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
2016-05-05 10:06:33	ga_ls8c_ard_3-0-0_098077_2016-05-05_final
2016-05-05 10:06:57	ga_ls8c_ard_3-0-0_098078_2016-05-05_final
2016-05-05 11:45:50	ga_ls8c_ard_3-0-0_114078_2016-05-05_final
2016-05-06 09:11:19	ga_ls8c_ard_3-0-0_089078_2016-05-05_final
2016-05-06 10:50:12	ga_ls8c_ard_3-0-0_105078_2016-05-06_final
2016-05-21 10:06:56	ga_ls8c_ard_3-0-0_098078_2016-05-21_final
2016-05-21 11:45:25	ga_ls8c_ard_3-0-0_114077_2016-05-21_final
2016-05-21 11:45:49	ga_ls8c_ard_3-0-0_114078_2016-05-21_final
2016-05-22 09:10:55	ga_ls8c_ard_3-0-0_089077_2016-05-21_final
2016-05-22 09:11:19	ga_ls8c_ard_3-0-0_089078_2016-05-21_final
2016-05-22 10:50:12	ga_ls8c_ard_3-0-0_105078_2016-05-22_final
2016-05-27 09:29:54	ga_ls8c_ard_3-0-0_092078_2016-05-26_final
2016-05-27 11:08:23	ga_ls8c_ard_3-0-0_108077_2016-05-27_final
2016-05-27 11:08:47	ga_ls8c_ard_3-0-0_108078_2016-05-27_final
2016-05-28 10:13:10	ga_ls8c_ard_3-0-0_099078_2016-05-28_final
2016-05-28 11:51:39	ga_ls8c_ard_3-0-0_115077_2016-05-28_final
2016-05-28 11:52:03	ga_ls8c_ard_3-0-0_115078_2016-05-28_final
2016-05-29 09:17:09	ga_ls8c_ard_3-0-0_090077_2016-05-28_final
2016-05-29 09:17:33	ga_ls8c_ard_3-0-0_090078_2016-05-28_final
2016-05-29 10:56:26	ga_ls8c_ard_3-0-0_106078_2016-05-29_final
2016-05-30 10:00:49	ga_ls8c_ard_3-0-0_097078_2016-05-30_final
2016-05-30 11:39:42	ga_ls8c_ard_3-0-0_113078_2016-05-30_final
2016-05-31 10:44:05	ga_ls8c_ard_3-0-0_104078_2016-05-31_final
2016-06-05 09:23:21	ga_ls8c_ard_3-0-0_091077_2016-06-04_final
2016-06-05 09:23:45	ga_ls8c_ard_3-0-0_091078_2016-06-04_final
2016-06-05 11:02:38	ga_ls8c_ard_3-0-0_107078_2016-06-05_final
2016-06-06 10:06:37	ga_ls8c_ard_3-0-0_098077_2016-06-06_final
2016-06-06 10:07:01	ga_ls8c_ard_3-0-0_098078_2016-06-06_final
2016-06-06 11:45:54	ga_ls8c_ard_3-0-0_114078_2016-06-06_final
2016-06-07 09:11:00	ga_ls8c_ard_3-0-0_089077_2016-06-06_final
2016-06-07 09:11:24	ga_ls8c_ard_3-0-0_089078_2016-06-06_final
2016-06-07 10:49:53	ga_ls8c_ard_3-0-0_105077_2016-06-07_final
2016-06-07 10:50:17	ga_ls8c_ard_3-0-0_105078_2016-06-07_final
2016-06-14 10:56:28	ga_ls8c_ard_3-0-0_106078_2016-06-14_final
2016-06-15 10:00:51	ga_ls8c_ard_3-0-0_097078_2016-06-15_final
2016-06-15 11:39:20	ga_ls8c_ard_3-0-0_113077_2016-06-15_final
2016-06-15 11:39:44	ga_ls8c_ard_3-0-0_113078_2016-06-15_final
2016-06-16 10:44:07	ga_ls8c_ard_3-0-0_104078_2016-06-16_final
2016-07-09 10:50:31	ga_ls8c_ard_3-0-0_105078_2016-07-09_final
2016-07-10 09:54:30	ga_ls8c_ard_3-0-0_096077_2016-07-10_final
2016-07-10 09:54:54	ga_ls8c_ard_3-0-0_096078_2016-07-10_final
2016-07-10 11:33:47	ga_ls8c_ard_3-0-0_112078_2016-07-10_final
2016-07-11 10:38:10	ga_ls8c_ard_3-0-0_103078_2016-07-11_final
2016-07-25 09:11:19	ga_ls8c_ard_3-0-0_089077_2016-07-24_final
2016-07-25 09:11:43	ga_ls8c_ard_3-0-0_089078_2016-07-24_final
2016-08-08 09:23:42	ga_ls8c_ard_3-0-0_091077_2016-08-07_final
2016-08-08 09:24:06	ga_ls8c_ard_3-0-0_091078_2016-08-07_final
2016-08-08 11:02:59	ga_ls8c_ard_3-0-0_107078_2016-08-08_final
2016-08-20 09:48:54	ga_ls8c_ard_3-0-0_095078_2016-08-20_final
2016-08-20 11:27:47	ga_ls8c_ard_3-0-0_111078_2016-08-20_final
