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
2013-04-27 10:09:05	ga_ls8c_ard_3-0-0_098078_2013-04-27_final
2013-04-27 11:47:58	ga_ls8c_ard_3-0-0_114078_2013-04-27_final
2013-04-28 09:13:28	ga_ls8c_ard_3-0-0_089078_2013-04-27_final
2013-04-28 10:52:21	ga_ls8c_ard_3-0-0_105078_2013-04-28_final
2013-04-29 09:56:45	ga_ls8c_ard_3-0-0_096078_2013-04-29_final
2013-04-29 11:35:38	ga_ls8c_ard_3-0-0_112078_2013-04-29_final
2013-04-30 10:40:01	ga_ls8c_ard_3-0-0_103078_2013-04-30_final
2013-05-01 09:44:24	ga_ls8c_ard_3-0-0_094078_2013-05-01_final
2013-05-01 11:23:17	ga_ls8c_ard_3-0-0_110078_2013-05-01_final
2013-05-02 10:27:40	ga_ls8c_ard_3-0-0_101078_2013-05-02_final
2013-05-22 10:03:11	ga_ls8c_ard_3-0-0_097078_2013-05-22_final
2013-05-22 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-05-22_final
2013-05-23 10:46:28	ga_ls8c_ard_3-0-0_104078_2013-05-23_final
2013-05-24 09:50:50	ga_ls8c_ard_3-0-0_095078_2013-05-24_final
2013-05-24 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-05-24_final
2013-05-25 10:34:06	ga_ls8c_ard_3-0-0_102078_2013-05-25_final
2013-05-26 09:38:29	ga_ls8c_ard_3-0-0_093078_2013-05-26_final
2013-05-26 11:17:22	ga_ls8c_ard_3-0-0_109078_2013-05-26_final
2013-07-01 10:52:34	ga_ls8c_ard_3-0-0_105078_2013-07-01_final
2013-07-02 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-07-02_final
2013-07-02 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-02_final
2013-07-02 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-02_final
2013-07-03 10:40:13	ga_ls8c_ard_3-0-0_103078_2013-07-03_final
2013-07-04 09:44:36	ga_ls8c_ard_3-0-0_094078_2013-07-04_final
2013-07-04 11:23:29	ga_ls8c_ard_3-0-0_110078_2013-07-04_final
2013-07-05 10:27:28	ga_ls8c_ard_3-0-0_101077_2013-07-05_final
2013-07-05 10:27:52	ga_ls8c_ard_3-0-0_101078_2013-07-05_final
2013-08-25 09:19:57	ga_ls8c_ard_3-0-0_090078_2013-08-24_final
2013-08-25 10:58:50	ga_ls8c_ard_3-0-0_106078_2013-08-25_final
2013-08-26 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-08-26_final
2013-08-27 10:46:28	ga_ls8c_ard_3-0-0_104078_2013-08-27_final
2013-08-28 09:50:51	ga_ls8c_ard_3-0-0_095078_2013-08-28_final
2013-08-28 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-08-28_final
2014-08-17 09:36:30	ga_ls8c_ard_3-0-0_093078_2014-08-17_final
2014-08-17 11:15:23	ga_ls8c_ard_3-0-0_109078_2014-08-17_final
2014-08-18 10:19:22	ga_ls8c_ard_3-0-0_100077_2014-08-18_final
2014-08-18 10:19:46	ga_ls8c_ard_3-0-0_100078_2014-08-18_final
2014-08-19 09:24:09	ga_ls8c_ard_3-0-0_091078_2014-08-18_final
2014-08-19 11:03:02	ga_ls8c_ard_3-0-0_107078_2014-08-19_final
2014-08-20 10:07:01	ga_ls8c_ard_3-0-0_098077_2014-08-20_final
2014-08-20 10:07:25	ga_ls8c_ard_3-0-0_098078_2014-08-20_final
2014-08-20 11:45:54	ga_ls8c_ard_3-0-0_114077_2014-08-20_final
2014-08-20 11:46:18	ga_ls8c_ard_3-0-0_114078_2014-08-20_final
2014-08-21 09:11:24	ga_ls8c_ard_3-0-0_089077_2014-08-20_final
2014-08-21 09:11:48	ga_ls8c_ard_3-0-0_089078_2014-08-20_final
2014-08-21 10:50:41	ga_ls8c_ard_3-0-0_105078_2014-08-21_final
2014-08-22 09:54:39	ga_ls8c_ard_3-0-0_096077_2014-08-22_final
2014-08-22 09:55:03	ga_ls8c_ard_3-0-0_096078_2014-08-22_final
2014-08-22 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-08-22_final
