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
2020-06-12 08:10:20	ga_ls8c_ard_3-2-1_079080_2020-06-11_final
2021-03-15 12:37:18	ga_ls8c_ard_3-2-1_123067_2021-03-15_final
2021-06-15 08:10:33	ga_ls8c_ard_3-2-1_079080_2021-06-14_final
2021-07-05 12:37:22	ga_ls8c_ard_3-2-1_123067_2021-07-05_final
2021-08-18 08:10:52	ga_ls8c_ard_3-2-1_079080_2021-08-17_final
2021-12-28 12:37:44	ga_ls8c_ard_3-2-1_123067_2021-12-28_final
2023-02-04 11:34:38	ga_ls8c_ard_3-2-1_112079_2023-02-04_final
2023-03-15 11:40:24	ga_ls8c_ard_3-2-1_113079_2023-03-15_final
2023-03-16 10:44:46	ga_ls8c_ard_3-2-1_104079_2023-03-16_final
2023-03-24 11:32:06	ga_ls8c_ard_3-2-1_112074_2023-03-24_final
2023-04-02 09:47:46	ga_ls8c_ard_3-2-1_095076_2023-04-02_final
2023-04-09 09:53:47	ga_ls8c_ard_3-2-1_096076_2023-04-09_final
2023-04-11 09:40:59	ga_ls8c_ard_3-2-1_094075_2023-04-11_final
2023-04-11 09:42:35	ga_ls8c_ard_3-2-1_094079_2023-04-11_final
2023-04-12 10:25:50	ga_ls8c_ard_3-2-1_101079_2023-04-12_final
2023-04-18 09:48:19	ga_ls8c_ard_3-2-1_095078_2023-04-18_final
2023-05-09 10:07:54	ga_ls8c_ard_3-2-1_098081_2023-05-09_final
2023-05-13 09:41:54	ga_ls8c_ard_3-2-1_094078_2023-05-13_final
2023-05-27 09:53:29	ga_ls8c_ard_3-2-1_096076_2023-05-27_final
2023-05-31 11:08:27	ga_ls8c_ard_3-2-1_108078_2023-05-31_final
2023-06-12 09:54:01	ga_ls8c_ard_3-2-1_096077_2023-06-12_final
2023-06-12 11:31:18	ga_ls8c_ard_3-2-1_112073_2023-06-12_final
2023-06-12 11:32:30	ga_ls8c_ard_3-2-1_112076_2023-06-12_final
2023-06-15 10:25:44	ga_ls8c_ard_3-2-1_101079_2023-06-15_final
2023-06-28 11:31:26	ga_ls8c_ard_3-2-1_112073_2023-06-28_final
2023-06-30 09:42:13	ga_ls8c_ard_3-2-1_094078_2023-06-30_final
2023-06-30 09:42:37	ga_ls8c_ard_3-2-1_094079_2023-06-30_final
2023-07-02 09:29:53	ga_ls8c_ard_3-2-1_092078_2023-07-01_final
2023-07-12 10:06:14	ga_ls8c_ard_3-2-1_098076_2023-07-12_final
2023-07-12 10:08:38	ga_ls8c_ard_3-2-1_098082_2023-07-12_final
2023-07-16 11:21:36	ga_ls8c_ard_3-2-1_110079_2023-07-16_final
2023-07-19 10:14:25	ga_ls8c_ard_3-2-1_099081_2023-07-19_final
2023-07-21 11:38:57	ga_ls8c_ard_3-2-1_113076_2023-07-21_final
2023-07-28 10:05:57	ga_ls8c_ard_3-2-1_098075_2023-07-28_final
2023-07-30 09:54:00	ga_ls8c_ard_3-2-1_096076_2023-07-30_final
2023-07-30 11:32:53	ga_ls8c_ard_3-2-1_112076_2023-07-30_final
2023-08-03 09:34:54	ga_ls8c_ard_3-2-1_092090_2023-08-03_final
2023-08-04 10:14:34	ga_ls8c_ard_3-2-1_099081_2023-08-04_final
2023-08-06 11:39:06	ga_ls8c_ard_3-2-1_113076_2023-08-06_final
2023-08-10 11:15:34	ga_ls8c_ard_3-2-1_109079_2023-08-10_final
2023-08-15 09:53:42	ga_ls8c_ard_3-2-1_096075_2023-08-15_final
2023-08-15 09:54:06	ga_ls8c_ard_3-2-1_096076_2023-08-15_final
2023-08-15 11:32:59	ga_ls8c_ard_3-2-1_112076_2023-08-15_final
2023-08-17 09:42:33	ga_ls8c_ard_3-2-1_094078_2023-08-17_final
2023-08-20 10:14:41	ga_ls8c_ard_3-2-1_099081_2023-08-20_final
2023-08-24 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-08-24_final
2023-09-05 10:14:41	ga_ls8c_ard_3-2-1_099081_2023-09-05_final
2023-09-07 10:02:43	ga_ls8c_ard_3-2-1_097082_2023-09-07_final
2023-09-09 09:49:11	ga_ls8c_ard_3-2-1_095079_2023-09-09_final
2023-09-14 10:06:35	ga_ls8c_ard_3-2-1_098076_2023-09-14_final