2016-08-21 10:32:10	ga_ls8c_ard_3-0-0_102078_2016-08-21_final
2016-08-22 09:36:33	ga_ls8c_ard_3-0-0_093078_2016-08-22_final
2016-08-22 11:15:26	ga_ls8c_ard_3-0-0_109078_2016-08-22_final
2016-08-23 10:19:26	ga_ls8c_ard_3-0-0_100077_2016-08-23_final
2016-08-23 10:19:50	ga_ls8c_ard_3-0-0_100078_2016-08-23_final
2016-08-23 11:58:19	ga_ls8c_ard_3-0-0_116077_2016-08-23_final
2016-08-23 11:58:43	ga_ls8c_ard_3-0-0_116078_2016-08-23_final
2016-09-21 09:49:02	ga_ls8c_ard_3-0-0_095078_2016-09-21_final
2016-09-21 11:27:55	ga_ls8c_ard_3-0-0_111078_2016-09-21_final
2016-09-22 10:31:54	ga_ls8c_ard_3-0-0_102077_2016-09-22_final
2016-09-22 10:32:18	ga_ls8c_ard_3-0-0_102078_2016-09-22_final
2016-09-23 09:36:40	ga_ls8c_ard_3-0-0_093078_2016-09-23_final
2016-09-23 11:15:33	ga_ls8c_ard_3-0-0_109078_2016-09-23_final
2016-09-24 10:19:56	ga_ls8c_ard_3-0-0_100078_2016-09-24_final
2016-09-24 11:58:25	ga_ls8c_ard_3-0-0_116077_2016-09-24_final
2016-09-24 11:58:49	ga_ls8c_ard_3-0-0_116078_2016-09-24_final
2016-10-07 09:49:05	ga_ls8c_ard_3-0-0_095078_2016-10-07_final
2016-10-07 11:27:58	ga_ls8c_ard_3-1-0_111078_2016-10-07_final
2016-10-08 10:31:57	ga_ls8c_ard_3-0-0_102077_2016-10-08_final
2016-10-08 10:32:21	ga_ls8c_ard_3-0-0_102078_2016-10-08_final
2016-10-09 09:36:44	ga_ls8c_ard_3-0-0_093078_2016-10-09_final
2016-10-09 11:15:37	ga_ls8c_ard_3-0-0_109078_2016-10-09_final
2016-10-10 10:19:36	ga_ls8c_ard_3-0-0_100077_2016-10-10_final
2016-10-10 10:20:00	ga_ls8c_ard_3-0-0_100078_2016-10-10_final
2016-10-10 11:58:53	ga_ls8c_ard_3-0-0_116078_2016-10-10_final
2018-11-09 09:30:11	ga_ls8c_ard_3-0-0_092078_2018-11-09_final
2018-11-09 11:09:04	ga_ls8c_ard_3-0-0_108078_2018-11-09_final
2018-11-10 10:13:27	ga_ls8c_ard_3-0-0_099078_2018-11-10_final
2018-11-10 11:51:56	ga_ls8c_ard_3-0-0_115077_2018-11-10_final
2018-11-10 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-10_final
2018-11-11 09:17:50	ga_ls8c_ard_3-0-0_090078_2018-11-10_final
2018-11-11 10:56:43	ga_ls8c_ard_3-0-0_106078_2018-11-11_final
2018-11-12 10:01:06	ga_ls8c_ard_3-0-0_097078_2018-11-12_final
2018-11-12 11:39:59	ga_ls8c_ard_3-0-0_113078_2018-11-12_final
2018-11-13 10:44:21	ga_ls8c_ard_3-0-0_104078_2018-11-13_final
2019-01-14 10:56:37	ga_ls8c_ard_3-0-0_106078_2019-01-14_final
2019-01-15 10:00:36	ga_ls8c_ard_3-0-0_097077_2019-01-15_final
2019-01-15 10:01:00	ga_ls8c_ard_3-0-0_097078_2019-01-15_final
2019-01-15 11:39:53	ga_ls8c_ard_3-0-0_113078_2019-01-15_final
2019-01-16 10:44:15	ga_ls8c_ard_3-0-0_104078_2019-01-16_final
2020-03-15 09:54:50	ga_ls8c_ard_3-1-0_096078_2020-03-15_final
2020-03-15 11:33:43	ga_ls8c_ard_3-1-0_112078_2020-03-15_final
2020-03-16 10:38:05	ga_ls8c_ard_3-1-0_103078_2020-03-16_final
2020-03-17 11:21:21	ga_ls8c_ard_3-1-0_110078_2020-03-17_final
2020-03-18 10:25:43	ga_ls8c_ard_3-1-0_101078_2020-03-18_final
2020-05-02 09:54:26	ga_ls8c_ard_3-1-0_096078_2020-05-02_final
2020-05-02 11:33:19	ga_ls8c_ard_3-1-0_112078_2020-05-02_final
2020-05-03 10:37:41	ga_ls8c_ard_3-1-0_103078_2020-05-03_final
2020-05-04 09:42:03	ga_ls8c_ard_3-1-0_094078_2020-05-04_final
2020-05-04 11:20:56	ga_ls8c_ard_3-1-0_110078_2020-05-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years