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
2013-11-17 10:29:45	ga_ls8c_ard_3-0-0_102068_2013-11-17_final
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2013-11-18 09:34:07	ga_ls8c_ard_3-0-0_093068_2013-11-18_final
2013-11-20 12:39:05	ga_ls8c_ard_3-2-1_123067_2013-11-20_final
2013-11-29 12:32:54	ga_ls8c_ard_3-2-1_122067_2013-11-29_final
2013-11-30 11:37:16	ga_ls8c_ard_3-0-0_113067_2013-11-30_final
2013-12-02 09:46:02	ga_ls8c_ard_3-0-0_095067_2013-12-02_final
2013-12-11 09:39:49	ga_ls8c_ard_3-0-0_094067_2013-12-11_final
2013-12-11 11:18:42	ga_ls8c_ard_3-0-0_110067_2013-12-11_final
2013-12-11 11:19:06	ga_ls8c_ard_3-0-0_110068_2013-12-11_final
2013-12-13 09:27:26	ga_ls8c_ard_3-0-0_092067_2013-12-12_final
2014-01-15 10:10:17	ga_ls8c_ard_3-0-0_099067_2014-01-15_final
2014-01-15 10:10:41	ga_ls8c_ard_3-0-0_099068_2014-01-15_final
2014-01-16 10:53:32	ga_ls8c_ard_3-0-0_106067_2014-01-16_final
2014-01-17 11:36:48	ga_ls8c_ard_3-0-0_113067_2014-01-17_final
2014-01-20 10:29:13	ga_ls8c_ard_3-0-0_102068_2014-01-20_final
2014-01-21 09:33:11	ga_ls8c_ard_3-0-0_093067_2014-01-21_final
2014-02-03 10:41:28	ga_ls8c_ard_3-0-0_104068_2014-02-03_final
2014-02-04 11:24:19	ga_ls8c_ard_3-0-0_111067_2014-02-04_final
2014-02-05 10:28:41	ga_ls8c_ard_3-0-0_102067_2014-02-05_final
2014-02-05 10:29:05	ga_ls8c_ard_3-0-0_102068_2014-02-05_final
2014-02-06 09:33:03	ga_ls8c_ard_3-0-0_093067_2014-02-06_final
2014-02-11 09:51:29	ga_ls8c_ard_3-0-0_096067_2014-02-11_final
2014-02-12 10:35:07	ga_ls8c_ard_3-0-0_103068_2014-02-12_final
2014-02-13 11:17:58	ga_ls8c_ard_3-0-0_110067_2014-02-13_final
2014-03-17 09:38:43	ga_ls8c_ard_3-0-0_094067_2014-03-17_final
2014-03-19 09:26:19	ga_ls8c_ard_3-0-0_092067_2014-03-18_final
2014-04-29 10:58:21	ga_ls8c_ard_3-0-0_107067_2014-04-29_final
2014-05-11 09:44:00	ga_ls8c_ard_3-0-0_095067_2014-05-11_final
2014-05-11 11:22:53	ga_ls8c_ard_3-0-0_111067_2014-05-11_final
2014-05-23 10:08:37	ga_ls8c_ard_3-0-0_099067_2014-05-23_final
2014-05-23 10:09:01	ga_ls8c_ard_3-0-0_099068_2014-05-23_final
2014-05-24 10:51:53	ga_ls8c_ard_3-0-0_106067_2014-05-24_final
2014-05-24 10:52:17	ga_ls8c_ard_3-0-0_106068_2014-05-24_final
2014-06-01 10:02:33	ga_ls8c_ard_3-0-0_098067_2014-06-01_final
2014-06-01 10:02:57	ga_ls8c_ard_3-0-0_098068_2014-06-01_final
2014-06-01 11:41:26	ga_ls8c_ard_3-0-0_114067_2014-06-01_final
2014-06-02 10:46:13	ga_ls8c_ard_3-0-0_105068_2014-06-02_final
2014-06-10 09:56:27	ga_ls8c_ard_3-0-0_097067_2014-06-10_final
2014-06-10 09:56:51	ga_ls8c_ard_3-0-0_097068_2014-06-10_final
2014-06-11 10:40:07	ga_ls8c_ard_3-0-0_104068_2014-06-11_final
2014-06-12 09:44:06	ga_ls8c_ard_3-0-0_095067_2014-06-12_final
2018-02-19 10:58:21	ga_ls8c_ard_3-0-0_107067_2018-02-19_final
2018-02-20 10:02:43	ga_ls8c_ard_3-0-0_098067_2018-02-20_final
2018-02-20 11:41:37	ga_ls8c_ard_3-0-0_114067_2018-02-20_final
2018-02-21 10:45:59	ga_ls8c_ard_3-0-0_105067_2018-02-21_final
2018-02-21 10:46:23	ga_ls8c_ard_3-0-0_105068_2018-02-21_final
2018-02-22 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-02-22_final
2018-02-22 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-02-22_final
2018-02-27 10:08:51	ga_ls8c_ard_3-0-0_099067_2018-02-27_final
