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 11:02:49	ga_ls8c_ard_3-0-0_107074_2013-12-22_final
2013-12-23 10:07:12	ga_ls8c_ard_3-0-0_098074_2013-12-23_final
2013-12-23 11:46:05	ga_ls8c_ard_3-0-0_114074_2013-12-23_final
2013-12-24 10:50:27	ga_ls8c_ard_3-0-0_105074_2013-12-24_final
2013-12-26 10:38:05	ga_ls8c_ard_3-0-0_103074_2013-12-26_final
2013-12-27 09:42:27	ga_ls8c_ard_3-0-0_094074_2013-12-27_final
2013-12-27 11:21:20	ga_ls8c_ard_3-0-0_110074_2013-12-27_final
2013-12-28 10:25:19	ga_ls8c_ard_3-0-0_101073_2013-12-28_final
2013-12-28 10:25:43	ga_ls8c_ard_3-0-0_101074_2013-12-28_final
2014-04-21 10:11:49	ga_ls8c_ard_3-0-0_099074_2014-04-21_final
2014-04-21 11:50:42	ga_ls8c_ard_3-0-0_115074_2014-04-21_final
2014-04-22 10:55:04	ga_ls8c_ard_3-0-0_106074_2014-04-22_final
2015-02-27 09:21:52	ga_ls8c_ard_3-0-0_091073_2015-02-26_final
2015-02-27 09:22:16	ga_ls8c_ard_3-0-0_091074_2015-02-26_final
2016-08-07 11:57:01	ga_ls8c_ard_3-0-0_116074_2016-08-07_final
2016-08-08 09:22:07	ga_ls8c_ard_3-0-0_091073_2016-08-07_final
2016-08-08 09:22:31	ga_ls8c_ard_3-0-0_091074_2016-08-07_final
2016-08-08 11:01:00	ga_ls8c_ard_3-0-0_107073_2016-08-08_final
2016-08-08 11:01:24	ga_ls8c_ard_3-0-0_107074_2016-08-08_final
2016-10-09 09:34:44	ga_ls8c_ard_3-0-0_093073_2016-10-09_final
2016-10-09 09:35:08	ga_ls8c_ard_3-0-0_093074_2016-10-09_final
2016-10-09 11:13:37	ga_ls8c_ard_3-0-0_109073_2016-10-09_final
2016-10-09 11:14:01	ga_ls8c_ard_3-0-0_109074_2016-10-09_final
2016-10-10 10:18:00	ga_ls8c_ard_3-0-0_100073_2016-10-10_final
2016-10-10 10:18:24	ga_ls8c_ard_3-0-0_100074_2016-10-10_final
2016-10-10 11:57:17	ga_ls8c_ard_3-0-0_116074_2016-10-10_final
2016-10-11 09:22:23	ga_ls8c_ard_3-0-0_091073_2016-10-10_final
2016-10-11 09:22:47	ga_ls8c_ard_3-0-0_091074_2016-10-10_final
2016-10-11 11:01:16	ga_ls8c_ard_3-0-0_107073_2016-10-11_final
2016-10-11 11:01:40	ga_ls8c_ard_3-0-0_107074_2016-10-11_final
2019-07-11 10:42:22	ga_ls8c_ard_3-1-0_104073_2019-07-11_final
2019-07-11 10:42:45	ga_ls8c_ard_3-1-0_104074_2019-07-11_final
2019-07-12 09:46:44	ga_ls8c_ard_3-1-0_095073_2019-07-12_final
2019-07-12 09:47:08	ga_ls8c_ard_3-1-0_095074_2019-07-12_final
2019-07-12 11:25:37	ga_ls8c_ard_3-1-0_111073_2019-07-12_final
2019-07-12 11:26:01	ga_ls8c_ard_3-1-0_111074_2019-07-12_final
2019-07-13 10:30:00	ga_ls8c_ard_3-1-0_102073_2019-07-13_final
2019-07-13 10:30:24	ga_ls8c_ard_3-1-0_102074_2019-07-13_final
2019-07-14 09:34:23	ga_ls8c_ard_3-1-0_093073_2019-07-14_final
2019-07-14 09:34:47	ga_ls8c_ard_3-1-0_093074_2019-07-14_final
2019-07-14 11:13:16	ga_ls8c_ard_3-1-0_109073_2019-07-14_final
2019-07-14 11:13:40	ga_ls8c_ard_3-1-0_109074_2019-07-14_final
2019-07-15 10:17:39	ga_ls8c_ard_3-1-0_100073_2019-07-15_final
2019-07-15 10:18:03	ga_ls8c_ard_3-1-0_100074_2019-07-15_final
2019-07-15 11:56:56	ga_ls8c_ard_3-1-0_116074_2019-07-15_final
2019-07-16 09:22:02	ga_ls8c_ard_3-1-0_091073_2019-07-15_final
2019-07-16 09:22:26	ga_ls8c_ard_3-1-0_091074_2019-07-15_final
2019-07-16 11:00:55	ga_ls8c_ard_3-1-0_107073_2019-07-16_final
2019-07-16 11:01:19	ga_ls8c_ard_3-1-0_107074_2019-07-16_final
2019-08-17 09:22:13	ga_ls8c_ard_3-1-0_091073_2019-08-16_final
