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
2014-07-22 10:36:07	ga_ls8c_ard_3-0-0_103073_2014-07-22_final
2014-07-22 10:36:31	ga_ls8c_ard_3-0-0_103074_2014-07-22_final
2014-07-23 09:40:30	ga_ls8c_ard_3-0-0_094073_2014-07-23_final
2014-07-23 09:40:54	ga_ls8c_ard_3-0-0_094074_2014-07-23_final
2014-07-23 11:19:23	ga_ls8c_ard_3-0-0_110073_2014-07-23_final
2014-07-23 11:19:47	ga_ls8c_ard_3-0-0_110074_2014-07-23_final
2014-07-24 10:23:46	ga_ls8c_ard_3-0-0_101073_2014-07-24_final
2014-07-24 10:24:09	ga_ls8c_ard_3-0-0_101074_2014-07-24_final
2014-07-25 09:28:08	ga_ls8c_ard_3-1-0_092073_2014-07-24_final
2014-07-25 09:28:32	ga_ls8c_ard_3-0-0_092074_2014-07-24_final
2014-07-25 11:07:01	ga_ls8c_ard_3-0-0_108073_2014-07-25_final
2014-07-25 11:07:25	ga_ls8c_ard_3-0-0_108074_2014-07-25_final
2014-07-26 10:11:25	ga_ls8c_ard_3-0-0_099073_2014-07-26_final
2014-07-26 10:11:49	ga_ls8c_ard_3-0-0_099074_2014-07-26_final
2014-07-26 11:50:42	ga_ls8c_ard_3-0-0_115074_2014-07-26_final
2014-07-27 10:54:41	ga_ls8c_ard_3-0-0_106073_2014-07-27_final
2014-07-27 10:55:05	ga_ls8c_ard_3-0-0_106074_2014-07-27_final
2014-10-10 10:36:27	ga_ls8c_ard_3-0-0_103073_2014-10-10_final
2014-10-10 10:36:50	ga_ls8c_ard_3-0-0_103074_2014-10-10_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 11:19:43	ga_ls8c_ard_3-0-0_110073_2014-10-11_final
2014-10-11 11:20:07	ga_ls8c_ard_3-0-0_110074_2014-10-11_final
2014-10-12 10:24:06	ga_ls8c_ard_3-0-0_101073_2014-10-12_final
2014-10-12 10:24:30	ga_ls8c_ard_3-0-0_101074_2014-10-12_final
2014-10-19 10:30:18	ga_ls8c_ard_3-0-0_102073_2014-10-19_final
2014-10-19 10:30:42	ga_ls8c_ard_3-0-0_102074_2014-10-19_final
2014-10-20 09:34:41	ga_ls8c_ard_3-0-0_093073_2014-10-20_final
2014-10-20 09:35:05	ga_ls8c_ard_3-0-0_093074_2014-10-20_final
2014-10-20 11:13:34	ga_ls8c_ard_3-0-0_109073_2014-10-20_final
2014-10-20 11:13:58	ga_ls8c_ard_3-0-0_109074_2014-10-20_final
2014-10-21 10:17:56	ga_ls8c_ard_3-0-0_100073_2014-10-21_final
2014-10-21 10:18:20	ga_ls8c_ard_3-0-0_100074_2014-10-21_final
2014-10-22 09:22:19	ga_ls8c_ard_3-0-0_091073_2014-10-21_final
2014-10-22 09:22:43	ga_ls8c_ard_3-0-0_091074_2014-10-21_final
2014-10-22 11:01:36	ga_ls8c_ard_3-0-0_107074_2014-10-22_final
2014-10-23 10:05:34	ga_ls8c_ard_3-0-0_098073_2014-10-23_final
2014-10-23 10:05:58	ga_ls8c_ard_3-0-0_098074_2014-10-23_final
2014-10-23 11:44:51	ga_ls8c_ard_3-0-0_114074_2014-10-23_final
2014-10-24 09:10:20	ga_ls8c_ard_3-0-0_089074_2014-10-23_final
2014-11-07 09:22:19	ga_ls8c_ard_3-0-0_091073_2014-11-06_final
2014-11-07 09:22:42	ga_ls8c_ard_3-0-0_091074_2014-11-06_final
2014-11-07 11:01:12	ga_ls8c_ard_3-0-0_107073_2014-11-07_final
2014-11-07 11:01:35	ga_ls8c_ard_3-0-0_107074_2014-11-07_final
2014-11-08 10:05:34	ga_ls8c_ard_3-0-0_098073_2014-11-08_final
2014-11-08 10:05:58	ga_ls8c_ard_3-0-0_098074_2014-11-08_final
2014-11-08 11:44:51	ga_ls8c_ard_3-0-0_114074_2014-11-08_final
2014-11-09 09:10:21	ga_ls8c_ard_3-0-0_089074_2014-11-08_final
2014-11-20 10:30:13	ga_ls8c_ard_3-0-0_102073_2014-11-20_final
2014-11-20 10:30:37	ga_ls8c_ard_3-0-0_102074_2014-11-20_final
