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
2013-11-27 11:09:09	ga_ls8c_ard_3-0-0_108074_2013-11-27_final
2013-11-28 11:52:25	ga_ls8c_ard_3-0-0_115074_2013-11-28_final
2013-11-29 10:56:48	ga_ls8c_ard_3-0-0_106074_2013-11-29_final
2013-11-30 10:01:11	ga_ls8c_ard_3-0-0_097074_2013-11-30_final
2013-11-30 11:40:04	ga_ls8c_ard_3-0-0_113074_2013-11-30_final
2013-12-01 10:44:27	ga_ls8c_ard_3-0-0_104074_2013-12-01_final
2014-03-10 11:14:17	ga_ls8c_ard_3-0-0_109074_2014-03-10_final
2014-03-11 10:18:39	ga_ls8c_ard_3-0-0_100074_2014-03-11_final
2014-03-12 11:01:54	ga_ls8c_ard_3-0-0_107074_2014-03-12_final
2014-03-13 10:06:16	ga_ls8c_ard_3-0-0_098074_2014-03-13_final
2014-03-13 11:45:09	ga_ls8c_ard_3-0-0_114074_2014-03-13_final
2014-06-10 09:59:15	ga_ls8c_ard_3-0-0_097074_2014-06-10_final
2014-06-10 11:38:08	ga_ls8c_ard_3-0-0_113074_2014-06-10_final
2014-06-11 10:42:07	ga_ls8c_ard_3-0-0_104073_2014-06-11_final
2014-06-11 10:42:31	ga_ls8c_ard_3-0-0_104074_2014-06-11_final
2014-06-12 09:46:54	ga_ls8c_ard_3-0-0_095074_2014-06-12_final
2014-06-12 11:25:23	ga_ls8c_ard_3-0-0_111073_2014-06-12_final
2014-06-12 11:25:47	ga_ls8c_ard_3-0-0_111074_2014-06-12_final
2014-06-13 10:30:10	ga_ls8c_ard_3-0-0_102074_2014-06-13_final
2016-10-21 09:59:54	ga_ls8c_ard_3-0-0_097074_2016-10-21_final
2016-10-21 11:38:47	ga_ls8c_ard_3-0-0_113074_2016-10-21_final
2016-10-22 10:43:10	ga_ls8c_ard_3-0-0_104074_2016-10-22_final
2016-10-23 09:47:33	ga_ls8c_ard_3-0-0_095074_2016-10-23_final
2016-10-23 11:26:26	ga_ls8c_ard_3-0-0_111074_2016-10-23_final
2016-10-24 10:30:49	ga_ls8c_ard_3-0-0_102074_2016-10-24_final
2016-10-28 10:06:06	ga_ls8c_ard_3-0-0_098074_2016-10-28_final
2016-10-28 11:44:59	ga_ls8c_ard_3-0-0_114074_2016-10-28_final
2016-10-29 09:10:28	ga_ls8c_ard_3-0-0_089074_2016-10-28_final
2016-10-29 10:49:21	ga_ls8c_ard_3-0-0_105074_2016-10-29_final
2016-10-30 09:53:44	ga_ls8c_ard_3-0-0_096074_2016-10-30_final
2016-10-30 11:32:37	ga_ls8c_ard_3-0-0_112074_2016-10-30_final
2016-10-31 10:37:00	ga_ls8c_ard_3-0-0_103074_2016-10-31_final
2016-12-24 09:59:48	ga_ls8c_ard_3-0-0_097074_2016-12-24_final
2016-12-24 11:38:41	ga_ls8c_ard_3-0-0_113074_2016-12-24_final
2016-12-25 10:43:03	ga_ls8c_ard_3-0-0_104074_2016-12-25_final
2016-12-26 09:47:26	ga_ls8c_ard_3-0-0_095074_2016-12-26_final
2016-12-26 11:26:19	ga_ls8c_ard_3-0-0_111074_2016-12-26_final
2016-12-27 10:30:42	ga_ls8c_ard_3-0-0_102074_2016-12-27_final
2017-02-26 09:59:26	ga_ls8c_ard_3-0-0_097074_2017-02-26_final
2017-02-26 11:38:19	ga_ls8c_ard_3-0-0_113074_2017-02-26_final
2017-02-27 10:42:42	ga_ls8c_ard_3-0-0_104074_2017-02-27_final
2017-02-28 09:47:04	ga_ls8c_ard_3-0-0_095074_2017-02-28_final
2017-02-28 11:25:57	ga_ls8c_ard_3-0-0_111074_2017-02-28_final
2017-03-01 10:30:19	ga_ls8c_ard_3-0-0_102074_2017-03-01_final
2017-03-06 10:48:49	ga_ls8c_ard_3-0-0_105074_2017-03-06_final
2017-03-07 09:53:11	ga_ls8c_ard_3-0-0_096074_2017-03-07_final
2017-03-07 11:32:04	ga_ls8c_ard_3-0-0_112074_2017-03-07_final
2020-06-01 10:05:14	ga_ls8c_ard_3-1-0_098074_2020-06-01_final
2020-06-01 11:44:07	ga_ls8c_ard_3-1-0_114074_2020-06-01_final
