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
2014-10-07 10:07:08	ga_ls8c_ard_3-0-0_098077_2014-10-07_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 09:42:25	ga_ls8c_ard_3-0-0_094077_2014-10-11_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
2014-12-13 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-12-13_final
2014-12-14 09:42:43	ga_ls8c_ard_3-0-0_094078_2014-12-14_final
2014-12-14 11:21:36	ga_ls8c_ard_3-0-0_110078_2014-12-14_final
2014-12-15 10:25:35	ga_ls8c_ard_3-0-0_101077_2014-12-15_final
2014-12-15 10:25:59	ga_ls8c_ard_3-0-0_101078_2014-12-15_final
2014-12-16 09:30:22	ga_ls8c_ard_3-0-0_092078_2014-12-16_final
2014-12-16 11:09:15	ga_ls8c_ard_3-0-0_108078_2014-12-16_final
2014-12-17 10:13:38	ga_ls8c_ard_3-0-0_099078_2014-12-17_final
2014-12-17 11:52:07	ga_ls8c_ard_3-0-0_115077_2014-12-17_final
2014-12-17 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-12-17_final
2014-12-18 09:18:01	ga_ls8c_ard_3-0-0_090078_2014-12-17_final
2014-12-18 10:56:54	ga_ls8c_ard_3-0-0_106078_2014-12-18_final
2015-02-26 11:58:22	ga_ls8c_ard_3-0-0_116078_2015-02-26_final
2015-02-27 09:23:52	ga_ls8c_ard_3-0-0_091078_2015-02-26_final
2015-02-27 11:02:45	ga_ls8c_ard_3-0-0_107078_2015-02-27_final
2015-06-17 09:35:20	ga_ls8c_ard_3-0-0_093077_2015-06-17_final
2015-06-17 09:35:44	ga_ls8c_ard_3-0-0_093078_2015-06-17_final
2015-06-17 11:14:13	ga_ls8c_ard_3-0-0_109077_2015-06-17_final
2015-06-17 11:14:37	ga_ls8c_ard_3-0-0_109078_2015-06-17_final
2015-06-18 10:18:36	ga_ls8c_ard_3-0-0_100077_2015-06-18_final
2015-06-18 10:19:00	ga_ls8c_ard_3-0-0_100078_2015-06-18_final
2015-06-18 11:57:29	ga_ls8c_ard_3-0-0_116077_2015-06-18_final
2015-06-18 11:57:53	ga_ls8c_ard_3-0-0_116078_2015-06-18_final
2015-06-19 09:22:59	ga_ls8c_ard_3-0-0_091077_2015-06-18_final
2015-06-19 09:23:23	ga_ls8c_ard_3-0-0_091078_2015-06-18_final
2015-06-19 11:02:16	ga_ls8c_ard_3-0-0_107078_2015-06-19_final
2020-06-13 10:31:17	ga_ls8c_ard_3-1-0_102077_2020-06-13_final
2020-06-14 09:36:04	ga_ls8c_ard_3-1-0_093078_2020-06-14_final
2020-06-20 10:37:56	ga_ls8c_ard_3-1-0_103078_2020-06-20_final
2020-06-21 09:42:19	ga_ls8c_ard_3-1-0_094078_2020-06-21_final
2020-06-21 11:20:48	ga_ls8c_ard_3-1-0_110077_2020-06-21_final
2020-06-21 11:21:12	ga_ls8c_ard_3-1-0_110078_2020-06-21_final
2020-06-22 10:25:11	ga_ls8c_ard_3-1-0_101077_2020-06-22_final
2020-06-22 10:25:35	ga_ls8c_ard_3-1-0_101078_2020-06-22_final
2020-08-17 09:36:04	ga_ls8c_ard_3-1-0_093077_2020-08-17_final
2020-08-17 09:36:28	ga_ls8c_ard_3-1-0_093078_2020-08-17_final
2020-08-17 11:14:57	ga_ls8c_ard_3-1-0_109077_2020-08-17_final
2020-08-17 11:15:21	ga_ls8c_ard_3-1-0_109078_2020-08-17_final
2020-08-18 10:19:20	ga_ls8c_ard_3-1-0_100077_2020-08-18_final
2020-08-18 10:19:44	ga_ls8c_ard_3-1-0_100078_2020-08-18_final
2020-08-18 11:58:13	ga_ls8c_ard_3-1-0_116077_2020-08-18_final