2014-11-21 09:34:35	ga_ls8c_ard_3-0-0_093073_2014-11-21_final
2014-11-21 09:34:59	ga_ls8c_ard_3-0-0_093074_2014-11-21_final
2014-11-21 11:13:28	ga_ls8c_ard_3-0-0_109073_2014-11-21_final
2014-11-21 11:13:52	ga_ls8c_ard_3-0-0_109074_2014-11-21_final
2014-11-22 10:17:52	ga_ls8c_ard_3-0-0_100073_2014-11-22_final
2014-11-22 10:18:16	ga_ls8c_ard_3-0-0_100074_2014-11-22_final
2014-11-23 09:22:39	ga_ls8c_ard_3-0-0_091074_2014-11-22_final
2014-11-23 11:01:08	ga_ls8c_ard_3-0-0_107073_2014-11-23_final
2014-11-23 11:01:32	ga_ls8c_ard_3-0-0_107074_2014-11-23_final
2014-11-24 10:05:55	ga_ls8c_ard_3-0-0_098074_2014-11-24_final
2014-11-24 11:44:48	ga_ls8c_ard_3-0-0_114074_2014-11-24_final
2014-11-25 09:10:18	ga_ls8c_ard_3-0-0_089074_2014-11-24_final
2014-12-13 10:36:43	ga_ls8c_ard_3-0-0_103074_2014-12-13_final
2014-12-14 09:41:07	ga_ls8c_ard_3-0-0_094074_2014-12-14_final
2014-12-14 11:19:36	ga_ls8c_ard_3-0-0_110073_2014-12-14_final
2014-12-14 11:20:00	ga_ls8c_ard_3-0-0_110074_2014-12-14_final
2014-12-15 10:24:23	ga_ls8c_ard_3-0-0_101074_2014-12-15_final
2014-12-16 09:28:22	ga_ls8c_ard_3-0-0_092073_2014-12-15_final
2014-12-16 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-12-15_final
2014-12-16 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-12-16_final
2014-12-17 10:11:38	ga_ls8c_ard_3-0-0_099073_2014-12-17_final
2014-12-17 10:12:02	ga_ls8c_ard_3-0-0_099074_2014-12-17_final
2014-12-17 11:50:55	ga_ls8c_ard_3-0-0_115074_2014-12-17_final
2014-12-18 10:55:18	ga_ls8c_ard_3-0-0_106074_2014-12-18_final
2023-03-22 11:44:29	ga_ls8c_ard_3-2-1_114074_2023-03-22_final
2023-03-23 09:09:58	ga_ls8c_ard_3-2-1_089074_2023-03-22_final
2023-03-23 10:48:27	ga_ls8c_ard_3-2-1_105073_2023-03-23_final
2023-03-23 10:48:51	ga_ls8c_ard_3-2-1_105074_2023-03-23_final
2023-03-24 09:53:13	ga_ls8c_ard_3-2-1_096074_2023-03-24_final
2023-03-30 10:54:35	ga_ls8c_ard_3-2-1_106073_2023-03-30_final
2023-03-30 10:54:59	ga_ls8c_ard_3-2-1_106074_2023-03-30_final
2023-03-31 09:59:21	ga_ls8c_ard_3-2-1_097074_2023-03-31_final
2023-03-31 11:38:14	ga_ls8c_ard_3-2-1_113074_2023-03-31_final
2023-04-01 10:42:36	ga_ls8c_ard_3-2-1_104074_2023-04-01_final
2023-04-02 09:46:34	ga_ls8c_ard_3-2-1_095073_2023-04-02_final
2023-04-02 09:46:58	ga_ls8c_ard_3-2-1_095074_2023-04-02_final
2023-04-02 11:25:51	ga_ls8c_ard_3-2-1_111074_2023-04-02_final
2023-04-03 10:29:48	ga_ls8c_ard_3-2-1_102073_2023-04-03_final
2023-04-03 10:30:12	ga_ls8c_ard_3-2-1_102074_2023-04-03_final
2023-04-06 09:21:46	ga_ls8c_ard_3-2-1_091073_2023-04-05_final
2023-04-06 09:22:10	ga_ls8c_ard_3-2-1_091074_2023-04-05_final
2023-04-06 11:01:03	ga_ls8c_ard_3-2-1_107074_2023-04-06_final
2023-04-07 10:05:00	ga_ls8c_ard_3-2-1_098073_2023-04-07_final
2023-04-07 10:05:24	ga_ls8c_ard_3-2-1_098074_2023-04-07_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-04-13 09:28:13	ga_ls8c_ard_3-2-1_092074_2023-04-12_final
2023-04-13 11:07:06	ga_ls8c_ard_3-2-1_108074_2023-04-13_final
2023-04-14 10:11:29	ga_ls8c_ard_3-2-1_099074_2023-04-14_final
2023-04-14 11:50:22	ga_ls8c_ard_3-2-1_115074_2023-04-14_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