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 10:09:29	ga_ls8c_ard_3-0-0_098079_2013-04-27_final
2013-04-27 11:48:22	ga_ls8c_ard_3-0-0_114079_2013-04-27_final
2013-04-28 09:13:52	ga_ls8c_ard_3-0-0_089079_2013-04-27_final
2013-04-28 10:52:45	ga_ls8c_ard_3-0-0_105079_2013-04-28_final
2013-04-29 09:57:09	ga_ls8c_ard_3-0-0_096079_2013-04-29_final
2013-04-29 11:36:02	ga_ls8c_ard_3-0-0_112079_2013-04-29_final
2013-04-30 10:40:25	ga_ls8c_ard_3-0-0_103079_2013-04-30_final
2013-05-01 09:44:48	ga_ls8c_ard_3-0-0_094079_2013-05-01_final
2013-05-01 11:23:41	ga_ls8c_ard_3-0-0_110079_2013-05-01_final
2013-05-02 10:28:04	ga_ls8c_ard_3-0-0_101079_2013-05-02_final
2013-05-22 10:03:35	ga_ls8c_ard_3-0-0_097079_2013-05-22_final
2013-05-22 11:42:29	ga_ls8c_ard_3-0-0_113079_2013-05-22_final
2013-05-23 10:46:51	ga_ls8c_ard_3-0-0_104079_2013-05-23_final
2013-05-24 09:51:14	ga_ls8c_ard_3-0-0_095079_2013-05-24_final
2013-05-24 11:30:07	ga_ls8c_ard_3-0-0_111079_2013-05-24_final
2013-05-25 10:34:30	ga_ls8c_ard_3-0-0_102079_2013-05-25_final
2013-05-26 09:38:53	ga_ls8c_ard_3-0-0_093079_2013-05-26_final
2013-05-26 11:17:46	ga_ls8c_ard_3-0-0_109079_2013-05-26_final
2013-07-01 10:52:34	ga_ls8c_ard_3-0-0_105078_2013-07-01_final
2013-07-01 10:52:58	ga_ls8c_ard_3-0-0_105079_2013-07-01_final
2013-07-02 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-02_final
2013-07-02 09:57:21	ga_ls8c_ard_3-0-0_096079_2013-07-02_final
2013-07-02 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-02_final
2013-07-02 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-07-02_final
2013-07-03 10:40:13	ga_ls8c_ard_3-0-0_103078_2013-07-03_final
2013-07-03 10:40:37	ga_ls8c_ard_3-0-0_103079_2013-07-03_final
2013-07-04 09:44:36	ga_ls8c_ard_3-0-0_094078_2013-07-04_final
2013-07-04 09:45:00	ga_ls8c_ard_3-0-0_094079_2013-07-04_final
2013-07-04 11:23:53	ga_ls8c_ard_3-0-0_110079_2013-07-04_final
2013-08-25 09:20:20	ga_ls8c_ard_3-0-0_090079_2013-08-24_final
2013-08-25 10:58:50	ga_ls8c_ard_3-0-0_106078_2013-08-25_final
2013-08-25 10:59:13	ga_ls8c_ard_3-0-0_106079_2013-08-25_final
2013-08-26 10:03:36	ga_ls8c_ard_3-0-0_097079_2013-08-26_final
2013-08-26 11:42:29	ga_ls8c_ard_3-0-0_113079_2013-08-26_final
2013-08-27 10:46:52	ga_ls8c_ard_3-0-0_104079_2013-08-27_final
2013-08-28 09:51:15	ga_ls8c_ard_3-0-0_095079_2013-08-28_final
2013-08-28 11:30:08	ga_ls8c_ard_3-0-0_111079_2013-08-28_final
2014-08-17 09:36:54	ga_ls8c_ard_3-0-0_093079_2014-08-17_final
2014-08-18 10:20:10	ga_ls8c_ard_3-0-0_100079_2014-08-18_final
2014-08-19 09:24:33	ga_ls8c_ard_3-0-0_091079_2014-08-18_final
2014-08-19 11:03:02	ga_ls8c_ard_3-0-0_107078_2014-08-19_final
2014-08-19 11:03:26	ga_ls8c_ard_3-0-0_107079_2014-08-19_final
2014-08-20 10:07:25	ga_ls8c_ard_3-0-0_098078_2014-08-20_final
2014-08-20 10:07:49	ga_ls8c_ard_3-0-0_098079_2014-08-20_final
2014-08-20 11:46:18	ga_ls8c_ard_3-0-0_114078_2014-08-20_final
2014-08-20 11:46:42	ga_ls8c_ard_3-0-0_114079_2014-08-20_final
2014-08-21 09:12:12	ga_ls8c_ard_3-0-0_089079_2014-08-20_final
2014-08-21 10:50:41	ga_ls8c_ard_3-0-0_105078_2014-08-21_final
2014-08-21 10:51:04	ga_ls8c_ard_3-0-0_105079_2014-08-21_final
