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
2014-01-08 10:06:39	ga_ls8c_ard_3-0-0_098073_2014-01-08_final
2014-01-09 10:49:53	ga_ls8c_ard_3-0-0_105073_2014-01-09_final
2014-01-10 09:54:15	ga_ls8c_ard_3-0-0_096073_2014-01-10_final
2014-01-10 11:33:08	ga_ls8c_ard_3-0-0_112073_2014-01-10_final
2014-01-11 10:37:29	ga_ls8c_ard_3-0-0_103073_2014-01-11_final
2014-01-12 09:41:51	ga_ls8c_ard_3-0-0_094073_2014-01-12_final
2014-01-12 11:20:44	ga_ls8c_ard_3-0-0_110073_2014-01-12_final
2014-01-14 11:08:19	ga_ls8c_ard_3-0-0_108073_2014-01-14_final
2014-02-07 10:18:41	ga_ls8c_ard_3-0-0_100073_2014-02-07_final
2014-02-08 11:01:55	ga_ls8c_ard_3-0-0_107073_2014-02-08_final
2014-02-10 10:49:07	ga_ls8c_ard_3-0-0_105072_2014-02-10_final
2014-02-10 10:49:31	ga_ls8c_ard_3-0-0_105073_2014-02-10_final
2014-02-11 09:53:53	ga_ls8c_ard_3-0-0_096073_2014-02-11_final
2014-02-13 09:41:29	ga_ls8c_ard_3-0-0_094073_2014-02-13_final
2014-02-13 11:20:22	ga_ls8c_ard_3-0-0_110073_2014-02-13_final
2014-05-12 10:29:39	ga_ls8c_ard_3-0-0_102073_2014-05-12_final
2014-05-13 09:34:01	ga_ls8c_ard_3-0-0_093073_2014-05-13_final
2014-05-13 11:12:54	ga_ls8c_ard_3-0-0_109073_2014-05-13_final
2014-05-14 10:17:16	ga_ls8c_ard_3-0-0_100073_2014-05-14_final
2014-05-15 11:00:31	ga_ls8c_ard_3-0-0_107073_2014-05-15_final
2014-05-16 10:04:53	ga_ls8c_ard_3-0-0_098073_2014-05-16_final
2014-05-17 10:47:44	ga_ls8c_ard_3-0-0_105072_2014-05-17_final
2014-05-17 10:48:08	ga_ls8c_ard_3-0-0_105073_2014-05-17_final
2020-06-01 10:04:26	ga_ls8c_ard_3-1-0_098072_2020-06-01_final
2020-06-01 10:04:50	ga_ls8c_ard_3-1-0_098073_2020-06-01_final
2020-06-02 10:47:43	ga_ls8c_ard_3-1-0_105072_2020-06-02_final
2020-06-02 10:48:07	ga_ls8c_ard_3-1-0_105073_2020-06-02_final
2020-06-03 09:52:06	ga_ls8c_ard_3-1-0_096072_2020-06-03_final
2020-06-03 09:52:30	ga_ls8c_ard_3-1-0_096073_2020-06-03_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-03 11:31:23	ga_ls8c_ard_3-1-0_112073_2020-06-03_final
2020-06-17 10:04:36	ga_ls8c_ard_3-1-0_098072_2020-06-17_final
2020-06-17 10:05:00	ga_ls8c_ard_3-1-0_098073_2020-06-17_final
2020-06-18 10:47:53	ga_ls8c_ard_3-1-0_105072_2020-06-18_final
2020-06-18 10:48:17	ga_ls8c_ard_3-1-0_105073_2020-06-18_final
2020-06-19 09:52:16	ga_ls8c_ard_3-1-0_096072_2020-06-19_final
2020-06-19 09:52:40	ga_ls8c_ard_3-1-0_096073_2020-06-19_final
2020-06-19 11:31:09	ga_ls8c_ard_3-1-0_112072_2020-06-19_final
2020-06-19 11:31:33	ga_ls8c_ard_3-1-0_112073_2020-06-19_final
2020-07-23 09:40:08	ga_ls8c_ard_3-1-0_094072_2020-07-23_final
2020-07-23 09:40:32	ga_ls8c_ard_3-1-0_094073_2020-07-23_final
2020-07-23 11:19:01	ga_ls8c_ard_3-1-0_110072_2020-07-23_final
2020-07-23 11:19:25	ga_ls8c_ard_3-1-0_110073_2020-07-23_final
2020-07-24 10:23:24	ga_ls8c_ard_3-1-0_101072_2020-07-24_final
2020-07-24 10:23:48	ga_ls8c_ard_3-1-0_101073_2020-07-24_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-07-25 09:28:11	ga_ls8c_ard_3-1-0_092073_2020-07-24_final
2020-07-25 11:06:40	ga_ls8c_ard_3-1-0_108072_2020-07-25_final
2020-07-25 11:07:04	ga_ls8c_ard_3-1-0_108073_2020-07-25_final
2020-08-01 09:33:59	ga_ls8c_ard_3-1-0_093072_2020-08-01_final
