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
2013-12-10 10:36:39	ga_ls8c_ard_3-0-0_103070_2013-12-10_final
2013-12-11 11:19:30	ga_ls8c_ard_3-0-0_110069_2013-12-11_final
2013-12-11 11:19:54	ga_ls8c_ard_3-0-0_110070_2013-12-11_final
2013-12-13 11:07:31	ga_ls8c_ard_3-0-0_108070_2013-12-13_final
2013-12-14 10:11:29	ga_ls8c_ard_3-0-0_099069_2013-12-14_final
2013-12-14 10:11:53	ga_ls8c_ard_3-0-0_099070_2013-12-14_final
2013-12-15 10:55:08	ga_ls8c_ard_3-0-0_106070_2013-12-15_final
2013-12-22 11:01:14	ga_ls8c_ard_3-0-0_107070_2013-12-22_final
2013-12-23 10:05:12	ga_ls8c_ard_3-0-0_098069_2013-12-23_final
2013-12-23 10:05:36	ga_ls8c_ard_3-0-0_098070_2013-12-23_final
2013-12-24 10:48:52	ga_ls8c_ard_3-0-0_105070_2013-12-24_final
2013-12-28 10:24:07	ga_ls8c_ard_3-0-0_101070_2013-12-28_final
2014-01-02 10:42:37	ga_ls8c_ard_3-0-0_104070_2014-01-02_final
2014-01-03 11:25:28	ga_ls8c_ard_3-0-0_111069_2014-01-03_final
2014-01-03 11:25:52	ga_ls8c_ard_3-0-0_111070_2014-01-03_final
2014-01-04 10:29:50	ga_ls8c_ard_3-0-0_102069_2014-01-04_final
2014-01-04 10:30:14	ga_ls8c_ard_3-0-0_102070_2014-01-04_final
2014-01-05 11:13:05	ga_ls8c_ard_3-0-0_109069_2014-01-05_final
2014-01-05 11:13:28	ga_ls8c_ard_3-0-0_109070_2014-01-05_final
2014-01-07 11:01:05	ga_ls8c_ard_3-0-0_107070_2014-01-07_final
2014-01-15 10:11:05	ga_ls8c_ard_3-0-0_099069_2014-01-15_final
2014-01-15 10:11:29	ga_ls8c_ard_3-0-0_099070_2014-01-15_final
2014-01-17 09:58:43	ga_ls8c_ard_3-0-0_097069_2014-01-17_final
2014-01-17 09:59:07	ga_ls8c_ard_3-1-0_097070_2014-01-17_final
2014-01-20 10:29:37	ga_ls8c_ard_3-0-0_102069_2014-01-20_final
2014-01-20 10:30:01	ga_ls8c_ard_3-0-0_102070_2014-01-20_final
2014-01-21 11:12:52	ga_ls8c_ard_3-0-0_109069_2014-01-21_final
2014-01-21 11:13:16	ga_ls8c_ard_3-0-0_109070_2014-01-21_final
2014-01-23 11:00:54	ga_ls8c_ard_3-0-0_107070_2014-01-23_final
2014-01-24 10:04:53	ga_ls8c_ard_3-0-0_098069_2014-01-24_final
2014-01-24 10:05:16	ga_ls8c_ard_3-0-0_098070_2014-01-24_final
2014-01-25 10:48:32	ga_ls8c_ard_3-0-0_105070_2014-01-25_final
2014-02-18 09:58:47	ga_ls8c_ard_3-1-0_097070_2014-02-18_final
2014-02-19 10:41:38	ga_ls8c_ard_3-0-0_104069_2014-02-19_final
2014-02-19 10:42:02	ga_ls8c_ard_3-0-0_104070_2014-02-19_final
2014-03-14 10:47:56	ga_ls8c_ard_3-0-0_105070_2014-03-14_final
2014-03-15 09:52:18	ga_ls8c_ard_3-0-0_096070_2014-03-15_final
2014-03-17 11:18:47	ga_ls8c_ard_3-0-0_110070_2014-03-17_final
2014-03-18 10:23:09	ga_ls8c_ard_3-0-0_101070_2014-03-18_final
2014-04-13 10:59:48	ga_ls8c_ard_3-0-0_107070_2014-04-13_final
2014-04-14 10:04:09	ga_ls8c_ard_3-0-0_098070_2014-04-14_final
2014-04-15 10:47:23	ga_ls8c_ard_3-0-0_105070_2014-04-15_final
2014-04-16 09:51:44	ga_ls8c_ard_3-0-0_096070_2014-04-16_final
2014-04-16 11:30:37	ga_ls8c_ard_3-0-0_112070_2014-04-16_final
2014-04-17 10:34:58	ga_ls8c_ard_3-0-0_103070_2014-04-17_final
2014-04-18 11:18:14	ga_ls8c_ard_3-0-0_110070_2014-04-18_final
2014-04-19 10:22:36	ga_ls8c_ard_3-0-0_101070_2014-04-19_final
2014-04-20 11:05:51	ga_ls8c_ard_3-0-0_108070_2014-04-20_final
2014-04-21 10:10:13	ga_ls8c_ard_3-0-0_099070_2014-04-21_final
2014-04-22 10:53:28	ga_ls8c_ard_3-0-0_106070_2014-04-22_final
