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
2013-11-27 11:09:33	ga_ls8c_ard_3-0-0_108075_2013-11-27_final
2013-11-28 10:13:56	ga_ls8c_ard_3-0-0_099075_2013-11-28_final
2013-11-28 11:52:49	ga_ls8c_ard_3-0-0_115075_2013-11-28_final
2013-11-29 09:18:19	ga_ls8c_ard_3-0-0_090075_2013-11-28_final
2013-11-29 10:57:12	ga_ls8c_ard_3-0-0_106075_2013-11-29_final
2013-11-30 10:01:35	ga_ls8c_ard_3-0-0_097075_2013-11-30_final
2013-11-30 11:40:28	ga_ls8c_ard_3-0-0_113075_2013-11-30_final
2013-12-01 10:44:51	ga_ls8c_ard_3-0-0_104075_2013-12-01_final
2014-03-10 11:14:41	ga_ls8c_ard_3-1-0_109075_2014-03-10_final
2014-03-11 10:19:03	ga_ls8c_ard_3-0-0_100075_2014-03-11_final
2014-03-12 11:02:18	ga_ls8c_ard_3-0-0_107075_2014-03-12_final
2014-03-13 10:06:40	ga_ls8c_ard_3-0-0_098075_2014-03-13_final
2014-03-13 11:45:33	ga_ls8c_ard_3-0-0_114075_2014-03-13_final
2014-03-14 09:11:02	ga_ls8c_ard_3-0-0_089075_2014-03-13_final
2014-06-10 09:59:39	ga_ls8c_ard_3-0-0_097075_2014-06-10_final
2014-06-10 11:38:32	ga_ls8c_ard_3-0-0_113075_2014-06-10_final
2014-06-11 10:42:31	ga_ls8c_ard_3-0-0_104074_2014-06-11_final
2014-06-11 10:42:55	ga_ls8c_ard_3-0-0_104075_2014-06-11_final
2014-06-12 09:46:54	ga_ls8c_ard_3-0-0_095074_2014-06-12_final
2014-06-12 09:47:18	ga_ls8c_ard_3-0-0_095075_2014-06-12_final
2014-06-12 11:26:11	ga_ls8c_ard_3-0-0_111075_2014-06-12_final
2014-06-13 10:30:34	ga_ls8c_ard_3-0-0_102075_2014-06-13_final
2016-10-21 10:00:18	ga_ls8c_ard_3-0-0_097075_2016-10-21_final
2016-10-21 11:39:11	ga_ls8c_ard_3-0-0_113075_2016-10-21_final
2016-10-22 10:43:34	ga_ls8c_ard_3-0-0_104075_2016-10-22_final
2016-10-23 09:47:33	ga_ls8c_ard_3-0-0_095074_2016-10-23_final
2016-10-23 09:47:57	ga_ls8c_ard_3-0-0_095075_2016-10-23_final
2016-10-23 11:26:50	ga_ls8c_ard_3-0-0_111075_2016-10-23_final
2016-10-24 10:31:13	ga_ls8c_ard_3-0-0_102075_2016-10-24_final
2016-10-28 10:06:29	ga_ls8c_ard_3-0-0_098075_2016-10-28_final
2016-10-28 11:44:59	ga_ls8c_ard_3-0-0_114074_2016-10-28_final
2016-10-28 11:45:23	ga_ls8c_ard_3-0-0_114075_2016-10-28_final
2016-10-29 09:10:28	ga_ls8c_ard_3-0-0_089074_2016-10-28_final
2016-10-29 09:10:52	ga_ls8c_ard_3-0-0_089075_2016-10-28_final
2016-10-29 10:49:45	ga_ls8c_ard_3-0-0_105075_2016-10-29_final
2016-10-30 09:54:08	ga_ls8c_ard_3-0-0_096075_2016-10-30_final
2016-10-30 11:32:37	ga_ls8c_ard_3-0-0_112074_2016-10-30_final
2016-10-30 11:33:01	ga_ls8c_ard_3-0-0_112075_2016-10-30_final
2016-10-31 10:37:23	ga_ls8c_ard_3-0-0_103075_2016-10-31_final
2016-12-24 10:00:12	ga_ls8c_ard_3-0-0_097075_2016-12-24_final
2016-12-24 11:39:05	ga_ls8c_ard_3-0-0_113075_2016-12-24_final
2016-12-25 10:43:27	ga_ls8c_ard_3-0-0_104075_2016-12-25_final
2016-12-26 09:47:50	ga_ls8c_ard_3-0-0_095075_2016-12-26_final
2016-12-26 11:26:43	ga_ls8c_ard_3-0-0_111075_2016-12-26_final
2016-12-27 10:30:42	ga_ls8c_ard_3-0-0_102074_2016-12-27_final
2016-12-27 10:31:06	ga_ls8c_ard_3-0-0_102075_2016-12-27_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-03-07 09:53:35	ga_ls8c_ard_3-0-0_096075_2017-03-07_final
2017-03-07 11:32:28	ga_ls8c_ard_3-0-0_112075_2017-03-07_final
2020-06-01 10:05:38	ga_ls8c_ard_3-1-0_098075_2020-06-01_final
