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
2014-10-07 10:03:09	ga_ls8c_ard_3-0-0_098067_2014-10-07_final
2014-10-07 10:03:33	ga_ls8c_ard_3-0-0_098068_2014-10-07_final
2014-10-07 11:42:02	ga_ls8c_ard_3-0-0_114067_2014-10-07_final
2014-10-08 10:46:48	ga_ls8c_ard_3-0-0_105068_2014-10-08_final
2014-10-09 09:50:47	ga_ls8c_ard_3-0-0_096067_2014-10-09_final
2014-10-09 11:29:40	ga_ls8c_ard_3-0-0_112067_2014-10-09_final
2014-10-09 11:30:04	ga_ls8c_ard_3-0-0_112068_2014-10-09_final
2014-10-09 13:08:57	ga_ls8c_ard_3-2-1_128068_2014-10-09_interim
2014-11-14 11:04:59	ga_ls8c_ard_3-0-0_108067_2014-11-14_final
2014-11-14 11:05:22	ga_ls8c_ard_3-0-0_108068_2014-11-14_final
2014-11-15 10:09:21	ga_ls8c_ard_3-0-0_099067_2014-11-15_final
2014-11-15 10:09:45	ga_ls8c_ard_3-0-0_099068_2014-11-15_final
2014-11-16 10:52:36	ga_ls8c_ard_3-0-0_106067_2014-11-16_final
2014-11-16 10:53:00	ga_ls8c_ard_3-0-0_106068_2014-11-16_final
2014-11-16 12:31:29	ga_ls8c_ard_3-2-1_122067_2014-11-16_final
2014-12-05 09:44:35	ga_ls8c_ard_3-0-0_095067_2014-12-05_final
2014-12-05 11:23:28	ga_ls8c_ard_3-0-0_111067_2014-12-05_final
2014-12-06 10:27:50	ga_ls8c_ard_3-0-0_102067_2014-12-06_final
2014-12-06 10:28:13	ga_ls8c_ard_3-0-0_102068_2014-12-06_final
2014-12-07 09:32:12	ga_ls8c_ard_3-0-0_093067_2014-12-07_final
2014-12-17 10:09:15	ga_ls8c_ard_3-0-0_099067_2014-12-17_final
2014-12-17 10:09:39	ga_ls8c_ard_3-0-0_099068_2014-12-17_final
2014-12-18 10:52:31	ga_ls8c_ard_3-0-0_106067_2014-12-18_final
2014-12-18 10:52:55	ga_ls8c_ard_3-0-0_106068_2014-12-18_final
2014-12-18 12:31:24	ga_ls8c_ard_3-2-1_122067_2014-12-18_final
2015-04-10 09:56:08	ga_ls8c_ard_3-0-0_097067_2015-04-10_final
2015-04-10 11:35:01	ga_ls8c_ard_3-0-0_113067_2015-04-10_final
2015-04-11 10:39:24	ga_ls8c_ard_3-0-0_104067_2015-04-11_final
2015-04-11 10:39:48	ga_ls8c_ard_3-0-0_104068_2015-04-11_final
2015-04-12 09:43:47	ga_ls8c_ard_3-0-0_095067_2015-04-12_final
2015-04-12 11:22:40	ga_ls8c_ard_3-0-0_111067_2015-04-12_final
2015-04-13 10:27:03	ga_ls8c_ard_3-0-0_102067_2015-04-13_final
2015-04-13 10:27:27	ga_ls8c_ard_3-0-0_102068_2015-04-13_final
2015-04-14 09:31:26	ga_ls8c_ard_3-0-0_093067_2015-04-14_final
2015-04-14 09:31:50	ga_ls8c_ard_3-0-0_093068_2015-04-14_final
2015-05-12 09:55:49	ga_ls8c_ard_3-0-0_097067_2015-05-12_final
2015-05-12 11:34:42	ga_ls8c_ard_3-0-0_113067_2015-05-12_final
2015-05-13 10:39:04	ga_ls8c_ard_3-0-0_104067_2015-05-13_final
2015-05-14 09:43:25	ga_ls8c_ard_3-0-0_095067_2015-05-14_final
2015-05-14 11:22:18	ga_ls8c_ard_3-0-0_111067_2015-05-14_final
2015-05-15 10:26:40	ga_ls8c_ard_3-0-0_102067_2015-05-15_final
2015-05-15 10:27:04	ga_ls8c_ard_3-0-0_102068_2015-05-15_final
2015-05-16 09:31:04	ga_ls8c_ard_3-0-0_093067_2015-05-16_final
2015-05-16 09:31:28	ga_ls8c_ard_3-0-0_093068_2015-05-16_final
2017-04-09 10:33:22	ga_ls8c_ard_3-0-0_103067_2017-04-09_final
2017-04-10 09:37:44	ga_ls8c_ard_3-0-0_094067_2017-04-10_final
2017-04-10 11:16:37	ga_ls8c_ard_3-0-0_110067_2017-04-10_final
2017-04-10 11:17:01	ga_ls8c_ard_3-0-0_110068_2017-04-10_final
2017-04-11 10:20:59	ga_ls8c_ard_3-0-0_101067_2017-04-11_final
2017-04-12 09:25:21	ga_ls8c_ard_3-0-0_092067_2017-04-11_final
2017-05-27 10:33:25	ga_ls8c_ard_3-0-0_103067_2017-05-27_final
