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
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2013-11-20 12:39:05	ga_ls8c_ard_3-2-1_123067_2013-11-20_final
2013-11-27 09:27:29	ga_ls8c_ard_3-0-0_092067_2013-11-26_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
2014-01-28 11:18:13	ga_ls8c_ard_3-0-0_110067_2014-01-28_final
2014-01-31 10:10:12	ga_ls8c_ard_3-0-0_099067_2014-01-31_final
2014-02-25 10:03:40	ga_ls8c_ard_3-0-0_098067_2014-02-25_final
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-03-31 11:29:42	ga_ls8c_ard_3-0-0_112067_2014-03-31_final
2014-04-02 09:38:26	ga_ls8c_ard_3-0-0_094067_2014-04-02_final
2014-04-25 09:44:15	ga_ls8c_ard_3-0-0_095067_2014-04-25_final
2014-04-25 11:23:08	ga_ls8c_ard_3-0-0_111067_2014-04-25_final
2014-04-27 09:31:52	ga_ls8c_ard_3-0-0_093067_2014-04-27_final
2014-04-27 11:10:45	ga_ls8c_ard_3-0-0_109067_2014-04-27_final
2014-05-04 11:16:47	ga_ls8c_ard_3-0-0_110067_2014-05-04_final
2014-05-06 09:25:30	ga_ls8c_ard_3-0-0_092067_2014-05-05_final
2014-05-20 09:37:44	ga_ls8c_ard_3-0-0_094067_2014-05-20_final
2014-05-20 11:16:38	ga_ls8c_ard_3-0-0_110067_2014-05-20_final
2014-05-22 09:25:22	ga_ls8c_ard_3-0-0_092067_2014-05-21_final
2014-05-22 11:04:15	ga_ls8c_ard_3-0-0_108067_2014-05-22_final
2014-06-03 09:50:13	ga_ls8c_ard_3-0-0_096067_2014-06-03_final
2014-06-03 11:29:06	ga_ls8c_ard_3-0-0_112067_2014-06-03_final
2014-06-05 09:37:52	ga_ls8c_ard_3-0-0_094067_2014-06-05_final
2014-06-26 09:56:29	ga_ls8c_ard_3-0-0_097067_2014-06-26_final
2014-06-26 11:35:22	ga_ls8c_ard_3-0-0_113067_2014-06-26_final
2014-06-28 09:44:08	ga_ls8c_ard_3-0-0_095067_2014-06-28_final
2014-06-28 11:23:01	ga_ls8c_ard_3-0-0_111067_2014-06-28_final
2014-06-29 10:27:25	ga_ls8c_ard_3-0-0_102067_2014-06-29_final
2014-06-30 09:31:48	ga_ls8c_ard_3-0-0_093067_2014-06-30_final
2014-08-29 09:56:50	ga_ls8c_ard_3-0-0_097067_2014-08-29_final
2014-08-29 11:35:44	ga_ls8c_ard_3-0-0_113067_2014-08-29_final
2014-08-31 09:44:30	ga_ls8c_ard_3-0-0_095067_2014-08-31_final
2014-08-31 11:23:23	ga_ls8c_ard_3-0-0_111067_2014-08-31_final
2014-09-01 10:27:46	ga_ls8c_ard_3-0-0_102067_2014-09-01_final
2014-09-02 09:32:09	ga_ls8c_ard_3-0-0_093067_2014-09-02_final
2014-09-30 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-09-30_final
2014-10-02 09:44:34	ga_ls8c_ard_3-0-0_095067_2014-10-02_final
2014-10-02 11:23:28	ga_ls8c_ard_3-0-0_111067_2014-10-02_final
2014-10-03 10:27:51	ga_ls8c_ard_3-0-0_102067_2014-10-03_final
2014-10-04 09:32:14	ga_ls8c_ard_3-0-0_093067_2014-10-04_final
2014-12-19 09:56:54	ga_ls8c_ard_3-0-0_097067_2014-12-19_final
2014-12-19 11:35:47	ga_ls8c_ard_3-0-0_113067_2014-12-19_final
2014-12-21 09:44:32	ga_ls8c_ard_3-0-0_095067_2014-12-21_final
2014-12-21 11:23:25	ga_ls8c_ard_3-0-0_111067_2014-12-21_final
2014-12-22 10:27:48	ga_ls8c_ard_3-0-0_102067_2014-12-22_final
2014-12-23 09:32:10	ga_ls8c_ard_3-0-0_093067_2014-12-23_final
2015-04-20 10:33:13	ga_ls8c_ard_3-0-0_103067_2015-04-20_final
2015-04-21 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-21_final
