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
2013-11-04 11:01:31	ga_ls8c_ard_3-0-0_107070_2013-11-04_final
2013-11-05 10:05:30	ga_ls8c_ard_3-0-0_098069_2013-11-05_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
2013-11-30 09:59:11	ga_ls8c_ard_3-0-0_097069_2013-11-30_final
2013-12-01 10:42:27	ga_ls8c_ard_3-0-0_104069_2013-12-01_final
2013-12-01 10:42:51	ga_ls8c_ard_3-0-0_104070_2013-12-01_final
2013-12-02 11:25:43	ga_ls8c_ard_3-0-0_111069_2013-12-02_final
2013-12-02 11:26:07	ga_ls8c_ard_3-0-0_111070_2013-12-02_final
2013-12-03 10:30:29	ga_ls8c_ard_3-0-0_102070_2013-12-03_final
2013-12-15 10:55:08	ga_ls8c_ard_3-0-0_106070_2013-12-15_final
2013-12-16 09:59:30	ga_ls8c_ard_3-0-0_097070_2013-12-16_final
2013-12-17 10:42:20	ga_ls8c_ard_3-0-0_104069_2013-12-17_final
2013-12-17 10:42:44	ga_ls8c_ard_3-0-0_104070_2013-12-17_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
2014-02-03 10:41:52	ga_ls8c_ard_3-0-0_104069_2014-02-03_final
2014-02-06 11:13:07	ga_ls8c_ard_3-0-0_109070_2014-02-06_final
2018-06-30 09:50:26	ga_ls8c_ard_3-0-0_096069_2018-06-30_final
2018-06-30 09:50:50	ga_ls8c_ard_3-0-0_096070_2018-06-30_final
2018-06-30 11:29:19	ga_ls8c_ard_3-0-0_112069_2018-06-30_final
2018-06-30 11:29:43	ga_ls8c_ard_3-0-0_112070_2018-06-30_final
2018-07-01 10:33:42	ga_ls8c_ard_3-0-0_103069_2018-07-01_final
2018-07-01 10:34:06	ga_ls8c_ard_3-0-0_103070_2018-07-01_final
2018-07-02 11:16:58	ga_ls8c_ard_3-0-0_110069_2018-07-02_final
2018-07-02 11:17:22	ga_ls8c_ard_3-0-0_110070_2018-07-02_final
2018-07-03 10:21:22	ga_ls8c_ard_3-0-0_101069_2018-07-03_final
2018-07-03 10:21:46	ga_ls8c_ard_3-0-0_101070_2018-07-03_final
2020-03-15 09:51:15	ga_ls8c_ard_3-1-0_096069_2020-03-15_final
2020-03-15 09:51:39	ga_ls8c_ard_3-1-0_096070_2020-03-15_final
2020-03-15 11:30:32	ga_ls8c_ard_3-1-0_112070_2020-03-15_final
2020-03-16 10:34:54	ga_ls8c_ard_3-1-0_103070_2020-03-16_final
2020-03-17 11:17:45	ga_ls8c_ard_3-1-0_110069_2020-03-17_final
2020-03-17 11:18:09	ga_ls8c_ard_3-1-0_110070_2020-03-17_final
2020-03-18 10:22:31	ga_ls8c_ard_3-1-0_101070_2020-03-18_final
2020-05-02 09:50:51	ga_ls8c_ard_3-1-0_096069_2020-05-02_final
2020-05-02 09:51:14	ga_ls8c_ard_3-1-0_096070_2020-05-02_final
2020-05-02 11:29:44	ga_ls8c_ard_3-1-0_112069_2020-05-02_final
2020-05-02 11:30:07	ga_ls8c_ard_3-1-0_112070_2020-05-02_final
2020-05-03 10:34:06	ga_ls8c_ard_3-1-0_103069_2020-05-03_final
2020-05-03 10:34:30	ga_ls8c_ard_3-1-0_103070_2020-05-03_final
2020-05-04 11:17:45	ga_ls8c_ard_3-1-0_110070_2020-05-04_final
2020-05-05 10:21:43	ga_ls8c_ard_3-1-0_101069_2020-05-05_final
2020-05-05 10:22:07	ga_ls8c_ard_3-1-0_101070_2020-05-05_final
2022-02-11 10:28:34	ga_ls8c_ard_3-2-1_102069_2022-02-11_final
2022-02-12 11:11:50	ga_ls8c_ard_3-2-1_109069_2022-02-12_final
2022-02-12 11:12:14	ga_ls8c_ard_3-2-1_109070_2022-02-12_final
2022-02-14 10:59:27	ga_ls8c_ard_3-2-1_107069_2022-02-14_final
2022-02-14 10:59:51	ga_ls8c_ard_3-2-1_107070_2022-02-14_final
2022-02-16 10:47:05	ga_ls8c_ard_3-2-1_105069_2022-02-16_final
