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
2013-04-09 10:24:46	ga_ls8c_ard_3-0-0_101070_2013-04-09_final
2013-04-11 10:08:14	ga_ls8c_ard_3-0-0_098070_2013-04-11_final
2013-04-12 10:49:20	ga_ls8c_ard_3-0-0_105070_2013-04-12_final
2013-04-13 09:53:35	ga_ls8c_ard_3-0-0_096070_2013-04-13_final
2013-06-27 11:14:05	ga_ls8c_ard_3-0-0_109070_2013-06-27_final
2013-06-29 11:01:44	ga_ls8c_ard_3-0-0_107070_2013-06-29_final
2013-06-30 10:05:43	ga_ls8c_ard_3-0-0_098069_2013-06-30_final
2013-06-30 10:06:07	ga_ls8c_ard_3-0-0_098070_2013-06-30_final
2013-11-01 10:30:36	ga_ls8c_ard_3-0-0_102070_2013-11-01_final
2013-11-02 11:13:52	ga_ls8c_ard_3-0-0_109070_2013-11-02_final
2013-11-04 11:01:31	ga_ls8c_ard_3-0-0_107070_2013-11-04_final
2013-11-05 10:05:53	ga_ls8c_ard_3-0-0_098070_2013-11-05_final
2013-11-06 10:49:09	ga_ls8c_ard_3-0-0_105070_2013-11-06_final
2013-11-07 09:53:32	ga_ls8c_ard_3-0-0_096070_2013-11-07_final
2013-11-08 10:36:24	ga_ls8c_ard_3-0-0_103069_2013-11-08_final
2013-11-08 10:36:47	ga_ls8c_ard_3-0-0_103070_2013-11-08_final
2013-11-09 11:20:03	ga_ls8c_ard_3-0-0_110070_2013-11-09_final
2013-11-10 10:24:26	ga_ls8c_ard_3-0-0_101070_2013-11-10_final
2013-11-11 11:07:41	ga_ls8c_ard_3-0-0_108070_2013-11-11_final
2014-07-25 11:05:26	ga_ls8c_ard_3-0-0_108069_2014-07-25_final
2014-07-25 11:05:49	ga_ls8c_ard_3-0-0_108070_2014-07-25_final
2014-07-26 10:09:49	ga_ls8c_ard_3-0-0_099069_2014-07-26_final
2014-07-26 10:10:13	ga_ls8c_ard_3-0-0_099070_2014-07-26_final
2014-07-27 10:53:06	ga_ls8c_ard_3-0-0_106069_2014-07-27_final
2014-07-27 10:53:30	ga_ls8c_ard_3-0-0_106070_2014-07-27_final
2014-10-07 10:03:56	ga_ls8c_ard_3-0-0_098069_2014-10-07_final
2014-10-07 10:04:20	ga_ls8c_ard_3-0-0_098070_2014-10-07_final
2014-10-08 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-10-08_final
2014-10-08 10:47:36	ga_ls8c_ard_3-0-0_105070_2014-10-08_final
2014-10-09 09:51:59	ga_ls8c_ard_3-0-0_096070_2014-10-09_final
2014-10-09 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-10-09_final
2014-10-09 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-10-09_final
2014-10-10 10:35:15	ga_ls8c_ard_3-0-0_103070_2014-10-10_final
2014-10-11 11:18:31	ga_ls8c_ard_3-0-0_110070_2014-10-11_final
2014-10-12 10:22:54	ga_ls8c_ard_3-0-0_101070_2014-10-12_final
2014-10-19 10:28:42	ga_ls8c_ard_3-0-0_102069_2014-10-19_final
2014-10-19 10:29:06	ga_ls8c_ard_3-0-0_102070_2014-10-19_final
2014-10-20 11:11:58	ga_ls8c_ard_3-0-0_109069_2014-10-20_final
2014-10-20 11:12:22	ga_ls8c_ard_3-0-0_109070_2014-10-20_final
2014-10-22 11:00:00	ga_ls8c_ard_3-0-0_107070_2014-10-22_final
2014-10-23 10:04:22	ga_ls8c_ard_3-0-0_098070_2014-10-23_final
2023-02-01 11:00:09	ga_ls8c_ard_3-2-1_107070_2023-02-01_final
2023-02-02 10:04:32	ga_ls8c_ard_3-2-1_098070_2023-02-02_final
2023-02-21 10:35:12	ga_ls8c_ard_3-2-1_103070_2023-02-21_final
2023-02-22 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-02-22_final
2023-02-23 10:22:47	ga_ls8c_ard_3-2-1_101070_2023-02-23_final
2023-02-24 11:05:37	ga_ls8c_ard_3-2-1_108069_2023-02-24_final
2023-02-24 11:06:01	ga_ls8c_ard_3-2-1_108070_2023-02-24_final
2023-02-27 09:58:01	ga_ls8c_ard_3-2-1_097070_2023-02-27_final
2023-02-28 10:41:17	ga_ls8c_ard_3-2-1_104070_2023-02-28_final
