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
2013-11-16 09:48:06	ga_ls8c_ard_3-0-0_095072_2013-11-16_final
2013-11-16 09:48:30	ga_ls8c_ard_3-0-0_095073_2013-11-16_final
2013-11-17 10:31:44	ga_ls8c_ard_3-0-0_102073_2013-11-17_final
2013-11-20 11:02:36	ga_ls8c_ard_3-0-0_107073_2013-11-20_final
2013-12-07 10:06:34	ga_ls8c_ard_3-0-0_098072_2013-12-07_final
2013-12-07 10:06:57	ga_ls8c_ard_3-0-0_098073_2013-12-07_final
2013-12-08 10:50:13	ga_ls8c_ard_3-0-0_105073_2013-12-08_final
2013-12-09 09:54:11	ga_ls8c_ard_3-0-0_096072_2013-12-09_final
2013-12-09 09:54:35	ga_ls8c_ard_3-0-0_096073_2013-12-09_final
2013-12-09 11:33:04	ga_ls8c_ard_3-0-0_112072_2013-12-09_final
2013-12-09 11:33:28	ga_ls8c_ard_3-0-0_112073_2013-12-09_final
2013-12-10 10:37:27	ga_ls8c_ard_3-0-0_103072_2013-12-10_final
2013-12-10 10:37:50	ga_ls8c_ard_3-0-0_103073_2013-12-10_final
2013-12-11 09:42:13	ga_ls8c_ard_3-0-0_094073_2013-12-11_final
2013-12-11 11:21:06	ga_ls8c_ard_3-0-0_110073_2013-12-11_final
2013-12-12 10:25:28	ga_ls8c_ard_3-0-0_101073_2013-12-12_final
2013-12-14 10:13:05	ga_ls8c_ard_3-0-0_099073_2013-12-14_final
2013-12-15 10:56:20	ga_ls8c_ard_3-0-0_106073_2013-12-15_final
2015-08-08 10:47:50	ga_ls8c_ard_3-0-0_105072_2015-08-08_final
2015-08-08 10:48:14	ga_ls8c_ard_3-0-0_105073_2015-08-08_final
2015-08-09 09:52:14	ga_ls8c_ard_3-0-0_096072_2015-08-09_final
2015-08-09 09:52:38	ga_ls8c_ard_3-0-0_096073_2015-08-09_final
2015-08-09 11:31:07	ga_ls8c_ard_3-0-0_112072_2015-08-09_final
2015-08-09 11:31:31	ga_ls8c_ard_3-0-0_112073_2015-08-09_final
2015-08-23 10:04:43	ga_ls8c_ard_3-0-0_098072_2015-08-23_final
2015-08-23 10:05:07	ga_ls8c_ard_3-0-0_098073_2015-08-23_final
2015-08-24 10:47:59	ga_ls8c_ard_3-0-0_105072_2015-08-24_final
2015-08-24 10:48:23	ga_ls8c_ard_3-0-0_105073_2015-08-24_final
2015-08-25 09:52:22	ga_ls8c_ard_3-0-0_096072_2015-08-25_final
2015-08-25 09:52:46	ga_ls8c_ard_3-0-0_096073_2015-08-25_final
2015-08-25 11:31:15	ga_ls8c_ard_3-0-0_112072_2015-08-25_final
2015-08-25 11:31:39	ga_ls8c_ard_3-0-0_112073_2015-08-25_final
2015-11-04 09:58:53	ga_ls8c_ard_3-0-0_097072_2015-11-04_final
2015-11-04 09:59:17	ga_ls8c_ard_3-0-0_097073_2015-11-04_final
2015-11-04 11:37:46	ga_ls8c_ard_3-0-0_113072_2015-11-04_final
2015-11-04 11:38:10	ga_ls8c_ard_3-1-0_113073_2015-11-04_final
2015-11-05 10:42:08	ga_ls8c_ard_3-0-0_104072_2015-11-05_final
2015-11-05 10:42:32	ga_ls8c_ard_3-0-0_104073_2015-11-05_final
2015-11-06 09:46:31	ga_ls8c_ard_3-0-0_095072_2015-11-06_final
2015-11-06 09:46:55	ga_ls8c_ard_3-0-0_095073_2015-11-06_final
2015-11-06 11:25:24	ga_ls8c_ard_3-0-0_111072_2015-11-06_final
2015-11-06 11:25:48	ga_ls8c_ard_3-0-0_111073_2015-11-06_final
2015-11-18 10:11:39	ga_ls8c_ard_3-0-0_099073_2015-11-18_final
2015-11-18 11:50:32	ga_ls8c_ard_3-0-0_115073_2015-11-18_final
2015-11-19 10:54:55	ga_ls8c_ard_3-0-0_106073_2015-11-19_final
2015-11-20 09:58:54	ga_ls8c_ard_3-0-0_097072_2015-11-20_final
2015-11-20 09:59:18	ga_ls8c_ard_3-0-0_097073_2015-11-20_final
2015-11-20 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-11-20_final
2015-11-20 11:38:11	ga_ls8c_ard_3-1-0_113073_2015-11-20_final
2015-11-21 10:42:10	ga_ls8c_ard_3-0-0_104072_2015-11-21_final