2020-06-01 11:44:07	ga_ls8c_ard_3-1-0_114074_2020-06-01_final
2020-06-01 11:44:31	ga_ls8c_ard_3-1-0_114075_2020-06-01_final
2020-06-02 09:09:38	ga_ls8c_ard_3-1-0_089074_2020-06-01_final
2020-06-02 09:10:02	ga_ls8c_ard_3-1-0_089075_2020-06-01_final
2020-06-02 10:48:55	ga_ls8c_ard_3-1-0_105075_2020-06-02_final
2020-06-03 09:52:54	ga_ls8c_ard_3-1-0_096074_2020-06-03_final
2020-06-03 09:53:18	ga_ls8c_ard_3-1-0_096075_2020-06-03_final
2020-06-03 11:32:11	ga_ls8c_ard_3-1-0_112075_2020-06-03_final
2020-06-17 10:05:48	ga_ls8c_ard_3-1-0_098075_2020-06-17_final
2020-06-17 11:44:17	ga_ls8c_ard_3-1-0_114074_2020-06-17_final
2020-06-17 11:44:41	ga_ls8c_ard_3-1-0_114075_2020-06-17_final
2020-06-18 09:09:47	ga_ls8c_ard_3-1-0_089074_2020-06-17_final
2020-06-18 09:10:11	ga_ls8c_ard_3-1-0_089075_2020-06-17_final
2020-06-18 10:49:04	ga_ls8c_ard_3-1-0_105075_2020-06-18_final
2020-06-19 09:53:28	ga_ls8c_ard_3-1-0_096075_2020-06-19_final
2020-06-19 11:32:21	ga_ls8c_ard_3-1-0_112075_2020-06-19_final
2020-07-23 09:41:20	ga_ls8c_ard_3-1-0_094075_2020-07-23_final
2020-07-23 11:20:13	ga_ls8c_ard_3-1-0_110075_2020-07-23_final
2020-07-24 10:24:12	ga_ls8c_ard_3-1-0_101074_2020-07-24_final
2020-07-24 10:24:36	ga_ls8c_ard_3-1-0_101075_2020-07-24_final
2020-07-25 09:28:59	ga_ls8c_ard_3-1-0_092075_2020-07-24_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-07-25 11:07:52	ga_ls8c_ard_3-1-0_108075_2020-07-25_final
2020-08-01 09:35:11	ga_ls8c_ard_3-1-0_093075_2020-08-01_final
2020-08-01 11:13:40	ga_ls8c_ard_3-1-0_109074_2020-08-01_final
2020-08-01 11:14:04	ga_ls8c_ard_3-1-0_109075_2020-08-01_final
2020-08-02 10:18:27	ga_ls8c_ard_3-1-0_100075_2020-08-02_final
2020-08-02 11:56:56	ga_ls8c_ard_3-1-0_116074_2020-08-02_final
2020-08-02 11:57:20	ga_ls8c_ard_3-1-0_116075_2020-08-02_final
2020-08-03 09:22:26	ga_ls8c_ard_3-1-0_091074_2020-08-02_final
2020-08-03 09:22:50	ga_ls8c_ard_3-1-0_091075_2020-08-02_final
2020-08-03 11:01:43	ga_ls8c_ard_3-1-0_107075_2020-08-03_final
2020-08-11 10:12:18	ga_ls8c_ard_3-1-0_099075_2020-08-11_final
2020-08-11 11:50:47	ga_ls8c_ard_3-1-0_115074_2020-08-11_final
2020-08-11 11:51:11	ga_ls8c_ard_3-1-0_115075_2020-08-11_final
2020-08-12 09:16:41	ga_ls8c_ard_3-1-0_090075_2020-08-11_final
2020-08-12 10:55:10	ga_ls8c_ard_3-1-0_106074_2020-08-12_final
2020-08-12 10:55:34	ga_ls8c_ard_3-1-0_106075_2020-08-12_final
2020-08-13 09:59:33	ga_ls8c_ard_3-1-0_097074_2020-08-13_final
2020-08-13 09:59:57	ga_ls8c_ard_3-1-0_097075_2020-08-13_final
2020-08-13 11:38:26	ga_ls8c_ard_3-1-0_113074_2020-08-13_final
2020-08-13 11:38:50	ga_ls8c_ard_3-1-0_113075_2020-08-13_final
2020-08-20 11:45:05	ga_ls8c_ard_3-1-0_114075_2020-08-20_final
2020-08-21 09:10:11	ga_ls8c_ard_3-1-0_089074_2020-08-20_final
2020-08-21 09:10:35	ga_ls8c_ard_3-1-0_089075_2020-08-20_final
2020-08-21 10:49:28	ga_ls8c_ard_3-1-0_105075_2020-08-21_final
2020-08-22 09:53:51	ga_ls8c_ard_3-1-0_096075_2020-08-22_final
2020-08-22 11:32:44	ga_ls8c_ard_3-1-0_112075_2020-08-22_final
2020-08-26 11:08:03	ga_ls8c_ard_3-1-0_108075_2020-08-26_final
2020-08-27 10:12:02	ga_ls8c_ard_3-1-0_099074_2020-08-27_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