2023-09-15 10:50:39	ga_ls8c_ard_3-2-1_105078_2023-09-15_final
2023-09-16 11:33:55	ga_ls8c_ard_3-2-1_112078_2023-09-16_final
2023-09-17 10:38:42	ga_ls8c_ard_3-2-1_103079_2023-09-17_final
2023-09-23 10:00:02	ga_ls8c_ard_3-2-1_097075_2023-09-23_final
2023-09-26 10:31:22	ga_ls8c_ard_3-2-1_102076_2023-09-26_final
2023-10-05 10:26:47	ga_ls8c_ard_3-2-1_101080_2023-10-05_final
2023-10-09 10:02:54	ga_ls8c_ard_3-2-1_097082_2023-10-09_final
2023-10-19 10:38:47	ga_ls8c_ard_3-2-1_103079_2023-10-19_final
2023-10-21 10:26:50	ga_ls8c_ard_3-2-1_101080_2023-10-21_final
2023-10-21 10:27:14	ga_ls8c_ard_3-2-1_101081_2023-10-21_final
2023-10-25 10:00:09	ga_ls8c_ard_3-2-1_097075_2023-10-25_final
2023-10-25 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-10-25_final
2023-10-26 10:45:01	ga_ls8c_ard_3-2-1_104079_2023-10-26_final
2023-11-05 09:43:13	ga_ls8c_ard_3-2-1_094079_2023-11-05_final
2023-11-07 11:09:18	ga_ls8c_ard_3-2-1_108078_2023-11-07_final
2023-11-10 11:39:46	ga_ls8c_ard_3-2-1_113077_2023-11-10_final
2023-11-19 11:33:41	ga_ls8c_ard_3-2-1_112077_2023-11-19_final
2023-11-23 11:08:59	ga_ls8c_ard_3-2-1_108077_2023-11-23_final
2023-12-02 12:37:38	ga_ls8c_ard_3-2-1_123067_2023-12-02_final
2023-12-05 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-12-05_final
2023-12-05 11:33:59	ga_ls8c_ard_3-2-1_112078_2023-12-05_final
2023-12-12 10:00:31	ga_ls8c_ard_3-2-1_097076_2023-12-12_final
2023-12-14 09:47:23	ga_ls8c_ard_3-2-1_095074_2023-12-14_final
2023-12-19 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-12-19_final
2023-12-21 11:33:41	ga_ls8c_ard_3-2-1_112077_2023-12-21_final
2023-12-21 11:34:05	ga_ls8c_ard_3-2-1_112078_2023-12-21_final
2024-01-06 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-06_final
2024-01-06 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-06_final
2024-01-06 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-06_final
2024-01-13 09:58:06	ga_ls8c_ard_3-2-1_097070_2024-01-13_final
2024-01-22 09:54:15	ga_ls8c_ard_3-2-1_096076_2024-01-22_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-24 09:42:40	ga_ls8c_ard_3-2-1_094078_2024-01-24_final
2024-02-02 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-02_final
2024-02-06 10:48:18	ga_ls8c_ard_3-2-1_105072_2024-02-06_final
2024-02-07 11:33:58	ga_ls8c_ard_3-2-1_112078_2024-02-07_final
2024-02-09 09:42:43	ga_ls8c_ard_3-2-1_094078_2024-02-09_final
2024-02-11 11:08:50	ga_ls8c_ard_3-2-1_108077_2024-02-11_final
2024-02-19 11:58:15	ga_ls8c_ard_3-2-1_116077_2024-02-19_final
2024-02-23 11:33:55	ga_ls8c_ard_3-2-1_112078_2024-02-23_final
2024-02-23 11:34:19	ga_ls8c_ard_3-2-1_112079_2024-02-23_final
2024-03-03 09:49:08	ga_ls8c_ard_3-2-1_095079_2024-03-03_final
2024-03-03 11:29:37	ga_ls8c_ard_3-2-1_111083_2024-03-03_final
2024-03-06 08:42:18	ga_ls8c_ard_3-2-1_084082_2024-03-05_final
2024-03-10 09:54:02	ga_ls8c_ard_3-2-1_096076_2024-03-10_final
2024-03-10 11:32:55	ga_ls8c_ard_3-2-1_112076_2024-03-10_final
2024-03-12 09:42:28	ga_ls8c_ard_3-2-1_094078_2024-03-12_final
2024-03-20 10:29:26	ga_ls8c_ard_3-2-1_102072_2024-03-20_final
2024-03-24 11:47:06	ga_ls8c_ard_3-2-1_114081_2024-03-24_final
2024-03-26 11:33:06	ga_ls8c_ard_3-2-1_112077_2024-03-26_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