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 11:03:37	ga_ls8c_ard_3-0-0_107076_2013-12-22_final
2013-12-23 10:08:00	ga_ls8c_ard_3-0-0_098076_2013-12-23_final
2013-12-23 11:46:53	ga_ls8c_ard_3-0-0_114076_2013-12-23_final
2013-12-24 10:51:15	ga_ls8c_ard_3-0-0_105076_2013-12-24_final
2013-12-26 10:38:53	ga_ls8c_ard_3-0-0_103076_2013-12-26_final
2013-12-27 09:42:51	ga_ls8c_ard_3-0-0_094075_2013-12-27_final
2013-12-27 09:43:15	ga_ls8c_ard_3-0-0_094076_2013-12-27_final
2013-12-27 11:22:08	ga_ls8c_ard_3-0-0_110076_2013-12-27_final
2014-04-21 10:12:37	ga_ls8c_ard_3-0-0_099076_2014-04-21_final
2014-04-21 11:51:30	ga_ls8c_ard_3-0-0_115076_2014-04-21_final
2014-04-22 09:16:59	ga_ls8c_ard_3-0-0_090076_2014-04-21_final
2014-04-22 10:55:52	ga_ls8c_ard_3-0-0_106076_2014-04-22_final
2016-08-07 11:57:25	ga_ls8c_ard_3-0-0_116075_2016-08-07_final
2016-08-07 11:57:49	ga_ls8c_ard_3-0-0_116076_2016-08-07_final
2016-08-08 09:22:54	ga_ls8c_ard_3-0-0_091075_2016-08-07_final
2016-08-08 09:23:18	ga_ls8c_ard_3-0-0_091076_2016-08-07_final
2016-08-08 11:01:47	ga_ls8c_ard_3-0-0_107075_2016-08-08_final
2016-08-08 11:02:11	ga_ls8c_ard_3-0-0_107076_2016-08-08_final
2016-10-09 09:35:32	ga_ls8c_ard_3-0-0_093075_2016-10-09_final
2016-10-09 09:35:56	ga_ls8c_ard_3-0-0_093076_2016-10-09_final
2016-10-09 11:14:49	ga_ls8c_ard_3-0-0_109076_2016-10-09_final
2016-10-10 10:18:48	ga_ls8c_ard_3-0-0_100075_2016-10-10_final
2016-10-10 10:19:12	ga_ls8c_ard_3-0-0_100076_2016-10-10_final
2016-10-10 11:57:41	ga_ls8c_ard_3-0-0_116075_2016-10-10_final
2016-10-10 11:58:05	ga_ls8c_ard_3-0-0_116076_2016-10-10_final
2016-10-11 09:23:11	ga_ls8c_ard_3-0-0_091075_2016-10-10_final
2016-10-11 09:23:35	ga_ls8c_ard_3-0-0_091076_2016-10-10_final
2016-10-11 11:02:04	ga_ls8c_ard_3-0-0_107075_2016-10-11_final
2016-10-11 11:02:28	ga_ls8c_ard_3-0-0_107076_2016-10-11_final
2019-07-11 10:43:09	ga_ls8c_ard_3-1-0_104075_2019-07-11_final
2019-07-11 10:43:33	ga_ls8c_ard_3-1-0_104076_2019-07-11_final
2019-07-12 09:47:56	ga_ls8c_ard_3-1-0_095076_2019-07-12_final
2019-07-12 11:26:25	ga_ls8c_ard_3-1-0_111075_2019-07-12_final
2019-07-12 11:26:49	ga_ls8c_ard_3-1-0_111076_2019-07-12_final
2019-07-13 10:30:48	ga_ls8c_ard_3-1-0_102075_2019-07-13_final
2019-07-13 10:31:12	ga_ls8c_ard_3-1-0_102076_2019-07-13_final
2019-07-14 09:35:11	ga_ls8c_ard_3-1-0_093075_2019-07-14_final
2019-07-14 09:35:35	ga_ls8c_ard_3-1-0_093076_2019-07-14_final
2019-07-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2019-07-14_final
2019-07-14 11:14:28	ga_ls8c_ard_3-1-0_109076_2019-07-14_final
2019-07-15 10:18:27	ga_ls8c_ard_3-1-0_100075_2019-07-15_final
2019-07-15 10:18:51	ga_ls8c_ard_3-1-0_100076_2019-07-15_final
2019-07-15 11:57:20	ga_ls8c_ard_3-1-0_116075_2019-07-15_final
2019-07-15 11:57:44	ga_ls8c_ard_3-1-0_116076_2019-07-15_final
2019-07-16 09:22:49	ga_ls8c_ard_3-1-0_091075_2019-07-15_final
2019-07-16 09:23:13	ga_ls8c_ard_3-1-0_091076_2019-07-15_final
2019-07-16 11:01:43	ga_ls8c_ard_3-1-0_107075_2019-07-16_final
2019-07-16 11:02:06	ga_ls8c_ard_3-1-0_107076_2019-07-16_final
2019-08-17 09:23:01	ga_ls8c_ard_3-1-0_091075_2019-08-16_final
2019-08-17 09:23:25	ga_ls8c_ard_3-1-0_091076_2019-08-16_final