2014-05-01 10:47:09	ga_ls8c_ard_3-0-0_105070_2014-05-01_final
2014-05-02 09:51:30	ga_ls8c_ard_3-0-0_096070_2014-05-02_final
2014-05-03 10:34:45	ga_ls8c_ard_3-0-0_103070_2014-05-03_final
2014-05-31 10:59:22	ga_ls8c_ard_3-0-0_107070_2014-05-31_final
2014-06-08 10:09:36	ga_ls8c_ard_3-0-0_099069_2014-06-08_final
2014-06-08 10:10:00	ga_ls8c_ard_3-0-0_099070_2014-06-08_final
2014-06-09 10:52:52	ga_ls8c_ard_3-0-0_106069_2014-06-09_final
2014-06-09 10:53:16	ga_ls8c_ard_3-0-0_106070_2014-06-09_final
2021-01-06 09:45:51	ga_ls8c_ard_3-2-0_095070_2021-01-06_final
2021-01-06 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-01-06_final
2021-01-06 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-01-06_final
2021-01-07 10:28:42	ga_ls8c_ard_3-2-0_102069_2021-01-07_final
2021-01-07 10:29:06	ga_ls8c_ard_3-2-0_102070_2021-01-07_final
2021-01-31 11:18:03	ga_ls8c_ard_3-2-0_110069_2021-01-31_final
2021-01-31 11:18:26	ga_ls8c_ard_3-2-0_110070_2021-01-31_final
2021-02-01 10:22:25	ga_ls8c_ard_3-2-0_101069_2021-02-01_final
2021-02-01 10:22:49	ga_ls8c_ard_3-2-0_101070_2021-02-01_final
2021-02-02 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-02-02_final
2021-02-03 10:10:27	ga_ls8c_ard_3-2-0_099070_2021-02-03_final
2021-03-20 11:17:44	ga_ls8c_ard_3-2-0_110069_2021-03-20_final
2021-03-20 11:18:08	ga_ls8c_ard_3-2-0_110070_2021-03-20_final
2021-03-21 10:22:06	ga_ls8c_ard_3-2-0_101069_2021-03-21_final
2021-03-21 10:22:30	ga_ls8c_ard_3-2-0_101070_2021-03-21_final
2021-03-22 11:05:22	ga_ls8c_ard_3-2-0_108069_2021-03-22_final
2021-03-22 11:05:46	ga_ls8c_ard_3-2-0_108070_2021-03-22_final
2021-03-23 10:10:08	ga_ls8c_ard_3-2-0_099070_2021-03-23_final
2021-03-24 10:53:24	ga_ls8c_ard_3-2-0_106070_2021-03-24_final
2021-03-25 09:57:22	ga_ls8c_ard_3-2-0_097069_2021-03-25_final
2021-03-25 09:57:46	ga_ls8c_ard_3-2-0_097070_2021-03-25_final
2021-03-26 10:40:38	ga_ls8c_ard_3-2-0_104069_2021-03-26_final
2021-03-26 10:41:02	ga_ls8c_ard_3-2-0_104070_2021-03-26_final
2021-03-27 09:45:24	ga_ls8c_ard_3-2-0_095070_2021-03-27_final
2021-03-27 11:24:17	ga_ls8c_ard_3-2-0_111070_2021-03-27_final
2021-03-28 10:28:40	ga_ls8c_ard_3-2-0_102070_2021-03-28_final
2021-03-29 11:11:31	ga_ls8c_ard_3-2-0_109069_2021-03-29_final
2021-03-29 11:11:55	ga_ls8c_ard_3-2-0_109070_2021-03-29_final
2021-03-30 10:15:54	ga_ls8c_ard_3-2-0_100069_2021-03-30_final
2021-03-30 10:16:17	ga_ls8c_ard_3-2-0_100070_2021-03-30_final
2021-04-01 10:03:31	ga_ls8c_ard_3-2-0_098069_2021-04-01_final
2021-04-01 10:03:55	ga_ls8c_ard_3-2-0_098070_2021-04-01_final
2021-04-04 10:34:48	ga_ls8c_ard_3-2-0_103070_2021-04-04_final
2021-04-05 11:17:40	ga_ls8c_ard_3-2-0_110069_2021-04-05_final
2021-04-05 11:18:04	ga_ls8c_ard_3-2-0_110070_2021-04-05_final
2021-04-06 10:22:02	ga_ls8c_ard_3-2-0_101069_2021-04-06_final
2021-04-06 10:22:26	ga_ls8c_ard_3-2-0_101070_2021-04-06_final
2021-04-07 11:05:18	ga_ls8c_ard_3-2-0_108069_2021-04-07_final
2021-04-07 11:05:41	ga_ls8c_ard_3-2-0_108070_2021-04-07_final
2021-04-08 10:09:40	ga_ls8c_ard_3-2-0_099069_2021-04-08_final
2021-04-08 10:10:04	ga_ls8c_ard_3-2-0_099070_2021-04-08_final
2021-04-09 10:53:19	ga_ls8c_ard_3-2-0_106070_2021-04-09_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