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
2015-04-30 09:34:29	ga_ls8c_ard_3-0-0_093075_2015-04-30_final
2015-04-30 11:13:22	ga_ls8c_ard_3-0-0_109075_2015-04-30_final
2015-05-01 10:17:44	ga_ls8c_ard_3-0-0_100075_2015-05-01_final
2015-05-14 09:46:37	ga_ls8c_ard_3-0-0_095075_2015-05-14_final
2015-05-14 11:25:30	ga_ls8c_ard_3-0-0_111075_2015-05-14_final
2015-05-15 10:29:28	ga_ls8c_ard_3-0-0_102074_2015-05-15_final
2015-05-15 10:29:52	ga_ls8c_ard_3-0-0_102075_2015-05-15_final
2015-05-16 09:33:51	ga_ls8c_ard_3-0-0_093074_2015-05-16_final
2015-05-16 09:34:15	ga_ls8c_ard_3-0-0_093075_2015-05-16_final
2015-05-16 11:12:44	ga_ls8c_ard_3-0-0_109074_2015-05-16_final
2015-05-16 11:13:08	ga_ls8c_ard_3-0-0_109075_2015-05-16_final
2015-05-17 10:17:07	ga_ls8c_ard_3-0-0_100074_2015-05-17_final
2015-05-17 10:17:31	ga_ls8c_ard_3-0-0_100075_2015-05-17_final
2015-05-17 11:56:01	ga_ls8c_ard_3-0-0_116074_2015-05-17_final
2015-07-26 09:40:37	ga_ls8c_ard_3-0-0_094074_2015-07-26_final
2015-07-26 09:41:01	ga_ls8c_ard_3-0-0_094075_2015-07-26_final
2015-07-26 11:19:30	ga_ls8c_ard_3-0-0_110074_2015-07-26_final
2015-07-26 11:19:54	ga_ls8c_ard_3-0-0_110075_2015-07-26_final
2015-07-27 10:23:53	ga_ls8c_ard_3-0-0_101074_2015-07-27_final
2015-07-27 10:24:17	ga_ls8c_ard_3-0-0_101075_2015-07-27_final
2015-08-02 09:46:49	ga_ls8c_ard_3-0-0_095074_2015-08-02_final
2015-08-02 09:47:13	ga_ls8c_ard_3-0-0_095075_2015-08-02_final
2015-08-02 11:25:42	ga_ls8c_ard_3-0-0_111074_2015-08-02_final
2015-08-02 11:26:06	ga_ls8c_ard_3-0-0_111075_2015-08-02_final
2015-08-03 10:30:05	ga_ls8c_ard_3-0-0_102074_2015-08-03_final
2015-08-03 10:30:29	ga_ls8c_ard_3-0-0_102075_2015-08-03_final
2015-08-04 09:34:28	ga_ls8c_ard_3-0-0_093074_2015-08-04_final
2015-08-04 09:34:52	ga_ls8c_ard_3-0-0_093075_2015-08-04_final
2015-08-04 11:13:21	ga_ls8c_ard_3-0-0_109074_2015-08-04_final
2015-08-04 11:13:45	ga_ls8c_ard_3-0-0_109075_2015-08-04_final
2015-08-05 10:17:43	ga_ls8c_ard_3-0-0_100074_2015-08-05_final
2015-08-05 10:18:07	ga_ls8c_ard_3-0-0_100075_2015-08-05_final
2015-08-05 11:56:36	ga_ls8c_ard_3-0-0_116074_2015-08-05_final
2015-08-05 11:57:00	ga_ls8c_ard_3-0-0_116075_2015-08-05_final
2018-09-16 10:05:22	ga_ls8c_ard_3-0-0_098074_2018-09-16_final
2018-09-16 10:05:46	ga_ls8c_ard_3-0-0_098075_2018-09-16_final
2018-09-16 11:44:15	ga_ls8c_ard_3-0-0_114074_2018-09-16_final
2018-09-16 11:44:39	ga_ls8c_ard_3-0-0_114075_2018-09-16_final
2018-09-17 09:09:45	ga_ls8c_ard_3-0-0_089074_2018-09-16_final
2018-09-17 09:10:09	ga_ls8c_ard_3-0-0_089075_2018-09-16_final
2018-09-17 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-09-17_final
2018-09-17 10:49:02	ga_ls8c_ard_3-0-0_105075_2018-09-17_final
2018-10-04 09:53:09	ga_ls8c_ard_3-0-0_096074_2018-10-04_final
2018-10-04 09:53:32	ga_ls8c_ard_3-0-0_096075_2018-10-04_final
2018-10-04 11:32:02	ga_ls8c_ard_3-0-0_112074_2018-10-04_final
2018-10-04 11:32:26	ga_ls8c_ard_3-0-0_112075_2018-10-04_final
2018-10-05 10:36:49	ga_ls8c_ard_3-0-0_103075_2018-10-05_final
2018-10-06 09:41:12	ga_ls8c_ard_3-0-0_094075_2018-10-06_final
2018-10-06 11:19:41	ga_ls8c_ard_3-0-0_110074_2018-10-06_final
2018-10-06 11:20:05	ga_ls8c_ard_3-0-0_110075_2018-10-06_final