2020-08-01 09:34:23	ga_ls8c_ard_3-1-0_093073_2020-08-01_final
2020-08-01 11:12:52	ga_ls8c_ard_3-1-0_109072_2020-08-01_final
2020-08-01 11:13:16	ga_ls8c_ard_3-1-0_109073_2020-08-01_final
2020-08-02 10:17:15	ga_ls8c_ard_3-1-0_100072_2020-08-02_final
2020-08-02 10:17:39	ga_ls8c_ard_3-1-0_100073_2020-08-02_final
2020-08-03 09:21:38	ga_ls8c_ard_3-1-0_091072_2020-08-02_final
2020-08-03 09:22:02	ga_ls8c_ard_3-1-0_091073_2020-08-02_final
2020-08-03 11:00:31	ga_ls8c_ard_3-1-0_107072_2020-08-03_final
2020-08-03 11:00:55	ga_ls8c_ard_3-1-0_107073_2020-08-03_final
2020-08-11 10:11:06	ga_ls8c_ard_3-1-0_099072_2020-08-11_final
2020-08-11 10:11:30	ga_ls8c_ard_3-1-0_099073_2020-08-11_final
2020-08-11 11:50:23	ga_ls8c_ard_3-1-0_115073_2020-08-11_final
2020-08-12 10:54:22	ga_ls8c_ard_3-1-0_106072_2020-08-12_final
2020-08-12 10:54:46	ga_ls8c_ard_3-1-0_106073_2020-08-12_final
2020-08-13 09:58:45	ga_ls8c_ard_3-1-0_097072_2020-08-13_final
2020-08-13 09:59:09	ga_ls8c_ard_3-1-0_097073_2020-08-13_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-08-13 11:38:02	ga_ls8c_ard_3-1-0_113073_2020-08-13_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-08-22 11:31:56	ga_ls8c_ard_3-1-0_112073_2020-08-22_final
2020-10-04 09:34:22	ga_ls8c_ard_3-1-0_093072_2020-10-04_final
2020-10-04 09:34:46	ga_ls8c_ard_3-1-0_093073_2020-10-04_final
2020-10-04 11:13:15	ga_ls8c_ard_3-1-0_109072_2020-10-04_final
2020-10-04 11:13:39	ga_ls8c_ard_3-1-0_109073_2020-10-04_final
2020-10-05 10:17:38	ga_ls8c_ard_3-1-0_100072_2020-10-05_final
2020-10-05 10:18:02	ga_ls8c_ard_3-1-0_100073_2020-10-05_final
2020-10-06 09:22:00	ga_ls8c_ard_3-1-0_091072_2020-10-05_final
2020-10-06 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-10-05_final
2020-10-06 11:00:53	ga_ls8c_ard_3-1-0_107072_2020-10-06_final
2020-10-06 11:01:17	ga_ls8c_ard_3-1-0_107073_2020-10-06_final
2020-11-12 11:19:47	ga_ls8c_ard_3-1-0_110073_2020-11-12_final
2020-11-15 10:11:24	ga_ls8c_ard_3-1-0_099072_2020-11-15_final
2020-11-15 10:11:48	ga_ls8c_ard_3-1-0_099073_2020-11-15_final
2020-11-15 11:50:41	ga_ls8c_ard_3-1-0_115073_2020-11-15_final
2020-11-19 09:47:06	ga_ls8c_ard_3-1-0_095073_2020-11-19_final
2020-11-19 11:25:36	ga_ls8c_ard_3-1-0_111072_2020-11-19_final
2020-11-19 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-11-19_final
2020-11-20 10:29:59	ga_ls8c_ard_3-1-0_102072_2020-11-20_final
2020-11-20 10:30:22	ga_ls8c_ard_3-1-0_102073_2020-11-20_final
2020-11-21 09:34:45	ga_ls8c_ard_3-1-0_093073_2020-11-21_final
2020-11-21 11:13:38	ga_ls8c_ard_3-1-0_109073_2020-11-21_final
2020-11-22 10:17:37	ga_ls8c_ard_3-1-0_100072_2020-11-22_final
2020-11-22 10:18:01	ga_ls8c_ard_3-1-0_100073_2020-11-22_final
2020-12-04 10:42:47	ga_ls8c_ard_3-1-0_104073_2020-12-04_final
2020-12-05 09:47:09	ga_ls8c_ard_3-1-0_095073_2020-12-05_final
2020-12-05 11:26:02	ga_ls8c_ard_3-1-0_111073_2020-12-05_final
2020-12-06 10:30:01	ga_ls8c_ard_3-1-0_102072_2020-12-06_final
2020-12-06 10:30:25	ga_ls8c_ard_3-1-0_102073_2020-12-06_final
2020-12-07 09:34:24	ga_ls8c_ard_3-1-0_093072_2020-12-07_final
2020-12-07 09:34:48	ga_ls8c_ard_3-1-0_093073_2020-12-07_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