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
2014-07-19 10:06:49	ga_ls8c_ard_3-0-0_098077_2014-07-19_final
2014-07-19 10:07:13	ga_ls8c_ard_3-0-0_098078_2014-07-19_final
2014-07-19 11:46:06	ga_ls8c_ard_3-0-0_114078_2014-07-19_final
2014-07-20 09:11:35	ga_ls8c_ard_3-0-0_089078_2014-07-19_final
2014-07-20 10:50:28	ga_ls8c_ard_3-0-0_105078_2014-07-20_final
2014-07-21 09:54:27	ga_ls8c_ard_3-0-0_096077_2014-07-21_final
2014-07-21 09:54:51	ga_ls8c_ard_3-0-0_096078_2014-07-21_final
2014-07-21 11:33:44	ga_ls8c_ard_3-0-0_112078_2014-07-21_final
2014-07-22 10:38:07	ga_ls8c_ard_3-0-0_103078_2014-07-22_final
2014-07-23 09:42:30	ga_ls8c_ard_3-0-0_094078_2014-07-23_final
2014-07-23 11:21:23	ga_ls8c_ard_3-0-0_110078_2014-07-23_final
2014-07-24 10:25:21	ga_ls8c_ard_3-0-0_101077_2014-07-24_final
2014-07-24 10:25:45	ga_ls8c_ard_3-0-0_101078_2014-07-24_final
2014-07-25 09:30:08	ga_ls8c_ard_3-0-0_092078_2014-07-25_final
2014-07-25 11:08:37	ga_ls8c_ard_3-0-0_108077_2014-07-25_final
2014-07-25 11:09:01	ga_ls8c_ard_3-0-0_108078_2014-07-25_final
2014-07-26 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-07-26_final
2014-07-26 10:13:25	ga_ls8c_ard_3-0-0_099078_2014-07-26_final
2014-07-26 11:52:18	ga_ls8c_ard_3-0-0_115078_2014-07-26_final
2014-07-27 09:17:24	ga_ls8c_ard_3-0-0_090077_2014-07-26_final
2014-07-27 09:17:48	ga_ls8c_ard_3-0-0_090078_2014-07-26_final
2014-07-27 10:56:17	ga_ls8c_ard_3-0-0_106077_2014-07-27_final
2014-07-27 10:56:41	ga_ls8c_ard_3-0-0_106078_2014-07-27_final
2014-09-11 09:30:24	ga_ls8c_ard_3-0-0_092078_2014-09-11_final
2014-09-11 11:09:17	ga_ls8c_ard_3-0-0_108078_2014-09-11_final
2014-09-12 10:13:16	ga_ls8c_ard_3-0-0_099077_2014-09-12_final
2014-09-12 10:13:40	ga_ls8c_ard_3-0-0_099078_2014-09-12_final
2014-09-12 11:52:33	ga_ls8c_ard_3-0-0_115078_2014-09-12_final
2014-09-13 09:17:39	ga_ls8c_ard_3-0-0_090077_2014-09-12_final
2014-09-13 09:18:03	ga_ls8c_ard_3-0-0_090078_2014-09-12_final
2014-09-13 10:56:55	ga_ls8c_ard_3-0-0_106078_2014-09-13_final
2014-09-27 09:30:22	ga_ls8c_ard_3-0-0_092078_2014-09-27_final
2014-09-27 11:09:15	ga_ls8c_ard_3-0-0_108078_2014-09-27_final
2014-09-28 10:13:38	ga_ls8c_ard_3-0-0_099078_2014-09-28_final
2014-09-28 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-09-28_final
2014-09-29 09:17:38	ga_ls8c_ard_3-0-0_090077_2014-09-28_final
2014-09-29 09:18:02	ga_ls8c_ard_3-0-0_090078_2014-09-28_final
2014-09-29 10:56:55	ga_ls8c_ard_3-0-0_106078_2014-09-29_final
2014-10-07 10:07:32	ga_ls8c_ard_3-0-0_098078_2014-10-07_final
2014-10-07 11:46:01	ga_ls8c_ard_3-0-0_114077_2014-10-07_final
2014-10-07 11:46:25	ga_ls8c_ard_3-0-0_114078_2014-10-07_final
2014-10-08 09:11:31	ga_ls8c_ard_3-0-0_089077_2014-10-07_final
2014-10-08 09:11:55	ga_ls8c_ard_3-0-0_089078_2014-10-07_final
2014-10-08 10:50:48	ga_ls8c_ard_3-0-0_105078_2014-10-08_final
2014-10-09 09:54:47	ga_ls8c_ard_3-0-0_096077_2014-10-09_final
2014-10-09 09:55:11	ga_ls8c_ard_3-0-0_096078_2014-10-09_final
2014-10-09 11:34:04	ga_ls8c_ard_3-0-0_112078_2014-10-09_final
2014-10-10 10:38:26	ga_ls8c_ard_3-0-0_103078_2014-10-10_final
2014-10-11 09:42:49	ga_ls8c_ard_3-0-0_094078_2014-10-11_final
2014-10-11 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-10-11_final