2020-06-02 09:09:38	ga_ls8c_ard_3-1-0_089074_2020-06-01_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-03 09:52:54	ga_ls8c_ard_3-1-0_096074_2020-06-03_final
2020-06-03 11:31:23	ga_ls8c_ard_3-1-0_112073_2020-06-03_final
2020-06-03 11:31:47	ga_ls8c_ard_3-1-0_112074_2020-06-03_final
2020-06-17 10:05:24	ga_ls8c_ard_3-1-0_098074_2020-06-17_final
2020-06-17 11:44:17	ga_ls8c_ard_3-1-0_114074_2020-06-17_final
2020-06-18 09:09:47	ga_ls8c_ard_3-1-0_089074_2020-06-17_final
2020-06-18 10:48:17	ga_ls8c_ard_3-1-0_105073_2020-06-18_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-06-19 09:53:04	ga_ls8c_ard_3-1-0_096074_2020-06-19_final
2020-06-19 11:31:57	ga_ls8c_ard_3-1-0_112074_2020-06-19_final
2020-07-23 09:40:56	ga_ls8c_ard_3-1-0_094074_2020-07-23_final
2020-07-23 11:19:25	ga_ls8c_ard_3-1-0_110073_2020-07-23_final
2020-07-23 11:19:49	ga_ls8c_ard_3-1-0_110074_2020-07-23_final
2020-07-24 10:23:48	ga_ls8c_ard_3-1-0_101073_2020-07-24_final
2020-07-24 10:24:12	ga_ls8c_ard_3-1-0_101074_2020-07-24_final
2020-07-25 09:28:11	ga_ls8c_ard_3-1-0_092073_2020-07-24_final
2020-07-25 09:28:35	ga_ls8c_ard_3-1-0_092074_2020-07-24_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-08-01 09:34:47	ga_ls8c_ard_3-1-0_093074_2020-08-01_final
2020-08-01 11:13:40	ga_ls8c_ard_3-1-0_109074_2020-08-01_final
2020-08-02 10:17:39	ga_ls8c_ard_3-1-0_100073_2020-08-02_final
2020-08-02 10:18:03	ga_ls8c_ard_3-1-0_100074_2020-08-02_final
2020-08-02 11:56:56	ga_ls8c_ard_3-1-0_116074_2020-08-02_final
2020-08-03 09:22:02	ga_ls8c_ard_3-1-0_091073_2020-08-02_final
2020-08-03 09:22:26	ga_ls8c_ard_3-1-0_091074_2020-08-02_final
2020-08-03 11:01:19	ga_ls8c_ard_3-1-0_107074_2020-08-03_final
2020-08-09 10:24:15	ga_ls8c_ard_3-1-0_101074_2020-08-09_final
2020-08-10 09:28:38	ga_ls8c_ard_3-1-0_092074_2020-08-09_final
2020-08-10 11:07:31	ga_ls8c_ard_3-1-0_108074_2020-08-10_final
2020-08-11 10:11:30	ga_ls8c_ard_3-1-0_099073_2020-08-11_final
2020-08-11 10:11:54	ga_ls8c_ard_3-1-0_099074_2020-08-11_final
2020-08-11 11:50:23	ga_ls8c_ard_3-1-0_115073_2020-08-11_final
2020-08-11 11:50:47	ga_ls8c_ard_3-1-0_115074_2020-08-11_final
2020-08-12 09:16:17	ga_ls8c_ard_3-1-0_090074_2020-08-11_final
2020-08-12 10:55:10	ga_ls8c_ard_3-1-0_106074_2020-08-12_final
2020-08-13 09:59:33	ga_ls8c_ard_3-1-0_097074_2020-08-13_final
2020-08-13 11:38:26	ga_ls8c_ard_3-1-0_113074_2020-08-13_final
2020-08-20 11:44:41	ga_ls8c_ard_3-1-0_114074_2020-08-20_final
2020-08-21 09:10:11	ga_ls8c_ard_3-1-0_089074_2020-08-20_final
2020-08-21 10:48:40	ga_ls8c_ard_3-1-0_105073_2020-08-21_final
2020-08-21 10:49:04	ga_ls8c_ard_3-1-0_105074_2020-08-21_final
2020-08-22 09:53:03	ga_ls8c_ard_3-1-0_096073_2020-08-22_final
2020-08-22 09:53:27	ga_ls8c_ard_3-1-0_096074_2020-08-22_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-08-26 09:28:22	ga_ls8c_ard_3-1-0_092073_2020-08-25_final
2020-08-26 09:28:46	ga_ls8c_ard_3-1-0_092074_2020-08-25_final
2020-08-26 11:07:39	ga_ls8c_ard_3-1-0_108074_2020-08-26_final
2020-08-27 10:12:02	ga_ls8c_ard_3-1-0_099074_2020-08-27_final
2020-08-27 11:50:31	ga_ls8c_ard_3-1-0_115073_2020-08-27_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