2020-08-18 11:58:37	ga_ls8c_ard_3-1-0_116078_2020-08-18_final
2021-01-02 11:52:41	ga_ls8c_ard_3-2-0_115078_2021-01-02_final
2021-01-03 09:18:10	ga_ls8c_ard_3-2-0_090078_2021-01-02_final
2021-01-03 10:57:03	ga_ls8c_ard_3-2-0_106078_2021-01-03_final
2021-01-08 09:36:40	ga_ls8c_ard_3-2-0_093078_2021-01-08_final
2021-01-08 11:15:33	ga_ls8c_ard_3-2-0_109078_2021-01-08_final
2021-01-09 10:19:55	ga_ls8c_ard_3-2-0_100078_2021-01-09_final
2021-01-14 10:38:25	ga_ls8c_ard_3-2-0_103078_2021-01-14_final
2021-01-15 09:42:48	ga_ls8c_ard_3-2-0_094078_2021-01-15_final
2021-02-17 10:25:33	ga_ls8c_ard_3-2-0_101077_2021-02-17_final
2021-02-17 10:25:57	ga_ls8c_ard_3-2-0_101078_2021-02-17_final
2021-02-18 09:30:19	ga_ls8c_ard_3-2-0_092078_2021-02-18_final
2021-03-03 10:38:12	ga_ls8c_ard_3-2-0_103078_2021-03-03_final
2021-03-04 09:42:35	ga_ls8c_ard_3-2-0_094078_2021-03-04_final
2021-03-04 11:21:28	ga_ls8c_ard_3-2-0_110078_2021-03-04_final
2022-01-24 10:44:35	ga_ls8c_ard_3-2-1_104078_2022-01-24_final
2022-01-25 09:48:57	ga_ls8c_ard_3-2-1_095078_2022-01-25_final
2022-01-25 11:27:50	ga_ls8c_ard_3-2-1_111078_2022-01-25_final
2022-05-05 09:23:31	ga_ls8c_ard_3-2-1_091077_2022-05-04_final
2022-05-05 09:23:55	ga_ls8c_ard_3-2-1_091078_2022-05-04_final
2022-05-05 11:02:24	ga_ls8c_ard_3-2-1_107077_2022-05-05_final
2022-05-05 11:02:48	ga_ls8c_ard_3-2-1_107078_2022-05-05_final
2022-05-06 10:06:47	ga_ls8c_ard_3-2-1_098077_2022-05-06_final
2022-05-06 10:07:11	ga_ls8c_ard_3-2-1_098078_2022-05-06_final
2022-05-06 11:46:04	ga_ls8c_ard_3-2-1_114078_2022-05-06_final
2022-05-07 09:11:35	ga_ls8c_ard_3-2-1_089078_2022-05-06_final
2022-05-07 10:50:04	ga_ls8c_ard_3-2-1_105077_2022-05-07_final
2022-05-07 10:50:28	ga_ls8c_ard_3-2-1_105078_2022-05-07_final
2022-05-24 11:33:48	ga_ls8c_ard_3-2-1_112078_2022-05-24_final
2022-05-25 10:38:10	ga_ls8c_ard_3-2-1_103078_2022-05-25_final
2022-05-26 09:42:09	ga_ls8c_ard_3-2-1_094077_2022-05-26_final
2022-05-26 09:42:33	ga_ls8c_ard_3-2-1_094078_2022-05-26_final
2022-05-26 11:21:26	ga_ls8c_ard_3-2-1_110078_2022-05-26_final
2022-05-27 10:25:24	ga_ls8c_ard_3-2-1_101077_2022-05-27_final
2022-05-27 10:25:48	ga_ls8c_ard_3-2-1_101078_2022-05-27_final
2022-05-28 09:29:47	ga_ls8c_ard_3-2-1_092077_2022-05-27_final
2022-05-28 09:30:11	ga_ls8c_ard_3-2-1_092078_2022-05-28_final
2022-05-28 11:09:04	ga_ls8c_ard_3-2-1_108078_2022-05-28_final
2022-05-29 10:13:28	ga_ls8c_ard_3-2-1_099078_2022-05-29_final
2022-05-29 11:51:57	ga_ls8c_ard_3-2-1_115077_2022-05-29_final
2022-05-29 11:52:21	ga_ls8c_ard_3-2-1_115078_2022-05-29_final
2022-05-30 09:17:51	ga_ls8c_ard_3-2-1_090078_2022-05-29_final
2022-05-30 10:56:44	ga_ls8c_ard_3-2-1_106078_2022-05-30_final
2022-05-31 10:00:44	ga_ls8c_ard_3-2-1_097077_2022-05-31_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