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 10:07:53	ga_ls8c_ard_3-0-0_098075_2013-04-27_final
2013-04-27 11:46:46	ga_ls8c_ard_3-0-0_114075_2013-04-27_final
2013-04-28 09:12:17	ga_ls8c_ard_3-0-0_089075_2013-04-27_final
2013-04-29 09:55:33	ga_ls8c_ard_3-0-0_096075_2013-04-29_final
2013-04-29 11:34:26	ga_ls8c_ard_3-0-0_112075_2013-04-29_final
2013-04-30 10:38:49	ga_ls8c_ard_3-0-0_103075_2013-04-30_final
2013-05-01 11:22:05	ga_ls8c_ard_3-0-0_110075_2013-05-01_final
2013-05-02 10:26:29	ga_ls8c_ard_3-0-0_101075_2013-05-02_final
2013-05-22 10:02:00	ga_ls8c_ard_3-0-0_097075_2013-05-22_final
2013-05-22 11:40:53	ga_ls8c_ard_3-0-0_113075_2013-05-22_final
2013-05-23 10:45:16	ga_ls8c_ard_3-0-0_104075_2013-05-23_final
2013-05-24 09:49:39	ga_ls8c_ard_3-0-0_095075_2013-05-24_final
2013-05-25 10:32:55	ga_ls8c_ard_3-0-0_102075_2013-05-25_final
2013-05-26 09:37:17	ga_ls8c_ard_3-0-0_093075_2013-05-26_final
2013-05-26 11:16:10	ga_ls8c_ard_3-1-0_109075_2013-05-26_final
2013-07-01 10:50:58	ga_ls8c_ard_3-0-0_105074_2013-07-01_final
2013-07-01 10:51:22	ga_ls8c_ard_3-0-0_105075_2013-07-01_final
2013-07-02 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-07-02_final
2013-07-02 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-07-02_final
2013-07-02 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-07-02_final
2013-07-03 10:39:01	ga_ls8c_ard_3-0-0_103075_2013-07-03_final
2013-07-04 09:43:00	ga_ls8c_ard_3-0-0_094074_2013-07-04_final
2013-07-04 09:43:24	ga_ls8c_ard_3-0-0_094075_2013-07-04_final
2013-07-04 11:21:53	ga_ls8c_ard_3-0-0_110074_2013-07-04_final
2013-07-04 11:22:17	ga_ls8c_ard_3-0-0_110075_2013-07-04_final
2013-07-05 10:26:16	ga_ls8c_ard_3-0-0_101074_2013-07-05_final
2013-07-05 10:26:40	ga_ls8c_ard_3-0-0_101075_2013-07-05_final
2013-08-25 09:18:45	ga_ls8c_ard_3-0-0_090075_2013-08-24_final
2013-08-25 10:57:38	ga_ls8c_ard_3-0-0_106075_2013-08-25_final
2013-08-26 10:02:00	ga_ls8c_ard_3-0-0_097075_2013-08-26_final
2013-08-26 11:40:54	ga_ls8c_ard_3-0-0_113075_2013-08-26_final
2013-08-27 10:44:52	ga_ls8c_ard_3-0-0_104074_2013-08-27_final
2013-08-27 10:45:16	ga_ls8c_ard_3-0-0_104075_2013-08-27_final
2013-08-28 09:49:15	ga_ls8c_ard_3-0-0_095074_2013-08-28_final
2013-08-28 09:49:39	ga_ls8c_ard_3-0-0_095075_2013-08-28_final
2013-08-28 11:28:32	ga_ls8c_ard_3-0-0_111075_2013-08-28_final
2014-08-21 09:10:12	ga_ls8c_ard_3-0-0_089074_2014-08-20_final
2014-08-21 09:10:36	ga_ls8c_ard_3-0-0_089075_2014-08-20_final
2014-08-21 10:49:29	ga_ls8c_ard_3-0-0_105075_2014-08-21_final
2014-08-22 09:53:28	ga_ls8c_ard_3-0-0_096074_2014-08-22_final
2014-08-22 09:53:51	ga_ls8c_ard_3-0-0_096075_2014-08-22_final
2014-08-22 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-08-22_final
2014-08-22 11:32:45	ga_ls8c_ard_3-0-0_112075_2014-08-22_final
2014-08-23 10:37:07	ga_ls8c_ard_3-0-0_103075_2014-08-23_final
2014-08-24 09:41:06	ga_ls8c_ard_3-0-0_094074_2014-08-24_final
2014-08-24 09:41:30	ga_ls8c_ard_3-0-0_094075_2014-08-24_final
2014-08-24 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-08-24_final
2014-08-24 11:20:23	ga_ls8c_ard_3-0-0_110075_2014-08-24_final
2014-08-25 10:24:22	ga_ls8c_ard_3-0-0_101074_2014-08-25_final
