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
2013-11-27 11:09:33	ga_ls8c_ard_3-0-0_108075_2013-11-27_final
2013-11-27 11:09:57	ga_ls8c_ard_3-0-0_108076_2013-11-27_final
2013-11-28 10:13:56	ga_ls8c_ard_3-0-0_099075_2013-11-28_final
2013-11-28 10:14:20	ga_ls8c_ard_3-0-0_099076_2013-11-28_final
2013-11-28 11:53:13	ga_ls8c_ard_3-0-0_115076_2013-11-28_final
2013-11-29 09:18:19	ga_ls8c_ard_3-0-0_090075_2013-11-28_final
2013-11-29 09:18:43	ga_ls8c_ard_3-0-0_090076_2013-11-28_final
2013-11-29 10:57:36	ga_ls8c_ard_3-0-0_106076_2013-11-29_final
2013-11-30 10:01:35	ga_ls8c_ard_3-0-0_097075_2013-11-30_final
2013-11-30 10:01:59	ga_ls8c_ard_3-0-0_097076_2013-11-30_final
2013-11-30 11:40:28	ga_ls8c_ard_3-0-0_113075_2013-11-30_final
2013-11-30 11:40:52	ga_ls8c_ard_3-0-0_113076_2013-11-30_final
2013-12-01 10:44:51	ga_ls8c_ard_3-0-0_104075_2013-12-01_final
2013-12-01 10:45:15	ga_ls8c_ard_3-0-0_104076_2013-12-01_final
2014-03-10 11:15:05	ga_ls8c_ard_3-0-0_109076_2014-03-10_final
2014-03-11 10:19:27	ga_ls8c_ard_3-0-0_100076_2014-03-11_final
2014-03-12 09:23:49	ga_ls8c_ard_3-0-0_091076_2014-03-11_final
2014-03-12 11:02:42	ga_ls8c_ard_3-0-0_107076_2014-03-12_final
2014-03-13 10:06:40	ga_ls8c_ard_3-0-0_098075_2014-03-13_final
2014-03-13 10:07:04	ga_ls8c_ard_3-0-0_098076_2014-03-13_final
2014-03-13 11:45:57	ga_ls8c_ard_3-0-0_114076_2014-03-13_final
2014-03-14 09:11:02	ga_ls8c_ard_3-0-0_089075_2014-03-13_final
2014-03-14 09:11:26	ga_ls8c_ard_3-0-0_089076_2014-03-13_final
2014-06-10 09:59:39	ga_ls8c_ard_3-0-0_097075_2014-06-10_final
2014-06-10 10:00:03	ga_ls8c_ard_3-0-0_097076_2014-06-10_final
2014-06-10 11:38:32	ga_ls8c_ard_3-0-0_113075_2014-06-10_final
2014-06-10 11:38:56	ga_ls8c_ard_3-0-0_113076_2014-06-10_final
2014-06-11 10:42:55	ga_ls8c_ard_3-0-0_104075_2014-06-11_final
2014-06-11 10:43:19	ga_ls8c_ard_3-0-0_104076_2014-06-11_final
2014-06-12 09:47:18	ga_ls8c_ard_3-0-0_095075_2014-06-12_final
2014-06-12 09:47:42	ga_ls8c_ard_3-0-0_095076_2014-06-12_final
2014-06-12 11:26:11	ga_ls8c_ard_3-0-0_111075_2014-06-12_final
2014-06-12 11:26:35	ga_ls8c_ard_3-0-0_111076_2014-06-12_final
2014-06-13 10:30:34	ga_ls8c_ard_3-0-0_102075_2014-06-13_final
2014-06-13 10:30:58	ga_ls8c_ard_3-0-0_102076_2014-06-13_final
2016-10-28 10:06:29	ga_ls8c_ard_3-0-0_098075_2016-10-28_final
2016-10-28 10:06:53	ga_ls8c_ard_3-0-0_098076_2016-10-28_final
2016-10-28 11:45:23	ga_ls8c_ard_3-0-0_114075_2016-10-28_final
2016-10-28 11:45:47	ga_ls8c_ard_3-0-0_114076_2016-10-28_final
2016-10-29 09:10:52	ga_ls8c_ard_3-0-0_089075_2016-10-28_final
2016-10-29 09:11:16	ga_ls8c_ard_3-0-0_089076_2016-10-28_final
2016-10-29 10:49:45	ga_ls8c_ard_3-0-0_105075_2016-10-29_final
2016-10-29 10:50:09	ga_ls8c_ard_3-0-0_105076_2016-10-29_final
2016-10-30 09:54:08	ga_ls8c_ard_3-0-0_096075_2016-10-30_final
2016-10-30 09:54:32	ga_ls8c_ard_3-0-0_096076_2016-10-30_final
2016-10-30 11:33:01	ga_ls8c_ard_3-0-0_112075_2016-10-30_final
2016-10-30 11:33:25	ga_ls8c_ard_3-0-0_112076_2016-10-30_final
2016-10-31 10:37:23	ga_ls8c_ard_3-0-0_103075_2016-10-31_final
2016-10-31 10:37:47	ga_ls8c_ard_3-0-0_103076_2016-10-31_final
2016-12-24 10:00:36	ga_ls8c_ard_3-0-0_097076_2016-12-24_final
