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
2013-04-12 10:48:56	ga_ls8c_ard_3-0-0_105069_2013-04-12_final
2013-06-08 10:42:51	ga_ls8c_ard_3-0-0_104069_2013-06-08_final
2013-06-09 11:26:07	ga_ls8c_ard_3-0-0_111069_2013-06-09_final
2013-06-10 10:30:29	ga_ls8c_ard_3-0-0_102069_2013-06-10_final
2013-06-11 11:13:44	ga_ls8c_ard_3-0-0_109069_2013-06-11_final
2013-08-21 11:19:57	ga_ls8c_ard_3-0-0_110069_2013-08-21_final
2013-08-21 11:20:21	ga_ls8c_ard_3-0-0_110070_2013-08-21_final
2013-08-22 10:24:43	ga_ls8c_ard_3-0-0_101070_2013-08-22_final
2013-08-23 11:07:59	ga_ls8c_ard_3-0-0_108070_2013-08-23_final
2013-08-24 10:12:22	ga_ls8c_ard_3-0-0_099070_2013-08-24_final
2013-09-27 09:59:26	ga_ls8c_ard_3-0-0_097069_2013-09-27_final
2013-09-27 09:59:50	ga_ls8c_ard_3-0-0_097070_2013-09-27_final
2013-09-28 10:42:42	ga_ls8c_ard_3-0-0_104069_2013-09-28_final
2013-09-28 10:43:06	ga_ls8c_ard_3-0-0_104070_2013-09-28_final
2013-11-12 10:11:39	ga_ls8c_ard_3-0-0_099069_2013-11-12_final
2013-11-12 10:12:03	ga_ls8c_ard_3-0-0_099070_2013-11-12_final
2013-11-13 10:54:54	ga_ls8c_ard_3-0-0_106069_2013-11-13_final
2013-11-13 10:55:18	ga_ls8c_ard_3-0-0_106070_2013-11-13_final
2015-02-09 11:11:37	ga_ls8c_ard_3-0-0_109069_2015-02-09_final
2015-02-09 11:12:01	ga_ls8c_ard_3-0-0_109070_2015-02-09_final
2015-03-05 10:22:01	ga_ls8c_ard_3-0-0_101069_2015-03-05_final
2015-03-05 10:22:25	ga_ls8c_ard_3-0-0_101070_2015-03-05_final
2015-03-06 11:05:16	ga_ls8c_ard_3-0-0_108069_2015-03-06_final
2015-03-06 11:05:40	ga_ls8c_ard_3-0-0_108070_2015-03-06_final
2015-03-07 10:09:38	ga_ls8c_ard_3-0-0_099069_2015-03-07_final
2015-03-07 10:10:02	ga_ls8c_ard_3-0-0_099070_2015-03-07_final
2015-03-08 10:52:52	ga_ls8c_ard_3-0-0_106069_2015-03-08_final
2015-03-08 10:53:16	ga_ls8c_ard_3-0-0_106070_2015-03-08_final
2015-04-18 10:46:23	ga_ls8c_ard_3-0-0_105069_2015-04-18_final
2015-04-18 10:46:47	ga_ls8c_ard_3-0-0_105070_2015-04-18_final
2015-04-19 09:50:46	ga_ls8c_ard_3-0-0_096069_2015-04-19_final
2015-04-19 09:51:10	ga_ls8c_ard_3-0-0_096070_2015-04-19_final
2015-05-04 10:46:11	ga_ls8c_ard_3-0-0_105069_2015-05-04_final
2015-05-04 10:46:35	ga_ls8c_ard_3-0-0_105070_2015-05-04_final
2015-05-05 09:50:33	ga_ls8c_ard_3-0-0_096069_2015-05-05_final
2015-05-05 09:50:57	ga_ls8c_ard_3-0-0_096070_2015-05-05_final
2015-05-05 11:29:26	ga_ls8c_ard_3-0-0_112069_2015-05-05_final
2015-05-05 11:29:49	ga_ls8c_ard_3-0-0_112070_2015-05-05_final
2018-03-11 10:34:15	ga_ls8c_ard_3-0-0_103069_2018-03-11_final
2018-03-11 10:34:39	ga_ls8c_ard_3-0-0_103070_2018-03-11_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-03-12 11:17:54	ga_ls8c_ard_3-0-0_110070_2018-03-12_final
2018-03-13 10:21:52	ga_ls8c_ard_3-0-0_101069_2018-03-13_final
2018-03-13 10:22:16	ga_ls8c_ard_3-0-0_101070_2018-03-13_final
2018-03-14 11:05:08	ga_ls8c_ard_3-0-0_108069_2018-03-14_final
2018-03-14 11:05:31	ga_ls8c_ard_3-0-0_108070_2018-03-14_final
2018-05-14 10:33:41	ga_ls8c_ard_3-0-0_103069_2018-05-14_final
2018-05-14 10:34:05	ga_ls8c_ard_3-0-0_103070_2018-05-14_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-05-15 11:17:19	ga_ls8c_ard_3-0-0_110070_2018-05-15_final
2018-05-16 10:21:18	ga_ls8c_ard_3-0-0_101069_2018-05-16_final
