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
2015-01-04 10:00:00	ga_ls8c_ard_3-0-0_097075_2015-01-04_final
2015-01-04 11:38:53	ga_ls8c_ard_3-0-0_113075_2015-01-04_final
2015-01-05 10:43:16	ga_ls8c_ard_3-0-0_104075_2015-01-05_final
2015-01-06 09:47:39	ga_ls8c_ard_3-0-0_095075_2015-01-06_final
2015-01-06 11:26:32	ga_ls8c_ard_3-0-0_111075_2015-01-06_final
2015-01-07 10:30:55	ga_ls8c_ard_3-0-0_102075_2015-01-07_final
2015-02-12 10:05:59	ga_ls8c_ard_3-0-0_098075_2015-02-12_final
2015-02-12 11:44:52	ga_ls8c_ard_3-0-0_114075_2015-02-12_final
2015-02-13 09:10:20	ga_ls8c_ard_3-0-0_089075_2015-02-12_final
2015-02-13 10:49:13	ga_ls8c_ard_3-0-0_105075_2015-02-13_final
2015-02-14 11:32:28	ga_ls8c_ard_3-0-0_112075_2015-02-14_final
2015-02-15 10:36:51	ga_ls8c_ard_3-0-0_103075_2015-02-15_final
2015-03-09 09:59:38	ga_ls8c_ard_3-0-0_097075_2015-03-09_final
2015-03-09 11:38:31	ga_ls8c_ard_3-0-0_113075_2015-03-09_final
2015-03-10 10:42:52	ga_ls8c_ard_3-0-0_104075_2015-03-10_final
2015-03-11 09:47:14	ga_ls8c_ard_3-0-0_095075_2015-03-11_final
2015-03-11 11:26:07	ga_ls8c_ard_3-0-0_111075_2015-03-11_final
2015-03-12 10:30:29	ga_ls8c_ard_3-0-0_102075_2015-03-12_final
2015-03-25 09:59:29	ga_ls8c_ard_3-0-0_097075_2015-03-25_final
2015-03-25 11:38:22	ga_ls8c_ard_3-0-0_113075_2015-03-25_final
2015-03-26 10:42:44	ga_ls8c_ard_3-0-0_104075_2015-03-26_final
2015-03-27 09:47:06	ga_ls8c_ard_3-0-0_095075_2015-03-27_final
2015-03-27 11:25:59	ga_ls8c_ard_3-0-0_111075_2015-03-27_final
2015-03-28 10:30:21	ga_ls8c_ard_3-0-0_102075_2015-03-28_final
2015-04-18 10:48:47	ga_ls8c_ard_3-0-0_105075_2015-04-18_final
2015-04-19 09:53:09	ga_ls8c_ard_3-0-0_096075_2015-04-19_final
2015-04-19 11:32:02	ga_ls8c_ard_3-0-0_112075_2015-04-19_final
2015-05-09 09:28:09	ga_ls8c_ard_3-0-0_092075_2015-05-08_final
2015-05-09 11:07:01	ga_ls8c_ard_3-0-0_108075_2015-05-09_final
2015-05-10 10:11:23	ga_ls8c_ard_3-0-0_099075_2015-05-10_final
2015-05-10 11:50:17	ga_ls8c_ard_3-0-0_115075_2015-05-10_final
2015-05-11 09:15:45	ga_ls8c_ard_3-0-0_090075_2015-05-10_final
2015-05-11 10:54:38	ga_ls8c_ard_3-0-0_106075_2015-05-11_final
2016-10-19 11:51:33	ga_ls8c_ard_3-0-0_115075_2016-10-19_final
2016-10-20 09:17:02	ga_ls8c_ard_3-0-0_090075_2016-10-19_final
2016-10-20 10:55:55	ga_ls8c_ard_3-0-0_106075_2016-10-20_final
2016-11-20 10:12:40	ga_ls8c_ard_3-0-0_099075_2016-11-20_final
2016-11-20 11:51:33	ga_ls8c_ard_3-0-0_115075_2016-11-20_final
2016-11-21 09:17:02	ga_ls8c_ard_3-0-0_090075_2016-11-20_final
2016-11-21 10:55:55	ga_ls8c_ard_3-0-0_106075_2016-11-21_final
2016-11-22 10:00:18	ga_ls8c_ard_3-0-0_097075_2016-11-22_final
2016-11-22 11:39:11	ga_ls8c_ard_3-0-0_113075_2016-11-22_final
2016-12-08 10:00:16	ga_ls8c_ard_3-0-0_097075_2016-12-08_final
2016-12-08 11:39:09	ga_ls8c_ard_3-0-0_113075_2016-12-08_final
2016-12-09 10:43:32	ga_ls8c_ard_3-0-0_104075_2016-12-09_final
2016-12-10 09:47:54	ga_ls8c_ard_3-0-0_095075_2016-12-10_final
2016-12-10 11:26:47	ga_ls8c_ard_3-0-0_111075_2016-12-10_final
2017-01-19 10:37:11	ga_ls8c_ard_3-0-0_103075_2017-01-19_final
2017-01-20 09:41:33	ga_ls8c_ard_3-0-0_094075_2017-01-20_final
2017-01-20 11:20:26	ga_ls8c_ard_3-0-0_110075_2017-01-20_final