2022-02-16 10:47:28	ga_ls8c_ard_3-2-1_105070_2022-02-16_final
2022-02-17 09:51:51	ga_ls8c_ard_3-2-1_096070_2022-02-17_final
2022-02-22 10:09:57	ga_ls8c_ard_3-2-1_099069_2022-02-22_final
2022-02-22 10:10:21	ga_ls8c_ard_3-2-1_099070_2022-02-22_final
2022-02-23 10:53:13	ga_ls8c_ard_3-2-1_106069_2022-02-23_final
2022-02-23 10:53:37	ga_ls8c_ard_3-2-1_106070_2022-02-23_final
2022-02-24 09:57:36	ga_ls8c_ard_3-2-1_097069_2022-02-24_final
2022-02-24 09:58:00	ga_ls8c_ard_3-2-1_097070_2022-02-24_final
2022-03-08 10:22:17	ga_ls8c_ard_3-2-1_101069_2022-03-08_final
2022-03-08 10:22:41	ga_ls8c_ard_3-2-1_101070_2022-03-08_final
2022-03-09 11:05:32	ga_ls8c_ard_3-2-1_108069_2022-03-09_final
2022-03-09 11:05:56	ga_ls8c_ard_3-2-1_108070_2022-03-09_final
2022-03-10 10:09:54	ga_ls8c_ard_3-2-1_099069_2022-03-10_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-03-11 10:53:10	ga_ls8c_ard_3-2-1_106069_2022-03-11_final
2022-03-11 10:53:34	ga_ls8c_ard_3-2-1_106070_2022-03-11_final
2022-03-12 09:57:32	ga_ls8c_ard_3-2-1_097069_2022-03-12_final
2022-03-12 09:57:56	ga_ls8c_ard_3-2-1_097070_2022-03-12_final
2022-03-26 10:10:07	ga_ls8c_ard_3-2-1_099070_2022-03-26_final
2022-03-27 10:52:58	ga_ls8c_ard_3-2-1_106069_2022-03-27_final
2022-03-27 10:53:22	ga_ls8c_ard_3-2-1_106070_2022-03-27_final
2022-03-28 09:57:20	ga_ls8c_ard_3-2-1_097069_2022-03-28_final
2022-03-28 09:57:44	ga_ls8c_ard_3-2-1_097070_2022-03-28_final
2022-03-29 10:40:35	ga_ls8c_ard_3-2-1_104069_2022-03-29_final
2022-03-29 10:40:58	ga_ls8c_ard_3-2-1_104070_2022-03-29_final
2022-03-30 11:24:14	ga_ls8c_ard_3-2-1_111070_2022-03-30_final
2022-05-15 09:57:30	ga_ls8c_ard_3-2-1_097069_2022-05-15_final
2022-05-15 09:57:54	ga_ls8c_ard_3-2-1_097070_2022-05-15_final
2022-05-16 10:40:46	ga_ls8c_ard_3-2-1_104069_2022-05-16_final
2022-05-16 10:41:10	ga_ls8c_ard_3-2-1_104070_2022-05-16_final
2022-05-17 11:24:02	ga_ls8c_ard_3-2-1_111069_2022-05-17_final
2022-05-17 11:24:26	ga_ls8c_ard_3-2-1_111070_2022-05-17_final
2022-05-18 10:28:25	ga_ls8c_ard_3-2-1_102069_2022-05-18_final
2022-05-18 10:28:48	ga_ls8c_ard_3-2-1_102070_2022-05-18_final
2022-05-19 11:11:40	ga_ls8c_ard_3-2-1_109069_2022-05-19_final
2022-05-19 11:12:04	ga_ls8c_ard_3-2-1_109070_2022-05-19_final
2022-07-15 11:05:46	ga_ls8c_ard_3-2-1_108069_2022-07-15_final
2022-07-15 11:06:10	ga_ls8c_ard_3-2-1_108070_2022-07-15_final
2022-07-16 10:10:09	ga_ls8c_ard_3-2-1_099069_2022-07-16_final
2022-07-16 10:10:33	ga_ls8c_ard_3-2-1_099070_2022-07-16_final
2022-07-17 10:53:25	ga_ls8c_ard_3-2-1_106069_2022-07-17_final
2022-07-17 10:53:49	ga_ls8c_ard_3-2-1_106070_2022-07-17_final
2022-07-18 09:57:49	ga_ls8c_ard_3-2-1_097069_2022-07-18_final
2022-07-18 09:58:13	ga_ls8c_ard_3-2-1_097070_2022-07-18_final
2022-07-19 10:41:06	ga_ls8c_ard_3-2-1_104069_2022-07-19_final
2022-07-19 10:41:30	ga_ls8c_ard_3-2-1_104070_2022-07-19_final
2022-07-22 11:12:02	ga_ls8c_ard_3-2-1_109069_2022-07-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years