2014-10-12 10:26:06	ga_ls8c_ard_3-0-0_101078_2014-10-12_final
2014-12-07 09:36:11	ga_ls8c_ard_3-0-0_093077_2014-12-07_final
2014-12-07 09:36:35	ga_ls8c_ard_3-0-0_093078_2014-12-07_final
2014-12-07 11:15:28	ga_ls8c_ard_3-0-0_109078_2014-12-07_final
2014-12-08 10:19:50	ga_ls8c_ard_3-0-0_100078_2014-12-08_final
2014-12-09 09:24:12	ga_ls8c_ard_3-0-0_091078_2014-12-08_final
2014-12-09 11:03:05	ga_ls8c_ard_3-0-0_107078_2014-12-09_final
2014-12-10 10:07:26	ga_ls8c_ard_3-0-0_098078_2014-12-10_final
2014-12-10 11:46:19	ga_ls8c_ard_3-0-0_114078_2014-12-10_final
2014-12-11 09:11:48	ga_ls8c_ard_3-0-0_089078_2014-12-10_final
2014-12-11 10:50:41	ga_ls8c_ard_3-0-0_105078_2014-12-11_final
2014-12-12 09:55:03	ga_ls8c_ard_3-0-0_096078_2014-12-12_final
2014-12-12 11:33:56	ga_ls8c_ard_3-0-0_112078_2014-12-12_final
2015-08-23 10:07:06	ga_ls8c_ard_3-0-0_098078_2015-08-23_final
2015-08-23 11:45:59	ga_ls8c_ard_3-0-0_114078_2015-08-23_final
2015-08-24 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-08-23_final
2015-08-24 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-08-23_final
2015-08-24 10:49:58	ga_ls8c_ard_3-0-0_105077_2015-08-24_final
2015-08-24 10:50:22	ga_ls8c_ard_3-0-0_105078_2015-08-24_final
2015-08-25 09:54:45	ga_ls8c_ard_3-0-0_096078_2015-08-25_final
2015-08-25 11:33:39	ga_ls8c_ard_3-0-0_112078_2015-08-25_final
2015-11-24 09:36:35	ga_ls8c_ard_3-0-0_093078_2015-11-24_final
2015-11-25 10:19:51	ga_ls8c_ard_3-0-0_100078_2015-11-25_final
2015-11-25 11:58:44	ga_ls8c_ard_3-0-0_116078_2015-11-25_final
2015-11-26 09:23:50	ga_ls8c_ard_3-0-0_091077_2015-11-25_final
2015-11-26 09:24:14	ga_ls8c_ard_3-0-0_091078_2015-11-25_final
2015-11-26 11:03:07	ga_ls8c_ard_3-0-0_107078_2015-11-26_final
2019-03-10 09:23:42	ga_ls8c_ard_3-1-0_091078_2019-03-09_final
2019-03-10 11:02:35	ga_ls8c_ard_3-1-0_107078_2019-03-10_final
2019-03-11 10:06:58	ga_ls8c_ard_3-1-0_098078_2019-03-11_final
2019-03-11 11:45:51	ga_ls8c_ard_3-1-0_114078_2019-03-11_final
2019-03-12 09:11:20	ga_ls8c_ard_3-1-0_089078_2019-03-11_final
2019-03-12 10:50:13	ga_ls8c_ard_3-1-0_105078_2019-03-12_final
2019-03-13 09:54:35	ga_ls8c_ard_3-1-0_096078_2019-03-13_final
2019-03-13 11:33:28	ga_ls8c_ard_3-1-0_112078_2019-03-13_final
2019-04-08 10:31:34	ga_ls8c_ard_3-1-0_102078_2019-04-08_final
2019-04-09 09:35:56	ga_ls8c_ard_3-1-0_093078_2019-04-09_final
2019-04-09 11:14:49	ga_ls8c_ard_3-1-0_109078_2019-04-09_final
2019-04-10 10:19:12	ga_ls8c_ard_3-1-0_100078_2019-04-10_final
2019-04-10 11:58:05	ga_ls8c_ard_3-1-0_116078_2019-04-10_final
2019-04-11 09:23:34	ga_ls8c_ard_3-1-0_091078_2019-04-10_final
2019-04-11 11:02:27	ga_ls8c_ard_3-1-0_107078_2019-04-11_final
2019-09-25 09:30:35	ga_ls8c_ard_3-1-0_092078_2019-09-25_final
2019-09-25 11:09:28	ga_ls8c_ard_3-1-0_108078_2019-09-25_final
2019-11-09 10:38:13	ga_ls8c_ard_3-1-0_103077_2019-11-09_final
2019-11-09 10:38:37	ga_ls8c_ard_3-1-0_103078_2019-11-09_final
2019-11-10 09:42:59	ga_ls8c_ard_3-1-0_094078_2019-11-10_final
2019-11-10 11:21:52	ga_ls8c_ard_3-1-0_110078_2019-11-10_final
2019-11-11 10:26:15	ga_ls8c_ard_3-1-0_101078_2019-11-11_final
2019-11-12 09:30:37	ga_ls8c_ard_3-1-0_092078_2019-11-12_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