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
2013-03-31 09:33:27	ga_ls8c_ard_3-0-0_092078_2013-03-31_final
2013-03-31 11:12:01	ga_ls8c_ard_3-0-0_108078_2013-03-31_final
2013-04-01 10:12:02	ga_ls8c_ard_3-0-0_099078_2013-04-01_final
2013-04-01 11:50:36	ga_ls8c_ard_3-0-0_114078_2013-04-01_final
2013-04-02 10:50:36	ga_ls8c_ard_3-0-0_105078_2013-04-02_final
2013-05-01 09:44:24	ga_ls8c_ard_3-0-0_094078_2013-05-01_final
2013-07-01 10:52:34	ga_ls8c_ard_3-0-0_105078_2013-07-01_final
2013-07-02 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-07-02_final
2013-07-02 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-02_final
2013-07-02 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-02_final
2013-07-03 10:40:13	ga_ls8c_ard_3-0-0_103078_2013-07-03_final
2013-07-04 09:44:36	ga_ls8c_ard_3-0-0_094078_2013-07-04_final
2013-07-04 11:23:29	ga_ls8c_ard_3-0-0_110078_2013-07-04_final
2013-07-05 10:27:28	ga_ls8c_ard_3-0-0_101077_2013-07-05_final
2013-07-05 10:27:52	ga_ls8c_ard_3-0-0_101078_2013-07-05_final
2013-08-21 11:23:32	ga_ls8c_ard_3-0-0_110078_2013-08-21_final
2013-08-22 10:27:55	ga_ls8c_ard_3-0-0_101078_2013-08-22_final
2013-08-23 09:32:18	ga_ls8c_ard_3-0-0_092078_2013-08-23_final
2013-08-23 11:11:11	ga_ls8c_ard_3-0-0_108078_2013-08-23_final
2013-08-24 10:15:10	ga_ls8c_ard_3-0-0_099077_2013-08-24_final
2013-08-24 10:15:34	ga_ls8c_ard_3-0-0_099078_2013-08-24_final
2013-08-24 11:54:27	ga_ls8c_ard_3-0-0_115078_2013-08-24_final
2013-09-11 10:03:10	ga_ls8c_ard_3-0-0_097078_2013-09-11_final
2013-09-11 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-09-11_final
2013-09-13 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-09-13_final
2013-09-13 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-09-13_final
2013-09-15 09:38:25	ga_ls8c_ard_3-0-0_093078_2013-09-15_final
2013-09-15 11:17:18	ga_ls8c_ard_3-0-0_109078_2013-09-15_final
2018-02-23 10:37:59	ga_ls8c_ard_3-0-0_103078_2018-02-23_final
2018-02-24 09:42:22	ga_ls8c_ard_3-0-0_094078_2018-02-24_final
2018-02-24 11:21:15	ga_ls8c_ard_3-0-0_110078_2018-02-24_final
2018-02-25 10:25:37	ga_ls8c_ard_3-0-0_101078_2018-02-25_final
2018-02-26 09:29:59	ga_ls8c_ard_3-0-0_092078_2018-02-25_final
2018-02-26 11:08:52	ga_ls8c_ard_3-0-0_108078_2018-02-26_final
2018-03-11 10:37:51	ga_ls8c_ard_3-0-0_103078_2018-03-11_final
2018-03-12 09:42:13	ga_ls8c_ard_3-0-0_094078_2018-03-12_final
2018-03-12 11:21:06	ga_ls8c_ard_3-0-0_110078_2018-03-12_final
2018-03-13 10:25:28	ga_ls8c_ard_3-0-0_101078_2018-03-13_final
2018-03-14 09:29:50	ga_ls8c_ard_3-0-0_092078_2018-03-13_final
2018-03-14 11:08:43	ga_ls8c_ard_3-0-0_108078_2018-03-14_final
2018-05-17 09:29:15	ga_ls8c_ard_3-0-0_092078_2018-05-16_final
2018-05-17 11:08:08	ga_ls8c_ard_3-0-0_108078_2018-05-17_final
2018-07-01 10:37:18	ga_ls8c_ard_3-0-0_103078_2018-07-01_final
2018-07-02 09:41:41	ga_ls8c_ard_3-0-0_094078_2018-07-02_final
2018-07-02 11:20:10	ga_ls8c_ard_3-0-0_110077_2018-07-02_final
2018-07-02 11:20:34	ga_ls8c_ard_3-0-0_110078_2018-07-02_final