2016-12-24 11:39:29	ga_ls8c_ard_3-0-0_113076_2016-12-24_final
2016-12-25 10:43:51	ga_ls8c_ard_3-0-0_104076_2016-12-25_final
2016-12-26 09:47:50	ga_ls8c_ard_3-0-0_095075_2016-12-26_final
2016-12-26 09:48:14	ga_ls8c_ard_3-0-0_095076_2016-12-26_final
2016-12-26 11:26:43	ga_ls8c_ard_3-0-0_111075_2016-12-26_final
2016-12-26 11:27:07	ga_ls8c_ard_3-0-0_111076_2016-12-26_final
2016-12-27 10:31:06	ga_ls8c_ard_3-0-0_102075_2016-12-27_final
2016-12-27 10:31:30	ga_ls8c_ard_3-0-0_102076_2016-12-27_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-03-06 10:49:37	ga_ls8c_ard_3-0-0_105076_2017-03-06_final
2017-03-07 09:53:35	ga_ls8c_ard_3-0-0_096075_2017-03-07_final
2017-03-07 09:53:59	ga_ls8c_ard_3-0-0_096076_2017-03-07_final
2017-03-07 11:32:52	ga_ls8c_ard_3-0-0_112076_2017-03-07_final
2020-06-01 10:05:38	ga_ls8c_ard_3-1-0_098075_2020-06-01_final
2020-06-01 10:06:02	ga_ls8c_ard_3-1-0_098076_2020-06-01_final
2020-06-01 11:44:31	ga_ls8c_ard_3-1-0_114075_2020-06-01_final
2020-06-01 11:44:55	ga_ls8c_ard_3-1-0_114076_2020-06-01_final
2020-06-02 09:10:02	ga_ls8c_ard_3-1-0_089075_2020-06-01_final
2020-06-02 09:10:26	ga_ls8c_ard_3-1-0_089076_2020-06-01_final
2020-06-02 10:48:55	ga_ls8c_ard_3-1-0_105075_2020-06-02_final
2020-06-02 10:49:19	ga_ls8c_ard_3-1-0_105076_2020-06-02_final
2020-06-03 09:53:18	ga_ls8c_ard_3-1-0_096075_2020-06-03_final
2020-06-03 09:53:42	ga_ls8c_ard_3-1-0_096076_2020-06-03_final
2020-06-03 11:32:11	ga_ls8c_ard_3-1-0_112075_2020-06-03_final
2020-06-03 11:32:35	ga_ls8c_ard_3-1-0_112076_2020-06-03_final
2020-06-19 09:53:28	ga_ls8c_ard_3-1-0_096075_2020-06-19_final
2020-06-19 09:53:52	ga_ls8c_ard_3-1-0_096076_2020-06-19_final
2020-06-19 11:32:21	ga_ls8c_ard_3-1-0_112075_2020-06-19_final
2020-06-19 11:32:45	ga_ls8c_ard_3-1-0_112076_2020-06-19_final
2020-07-23 09:41:20	ga_ls8c_ard_3-1-0_094075_2020-07-23_final
2020-07-23 09:41:44	ga_ls8c_ard_3-1-0_094076_2020-07-23_final
2020-07-23 11:20:13	ga_ls8c_ard_3-1-0_110075_2020-07-23_final
2020-07-23 11:20:37	ga_ls8c_ard_3-1-0_110076_2020-07-23_final
2020-07-24 10:24:36	ga_ls8c_ard_3-1-0_101075_2020-07-24_final
2020-07-24 10:25:00	ga_ls8c_ard_3-1-0_101076_2020-07-24_final
2020-07-25 09:28:59	ga_ls8c_ard_3-1-0_092075_2020-07-24_final
2020-07-25 09:29:23	ga_ls8c_ard_3-1-0_092076_2020-07-24_final
2020-07-25 11:07:52	ga_ls8c_ard_3-1-0_108075_2020-07-25_final
2020-07-25 11:08:16	ga_ls8c_ard_3-1-0_108076_2020-07-25_final
2020-08-01 09:35:11	ga_ls8c_ard_3-1-0_093075_2020-08-01_final
2020-08-01 09:35:35	ga_ls8c_ard_3-1-0_093076_2020-08-01_final
2020-08-01 11:14:04	ga_ls8c_ard_3-1-0_109075_2020-08-01_final
2020-08-01 11:14:28	ga_ls8c_ard_3-1-0_109076_2020-08-01_final
2020-08-02 10:18:27	ga_ls8c_ard_3-1-0_100075_2020-08-02_final
2020-08-02 10:18:51	ga_ls8c_ard_3-1-0_100076_2020-08-02_final
2020-08-02 11:57:20	ga_ls8c_ard_3-1-0_116075_2020-08-02_final
2020-08-02 11:57:44	ga_ls8c_ard_3-1-0_116076_2020-08-02_final
2020-08-03 09:22:50	ga_ls8c_ard_3-1-0_091075_2020-08-02_final
2020-08-03 09:23:14	ga_ls8c_ard_3-1-0_091076_2020-08-02_final
2020-08-03 11:01:43	ga_ls8c_ard_3-1-0_107075_2020-08-03_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