2019-08-17 09:22:37	ga_ls8c_ard_3-1-0_091074_2019-08-16_final
2019-08-17 11:01:30	ga_ls8c_ard_3-1-0_107074_2019-08-17_final
2019-08-18 10:05:29	ga_ls8c_ard_3-1-0_098073_2019-08-18_final
2019-08-18 10:05:53	ga_ls8c_ard_3-1-0_098074_2019-08-18_final
2019-08-18 11:44:23	ga_ls8c_ard_3-1-0_114073_2019-08-18_final
2019-08-18 11:44:46	ga_ls8c_ard_3-1-0_114074_2019-08-18_final
2019-08-19 09:10:16	ga_ls8c_ard_3-1-0_089074_2019-08-18_final
2019-08-19 10:48:45	ga_ls8c_ard_3-1-0_105073_2019-08-19_final
2019-08-19 10:49:09	ga_ls8c_ard_3-1-0_105074_2019-08-19_final
2019-08-20 09:53:08	ga_ls8c_ard_3-1-0_096073_2019-08-20_final
2019-08-20 09:53:32	ga_ls8c_ard_3-1-0_096074_2019-08-20_final
2019-08-20 11:32:01	ga_ls8c_ard_3-1-0_112073_2019-08-20_final
2019-08-20 11:32:25	ga_ls8c_ard_3-1-0_112074_2019-08-20_final
2019-08-28 10:42:37	ga_ls8c_ard_3-1-0_104073_2019-08-28_final
2019-08-28 10:43:01	ga_ls8c_ard_3-1-0_104074_2019-08-28_final
2019-08-29 09:47:00	ga_ls8c_ard_3-1-0_095073_2019-08-29_final
2019-08-29 09:47:23	ga_ls8c_ard_3-1-0_095074_2019-08-29_final
2019-08-29 11:25:53	ga_ls8c_ard_3-1-0_111073_2019-08-29_final
2019-08-29 11:26:17	ga_ls8c_ard_3-1-0_111074_2019-08-29_final
2019-08-30 10:30:15	ga_ls8c_ard_3-1-0_102073_2019-08-30_final
2019-08-30 10:30:39	ga_ls8c_ard_3-1-0_102074_2019-08-30_final
2019-09-06 10:36:27	ga_ls8c_ard_3-1-0_103073_2019-09-06_final
2019-09-06 10:36:51	ga_ls8c_ard_3-1-0_103074_2019-09-06_final
2019-09-07 09:40:50	ga_ls8c_ard_3-1-0_094073_2019-09-07_final
2019-09-07 09:41:14	ga_ls8c_ard_3-1-0_094074_2019-09-07_final
2019-09-07 11:19:44	ga_ls8c_ard_3-1-0_110073_2019-09-07_final
2019-09-07 11:20:07	ga_ls8c_ard_3-1-0_110074_2019-09-07_final
2019-09-08 10:24:07	ga_ls8c_ard_3-1-0_101073_2019-09-08_final
2019-09-08 10:24:31	ga_ls8c_ard_3-1-0_101074_2019-09-08_final
2019-10-20 09:22:29	ga_ls8c_ard_3-1-0_091073_2019-10-19_final
2019-10-20 09:22:53	ga_ls8c_ard_3-1-0_091074_2019-10-19_final
2019-10-20 11:01:22	ga_ls8c_ard_3-1-0_107073_2019-10-20_final
2019-10-20 11:01:46	ga_ls8c_ard_3-1-0_107074_2019-10-20_final
2019-10-21 10:05:44	ga_ls8c_ard_3-1-0_098073_2019-10-21_final
2019-10-21 10:06:08	ga_ls8c_ard_3-1-0_098074_2019-10-21_final
2019-10-21 11:44:37	ga_ls8c_ard_3-1-0_114073_2019-10-21_final
2019-10-21 11:45:01	ga_ls8c_ard_3-1-0_114074_2019-10-21_final
2019-10-22 09:10:31	ga_ls8c_ard_3-1-0_089074_2019-10-21_final
2019-10-22 10:49:00	ga_ls8c_ard_3-1-0_105073_2019-10-22_final
2019-10-22 10:49:24	ga_ls8c_ard_3-1-0_105074_2019-10-22_final
2019-10-23 09:53:47	ga_ls8c_ard_3-1-0_096074_2019-10-23_final
2019-10-23 11:32:16	ga_ls8c_ard_3-1-0_112073_2019-10-23_final
2019-10-23 11:32:40	ga_ls8c_ard_3-1-0_112074_2019-10-23_final
2019-10-24 10:36:38	ga_ls8c_ard_3-1-0_103073_2019-10-24_final
2019-10-24 10:37:02	ga_ls8c_ard_3-1-0_103074_2019-10-24_final
2019-10-25 09:41:01	ga_ls8c_ard_3-1-0_094073_2019-10-25_final
2019-10-25 09:41:25	ga_ls8c_ard_3-1-0_094074_2019-10-25_final
2019-10-25 11:19:54	ga_ls8c_ard_3-1-0_110073_2019-10-25_final
2019-10-25 11:20:18	ga_ls8c_ard_3-1-0_110074_2019-10-25_final
2019-10-26 10:24:17	ga_ls8c_ard_3-1-0_101073_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