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
2021-08-04 11:15:24	ga_ls8c_ard_3-2-0_109078_2021-08-04_final
2021-08-04 11:15:48	ga_ls8c_ard_3-2-0_109079_2021-08-04_final
2021-08-05 10:19:47	ga_ls8c_ard_3-2-0_100078_2021-08-05_final
2021-08-05 10:20:11	ga_ls8c_ard_3-2-0_100079_2021-08-05_final
2021-08-05 11:58:40	ga_ls8c_ard_3-2-0_116078_2021-08-05_final
2021-08-06 09:24:10	ga_ls8c_ard_3-2-0_091078_2021-08-05_final
2021-08-06 09:24:34	ga_ls8c_ard_3-2-0_091079_2021-08-05_final
2021-08-06 11:03:03	ga_ls8c_ard_3-2-0_107078_2021-08-06_final
2021-08-06 11:03:27	ga_ls8c_ard_3-2-0_107079_2021-08-06_final
2021-08-07 10:07:26	ga_ls8c_ard_3-2-0_098078_2021-08-07_final
2021-08-07 10:07:50	ga_ls8c_ard_3-2-0_098079_2021-08-07_final
2021-08-07 11:46:19	ga_ls8c_ard_3-2-0_114078_2021-08-07_final
2021-08-07 11:46:43	ga_ls8c_ard_3-2-0_114079_2021-08-07_final
2021-08-08 09:11:49	ga_ls8c_ard_3-2-0_089078_2021-08-07_final
2021-08-08 09:12:13	ga_ls8c_ard_3-2-0_089079_2021-08-07_final
2021-08-08 10:51:06	ga_ls8c_ard_3-2-0_105079_2021-08-08_final
2021-08-09 09:55:05	ga_ls8c_ard_3-2-0_096078_2021-08-09_final
2021-08-09 09:55:29	ga_ls8c_ard_3-2-0_096079_2021-08-09_final
2021-08-09 11:33:58	ga_ls8c_ard_3-2-0_112078_2021-08-09_final
2021-08-09 11:34:22	ga_ls8c_ard_3-2-0_112079_2021-08-09_final
2021-10-23 09:36:52	ga_ls8c_ard_3-2-0_093078_2021-10-23_final
2021-10-23 09:37:16	ga_ls8c_ard_3-2-0_093079_2021-10-23_final
2021-10-23 11:15:45	ga_ls8c_ard_3-2-0_109078_2021-10-23_final
2021-10-23 11:16:09	ga_ls8c_ard_3-2-0_109079_2021-10-23_final
2021-10-24 10:20:08	ga_ls8c_ard_3-2-0_100078_2021-10-24_final
2021-10-24 10:20:32	ga_ls8c_ard_3-2-0_100079_2021-10-24_final
2021-10-24 11:59:01	ga_ls8c_ard_3-2-0_116078_2021-10-24_final
2021-10-25 09:24:31	ga_ls8c_ard_3-2-0_091078_2021-10-24_final
2021-10-25 09:24:55	ga_ls8c_ard_3-2-0_091079_2021-10-24_final
2021-10-25 11:03:24	ga_ls8c_ard_3-2-0_107078_2021-10-25_final
2021-10-25 11:03:48	ga_ls8c_ard_3-2-0_107079_2021-10-25_final
2021-10-26 10:07:46	ga_ls8c_ard_3-2-0_098078_2021-10-26_final
2021-10-26 10:08:10	ga_ls8c_ard_3-2-0_098079_2021-10-26_final
2021-10-26 11:46:39	ga_ls8c_ard_3-2-0_114078_2021-10-26_final
2021-10-26 11:47:03	ga_ls8c_ard_3-2-0_114079_2021-10-26_final
2021-10-27 09:12:09	ga_ls8c_ard_3-2-0_089078_2021-10-26_final
2021-10-27 09:12:33	ga_ls8c_ard_3-2-0_089079_2021-10-26_final
2021-10-27 10:51:26	ga_ls8c_ard_3-2-0_105079_2021-10-27_final
2022-01-24 10:44:59	ga_ls8c_ard_3-2-1_104079_2022-01-24_final
2022-01-25 09:49:21	ga_ls8c_ard_3-2-1_095079_2022-01-25_final
2022-01-25 11:27:50	ga_ls8c_ard_3-2-1_111078_2022-01-25_final
2022-01-25 11:28:14	ga_ls8c_ard_3-2-1_111079_2022-01-25_final
2022-05-05 09:23:55	ga_ls8c_ard_3-2-1_091078_2022-05-04_final
2022-05-05 09:24:19	ga_ls8c_ard_3-2-1_091079_2022-05-04_final
2022-05-05 11:02:48	ga_ls8c_ard_3-2-1_107078_2022-05-05_final
2022-05-05 11:03:12	ga_ls8c_ard_3-2-1_107079_2022-05-05_final
2022-05-06 10:07:11	ga_ls8c_ard_3-2-1_098078_2022-05-06_final
2022-05-06 11:46:28	ga_ls8c_ard_3-2-1_114079_2022-05-06_final
2022-05-07 09:11:35	ga_ls8c_ard_3-2-1_089078_2022-05-06_final
2022-05-07 09:11:59	ga_ls8c_ard_3-2-1_089079_2022-05-06_final