2018-07-03 10:24:33	ga_ls8c_ard_3-0-0_101077_2018-07-03_final
2018-07-03 10:24:57	ga_ls8c_ard_3-0-0_101078_2018-07-03_final
2018-07-04 09:28:56	ga_ls8c_ard_3-0-0_092077_2018-07-03_final
2018-07-04 09:29:20	ga_ls8c_ard_3-0-0_092078_2018-07-03_final
2018-07-04 11:07:49	ga_ls8c_ard_3-0-0_108077_2018-07-04_final
2018-07-04 11:08:13	ga_ls8c_ard_3-0-0_108078_2018-07-04_final
2019-07-04 10:37:45	ga_ls8c_ard_3-1-0_103077_2019-07-04_final
2019-07-04 10:38:09	ga_ls8c_ard_3-1-0_103078_2019-07-04_final
2019-07-05 09:42:08	ga_ls8c_ard_3-1-0_094077_2019-07-05_final
2019-07-05 09:42:32	ga_ls8c_ard_3-1-0_094078_2019-07-05_final
2019-07-05 11:21:25	ga_ls8c_ard_3-1-0_110078_2019-07-05_final
2019-07-06 10:25:24	ga_ls8c_ard_3-1-0_101077_2019-07-06_final
2019-07-06 10:25:48	ga_ls8c_ard_3-1-0_101078_2019-07-06_final
2019-07-07 09:29:47	ga_ls8c_ard_3-1-0_092077_2019-07-06_final
2019-07-07 09:30:11	ga_ls8c_ard_3-1-0_092078_2019-07-07_final
2019-07-07 11:09:04	ga_ls8c_ard_3-1-0_108078_2019-07-07_final
2019-07-13 10:32:00	ga_ls8c_ard_3-1-0_102078_2019-07-13_final
2019-07-14 09:35:59	ga_ls8c_ard_3-1-0_093077_2019-07-14_final
2019-07-14 09:36:23	ga_ls8c_ard_3-1-0_093078_2019-07-14_final
2019-07-14 11:14:52	ga_ls8c_ard_3-1-0_109077_2019-07-14_final
2019-07-14 11:15:16	ga_ls8c_ard_3-1-0_109078_2019-07-14_final
2019-07-15 10:19:39	ga_ls8c_ard_3-1-0_100078_2019-07-15_final
2019-07-15 11:58:08	ga_ls8c_ard_3-1-0_116077_2019-07-15_final
2019-07-15 11:58:32	ga_ls8c_ard_3-1-0_116078_2019-07-15_final
2019-07-16 09:23:37	ga_ls8c_ard_3-1-0_091077_2019-07-15_final
2019-07-16 09:24:01	ga_ls8c_ard_3-1-0_091078_2019-07-15_final
2019-07-16 11:02:54	ga_ls8c_ard_3-1-0_107078_2019-07-16_final
2019-10-01 10:32:01	ga_ls8c_ard_3-1-0_102077_2019-10-01_final
2019-10-01 10:32:25	ga_ls8c_ard_3-1-0_102078_2019-10-01_final
2019-10-02 09:36:48	ga_ls8c_ard_3-1-0_093078_2019-10-02_final
2019-10-02 11:15:41	ga_ls8c_ard_3-1-0_109078_2019-10-02_final
2019-10-03 10:19:40	ga_ls8c_ard_3-1-0_100077_2019-10-03_final
2019-10-03 10:20:04	ga_ls8c_ard_3-1-0_100078_2019-10-03_final
2019-10-03 11:58:57	ga_ls8c_ard_3-1-0_116078_2019-10-03_final
2019-10-04 09:24:02	ga_ls8c_ard_3-1-0_091077_2019-10-03_final
2019-10-04 09:24:26	ga_ls8c_ard_3-1-0_091078_2019-10-03_final
2019-10-04 11:02:55	ga_ls8c_ard_3-1-0_107077_2019-10-04_final
2019-10-04 11:03:19	ga_ls8c_ard_3-1-0_107078_2019-10-04_final
2019-10-05 10:07:42	ga_ls8c_ard_3-1-0_098078_2019-10-05_final
2019-10-05 11:46:35	ga_ls8c_ard_3-1-0_114078_2019-10-05_final
2019-10-06 09:11:41	ga_ls8c_ard_3-1-0_089077_2019-10-05_final
2019-10-06 09:12:05	ga_ls8c_ard_3-1-0_089078_2019-10-05_final
2019-10-06 10:50:58	ga_ls8c_ard_3-1-0_105078_2019-10-06_final
2019-10-07 09:55:21	ga_ls8c_ard_3-1-0_096078_2019-10-07_final
2019-10-07 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-10-07_final
2019-10-07 11:34:14	ga_ls8c_ard_3-1-0_112078_2019-10-07_final
2019-10-08 10:38:13	ga_ls8c_ard_3-1-0_103077_2019-10-08_final
2019-10-08 10:38:37	ga_ls8c_ard_3-1-0_103078_2019-10-08_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