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
2013-12-22 11:04:25	ga_ls8c_ard_3-0-0_107078_2013-12-22_final
2013-12-22 11:04:49	ga_ls8c_ard_3-0-0_107079_2013-12-22_final
2013-12-23 10:08:48	ga_ls8c_ard_3-0-0_098078_2013-12-23_final
2013-12-23 10:09:12	ga_ls8c_ard_3-0-0_098079_2013-12-23_final
2013-12-23 11:47:41	ga_ls8c_ard_3-0-0_114078_2013-12-23_final
2013-12-23 11:48:05	ga_ls8c_ard_3-0-0_114079_2013-12-23_final
2013-12-24 09:13:10	ga_ls8c_ard_3-0-0_089078_2013-12-23_final
2013-12-24 09:13:34	ga_ls8c_ard_3-0-0_089079_2013-12-23_final
2013-12-24 10:52:03	ga_ls8c_ard_3-0-0_105078_2013-12-24_final
2013-12-24 10:52:27	ga_ls8c_ard_3-0-0_105079_2013-12-24_final
2013-12-26 10:39:41	ga_ls8c_ard_3-0-0_103078_2013-12-26_final
2013-12-26 10:40:05	ga_ls8c_ard_3-1-0_103079_2013-12-26_final
2013-12-27 09:44:03	ga_ls8c_ard_3-0-0_094078_2013-12-27_final
2013-12-27 09:44:27	ga_ls8c_ard_3-0-0_094079_2013-12-27_final
2013-12-27 11:23:20	ga_ls8c_ard_3-0-0_110079_2013-12-27_final
2013-12-28 10:27:18	ga_ls8c_ard_3-0-0_101078_2013-12-28_final
2013-12-28 10:27:42	ga_ls8c_ard_3-0-0_101079_2013-12-28_final
2014-04-21 10:13:49	ga_ls8c_ard_3-0-0_099079_2014-04-21_final
2014-04-21 11:52:18	ga_ls8c_ard_3-0-0_115078_2014-04-21_final
2014-04-21 11:52:42	ga_ls8c_ard_3-0-0_115079_2014-04-21_final
2014-04-22 09:17:47	ga_ls8c_ard_3-0-0_090078_2014-04-21_final
2014-04-22 09:18:11	ga_ls8c_ard_3-0-0_090079_2014-04-21_final
2014-04-22 10:57:04	ga_ls8c_ard_3-0-0_106079_2014-04-22_final
2016-08-07 11:58:37	ga_ls8c_ard_3-0-0_116078_2016-08-07_final
2016-08-08 09:24:06	ga_ls8c_ard_3-0-0_091078_2016-08-07_final
2016-08-08 09:24:30	ga_ls8c_ard_3-0-0_091079_2016-08-07_final
2016-08-08 11:02:59	ga_ls8c_ard_3-0-0_107078_2016-08-08_final
2016-08-08 11:03:23	ga_ls8c_ard_3-0-0_107079_2016-08-08_final
2016-10-10 11:58:53	ga_ls8c_ard_3-0-0_116078_2016-10-10_final
2016-10-11 09:24:23	ga_ls8c_ard_3-0-0_091078_2016-10-10_final
2016-10-11 09:24:47	ga_ls8c_ard_3-0-0_091079_2016-10-10_final
2016-10-11 11:03:16	ga_ls8c_ard_3-0-0_107078_2016-10-11_final
2016-10-11 11:03:40	ga_ls8c_ard_3-0-0_107079_2016-10-11_final
2019-07-11 09:05:52	ga_ls8c_ard_3-1-0_088079_2019-07-10_final
2019-07-11 10:44:21	ga_ls8c_ard_3-1-0_104078_2019-07-11_final
2019-07-11 10:44:45	ga_ls8c_ard_3-1-0_104079_2019-07-11_final
2019-07-12 09:48:44	ga_ls8c_ard_3-1-0_095078_2019-07-12_final
2019-07-12 09:49:08	ga_ls8c_ard_3-1-0_095079_2019-07-12_final
2019-07-12 11:27:37	ga_ls8c_ard_3-1-0_111078_2019-07-12_final
2019-07-12 11:28:01	ga_ls8c_ard_3-1-0_111079_2019-07-12_final
2019-07-13 10:32:00	ga_ls8c_ard_3-1-0_102078_2019-07-13_final
2019-07-13 10:32:24	ga_ls8c_ard_3-1-0_102079_2019-07-13_final
2019-07-14 09:36:23	ga_ls8c_ard_3-1-0_093078_2019-07-14_final
2019-07-14 09:36:47	ga_ls8c_ard_3-1-0_093079_2019-07-14_final
2019-07-14 11:15:16	ga_ls8c_ard_3-1-0_109078_2019-07-14_final
2019-07-14 11:15:40	ga_ls8c_ard_3-1-0_109079_2019-07-14_final
2019-07-15 10:19:39	ga_ls8c_ard_3-1-0_100078_2019-07-15_final
2019-07-15 10:20:02	ga_ls8c_ard_3-1-0_100079_2019-07-15_final
2019-07-15 11:58:32	ga_ls8c_ard_3-1-0_116078_2019-07-15_final
2019-07-16 09:24:01	ga_ls8c_ard_3-1-0_091078_2019-07-15_final