2014-08-22 09:55:27	ga_ls8c_ard_3-0-0_096079_2014-08-22_final
2014-08-22 11:34:20	ga_ls8c_ard_3-0-0_112079_2014-08-22_final
2014-08-23 10:38:43	ga_ls8c_ard_3-0-0_103079_2014-08-23_final
2014-08-24 09:42:42	ga_ls8c_ard_3-0-0_094078_2014-08-24_final
2014-08-24 09:43:06	ga_ls8c_ard_3-0-0_094079_2014-08-24_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_final
2014-08-25 10:25:57	ga_ls8c_ard_3-0-0_101078_2014-08-25_final
2014-08-25 10:26:21	ga_ls8c_ard_3-0-0_101079_2014-08-25_final
2015-01-14 10:38:40	ga_ls8c_ard_3-0-0_103079_2015-01-14_final
2015-01-15 09:43:03	ga_ls8c_ard_3-0-0_094079_2015-01-15_final
2015-01-15 11:21:56	ga_ls8c_ard_3-0-0_110079_2015-01-15_final
2015-01-16 10:26:18	ga_ls8c_ard_3-0-0_101079_2015-01-16_final
2015-02-16 09:42:49	ga_ls8c_ard_3-0-0_094079_2015-02-16_final
2015-02-16 11:21:42	ga_ls8c_ard_3-0-0_110079_2015-02-16_final
2015-02-17 10:25:41	ga_ls8c_ard_3-0-0_101078_2015-02-17_final
2015-02-17 10:26:05	ga_ls8c_ard_3-0-0_101079_2015-02-17_final
2015-02-18 09:30:28	ga_ls8c_ard_3-0-0_092079_2015-02-18_final
2015-02-18 11:09:21	ga_ls8c_ard_3-0-0_108079_2015-02-18_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-19 11:52:37	ga_ls8c_ard_3-0-0_115079_2015-02-19_final
2015-02-20 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-02-19_final
2015-02-20 10:56:59	ga_ls8c_ard_3-0-0_106079_2015-02-20_final
2015-03-19 10:38:13	ga_ls8c_ard_3-0-0_103079_2015-03-19_final
2015-03-20 09:42:35	ga_ls8c_ard_3-0-0_094079_2015-03-20_final
2015-03-20 11:21:28	ga_ls8c_ard_3-0-0_110079_2015-03-20_final
2015-03-21 10:25:51	ga_ls8c_ard_3-0-0_101079_2015-03-21_final
2015-04-04 10:38:01	ga_ls8c_ard_3-0-0_103079_2015-04-04_final
2015-04-05 09:42:23	ga_ls8c_ard_3-0-0_094079_2015-04-05_final
2015-04-05 11:21:17	ga_ls8c_ard_3-0-0_110079_2015-04-05_final
2015-04-06 10:25:39	ga_ls8c_ard_3-0-0_101079_2015-04-06_final
2017-07-07 10:31:51	ga_ls8c_ard_3-0-0_102078_2017-07-07_final
2017-07-07 10:32:15	ga_ls8c_ard_3-0-0_102079_2017-07-07_final
2017-07-08 09:36:14	ga_ls8c_ard_3-0-0_093078_2017-07-08_final
2017-07-08 09:36:38	ga_ls8c_ard_3-0-0_093079_2017-07-08_final
2017-07-08 11:15:07	ga_ls8c_ard_3-0-0_109078_2017-07-08_final
2017-07-08 11:15:31	ga_ls8c_ard_3-0-0_109079_2017-07-08_final
2017-07-09 10:19:30	ga_ls8c_ard_3-0-0_100078_2017-07-09_final
2017-07-09 10:19:54	ga_ls8c_ard_3-0-0_100079_2017-07-09_final
2017-07-09 11:58:23	ga_ls8c_ard_3-0-0_116078_2017-07-09_final
2017-07-14 10:38:27	ga_ls8c_ard_3-0-0_103079_2017-07-14_final
2017-07-15 09:42:50	ga_ls8c_ard_3-0-0_094079_2017-07-15_final
2017-07-15 11:21:43	ga_ls8c_ard_3-0-0_110079_2017-07-15_final
2017-07-16 10:25:43	ga_ls8c_ard_3-0-0_101078_2017-07-16_final
2017-07-16 10:26:06	ga_ls8c_ard_3-0-0_101079_2017-07-16_final
2023-02-03 10:51:23	ga_ls8c_ard_3-2-1_105079_2023-02-03_final
2023-02-04 09:55:21	ga_ls8c_ard_3-2-1_096078_2023-02-04_final
2023-02-04 09:55:45	ga_ls8c_ard_3-2-1_096079_2023-02-04_final
2023-02-04 11:34:38	ga_ls8c_ard_3-2-1_112079_2023-02-04_final
2023-03-22 11:46:29	ga_ls8c_ard_3-2-1_114079_2023-03-22_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_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