2014-08-25 10:24:46	ga_ls8c_ard_3-0-0_101075_2014-08-25_final
2015-01-14 10:37:05	ga_ls8c_ard_3-0-0_103075_2015-01-14_final
2015-01-15 09:41:03	ga_ls8c_ard_3-0-0_094074_2015-01-15_final
2015-01-15 09:41:27	ga_ls8c_ard_3-0-0_094075_2015-01-15_final
2015-01-15 11:19:56	ga_ls8c_ard_3-0-0_110074_2015-01-15_final
2015-01-15 11:20:20	ga_ls8c_ard_3-0-0_110075_2015-01-15_final
2015-01-16 10:24:42	ga_ls8c_ard_3-0-0_101075_2015-01-16_final
2015-02-16 09:41:14	ga_ls8c_ard_3-0-0_094075_2015-02-16_final
2015-02-16 11:20:07	ga_ls8c_ard_3-0-0_110075_2015-02-16_final
2015-02-17 10:24:29	ga_ls8c_ard_3-0-0_101075_2015-02-17_final
2015-02-18 09:28:28	ga_ls8c_ard_3-0-0_092074_2015-02-17_final
2015-02-18 09:28:52	ga_ls8c_ard_3-0-0_092075_2015-02-17_final
2015-02-18 11:07:45	ga_ls8c_ard_3-0-0_108075_2015-02-18_final
2015-02-19 10:12:08	ga_ls8c_ard_3-0-0_099075_2015-02-19_final
2015-02-19 11:50:37	ga_ls8c_ard_3-0-0_115074_2015-02-19_final
2015-02-19 11:51:01	ga_ls8c_ard_3-0-0_115075_2015-02-19_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-20 10:55:24	ga_ls8c_ard_3-0-0_106075_2015-02-20_final
2015-03-19 10:36:37	ga_ls8c_ard_3-0-0_103075_2015-03-19_final
2015-03-20 09:41:00	ga_ls8c_ard_3-0-0_094075_2015-03-20_final
2015-03-20 11:19:53	ga_ls8c_ard_3-0-0_110075_2015-03-20_final
2015-03-21 10:24:15	ga_ls8c_ard_3-0-0_101075_2015-03-21_final
2015-04-04 10:36:25	ga_ls8c_ard_3-0-0_103075_2015-04-04_final
2015-04-05 09:40:48	ga_ls8c_ard_3-0-0_094075_2015-04-05_final
2015-04-05 11:19:41	ga_ls8c_ard_3-0-0_110075_2015-04-05_final
2015-04-06 10:24:03	ga_ls8c_ard_3-0-0_101075_2015-04-06_final
2017-07-07 10:30:15	ga_ls8c_ard_3-0-0_102074_2017-07-07_final
2017-07-07 10:30:39	ga_ls8c_ard_3-0-0_102075_2017-07-07_final
2017-07-08 09:34:38	ga_ls8c_ard_3-0-0_093074_2017-07-08_final
2017-07-08 09:35:02	ga_ls8c_ard_3-0-0_093075_2017-07-08_final
2017-07-08 11:13:31	ga_ls8c_ard_3-0-0_109074_2017-07-08_final
2017-07-08 11:13:55	ga_ls8c_ard_3-0-0_109075_2017-07-08_final
2017-07-09 10:17:54	ga_ls8c_ard_3-0-0_100074_2017-07-09_final
2017-07-09 10:18:18	ga_ls8c_ard_3-0-0_100075_2017-07-09_final
2017-07-09 11:56:47	ga_ls8c_ard_3-0-0_116074_2017-07-09_final
2017-07-09 11:57:11	ga_ls8c_ard_3-0-0_116075_2017-07-09_final
2017-07-14 10:36:27	ga_ls8c_ard_3-0-0_103074_2017-07-14_final
2017-07-14 10:36:51	ga_ls8c_ard_3-0-0_103075_2017-07-14_final
2017-07-15 09:40:50	ga_ls8c_ard_3-0-0_094074_2017-07-15_final
2017-07-15 09:41:14	ga_ls8c_ard_3-0-0_094075_2017-07-15_final
2017-07-15 11:19:44	ga_ls8c_ard_3-0-0_110074_2017-07-15_final
2017-07-15 11:20:07	ga_ls8c_ard_3-0-0_110075_2017-07-15_final
2017-07-16 10:24:31	ga_ls8c_ard_3-0-0_101075_2017-07-16_final
2023-02-03 10:49:47	ga_ls8c_ard_3-2-1_105075_2023-02-03_final
2023-02-04 09:53:46	ga_ls8c_ard_3-2-1_096074_2023-02-04_final
2023-02-04 09:54:10	ga_ls8c_ard_3-2-1_096075_2023-02-04_final
2023-02-04 11:32:39	ga_ls8c_ard_3-2-1_112074_2023-02-04_final
2023-02-04 11:33:03	ga_ls8c_ard_3-2-1_112075_2023-02-04_final
2023-03-22 11:44:53	ga_ls8c_ard_3-2-1_114075_2023-03-22_final
2023-03-23 09:10:22	ga_ls8c_ard_3-2-1_089075_2023-03-22_final
2023-03-23 10:49:15	ga_ls8c_ard_3-2-1_105075_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