2018-02-28 10:52:06	ga_ls8c_ard_3-0-0_106067_2018-02-28_final
2018-03-01 09:56:28	ga_ls8c_ard_3-1-0_097067_2018-03-01_final
2018-03-01 09:56:52	ga_ls8c_ard_3-0-0_097068_2018-03-01_final
2018-03-01 11:35:21	ga_ls8c_ard_3-0-0_113067_2018-03-01_final
2018-03-18 10:39:35	ga_ls8c_ard_3-0-0_104067_2018-03-18_final
2018-03-19 09:43:57	ga_ls8c_ard_3-0-0_095067_2018-03-19_final
2018-03-19 11:22:50	ga_ls8c_ard_3-0-0_111067_2018-03-19_final
2018-03-20 10:27:12	ga_ls8c_ard_3-0-0_102067_2018-03-20_final
2018-03-20 10:27:36	ga_ls8c_ard_3-0-0_102068_2018-03-20_final
2018-03-21 09:31:35	ga_ls8c_ard_3-0-0_093067_2018-03-21_final
2018-05-18 10:08:07	ga_ls8c_ard_3-0-0_099067_2018-05-18_final
2018-05-19 10:51:21	ga_ls8c_ard_3-0-0_106067_2018-05-19_final
2018-05-20 09:55:43	ga_ls8c_ard_3-0-0_097067_2018-05-20_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-05-21 10:38:58	ga_ls8c_ard_3-0-0_104067_2018-05-21_final
2018-05-22 09:43:20	ga_ls8c_ard_3-0-0_095067_2018-05-22_final
2018-05-22 11:22:13	ga_ls8c_ard_3-0-0_111067_2018-05-22_final
2018-05-23 10:26:35	ga_ls8c_ard_3-0-0_102067_2018-05-23_final
2018-05-24 09:30:57	ga_ls8c_ard_3-0-0_093067_2018-05-24_final
2018-06-06 10:38:48	ga_ls8c_ard_3-0-0_104067_2018-06-06_final
2018-06-06 10:39:12	ga_ls8c_ard_3-0-0_104068_2018-06-06_final
2018-06-07 09:43:12	ga_ls8c_ard_3-0-0_095067_2018-06-07_final
2018-06-07 11:22:05	ga_ls8c_ard_3-0-0_111067_2018-06-07_final
2018-06-07 11:22:29	ga_ls8c_ard_3-0-0_111068_2018-06-07_final
2018-06-08 10:26:28	ga_ls8c_ard_3-0-0_102067_2018-06-08_final
2018-06-08 10:26:52	ga_ls8c_ard_3-0-0_102068_2018-06-08_final
2018-06-09 09:30:52	ga_ls8c_ard_3-0-0_093067_2018-06-09_final
2018-06-09 09:31:16	ga_ls8c_ard_3-0-0_093068_2018-06-09_final
2018-06-19 10:08:04	ga_ls8c_ard_3-0-0_099067_2018-06-19_final
2018-06-19 10:08:28	ga_ls8c_ard_3-0-0_099068_2018-06-19_final
2018-06-20 10:51:20	ga_ls8c_ard_3-0-0_106067_2018-06-20_final
2018-06-20 10:51:44	ga_ls8c_ard_3-0-0_106068_2018-06-20_final
2018-06-21 09:55:43	ga_ls8c_ard_3-0-0_097067_2018-06-21_final
2018-06-21 09:56:07	ga_ls8c_ard_3-0-0_097068_2018-06-21_final
2018-06-21 11:34:37	ga_ls8c_ard_3-0-0_113067_2018-06-21_final
2018-06-22 10:39:00	ga_ls8c_ard_3-0-0_104067_2018-06-22_final
2018-06-22 10:39:24	ga_ls8c_ard_3-0-0_104068_2018-06-22_final
2018-06-23 09:43:23	ga_ls8c_ard_3-0-0_095067_2018-06-23_final
2018-06-23 11:22:16	ga_ls8c_ard_3-0-0_111067_2018-06-23_final
2018-06-23 11:22:40	ga_ls8c_ard_3-0-0_111068_2018-06-23_final
2018-06-24 10:26:39	ga_ls8c_ard_3-0-0_102067_2018-06-24_final
2018-06-24 10:27:03	ga_ls8c_ard_3-0-0_102068_2018-06-24_final
2018-06-25 09:31:03	ga_ls8c_ard_3-0-0_093067_2018-06-25_final
2018-06-25 09:31:27	ga_ls8c_ard_3-0-0_093068_2018-06-25_final
2018-07-05 10:08:13	ga_ls8c_ard_3-0-0_099067_2018-07-05_final
2018-07-05 10:08:37	ga_ls8c_ard_3-0-0_099068_2018-07-05_final
2018-07-06 10:51:29	ga_ls8c_ard_3-0-0_106067_2018-07-06_final
2018-07-06 10:51:53	ga_ls8c_ard_3-0-0_106068_2018-07-06_final
2018-07-07 09:55:52	ga_ls8c_ard_3-0-0_097067_2018-07-07_final
2018-07-07 09:56:16	ga_ls8c_ard_3-0-0_097068_2018-07-07_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