2018-10-07 10:24:28	ga_ls8c_ard_3-0-0_101075_2018-10-07_final
2018-12-23 09:53:15	ga_ls8c_ard_3-0-0_096074_2018-12-23_final
2018-12-23 09:53:39	ga_ls8c_ard_3-0-0_096075_2018-12-23_final
2018-12-23 11:32:32	ga_ls8c_ard_3-0-0_112075_2018-12-23_final
2018-12-24 10:36:31	ga_ls8c_ard_3-0-0_103074_2018-12-24_final
2018-12-24 10:36:55	ga_ls8c_ard_3-0-0_103075_2018-12-24_final
2018-12-25 09:40:54	ga_ls8c_ard_3-0-0_094074_2018-12-25_final
2018-12-25 09:41:18	ga_ls8c_ard_3-0-0_094075_2018-12-25_final
2018-12-25 11:19:47	ga_ls8c_ard_3-0-0_110074_2018-12-25_final
2018-12-25 11:20:11	ga_ls8c_ard_3-0-0_110075_2018-12-25_final
2018-12-26 10:24:10	ga_ls8c_ard_3-0-0_101074_2018-12-26_final
2018-12-26 10:24:33	ga_ls8c_ard_3-0-0_101075_2018-12-26_final
2019-01-06 10:06:00	ga_ls8c_ard_3-0-0_098075_2019-01-06_final
2019-01-06 11:44:29	ga_ls8c_ard_3-0-0_114074_2019-01-06_final
2019-01-06 11:44:53	ga_ls8c_ard_3-0-0_114075_2019-01-06_final
2019-01-07 09:09:59	ga_ls8c_ard_3-0-0_089074_2019-01-06_final
2019-01-07 09:10:23	ga_ls8c_ard_3-0-0_089075_2019-01-06_final
2019-01-07 10:48:52	ga_ls8c_ard_3-0-0_105074_2019-01-07_final
2019-01-07 10:49:16	ga_ls8c_ard_3-0-0_105075_2019-01-07_final
2023-03-02 10:30:55	ga_ls8c_ard_3-2-1_102075_2023-03-02_final
2023-03-04 10:18:32	ga_ls8c_ard_3-2-1_100075_2023-03-04_final
2023-03-04 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-03-04_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-05 11:01:47	ga_ls8c_ard_3-2-1_107075_2023-03-05_final
2023-08-14 10:48:54	ga_ls8c_ard_3-2-1_105074_2023-08-14_final
2023-08-14 10:49:18	ga_ls8c_ard_3-2-1_105075_2023-08-14_final
2023-08-15 09:53:18	ga_ls8c_ard_3-2-1_096074_2023-08-15_final
2023-08-15 09:53:42	ga_ls8c_ard_3-2-1_096075_2023-08-15_final
2023-08-15 11:32:11	ga_ls8c_ard_3-2-1_112074_2023-08-15_final
2023-08-15 11:32:35	ga_ls8c_ard_3-2-1_112075_2023-08-15_final
2023-08-16 10:36:34	ga_ls8c_ard_3-2-1_103074_2023-08-16_final
2023-08-16 10:36:58	ga_ls8c_ard_3-2-1_103075_2023-08-16_final
2023-08-17 09:40:58	ga_ls8c_ard_3-2-1_094074_2023-08-17_final
2023-08-17 09:41:22	ga_ls8c_ard_3-2-1_094075_2023-08-17_final
2023-08-17 11:19:51	ga_ls8c_ard_3-2-1_110074_2023-08-17_final
2023-08-17 11:20:15	ga_ls8c_ard_3-2-1_110075_2023-08-17_final
2023-08-22 11:38:50	ga_ls8c_ard_3-2-1_113075_2023-08-22_final
2023-08-24 11:26:05	ga_ls8c_ard_3-2-1_111074_2023-08-24_final
2023-08-24 11:26:29	ga_ls8c_ard_3-2-1_111075_2023-08-24_final
2023-08-25 10:30:28	ga_ls8c_ard_3-2-1_102074_2023-08-25_final
2023-08-25 10:30:51	ga_ls8c_ard_3-2-1_102075_2023-08-25_final
2023-08-26 09:35:14	ga_ls8c_ard_3-2-1_093075_2023-08-26_final
2023-08-26 11:14:07	ga_ls8c_ard_3-2-1_109075_2023-08-26_final
2023-08-28 11:01:22	ga_ls8c_ard_3-2-1_107074_2023-08-28_final
2023-08-28 11:01:46	ga_ls8c_ard_3-2-1_107075_2023-08-28_final
2023-08-31 09:53:23	ga_ls8c_ard_3-2-1_096074_2023-08-31_final
2023-08-31 09:53:47	ga_ls8c_ard_3-2-1_096075_2023-08-31_final
2023-08-31 11:32:16	ga_ls8c_ard_3-2-1_112074_2023-08-31_final
2023-08-31 11:32:40	ga_ls8c_ard_3-2-1_112075_2023-08-31_final
2023-09-01 10:36:38	ga_ls8c_ard_3-2-1_103074_2023-09-01_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