2015-04-21 11:16:29	ga_ls8c_ard_3-0-0_110067_2015-04-21_final
2015-04-23 09:25:13	ga_ls8c_ard_3-0-0_092067_2015-04-22_final
2015-06-07 10:33:03	ga_ls8c_ard_3-0-0_103067_2015-06-07_final
2015-06-08 09:37:27	ga_ls8c_ard_3-0-0_094067_2015-06-08_final
2015-06-08 11:16:20	ga_ls8c_ard_3-0-0_110067_2015-06-08_final
2015-06-09 10:20:43	ga_ls8c_ard_3-0-0_101067_2015-06-09_final
2015-06-10 09:25:06	ga_ls8c_ard_3-0-0_092067_2015-06-09_final
2015-06-10 11:04:00	ga_ls8c_ard_3-0-0_108067_2015-06-10_final
2015-11-04 11:35:46	ga_ls8c_ard_3-0-0_113067_2015-11-04_final
2015-11-06 09:44:31	ga_ls8c_ard_3-0-0_095067_2015-11-06_final
2015-11-06 11:23:24	ga_ls8c_ard_3-0-0_111067_2015-11-06_final
2015-11-21 10:40:10	ga_ls8c_ard_3-0-0_104067_2015-11-21_final
2015-11-22 09:44:33	ga_ls8c_ard_3-0-0_095067_2015-11-22_final
2015-11-23 10:27:49	ga_ls8c_ard_3-0-0_102067_2015-11-23_final
2015-11-24 09:32:12	ga_ls8c_ard_3-0-0_093067_2015-11-24_final
2016-06-18 10:27:23	ga_ls8c_ard_3-0-0_102067_2016-06-18_final
2016-06-18 10:27:47	ga_ls8c_ard_3-0-0_102068_2016-06-18_final
2016-06-19 09:31:46	ga_ls8c_ard_3-0-0_093067_2016-06-19_final
2016-06-19 11:10:39	ga_ls8c_ard_3-0-0_109067_2016-06-19_final
2016-06-20 10:15:03	ga_ls8c_ard_3-0-0_100067_2016-06-20_final
2016-06-21 10:58:19	ga_ls8c_ard_3-0-0_107067_2016-06-21_final
2016-08-18 09:56:51	ga_ls8c_ard_3-0-0_097067_2016-08-18_final
2016-08-18 11:35:45	ga_ls8c_ard_3-0-0_113067_2016-08-18_final
2016-08-19 10:40:08	ga_ls8c_ard_3-0-0_104067_2016-08-19_final
2016-08-20 09:44:31	ga_ls8c_ard_3-0-0_095067_2016-08-20_final
2016-08-20 11:23:24	ga_ls8c_ard_3-0-0_111067_2016-08-20_final
2016-08-24 10:58:42	ga_ls8c_ard_3-0-0_107067_2016-08-24_final
2016-08-25 10:03:05	ga_ls8c_ard_3-0-0_098067_2016-08-25_final
2016-08-25 11:41:59	ga_ls8c_ard_3-0-0_114067_2016-08-25_final
2016-08-26 10:46:22	ga_ls8c_ard_3-0-0_105067_2016-08-26_final
2016-08-27 09:50:45	ga_ls8c_ard_3-0-0_096067_2016-08-27_final
2016-08-27 11:29:38	ga_ls8c_ard_3-0-0_112067_2016-08-27_final
2017-05-17 09:56:13	ga_ls8c_ard_3-0-0_097067_2017-05-17_final
2017-05-17 11:35:06	ga_ls8c_ard_3-0-0_113067_2017-05-17_final
2017-05-18 10:39:30	ga_ls8c_ard_3-0-0_104067_2017-05-18_final
2017-05-19 09:43:53	ga_ls8c_ard_3-0-0_095067_2017-05-19_final
2017-05-19 11:22:46	ga_ls8c_ard_3-0-0_111067_2017-05-19_final
2018-02-21 10:45:59	ga_ls8c_ard_3-0-0_105067_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
2018-04-03 10:39:28	ga_ls8c_ard_3-0-0_104067_2018-04-03_final
2018-04-04 09:43:50	ga_ls8c_ard_3-0-0_095067_2018-04-04_final
2018-04-04 11:22:43	ga_ls8c_ard_3-0-0_111067_2018-04-04_final
2018-04-05 10:27:05	ga_ls8c_ard_3-0-0_102067_2018-04-05_final
2018-04-06 09:31:27	ga_ls8c_ard_3-0-0_093067_2018-04-06_final
2018-07-17 10:33:02	ga_ls8c_ard_3-0-0_103067_2018-07-17_final
2018-07-17 10:33:26	ga_ls8c_ard_3-0-0_103068_2018-07-17_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-07-18 11:16:18	ga_ls8c_ard_3-0-0_110067_2018-07-18_final
2018-07-19 10:20:41	ga_ls8c_ard_3-0-0_101067_2018-07-19_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