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 11:07:33	ga_ls8c_ard_3-0-0_108070_2013-11-27_final
2013-12-01 10:42:51	ga_ls8c_ard_3-0-0_104070_2013-12-01_final
2013-12-19 10:30:20	ga_ls8c_ard_3-0-0_102070_2013-12-19_final
2013-12-20 11:13:35	ga_ls8c_ard_3-0-0_109070_2013-12-20_final
2014-01-08 10:05:27	ga_ls8c_ard_3-0-0_098070_2014-01-08_final
2014-01-09 10:48:41	ga_ls8c_ard_3-0-0_105070_2014-01-09_final
2014-01-11 10:36:17	ga_ls8c_ard_3-0-0_103070_2014-01-11_final
2014-06-01 10:03:45	ga_ls8c_ard_3-0-0_098070_2014-06-01_final
2014-06-02 10:47:01	ga_ls8c_ard_3-0-0_105070_2014-06-02_final
2014-06-03 09:51:25	ga_ls8c_ard_3-0-0_096070_2014-06-03_final
2014-06-03 11:30:18	ga_ls8c_ard_3-0-0_112070_2014-06-03_final
2014-06-04 10:34:41	ga_ls8c_ard_3-0-0_103070_2014-06-04_final
2014-06-26 09:57:41	ga_ls8c_ard_3-0-0_097070_2014-06-26_final
2014-06-27 10:40:56	ga_ls8c_ard_3-0-0_104070_2014-06-27_final
2014-06-28 09:45:20	ga_ls8c_ard_3-0-0_095070_2014-06-28_final
2014-06-28 11:24:13	ga_ls8c_ard_3-0-0_111070_2014-06-28_final
2014-06-29 10:28:36	ga_ls8c_ard_3-0-0_102070_2014-06-29_final
2015-01-14 10:35:05	ga_ls8c_ard_3-0-0_103070_2015-01-14_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-01-16 10:22:43	ga_ls8c_ard_3-0-0_101070_2015-01-16_final
2015-01-17 11:05:58	ga_ls8c_ard_3-0-0_108070_2015-01-17_final
2015-01-18 10:10:20	ga_ls8c_ard_3-0-0_099070_2015-01-18_final
2015-01-19 10:53:35	ga_ls8c_ard_3-0-0_106070_2015-01-19_final
2015-02-16 11:18:07	ga_ls8c_ard_3-0-0_110070_2015-02-16_final
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-02-18 11:05:46	ga_ls8c_ard_3-0-0_108070_2015-02-18_final
2015-02-19 10:10:08	ga_ls8c_ard_3-0-0_099070_2015-02-19_final
2015-02-20 10:53:24	ga_ls8c_ard_3-0-0_106070_2015-02-20_final
2015-02-28 10:03:55	ga_ls8c_ard_3-0-0_098070_2015-02-28_final
2015-03-01 10:47:11	ga_ls8c_ard_3-0-0_105070_2015-03-01_final
2015-03-19 10:34:38	ga_ls8c_ard_3-0-0_103070_2015-03-19_final
2015-03-20 11:17:53	ga_ls8c_ard_3-0-0_110070_2015-03-20_final
2015-03-21 10:22:15	ga_ls8c_ard_3-0-0_101070_2015-03-21_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 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2019-07-26 09:57:58	ga_ls8c_ard_3-1-0_097070_2019-07-26_final
2019-07-27 10:41:15	ga_ls8c_ard_3-1-0_104070_2019-07-27_final
2019-07-28 09:45:38	ga_ls8c_ard_3-1-0_095070_2019-07-28_final
2019-07-28 11:24:31	ga_ls8c_ard_3-1-0_111070_2019-07-28_final
2019-07-29 10:28:54	ga_ls8c_ard_3-1-0_102070_2019-07-29_final
2019-08-28 10:41:25	ga_ls8c_ard_3-1-0_104070_2019-08-28_final
2019-08-29 09:45:48	ga_ls8c_ard_3-1-0_095070_2019-08-29_final
2019-08-29 11:24:41	ga_ls8c_ard_3-1-0_111070_2019-08-29_final
2019-08-30 10:29:04	ga_ls8c_ard_3-1-0_102070_2019-08-30_final
2019-09-12 09:58:13	ga_ls8c_ard_3-1-0_097070_2019-09-12_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 11:24:45	ga_ls8c_ard_3-1-0_111070_2019-09-14_final
2019-09-15 10:29:08	ga_ls8c_ard_3-1-0_102070_2019-09-15_final
2019-10-24 10:35:27	ga_ls8c_ard_3-1-0_103070_2019-10-24_final
2019-10-25 11:18:42	ga_ls8c_ard_3-1-0_110070_2019-10-25_final
2019-10-26 10:23:05	ga_ls8c_ard_3-1-0_101070_2019-10-26_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 10:47:15	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 09:57:45	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
2023-05-08 10:59:09	ga_ls8c_ard_3-2-1_107070_2023-05-08_final
2023-05-09 10:03:30	ga_ls8c_ard_3-2-1_098070_2023-05-09_final
2023-05-10 10:46:45	ga_ls8c_ard_3-2-1_105070_2023-05-10_final
2023-05-11 09:51:06	ga_ls8c_ard_3-2-1_096070_2023-05-11_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
2023-05-19 10:40:30	ga_ls8c_ard_3-2-1_104070_2023-05-19_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-05-21 10:28:09	ga_ls8c_ard_3-2-1_102070_2023-05-21_final
2023-05-22 11:11:25	ga_ls8c_ard_3-2-1_109070_2023-05-22_final
2023-06-18 10:53:03	ga_ls8c_ard_3-2-1_106070_2023-06-18_final
2023-06-19 09:57:26	ga_ls8c_ard_3-2-1_097070_2023-06-19_final
2023-06-20 10:40:42	ga_ls8c_ard_3-2-1_104070_2023-06-20_final
2023-07-27 10:59:34	ga_ls8c_ard_3-2-1_107070_2023-07-27_final
2023-07-28 10:03:57	ga_ls8c_ard_3-2-1_098070_2023-07-28_final
2023-07-29 10:47:13	ga_ls8c_ard_3-2-1_105070_2023-07-29_final
2023-08-03 11:05:48	ga_ls8c_ard_3-2-1_108070_2023-08-03_final
2023-08-04 10:10:11	ga_ls8c_ard_3-2-1_099070_2023-08-04_final
2023-08-05 10:53:27	ga_ls8c_ard_3-2-1_106070_2023-08-05_final
2023-08-06 09:57:50	ga_ls8c_ard_3-2-1_097070_2023-08-06_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-08 11:24:21	ga_ls8c_ard_3-2-1_111070_2023-08-08_final
2023-08-09 10:28:43	ga_ls8c_ard_3-2-1_102070_2023-08-09_final
2023-08-10 11:11:59	ga_ls8c_ard_3-2-1_109070_2023-08-10_final
2023-08-14 10:47:18	ga_ls8c_ard_3-2-1_105070_2023-08-14_final
2023-08-15 09:51:42	ga_ls8c_ard_3-2-1_096070_2023-08-15_final
2023-08-19 11:05:55	ga_ls8c_ard_3-2-1_108070_2023-08-19_final
2023-08-20 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-08-20_final
2023-08-21 10:53:34	ga_ls8c_ard_3-2-1_106070_2023-08-21_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