2022-05-07 10:50:28	ga_ls8c_ard_3-2-1_105078_2022-05-07_final
2022-05-07 10:50:52	ga_ls8c_ard_3-2-1_105079_2022-05-07_final
2023-07-07 11:27:21	ga_ls8c_ard_3-2-1_111078_2023-07-07_final
2023-07-07 11:27:45	ga_ls8c_ard_3-2-1_111079_2023-07-07_final
2023-07-08 10:31:44	ga_ls8c_ard_3-2-1_102078_2023-07-08_final
2023-07-08 10:32:08	ga_ls8c_ard_3-2-1_102079_2023-07-08_final
2023-07-09 09:36:07	ga_ls8c_ard_3-2-1_093078_2023-07-09_final
2023-07-09 09:36:31	ga_ls8c_ard_3-2-1_093079_2023-07-09_final
2023-07-09 11:15:00	ga_ls8c_ard_3-2-1_109078_2023-07-09_final
2023-07-09 11:15:24	ga_ls8c_ard_3-2-1_109079_2023-07-09_final
2023-07-10 10:19:23	ga_ls8c_ard_3-2-1_100078_2023-07-10_final
2023-07-10 10:19:47	ga_ls8c_ard_3-2-1_100079_2023-07-10_final
2023-07-10 11:58:16	ga_ls8c_ard_3-2-1_116078_2023-07-10_final
2023-07-11 09:23:46	ga_ls8c_ard_3-2-1_091078_2023-07-10_final
2023-07-11 09:24:10	ga_ls8c_ard_3-2-1_091079_2023-07-10_final
2023-07-16 09:42:19	ga_ls8c_ard_3-2-1_094078_2023-07-16_final
2023-07-16 09:42:43	ga_ls8c_ard_3-2-1_094079_2023-07-16_final
2023-07-16 11:21:12	ga_ls8c_ard_3-2-1_110078_2023-07-16_final
2023-07-16 11:21:36	ga_ls8c_ard_3-2-1_110079_2023-07-16_final
2023-07-17 10:25:35	ga_ls8c_ard_3-2-1_101078_2023-07-17_final
2023-07-17 10:25:59	ga_ls8c_ard_3-2-1_101079_2023-07-17_final
2023-07-18 09:29:58	ga_ls8c_ard_3-2-1_092078_2023-07-17_final
2023-07-18 09:30:22	ga_ls8c_ard_3-2-1_092079_2023-07-18_final
2023-07-18 11:08:51	ga_ls8c_ard_3-2-1_108078_2023-07-18_final
2023-07-18 11:09:15	ga_ls8c_ard_3-2-1_108079_2023-07-18_final
2023-07-19 10:13:13	ga_ls8c_ard_3-2-1_099078_2023-07-19_final
2023-07-19 10:13:37	ga_ls8c_ard_3-2-1_099079_2023-07-19_final
2023-07-19 11:52:06	ga_ls8c_ard_3-2-1_115078_2023-07-19_final
2023-07-19 11:52:30	ga_ls8c_ard_3-2-1_115079_2023-07-19_final
2023-07-20 09:17:35	ga_ls8c_ard_3-2-1_090078_2023-07-19_final
2023-07-20 09:17:59	ga_ls8c_ard_3-2-1_090079_2023-07-19_final
2023-07-20 10:56:28	ga_ls8c_ard_3-2-1_106078_2023-07-20_final
2023-07-20 10:56:52	ga_ls8c_ard_3-2-1_106079_2023-07-20_final
2023-07-30 09:54:48	ga_ls8c_ard_3-2-1_096078_2023-07-30_final
2023-07-30 09:55:12	ga_ls8c_ard_3-2-1_096079_2023-07-30_final
2023-07-30 11:33:41	ga_ls8c_ard_3-2-1_112078_2023-07-30_final
2023-07-30 11:34:05	ga_ls8c_ard_3-2-1_112079_2023-07-30_final
2023-07-31 10:38:04	ga_ls8c_ard_3-2-1_103078_2023-07-31_final
2023-07-31 10:38:28	ga_ls8c_ard_3-2-1_103079_2023-07-31_final
2023-08-01 09:42:27	ga_ls8c_ard_3-2-1_094078_2023-08-01_final
2023-08-01 09:42:51	ga_ls8c_ard_3-2-1_094079_2023-08-01_final
2023-08-01 11:21:44	ga_ls8c_ard_3-2-1_110079_2023-08-01_final
2023-08-02 10:25:44	ga_ls8c_ard_3-2-1_101078_2023-08-02_final
2023-08-02 10:26:07	ga_ls8c_ard_3-2-1_101079_2023-08-02_final
2023-08-05 09:17:45	ga_ls8c_ard_3-2-1_090078_2023-08-04_final
2023-08-05 09:18:09	ga_ls8c_ard_3-2-1_090079_2023-08-04_final
2023-08-05 10:56:38	ga_ls8c_ard_3-2-1_106078_2023-08-05_final
2023-08-05 10:57:02	ga_ls8c_ard_3-2-1_106079_2023-08-05_final
2023-08-06 10:01:01	ga_ls8c_ard_3-2-1_097078_2023-08-06_final
2023-08-06 10:01:25	ga_ls8c_ard_3-2-1_097079_2023-08-06_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