2017-05-27 10:33:48	ga_ls8c_ard_3-0-0_103068_2017-05-27_final
2017-05-28 09:37:48	ga_ls8c_ard_3-0-0_094067_2017-05-28_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-05-28 11:17:05	ga_ls8c_ard_3-0-0_110068_2017-05-28_final
2017-05-29 10:21:04	ga_ls8c_ard_3-0-0_101067_2017-05-29_final
2017-05-29 10:21:28	ga_ls8c_ard_3-0-0_101068_2017-05-29_final
2017-05-30 09:25:27	ga_ls8c_ard_3-0-0_092067_2017-05-29_final
2017-05-30 09:25:51	ga_ls8c_ard_3-0-0_092068_2017-05-29_final
2017-07-14 10:33:40	ga_ls8c_ard_3-0-0_103067_2017-07-14_final
2017-07-14 10:34:04	ga_ls8c_ard_3-0-0_103068_2017-07-14_final
2017-07-15 09:38:03	ga_ls8c_ard_3-0-0_094067_2017-07-15_final
2017-07-15 11:16:56	ga_ls8c_ard_3-0-0_110067_2017-07-15_final
2017-07-15 11:17:20	ga_ls8c_ard_3-0-0_110068_2017-07-15_final
2017-07-16 10:21:19	ga_ls8c_ard_3-0-0_101067_2017-07-16_final
2017-07-16 10:21:43	ga_ls8c_ard_3-0-0_101068_2017-07-16_final
2017-07-17 09:25:42	ga_ls8c_ard_3-0-0_092067_2017-07-16_final
2017-07-17 09:26:06	ga_ls8c_ard_3-0-0_092068_2017-07-16_final
2017-11-24 10:52:35	ga_ls8c_ard_3-0-0_106067_2017-11-24_final
2017-11-24 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-11-24_final
2017-11-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2017-11-24_final
2017-11-25 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-11-25_final
2017-11-25 09:57:21	ga_ls8c_ard_3-0-0_097068_2017-11-25_final
2017-11-25 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-11-25_final
2017-12-26 10:52:34	ga_ls8c_ard_3-0-0_106067_2017-12-26_final
2017-12-26 10:52:58	ga_ls8c_ard_3-0-0_106068_2017-12-26_final
2017-12-27 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-12-27_final
2017-12-27 09:57:21	ga_ls8c_ard_3-0-0_097068_2017-12-27_final
2017-12-27 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-12-27_final
2018-04-19 10:39:18	ga_ls8c_ard_3-0-0_104067_2018-04-19_final
2018-04-20 09:43:40	ga_ls8c_ard_3-0-0_095067_2018-04-20_final
2018-04-20 11:22:33	ga_ls8c_ard_3-0-0_111067_2018-04-20_final
2018-04-21 10:26:55	ga_ls8c_ard_3-0-0_102067_2018-04-21_final
2018-04-21 10:27:19	ga_ls8c_ard_3-0-0_102068_2018-04-21_final
2018-04-22 09:31:18	ga_ls8c_ard_3-0-0_093067_2018-04-22_final
2018-04-22 09:31:42	ga_ls8c_ard_3-0-0_093068_2018-04-22_final
2018-06-03 10:07:55	ga_ls8c_ard_3-0-0_099067_2018-06-03_final
2018-06-03 10:08:19	ga_ls8c_ard_3-0-0_099068_2018-06-03_final
2018-06-04 10:51:10	ga_ls8c_ard_3-0-0_106067_2018-06-04_final
2018-06-04 10:51:34	ga_ls8c_ard_3-0-0_106068_2018-06-04_final
2018-06-05 09:55:33	ga_ls8c_ard_3-0-0_097067_2018-06-05_final
2018-06-05 09:55:57	ga_ls8c_ard_3-0-0_097068_2018-06-05_final
2018-06-05 11:34:26	ga_ls8c_ard_3-0-0_113067_2018-06-05_final
2020-02-17 10:09:09	ga_ls8c_ard_3-1-0_099067_2020-02-17_final
2020-02-17 10:09:33	ga_ls8c_ard_3-1-0_099068_2020-02-17_final
2020-02-18 10:52:25	ga_ls8c_ard_3-1-0_106067_2020-02-18_final
2020-02-18 12:31:18	ga_ls8c_ard_3-2-1_122067_2020-02-18_final
2020-05-07 10:08:32	ga_ls8c_ard_3-1-0_099067_2020-05-07_final
2020-05-08 10:51:47	ga_ls8c_ard_3-1-0_106067_2020-05-08_final
2020-05-08 10:52:11	ga_ls8c_ard_3-1-0_106068_2020-05-08_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