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
2015-01-04 10:01:12	ga_ls8c_ard_3-0-0_097078_2015-01-04_final
2015-01-04 11:40:05	ga_ls8c_ard_3-0-0_113078_2015-01-04_final
2015-01-05 10:44:28	ga_ls8c_ard_3-0-0_104078_2015-01-05_final
2015-01-06 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-01-06_final
2015-01-06 11:27:44	ga_ls8c_ard_3-0-0_111078_2015-01-06_final
2015-01-07 10:32:07	ga_ls8c_ard_3-0-0_102078_2015-01-07_final
2015-03-11 09:48:26	ga_ls8c_ard_3-0-0_095078_2015-03-11_final
2015-03-11 11:27:19	ga_ls8c_ard_3-0-0_111078_2015-03-11_final
2015-03-12 10:31:40	ga_ls8c_ard_3-0-0_102078_2015-03-12_final
2015-03-25 10:00:41	ga_ls8c_ard_3-0-0_097078_2015-03-25_final
2015-03-25 11:39:34	ga_ls8c_ard_3-0-0_113078_2015-03-25_final
2015-03-26 10:43:56	ga_ls8c_ard_3-0-0_104078_2015-03-26_final
2015-03-27 09:48:18	ga_ls8c_ard_3-0-0_095078_2015-03-27_final
2015-03-27 11:27:11	ga_ls8c_ard_3-0-0_111078_2015-03-27_final
2015-03-28 10:31:33	ga_ls8c_ard_3-0-0_102078_2015-03-28_final
2015-05-09 09:29:20	ga_ls8c_ard_3-0-0_092078_2015-05-08_final
2015-05-09 11:08:13	ga_ls8c_ard_3-0-0_108078_2015-05-09_final
2015-05-10 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-10_final
2015-05-10 11:51:28	ga_ls8c_ard_3-0-0_115078_2015-05-10_final
2015-05-11 09:16:57	ga_ls8c_ard_3-0-0_090078_2015-05-10_final
2015-05-11 10:55:50	ga_ls8c_ard_3-0-0_106078_2015-05-11_final
2016-10-19 11:52:45	ga_ls8c_ard_3-0-0_115078_2016-10-19_final
2016-10-19 11:53:08	ga_ls8c_ard_3-0-0_115079_2016-10-19_final
2016-10-20 09:18:14	ga_ls8c_ard_3-0-0_090078_2016-10-19_final
2016-10-20 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-10-19_final
2016-10-20 10:57:07	ga_ls8c_ard_3-0-0_106078_2016-10-20_final
2016-10-20 10:57:31	ga_ls8c_ard_3-0-0_106079_2016-10-20_final
2016-11-20 10:13:51	ga_ls8c_ard_3-0-0_099078_2016-11-20_final
2016-11-20 11:52:45	ga_ls8c_ard_3-0-0_115078_2016-11-20_final
2016-11-21 09:18:14	ga_ls8c_ard_3-0-0_090078_2016-11-20_final
2016-11-21 10:57:07	ga_ls8c_ard_3-0-0_106078_2016-11-21_final
2016-11-22 10:01:30	ga_ls8c_ard_3-0-0_097078_2016-11-22_final
2016-11-22 10:01:54	ga_ls8c_ard_3-0-0_097079_2016-11-22_final
2016-11-22 11:40:23	ga_ls8c_ard_3-0-0_113078_2016-11-22_final
2016-11-22 11:40:47	ga_ls8c_ard_3-0-0_113079_2016-11-22_final
2016-12-08 10:01:28	ga_ls8c_ard_3-0-0_097078_2016-12-08_final
2016-12-08 10:01:52	ga_ls8c_ard_3-0-0_097079_2016-12-08_final
2016-12-08 11:40:21	ga_ls8c_ard_3-0-0_113078_2016-12-08_final
2016-12-09 09:06:14	ga_ls8c_ard_3-0-0_088079_2016-12-08_final
2016-12-09 10:44:43	ga_ls8c_ard_3-0-0_104078_2016-12-09_final
2016-12-10 09:49:06	ga_ls8c_ard_3-0-0_095078_2016-12-10_final
2016-12-10 11:27:59	ga_ls8c_ard_3-0-0_111078_2016-12-10_final
2017-01-19 10:38:23	ga_ls8c_ard_3-0-0_103078_2017-01-19_final
2017-01-20 09:42:45	ga_ls8c_ard_3-0-0_094078_2017-01-20_final
2017-01-20 11:21:38	ga_ls8c_ard_3-0-0_110078_2017-01-20_final
2017-01-21 10:26:00	ga_ls8c_ard_3-0-0_101078_2017-01-21_final
2017-01-22 09:30:23	ga_ls8c_ard_3-0-0_092078_2017-01-22_final
2017-01-22 11:09:16	ga_ls8c_ard_3-0-0_108078_2017-01-22_final
2017-03-06 10:50:25	ga_ls8c_ard_3-0-0_105078_2017-03-06_final
2017-03-07 09:54:47	ga_ls8c_ard_3-0-0_096078_2017-03-07_final