2015-11-21 10:42:34	ga_ls8c_ard_3-0-0_104073_2015-11-21_final
2015-11-22 09:46:33	ga_ls8c_ard_3-0-0_095072_2015-11-22_final
2015-11-22 09:46:57	ga_ls8c_ard_3-0-0_095073_2015-11-22_final
2015-11-22 11:25:26	ga_ls8c_ard_3-0-0_111072_2015-11-22_final
2015-11-22 11:25:50	ga_ls8c_ard_3-0-0_111073_2015-11-22_final
2015-11-23 10:30:13	ga_ls8c_ard_3-0-0_102073_2015-11-23_final
2015-11-24 09:34:12	ga_ls8c_ard_3-0-0_093072_2015-11-24_final
2015-11-24 09:34:36	ga_ls8c_ard_3-0-0_093073_2015-11-24_final
2015-11-24 11:13:05	ga_ls8c_ard_3-0-0_109072_2015-11-24_final
2015-11-24 11:13:29	ga_ls8c_ard_3-0-0_109073_2015-11-24_final
2015-11-25 10:17:27	ga_ls8c_ard_3-0-0_100072_2015-11-25_final
2015-11-25 10:17:51	ga_ls8c_ard_3-0-0_100073_2015-11-25_final
2015-11-26 09:21:50	ga_ls8c_ard_3-0-0_091072_2015-11-25_final
2015-11-26 09:22:14	ga_ls8c_ard_3-0-0_091073_2015-11-25_final
2015-11-26 11:00:43	ga_ls8c_ard_3-0-0_107072_2015-11-26_final
2015-11-26 11:01:07	ga_ls8c_ard_3-0-0_107073_2015-11-26_final
2015-11-27 10:05:30	ga_ls8c_ard_3-0-0_098073_2015-11-27_final
2015-11-28 10:48:21	ga_ls8c_ard_3-0-0_105072_2015-11-28_final
2015-11-28 10:48:45	ga_ls8c_ard_3-0-0_105073_2015-11-28_final
2015-11-29 09:52:44	ga_ls8c_ard_3-0-0_096072_2015-11-29_final
2015-11-29 09:53:08	ga_ls8c_ard_3-0-0_096073_2015-11-29_final
2015-11-29 11:31:37	ga_ls8c_ard_3-0-0_112072_2015-11-29_final
2015-11-29 11:32:01	ga_ls8c_ard_3-0-0_112073_2015-11-29_final
2019-09-16 09:34:19	ga_ls8c_ard_3-1-0_093072_2019-09-16_final
2019-09-16 09:34:43	ga_ls8c_ard_3-1-0_093073_2019-09-16_final
2019-09-16 11:13:12	ga_ls8c_ard_3-1-0_109072_2019-09-16_final
2019-09-16 11:13:36	ga_ls8c_ard_3-1-0_109073_2019-09-16_final
2019-09-17 10:17:35	ga_ls8c_ard_3-1-0_100072_2019-09-17_final
2019-09-17 10:17:59	ga_ls8c_ard_3-1-0_100073_2019-09-17_final
2019-09-18 09:21:58	ga_ls8c_ard_3-1-0_091072_2019-09-17_final
2019-09-18 09:22:22	ga_ls8c_ard_3-1-0_091073_2019-09-17_final
2019-09-18 11:00:51	ga_ls8c_ard_3-1-0_107072_2019-09-18_final
2019-09-18 11:01:15	ga_ls8c_ard_3-1-0_107073_2019-09-18_final
2019-10-14 09:59:09	ga_ls8c_ard_3-1-0_097072_2019-10-14_final
2019-10-14 09:59:33	ga_ls8c_ard_3-1-0_097073_2019-10-14_final
2019-10-14 11:38:02	ga_ls8c_ard_3-1-0_113072_2019-10-14_final
2019-10-14 11:38:26	ga_ls8c_ard_3-1-0_113073_2019-10-14_final
2019-10-15 10:42:25	ga_ls8c_ard_3-1-0_104072_2019-10-15_final
2019-10-15 10:42:49	ga_ls8c_ard_3-1-0_104073_2019-10-15_final
2019-10-16 09:47:12	ga_ls8c_ard_3-1-0_095073_2019-10-16_final
2019-10-16 11:25:41	ga_ls8c_ard_3-1-0_111072_2019-10-16_final
2019-10-16 11:26:05	ga_ls8c_ard_3-1-0_111073_2019-10-16_final
2019-12-01 09:59:05	ga_ls8c_ard_3-1-0_097072_2019-12-01_final
2019-12-01 09:59:29	ga_ls8c_ard_3-1-0_097073_2019-12-01_final
2019-12-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2019-12-01_final
2019-12-01 11:38:22	ga_ls8c_ard_3-1-0_113073_2019-12-01_final
2019-12-02 10:42:21	ga_ls8c_ard_3-1-0_104072_2019-12-02_final
2019-12-02 10:42:45	ga_ls8c_ard_3-1-0_104073_2019-12-02_final
2019-12-03 09:47:07	ga_ls8c_ard_3-1-0_095073_2019-12-03_final
2019-12-03 11:25:36	ga_ls8c_ard_3-1-0_111072_2019-12-03_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