2014-08-22 11:33:56	ga_ls8c_ard_3-0-0_112078_2014-08-22_final
2014-08-23 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-08-23_final
2014-08-24 09:42:42	ga_ls8c_ard_3-0-0_094078_2014-08-24_final
2014-08-24 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-08-24_final
2014-08-24 11:21:35	ga_ls8c_ard_3-0-0_110078_2014-08-24_final
2014-08-25 10:25:57	ga_ls8c_ard_3-0-0_101078_2014-08-25_final
2014-10-29 09:30:01	ga_ls8c_ard_3-0-0_092077_2014-10-29_final
2014-10-29 09:30:25	ga_ls8c_ard_3-0-0_092078_2014-10-29_final
2014-11-01 11:40:13	ga_ls8c_ard_3-0-0_113078_2014-11-01_final
2014-11-02 10:44:37	ga_ls8c_ard_3-0-0_104078_2014-11-02_final
2014-11-03 09:48:36	ga_ls8c_ard_3-0-0_095077_2014-11-03_final
2014-11-03 09:49:00	ga_ls8c_ard_3-0-0_095078_2014-11-03_final
2014-11-03 11:27:53	ga_ls8c_ard_3-0-0_111078_2014-11-03_final
2015-01-14 10:38:16	ga_ls8c_ard_3-0-0_103078_2015-01-14_final
2015-01-15 09:42:39	ga_ls8c_ard_3-0-0_094078_2015-01-15_final
2015-01-15 11:21:32	ga_ls8c_ard_3-0-0_110078_2015-01-15_final
2015-01-16 10:25:54	ga_ls8c_ard_3-0-0_101078_2015-01-16_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-02-16 11:21:18	ga_ls8c_ard_3-0-0_110078_2015-02-16_final
2015-02-17 10:25:41	ga_ls8c_ard_3-0-0_101078_2015-02-17_final
2015-02-18 09:30:04	ga_ls8c_ard_3-0-0_092078_2015-02-18_final
2015-02-18 11:08:57	ga_ls8c_ard_3-0-0_108078_2015-02-18_final
2015-02-19 10:13:20	ga_ls8c_ard_3-0-0_099078_2015-02-19_final
2015-02-19 11:52:13	ga_ls8c_ard_3-0-0_115078_2015-02-19_final
2015-02-20 09:17:43	ga_ls8c_ard_3-0-0_090078_2015-02-19_final
2015-02-20 10:56:36	ga_ls8c_ard_3-0-0_106078_2015-02-20_final
2015-03-19 10:37:49	ga_ls8c_ard_3-0-0_103078_2015-03-19_final
2015-03-20 09:42:11	ga_ls8c_ard_3-0-0_094078_2015-03-20_final
2015-03-20 11:21:04	ga_ls8c_ard_3-0-0_110078_2015-03-20_final
2015-03-21 10:25:27	ga_ls8c_ard_3-0-0_101078_2015-03-21_final
2015-04-04 10:37:37	ga_ls8c_ard_3-0-0_103078_2015-04-04_final
2015-04-05 09:42:00	ga_ls8c_ard_3-0-0_094078_2015-04-05_final
2015-04-05 11:20:53	ga_ls8c_ard_3-0-0_110078_2015-04-05_final
2015-04-06 10:25:15	ga_ls8c_ard_3-0-0_101078_2015-04-06_final
2017-07-07 10:31:51	ga_ls8c_ard_3-0-0_102078_2017-07-07_final
2017-07-08 09:36:14	ga_ls8c_ard_3-0-0_093078_2017-07-08_final
2017-07-08 11:15:07	ga_ls8c_ard_3-0-0_109078_2017-07-08_final
2017-07-09 10:19:06	ga_ls8c_ard_3-0-0_100077_2017-07-09_final
2017-07-09 10:19:30	ga_ls8c_ard_3-0-0_100078_2017-07-09_final
2017-07-09 11:58:23	ga_ls8c_ard_3-0-0_116078_2017-07-09_final
2017-07-14 10:38:03	ga_ls8c_ard_3-0-0_103078_2017-07-14_final
2017-07-15 09:42:26	ga_ls8c_ard_3-0-0_094078_2017-07-15_final
2017-07-15 11:21:19	ga_ls8c_ard_3-0-0_110078_2017-07-15_final
2017-07-16 10:25:19	ga_ls8c_ard_3-0-0_101077_2017-07-16_final
2017-07-16 10:25:43	ga_ls8c_ard_3-0-0_101078_2017-07-16_final
2023-02-03 10:50:59	ga_ls8c_ard_3-2-1_105078_2023-02-03_final
2023-02-04 09:55:21	ga_ls8c_ard_3-2-1_096078_2023-02-04_final
2023-02-04 11:34:14	ga_ls8c_ard_3-2-1_112078_2023-02-04_final
2023-03-22 11:46:05	ga_ls8c_ard_3-2-1_114078_2023-03-22_final
2023-03-23 09:11:34	ga_ls8c_ard_3-2-1_089078_2023-03-22_final
2023-03-23 10:50:27	ga_ls8c_ard_3-2-1_105078_2023-03-23_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