2023-03-17 11:24:26	ga_ls8c_ard_3-2-1_111070_2023-03-17_final
2023-03-18 10:28:48	ga_ls8c_ard_3-2-1_102070_2023-03-18_final
2023-03-19 11:12:03	ga_ls8c_ard_3-2-1_109070_2023-03-19_final
2023-03-23 10:46:51	ga_ls8c_ard_3-2-1_105069_2023-03-23_final
2023-03-23 10:47:15	ga_ls8c_ard_3-2-1_105070_2023-03-23_final
2023-03-24 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-03-24_final
2023-03-25 10:34:53	ga_ls8c_ard_3-2-1_103070_2023-03-25_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-03-27 10:22:31	ga_ls8c_ard_3-2-1_101070_2023-03-27_final
2023-03-28 11:05:46	ga_ls8c_ard_3-2-1_108070_2023-03-28_final
2023-03-29 10:10:08	ga_ls8c_ard_3-2-1_099070_2023-03-29_final
2023-03-30 10:53:23	ga_ls8c_ard_3-2-1_106070_2023-03-30_final
2023-03-31 09:57:21	ga_ls8c_ard_3-2-1_097069_2023-03-31_final
2023-03-31 09:57:45	ga_ls8c_ard_3-2-1_097070_2023-03-31_final
2023-04-01 10:41:00	ga_ls8c_ard_3-2-1_104070_2023-04-01_final
2023-04-02 11:24:15	ga_ls8c_ard_3-2-1_111070_2023-04-02_final
2023-04-03 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-04-03_final
2023-04-04 11:11:51	ga_ls8c_ard_3-2-1_109070_2023-04-04_final
2023-04-06 10:59:27	ga_ls8c_ard_3-2-1_107070_2023-04-06_final
2023-04-07 10:03:48	ga_ls8c_ard_3-2-1_098070_2023-04-07_final
2023-04-08 10:47:02	ga_ls8c_ard_3-2-1_105070_2023-04-08_final
2023-04-09 09:51:24	ga_ls8c_ard_3-2-1_096070_2023-04-09_final
2023-04-10 10:34:38	ga_ls8c_ard_3-2-1_103070_2023-04-10_final
2023-04-11 11:17:52	ga_ls8c_ard_3-2-1_110070_2023-04-11_final
2023-04-12 10:21:51	ga_ls8c_ard_3-2-1_101069_2023-04-12_final
2023-04-12 10:22:15	ga_ls8c_ard_3-2-1_101070_2023-04-12_final
2023-04-13 11:05:30	ga_ls8c_ard_3-2-1_108070_2023-04-13_final
2023-04-14 10:09:53	ga_ls8c_ard_3-2-1_099070_2023-04-14_final
2023-04-19 10:28:23	ga_ls8c_ard_3-2-1_102070_2023-04-19_final
2023-04-20 11:11:38	ga_ls8c_ard_3-2-1_109070_2023-04-20_final
2023-04-24 10:46:56	ga_ls8c_ard_3-2-1_105070_2023-04-24_final
2023-04-27 11:17:49	ga_ls8c_ard_3-2-1_110070_2023-04-27_final
2023-04-29 11:05:26	ga_ls8c_ard_3-2-1_108070_2023-04-29_final
2023-04-30 10:09:49	ga_ls8c_ard_3-2-1_099070_2023-04-30_final
2023-05-01 10:53:04	ga_ls8c_ard_3-2-1_106070_2023-05-01_final
2023-05-02 09:57:26	ga_ls8c_ard_3-2-1_097070_2023-05-02_final
2023-05-03 10:40:41	ga_ls8c_ard_3-2-1_104070_2023-05-03_final
2023-05-12 10:34:21	ga_ls8c_ard_3-2-1_103070_2023-05-12_final
2023-05-13 11:17:36	ga_ls8c_ard_3-2-1_110070_2023-05-13_final
2023-05-14 10:21:58	ga_ls8c_ard_3-2-1_101070_2023-05-14_final
2023-05-15 11:05:13	ga_ls8c_ard_3-2-1_108070_2023-05-15_final
2023-05-16 10:09:36	ga_ls8c_ard_3-2-1_099070_2023-05-16_final
2023-05-17 10:52:51	ga_ls8c_ard_3-2-1_106070_2023-05-17_final
2023-05-18 09:56:49	ga_ls8c_ard_3-2-1_097069_2023-05-18_final
2023-05-18 09:57:13	ga_ls8c_ard_3-2-1_097070_2023-05-18_final
2024-04-24 10:59:13	ga_ls8c_ard_3-2-1_107070_2024-04-24_final
2024-04-26 10:46:51	ga_ls8c_ard_3-2-1_105070_2024-04-26_final
2024-04-27 09:51:12	ga_ls8c_ard_3-2-1_096070_2024-04-27_final
2024-04-28 10:34:27	ga_ls8c_ard_3-2-1_103070_2024-04-28_final
2024-05-05 10:40:33	ga_ls8c_ard_3-2-1_104070_2024-05-05_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