2017-01-21 10:24:48	ga_ls8c_ard_3-0-0_101075_2017-01-21_final
2017-01-22 09:29:11	ga_ls8c_ard_3-0-0_092075_2017-01-21_final
2017-01-22 11:08:04	ga_ls8c_ard_3-0-0_108075_2017-01-22_final
2017-03-05 10:05:58	ga_ls8c_ard_3-0-0_098075_2017-03-05_final
2017-03-05 11:44:51	ga_ls8c_ard_3-0-0_114075_2017-03-05_final
2017-03-06 09:10:20	ga_ls8c_ard_3-0-0_089075_2017-03-05_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-03-07 09:53:35	ga_ls8c_ard_3-0-0_096075_2017-03-07_final
2017-03-07 11:32:28	ga_ls8c_ard_3-0-0_112075_2017-03-07_final
2017-03-11 09:28:50	ga_ls8c_ard_3-0-0_092075_2017-03-10_final
2017-03-11 11:07:43	ga_ls8c_ard_3-0-0_108075_2017-03-11_final
2017-10-21 09:29:22	ga_ls8c_ard_3-0-0_092075_2017-10-20_final
2017-10-21 11:08:15	ga_ls8c_ard_3-0-0_108075_2017-10-21_final
2017-12-21 10:37:14	ga_ls8c_ard_3-0-0_103075_2017-12-21_final
2017-12-22 09:41:37	ga_ls8c_ard_3-0-0_094075_2017-12-22_final
2017-12-22 11:20:30	ga_ls8c_ard_3-0-0_110075_2017-12-22_final
2017-12-23 10:24:53	ga_ls8c_ard_3-0-0_101075_2017-12-23_final
2017-12-24 09:29:15	ga_ls8c_ard_3-0-0_092075_2017-12-23_final
2017-12-24 11:08:08	ga_ls8c_ard_3-0-0_108075_2017-12-24_final
2018-02-19 09:22:40	ga_ls8c_ard_3-0-0_091075_2018-02-18_final
2018-02-19 11:01:33	ga_ls8c_ard_3-0-0_107075_2018-02-19_final
2018-02-20 10:05:55	ga_ls8c_ard_3-0-0_098075_2018-02-20_final
2018-02-20 11:44:48	ga_ls8c_ard_3-0-0_114075_2018-02-20_final
2018-02-21 09:10:17	ga_ls8c_ard_3-0-0_089075_2018-02-20_final
2018-02-21 10:49:10	ga_ls8c_ard_3-0-0_105075_2018-02-21_final
2018-02-22 09:53:32	ga_ls8c_ard_3-0-0_096075_2018-02-22_final
2018-02-22 11:32:25	ga_ls8c_ard_3-0-0_112075_2018-02-22_final
2018-02-23 10:36:48	ga_ls8c_ard_3-0-0_103075_2018-02-23_final
2018-02-24 09:41:10	ga_ls8c_ard_3-0-0_094075_2018-02-24_final
2018-02-24 11:20:03	ga_ls8c_ard_3-0-0_110075_2018-02-24_final
2018-02-25 10:24:25	ga_ls8c_ard_3-0-0_101075_2018-02-25_final
2018-02-26 09:28:47	ga_ls8c_ard_3-0-0_092075_2018-02-25_final
2018-02-26 11:07:40	ga_ls8c_ard_3-0-0_108075_2018-02-26_final
2018-03-31 10:11:47	ga_ls8c_ard_3-0-0_099075_2018-03-31_final
2018-03-31 11:50:40	ga_ls8c_ard_3-0-0_115075_2018-03-31_final
2018-04-01 09:16:09	ga_ls8c_ard_3-0-0_090075_2018-03-31_final
2018-04-01 10:55:02	ga_ls8c_ard_3-0-0_106075_2018-04-01_final
2018-04-02 09:59:24	ga_ls8c_ard_3-0-0_097075_2018-04-02_final
2018-04-02 11:38:17	ga_ls8c_ard_3-0-0_113075_2018-04-02_final
2018-04-03 10:42:39	ga_ls8c_ard_3-0-0_104075_2018-04-03_final
2018-04-04 09:47:01	ga_ls8c_ard_3-0-0_095075_2018-04-04_final
2018-04-04 11:25:54	ga_ls8c_ard_3-0-0_111075_2018-04-04_final
2018-04-05 10:30:17	ga_ls8c_ard_3-0-0_102075_2018-04-05_final
2018-05-05 10:42:21	ga_ls8c_ard_3-0-0_104075_2018-05-05_final
2018-05-06 09:46:43	ga_ls8c_ard_3-0-0_095075_2018-05-06_final
2018-05-06 11:25:36	ga_ls8c_ard_3-0-0_111075_2018-05-06_final
2018-05-07 10:29:58	ga_ls8c_ard_3-0-0_102075_2018-05-07_final
2018-07-17 10:36:13	ga_ls8c_ard_3-0-0_103075_2018-07-17_final
2018-07-18 09:40:36	ga_ls8c_ard_3-0-0_094075_2018-07-18_final
2018-07-18 11:19:29	ga_ls8c_ard_3-0-0_110075_2018-07-18_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