c_ard_3-2-1_096077_2022-02-17_final
2022-02-25 10:41:15	ga_ls8c_ard_3-2-1_104070_2022-02-25_final
2022-03-03 10:08:57	ga_ls8c_ard_3-2-1_098082_2022-03-03_final
2022-03-05 11:34:40	ga_ls8c_ard_3-2-1_112080_2022-03-05_final
2022-03-07 09:42:13	ga_ls8c_ard_3-2-1_094077_2022-03-07_final
2022-03-11 10:56:21	ga_ls8c_ard_3-2-1_106077_2022-03-11_final
2022-03-11 10:58:21	ga_ls8c_ard_3-2-1_106082_2022-03-11_final
2022-03-22 10:38:29	ga_ls8c_ard_3-2-1_103079_2022-03-22_final
2022-03-31 10:32:36	ga_ls8c_ard_3-2-1_102080_2022-03-31_final
2022-04-01 09:36:34	ga_ls8c_ard_3-2-1_093079_2022-04-01_final
2022-04-07 10:36:50	ga_ls8c_ard_3-2-1_103075_2022-04-07_final
2022-04-07 10:37:13	ga_ls8c_ard_3-2-1_103076_2022-04-07_final
2022-04-08 09:41:37	ga_ls8c_ard_3-2-1_094076_2022-04-08_final
2022-04-08 09:43:12	ga_ls8c_ard_3-2-1_094080_2022-04-08_final
2023-02-24 09:30:20	ga_ls8c_ard_3-2-1_092078_2023-02-24_final
2023-03-01 09:49:15	ga_ls8c_ard_3-2-1_095079_2023-03-01_final
2023-03-02 10:32:54	ga_ls8c_ard_3-2-1_102080_2023-03-02_final
2023-03-04 10:20:56	ga_ls8c_ard_3-2-1_100081_2023-03-04_final
2023-03-08 11:34:38	ga_ls8c_ard_3-2-1_112080_2023-03-08_final
2023-03-10 09:44:35	ga_ls8c_ard_3-2-1_094083_2023-03-10_final
2023-03-13 10:14:41	ga_ls8c_ard_3-2-1_099081_2023-03-13_final
2023-03-15 10:02:43	ga_ls8c_ard_3-2-1_097082_2023-03-15_final
2023-03-17 09:49:08	ga_ls8c_ard_3-2-1_095079_2023-03-17_final
2023-03-17 11:28:25	ga_ls8c_ard_3-2-1_111080_2023-03-17_final
2023-03-24 09:55:13	ga_ls8c_ard_3-2-1_096079_2023-03-24_final
2023-03-24 11:33:42	ga_ls8c_ard_3-2-1_112078_2023-03-24_final
2023-03-26 11:21:20	ga_ls8c_ard_3-2-1_110078_2023-03-26_final
2023-04-02 11:28:14	ga_ls8c_ard_3-2-1_111080_2023-04-02_final
2023-04-09 11:32:16	ga_ls8c_ard_3-2-1_112075_2023-04-09_final
2023-04-11 09:41:23	ga_ls8c_ard_3-2-1_094076_2023-04-11_final
2023-04-12 10:26:14	ga_ls8c_ard_3-2-1_101080_2023-04-12_final
2023-04-14 10:14:16	ga_ls8c_ard_3-2-1_099081_2023-04-14_final
2023-04-16 11:38:47	ga_ls8c_ard_3-2-1_113076_2023-04-16_final
2023-04-17 10:43:09	ga_ls8c_ard_3-2-1_104076_2023-04-17_final
2023-04-17 10:45:09	ga_ls8c_ard_3-2-1_104081_2023-04-17_final
2023-04-18 09:48:43	ga_ls8c_ard_3-2-1_095079_2023-04-18_final
2023-04-20 09:37:32	ga_ls8c_ard_3-2-1_093082_2023-04-20_final
2023-04-24 10:49:43	ga_ls8c_ard_3-2-1_105077_2023-04-24_final
2023-04-26 10:36:33	ga_ls8c_ard_3-2-1_103075_2023-04-26_final
2023-04-27 09:41:20	ga_ls8c_ard_3-2-1_094076_2023-04-27_final
2023-04-27 09:42:55	ga_ls8c_ard_3-2-1_094080_2023-04-27_final
2023-04-27 11:21:48	ga_ls8c_ard_3-2-1_110080_2023-04-27_final
2023-04-28 10:26:11	ga_ls8c_ard_3-2-1_101080_2023-04-28_final
2023-04-28 10:26:35	ga_ls8c_ard_3-2-1_101081_2023-04-28_final
2023-04-29 11:09:26	ga_ls8c_ard_3-2-1_108080_2023-04-29_final
2023-05-03 10:43:28	ga_ls8c_ard_3-2-1_104077_2023-05-03_final
2023-05-03 10:43:52	ga_ls8c_ard_3-2-1_104078_2023-05-03_final
2023-05-04 11:27:07	ga_ls8c_ard_3-2-1_111078_2023-05-04_final
2023-05-06 11:14:44	ga_ls8c_ard_3-2-1_109078_2023-05-06_final
2023-05-08 11:02:44	ga_ls8c_ard_3-2-1_107079_2023-05-08_final
2023-05-09 10:08:18	ga_ls8c_ard_3-2-1_098082_2023-05-09_final
2023-05-19 10:42:53	ga_ls8c_ard_3-2-1_104076_2023-05-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years