2019-08-17 11:01:54	ga_ls8c_ard_3-1-0_107075_2019-08-17_final
2019-08-17 11:02:18	ga_ls8c_ard_3-1-0_107076_2019-08-17_final
2019-08-18 10:06:17	ga_ls8c_ard_3-1-0_098075_2019-08-18_final
2019-08-18 10:06:41	ga_ls8c_ard_3-1-0_098076_2019-08-18_final
2019-08-18 11:45:10	ga_ls8c_ard_3-1-0_114075_2019-08-18_final
2019-08-18 11:45:34	ga_ls8c_ard_3-1-0_114076_2019-08-18_final
2019-08-19 09:10:40	ga_ls8c_ard_3-1-0_089075_2019-08-18_final
2019-08-19 09:11:04	ga_ls8c_ard_3-1-0_089076_2019-08-18_final
2019-08-19 10:49:33	ga_ls8c_ard_3-1-0_105075_2019-08-19_final
2019-08-19 10:49:57	ga_ls8c_ard_3-1-0_105076_2019-08-19_final
2019-08-20 09:53:56	ga_ls8c_ard_3-1-0_096075_2019-08-20_final
2019-08-20 09:54:20	ga_ls8c_ard_3-1-0_096076_2019-08-20_final
2019-08-20 11:32:49	ga_ls8c_ard_3-1-0_112075_2019-08-20_final
2019-08-20 11:33:13	ga_ls8c_ard_3-1-0_112076_2019-08-20_final
2019-08-28 10:43:25	ga_ls8c_ard_3-1-0_104075_2019-08-28_final
2019-08-28 10:43:48	ga_ls8c_ard_3-1-0_104076_2019-08-28_final
2019-08-29 09:47:47	ga_ls8c_ard_3-1-0_095075_2019-08-29_final
2019-08-29 09:48:11	ga_ls8c_ard_3-1-0_095076_2019-08-29_final
2019-08-29 11:27:04	ga_ls8c_ard_3-1-0_111076_2019-08-29_final
2019-08-30 10:31:03	ga_ls8c_ard_3-1-0_102075_2019-08-30_final
2019-08-30 10:31:27	ga_ls8c_ard_3-1-0_102076_2019-08-30_final
2019-09-06 10:37:15	ga_ls8c_ard_3-1-0_103075_2019-09-06_final
2019-09-06 10:37:39	ga_ls8c_ard_3-1-0_103076_2019-09-06_final
2019-09-07 09:41:38	ga_ls8c_ard_3-1-0_094075_2019-09-07_final
2019-09-07 09:42:02	ga_ls8c_ard_3-1-0_094076_2019-09-07_final
2019-09-07 11:20:31	ga_ls8c_ard_3-1-0_110075_2019-09-07_final
2019-09-07 11:20:55	ga_ls8c_ard_3-1-0_110076_2019-09-07_final
2019-09-08 10:24:55	ga_ls8c_ard_3-1-0_101075_2019-09-08_final
2019-09-08 10:25:18	ga_ls8c_ard_3-1-0_101076_2019-09-08_final
2019-10-20 09:23:16	ga_ls8c_ard_3-1-0_091075_2019-10-19_final
2019-10-20 09:23:40	ga_ls8c_ard_3-1-0_091076_2019-10-19_final
2019-10-20 11:02:33	ga_ls8c_ard_3-1-0_107076_2019-10-20_final
2019-10-21 10:06:32	ga_ls8c_ard_3-1-0_098075_2019-10-21_final
2019-10-21 10:06:56	ga_ls8c_ard_3-1-0_098076_2019-10-21_final
2019-10-21 11:45:25	ga_ls8c_ard_3-1-0_114075_2019-10-21_final
2019-10-21 11:45:49	ga_ls8c_ard_3-1-0_114076_2019-10-21_final
2019-10-22 09:10:55	ga_ls8c_ard_3-1-0_089075_2019-10-21_final
2019-10-22 09:11:19	ga_ls8c_ard_3-1-0_089076_2019-10-21_final
2019-10-22 10:49:48	ga_ls8c_ard_3-1-0_105075_2019-10-22_final
2019-10-22 10:50:12	ga_ls8c_ard_3-1-0_105076_2019-10-22_final
2019-10-23 09:54:11	ga_ls8c_ard_3-1-0_096075_2019-10-23_final
2019-10-23 09:54:35	ga_ls8c_ard_3-1-0_096076_2019-10-23_final
2019-10-23 11:33:04	ga_ls8c_ard_3-1-0_112075_2019-10-23_final
2019-10-23 11:33:28	ga_ls8c_ard_3-1-0_112076_2019-10-23_final
2019-10-24 10:37:26	ga_ls8c_ard_3-1-0_103075_2019-10-24_final
2019-10-24 10:37:50	ga_ls8c_ard_3-1-0_103076_2019-10-24_final
2019-10-25 09:41:49	ga_ls8c_ard_3-1-0_094075_2019-10-25_final
2019-10-25 09:42:13	ga_ls8c_ard_3-1-0_094076_2019-10-25_final
2019-10-25 11:21:06	ga_ls8c_ard_3-1-0_110076_2019-10-25_final
2019-10-26 10:25:05	ga_ls8c_ard_3-1-0_101075_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