2018-05-17 11:04:32	ga_ls8c_ard_3-0-0_108069_2018-05-17_final
2018-05-17 11:04:56	ga_ls8c_ard_3-0-0_108070_2018-05-17_final
2019-07-11 10:40:46	ga_ls8c_ard_3-1-0_104069_2019-07-11_final
2019-07-11 10:41:10	ga_ls8c_ard_3-1-0_104070_2019-07-11_final
2019-07-12 09:45:33	ga_ls8c_ard_3-1-0_095070_2019-07-12_final
2019-07-12 11:24:02	ga_ls8c_ard_3-1-0_111069_2019-07-12_final
2019-07-12 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2019-09-06 10:34:52	ga_ls8c_ard_3-1-0_103069_2019-09-06_final
2019-09-06 10:35:16	ga_ls8c_ard_3-1-0_103070_2019-09-06_final
2019-09-07 11:18:08	ga_ls8c_ard_3-1-0_110069_2019-09-07_final
2019-09-07 11:18:32	ga_ls8c_ard_3-1-0_110070_2019-09-07_final
2019-09-08 10:22:31	ga_ls8c_ard_3-1-0_101069_2019-09-08_final
2019-09-08 10:22:55	ga_ls8c_ard_3-1-0_101070_2019-09-08_final
2019-09-12 09:57:49	ga_ls8c_ard_3-1-0_097069_2019-09-12_final
2019-09-12 09:58:13	ga_ls8c_ard_3-1-0_097070_2019-09-12_final
2019-09-13 10:41:05	ga_ls8c_ard_3-1-0_104069_2019-09-13_final
2019-09-13 10:41:29	ga_ls8c_ard_3-1-0_104070_2019-09-13_final
2019-09-14 09:45:52	ga_ls8c_ard_3-1-0_095070_2019-09-14_final
2019-09-14 11:24:22	ga_ls8c_ard_3-1-0_111069_2019-09-14_final
2019-09-14 11:24:45	ga_ls8c_ard_3-1-0_111070_2019-09-14_final
2019-09-15 10:28:45	ga_ls8c_ard_3-1-0_102069_2019-09-15_final
2019-09-15 10:29:08	ga_ls8c_ard_3-1-0_102070_2019-09-15_final
2019-09-29 10:41:10	ga_ls8c_ard_3-1-0_104069_2019-09-29_final
2019-09-29 10:41:34	ga_ls8c_ard_3-1-0_104070_2019-09-29_final
2019-09-30 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-09-30_final
2019-09-30 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-09-30_final
2019-09-30 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-09-30_final
2019-10-01 10:28:49	ga_ls8c_ard_3-1-0_102069_2019-10-01_final
2019-10-01 10:29:13	ga_ls8c_ard_3-1-0_102070_2019-10-01_final
2019-10-02 11:12:05	ga_ls8c_ard_3-1-0_109069_2019-10-02_final
2019-10-02 11:12:29	ga_ls8c_ard_3-1-0_109070_2019-10-02_final
2019-10-03 10:16:28	ga_ls8c_ard_3-1-0_100069_2019-10-03_final
2019-10-03 10:16:52	ga_ls8c_ard_3-1-0_100070_2019-10-03_final
2019-10-04 10:59:44	ga_ls8c_ard_3-1-0_107069_2019-10-04_final
2019-10-04 11:00:08	ga_ls8c_ard_3-1-0_107070_2019-10-04_final
2019-11-16 10:41:10	ga_ls8c_ard_3-1-0_104069_2019-11-16_final
2019-11-16 10:41:34	ga_ls8c_ard_3-1-0_104070_2019-11-16_final
2019-11-17 09:45:57	ga_ls8c_ard_3-1-0_095070_2019-11-17_final
2019-11-17 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-11-17_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-11-22 10:04:04	ga_ls8c_ard_3-1-0_098069_2019-11-22_final
2019-11-22 10:04:28	ga_ls8c_ard_3-1-0_098070_2019-11-22_final
2019-11-23 10:47:20	ga_ls8c_ard_3-1-0_105069_2019-11-23_final
2019-11-23 10:47:43	ga_ls8c_ard_3-1-0_105070_2019-11-23_final
2019-11-24 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-11-24_final
2019-11-24 09:52:06	ga_ls8c_ard_3-1-0_096070_2019-11-24_final
2019-11-24 11:30:35	ga_ls8c_ard_3-1-0_112069_2019-11-24_final
2019-11-24 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-11-24_final
2019-11-25 10:34:58	ga_ls8c_ard_3-1-0_103069_2019-11-25_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