2019-07-16 09:24:25	ga_ls8c_ard_3-1-0_091079_2019-07-15_final
2019-07-16 11:02:54	ga_ls8c_ard_3-1-0_107078_2019-07-16_final
2019-07-16 11:03:18	ga_ls8c_ard_3-1-0_107079_2019-07-16_final
2019-08-17 09:24:13	ga_ls8c_ard_3-1-0_091078_2019-08-16_final
2019-08-17 09:24:37	ga_ls8c_ard_3-1-0_091079_2019-08-16_final
2019-08-17 11:03:06	ga_ls8c_ard_3-1-0_107078_2019-08-17_final
2019-08-17 11:03:30	ga_ls8c_ard_3-1-0_107079_2019-08-17_final
2019-08-18 10:07:29	ga_ls8c_ard_3-1-0_098078_2019-08-18_final
2019-08-18 10:07:53	ga_ls8c_ard_3-1-0_098079_2019-08-18_final
2019-08-18 11:46:22	ga_ls8c_ard_3-1-0_114078_2019-08-18_final
2019-08-18 11:46:46	ga_ls8c_ard_3-1-0_114079_2019-08-18_final
2019-08-19 09:11:52	ga_ls8c_ard_3-1-0_089078_2019-08-18_final
2019-08-19 09:12:16	ga_ls8c_ard_3-1-0_089079_2019-08-18_final
2019-08-19 10:50:45	ga_ls8c_ard_3-1-0_105078_2019-08-19_final
2019-08-19 10:51:09	ga_ls8c_ard_3-1-0_105079_2019-08-19_final
2019-08-20 09:55:08	ga_ls8c_ard_3-1-0_096078_2019-08-20_final
2019-08-20 09:55:32	ga_ls8c_ard_3-1-0_096079_2019-08-20_final
2019-08-20 11:34:01	ga_ls8c_ard_3-1-0_112078_2019-08-20_final
2019-08-20 11:34:25	ga_ls8c_ard_3-1-0_112079_2019-08-20_final
2019-09-06 10:38:27	ga_ls8c_ard_3-1-0_103078_2019-09-06_final
2019-09-06 10:38:51	ga_ls8c_ard_3-1-0_103079_2019-09-06_final
2019-09-07 09:42:50	ga_ls8c_ard_3-1-0_094078_2019-09-07_final
2019-09-07 09:43:14	ga_ls8c_ard_3-1-0_094079_2019-09-07_final
2019-09-07 11:21:43	ga_ls8c_ard_3-1-0_110078_2019-09-07_final
2019-09-07 11:22:07	ga_ls8c_ard_3-1-0_110079_2019-09-07_final
2019-09-08 10:26:06	ga_ls8c_ard_3-1-0_101078_2019-09-08_final
2019-09-08 10:26:30	ga_ls8c_ard_3-1-0_101079_2019-09-08_final
2019-10-20 09:24:28	ga_ls8c_ard_3-1-0_091078_2019-10-19_final
2019-10-20 09:24:52	ga_ls8c_ard_3-1-0_091079_2019-10-19_final
2019-10-20 11:03:21	ga_ls8c_ard_3-1-0_107078_2019-10-20_final
2019-10-20 11:03:45	ga_ls8c_ard_3-1-0_107079_2019-10-20_final
2019-10-21 10:07:44	ga_ls8c_ard_3-1-0_098078_2019-10-21_final
2019-10-21 10:08:08	ga_ls8c_ard_3-1-0_098079_2019-10-21_final
2019-10-21 11:46:37	ga_ls8c_ard_3-1-0_114078_2019-10-21_final
2019-10-21 11:47:01	ga_ls8c_ard_3-1-0_114079_2019-10-21_final
2019-10-22 09:12:07	ga_ls8c_ard_3-1-0_089078_2019-10-21_final
2019-10-22 09:12:31	ga_ls8c_ard_3-1-0_089079_2019-10-21_final
2019-10-22 10:51:00	ga_ls8c_ard_3-1-0_105078_2019-10-22_final
2019-10-22 10:51:24	ga_ls8c_ard_3-1-0_105079_2019-10-22_final
2019-10-23 09:55:22	ga_ls8c_ard_3-1-0_096078_2019-10-23_final
2019-10-23 09:55:46	ga_ls8c_ard_3-1-0_096079_2019-10-23_final
2019-10-23 11:34:15	ga_ls8c_ard_3-1-0_112078_2019-10-23_final
2019-10-23 11:34:39	ga_ls8c_ard_3-1-0_112079_2019-10-23_final
2019-10-24 10:38:38	ga_ls8c_ard_3-1-0_103078_2019-10-24_final
2019-10-24 10:39:02	ga_ls8c_ard_3-1-0_103079_2019-10-24_final
2019-10-25 09:43:01	ga_ls8c_ard_3-1-0_094078_2019-10-25_final
2019-10-25 09:43:25	ga_ls8c_ard_3-1-0_094079_2019-10-25_final
2019-10-25 11:21:54	ga_ls8c_ard_3-1-0_110078_2019-10-25_final
2019-10-25 11:22:18	ga_ls8c_ard_3-1-0_110079_2019-10-25_final
2019-10-26 10:26:16	ga_ls8c_ard_3-1-0_101078_2019-10-26_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