2017-03-11 09:30:01	ga_ls8c_ard_3-0-0_092078_2017-03-11_final
2017-03-11 11:08:54	ga_ls8c_ard_3-0-0_108078_2017-03-11_final
2017-10-21 09:30:33	ga_ls8c_ard_3-0-0_092078_2017-10-21_final
2017-10-21 09:30:57	ga_ls8c_ard_3-0-0_092079_2017-10-21_final
2017-10-21 11:09:26	ga_ls8c_ard_3-0-0_108078_2017-10-21_final
2017-10-21 11:09:50	ga_ls8c_ard_3-0-0_108079_2017-10-21_final
2017-12-21 10:38:26	ga_ls8c_ard_3-0-0_103078_2017-12-21_final
2017-12-22 09:42:49	ga_ls8c_ard_3-0-0_094078_2017-12-22_final
2017-12-22 09:43:13	ga_ls8c_ard_3-0-0_094079_2017-12-22_final
2017-12-22 11:21:42	ga_ls8c_ard_3-0-0_110078_2017-12-22_final
2017-12-23 10:26:04	ga_ls8c_ard_3-0-0_101078_2017-12-23_final
2017-12-23 10:26:28	ga_ls8c_ard_3-0-0_101079_2017-12-23_final
2017-12-24 09:30:27	ga_ls8c_ard_3-0-0_092078_2017-12-24_final
2017-12-24 11:09:20	ga_ls8c_ard_3-0-0_108078_2017-12-24_final
2018-02-19 09:23:51	ga_ls8c_ard_3-0-0_091078_2018-02-18_final
2018-02-19 11:02:44	ga_ls8c_ard_3-0-0_107078_2018-02-19_final
2018-02-20 10:07:07	ga_ls8c_ard_3-0-0_098078_2018-02-20_final
2018-02-20 11:46:00	ga_ls8c_ard_3-0-0_114078_2018-02-20_final
2018-02-21 09:11:29	ga_ls8c_ard_3-0-0_089078_2018-02-20_final
2018-02-21 10:50:22	ga_ls8c_ard_3-0-0_105078_2018-02-21_final
2018-02-22 09:54:44	ga_ls8c_ard_3-0-0_096078_2018-02-22_final
2018-02-22 09:55:08	ga_ls8c_ard_3-0-0_096079_2018-02-22_final
2018-02-22 11:33:37	ga_ls8c_ard_3-0-0_112078_2018-02-22_final
2018-02-23 10:37:59	ga_ls8c_ard_3-0-0_103078_2018-02-23_final
2018-02-24 09:42:22	ga_ls8c_ard_3-0-0_094078_2018-02-24_final
2018-02-24 11:21:15	ga_ls8c_ard_3-0-0_110078_2018-02-24_final
2018-02-25 10:25:37	ga_ls8c_ard_3-0-0_101078_2018-02-25_final
2018-02-26 09:29:59	ga_ls8c_ard_3-0-0_092078_2018-02-25_final
2018-02-26 11:08:52	ga_ls8c_ard_3-0-0_108078_2018-02-26_final
2018-03-31 10:12:58	ga_ls8c_ard_3-0-0_099078_2018-03-31_final
2018-03-31 11:51:52	ga_ls8c_ard_3-0-0_115078_2018-03-31_final
2018-04-01 09:17:21	ga_ls8c_ard_3-1-0_090078_2018-03-31_final
2018-04-01 10:56:14	ga_ls8c_ard_3-0-0_106078_2018-04-01_final
2018-04-02 10:00:36	ga_ls8c_ard_3-0-0_097078_2018-04-02_final
2018-04-02 11:39:29	ga_ls8c_ard_3-0-0_113078_2018-04-02_final
2018-04-03 10:43:51	ga_ls8c_ard_3-0-0_104078_2018-04-03_final
2018-04-04 09:48:13	ga_ls8c_ard_3-0-0_095078_2018-04-04_final
2018-04-04 11:27:06	ga_ls8c_ard_3-0-0_111078_2018-04-04_final
2018-04-05 10:31:28	ga_ls8c_ard_3-0-0_102078_2018-04-05_final
2018-05-05 10:43:33	ga_ls8c_ard_3-0-0_104078_2018-05-05_final
2018-05-06 09:47:55	ga_ls8c_ard_3-0-0_095078_2018-05-06_final
2018-05-06 11:26:48	ga_ls8c_ard_3-0-0_111078_2018-05-06_final
2018-05-07 10:31:10	ga_ls8c_ard_3-0-0_102078_2018-05-07_final
2018-07-17 10:37:25	ga_ls8c_ard_3-0-0_103078_2018-07-17_final
2018-07-17 10:37:49	ga_ls8c_ard_3-0-0_103079_2018-07-17_final
2018-07-18 09:41:48	ga_ls8c_ard_3-0-0_094078_2018-07-18_final
2018-07-18 09:42:12	ga_ls8c_ard_3-0-0_094079_2018-07-18_final
2018-07-18 11:20:41	ga_ls8c_ard_3-0-0_110078_2018-07-18_final
2018-07-18 11:21:05	ga_ls8c_ard_3-0-0_110079_2018-07-18_final
2018-07-19 10:25:04	ga_ls8c_ard_3-0-0_101078_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