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
2013-11-18 09:38:06	ga_ls8c_ard_3-0-0_093078_2013-11-18_final
2013-11-18 11:16:59	ga_ls8c_ard_3-0-0_109078_2013-11-18_final
2013-11-19 10:21:21	ga_ls8c_ard_3-0-0_100078_2013-11-19_final
2013-11-20 09:25:42	ga_ls8c_ard_3-0-0_091078_2013-11-19_final
2013-11-20 11:04:35	ga_ls8c_ard_3-0-0_107078_2013-11-20_final
2013-11-21 10:08:57	ga_ls8c_ard_3-0-0_098078_2013-11-21_final
2013-11-21 11:47:50	ga_ls8c_ard_3-0-0_114078_2013-11-21_final
2013-11-22 09:13:18	ga_ls8c_ard_3-0-0_089078_2013-11-21_final
2013-11-22 10:52:11	ga_ls8c_ard_3-0-0_105078_2013-11-22_final
2013-11-23 09:56:34	ga_ls8c_ard_3-0-0_096078_2013-11-23_final
2013-11-23 11:35:27	ga_ls8c_ard_3-0-0_112078_2013-11-23_final
2013-11-24 10:39:50	ga_ls8c_ard_3-0-0_103078_2013-11-24_final
2013-11-25 09:44:13	ga_ls8c_ard_3-0-0_094078_2013-11-25_final
2013-11-25 11:23:06	ga_ls8c_ard_3-0-0_110078_2013-11-25_final
2013-11-26 10:27:29	ga_ls8c_ard_3-0-0_101078_2013-11-26_final
2014-05-23 10:13:01	ga_ls8c_ard_3-0-0_099078_2014-05-23_final
2014-05-23 10:13:25	ga_ls8c_ard_3-0-0_099079_2014-05-23_final
2014-05-23 11:51:54	ga_ls8c_ard_3-0-0_115078_2014-05-23_final
2014-05-23 11:52:18	ga_ls8c_ard_3-0-0_115079_2014-05-23_final
2014-05-24 09:17:24	ga_ls8c_ard_3-0-0_090078_2014-05-23_final
2014-05-24 10:56:17	ga_ls8c_ard_3-0-0_106078_2014-05-24_final
2014-05-24 10:56:41	ga_ls8c_ard_3-0-0_106079_2014-05-24_final
2014-05-25 10:00:40	ga_ls8c_ard_3-0-0_097078_2014-05-25_final
2014-05-25 10:01:04	ga_ls8c_ard_3-0-0_097079_2014-05-25_final
2014-05-25 11:39:33	ga_ls8c_ard_3-0-0_113078_2014-05-25_final
2014-05-26 10:43:57	ga_ls8c_ard_3-0-0_104078_2014-05-26_final
2014-06-10 10:00:50	ga_ls8c_ard_3-0-0_097078_2014-06-10_final
2014-06-10 10:01:14	ga_ls8c_ard_3-0-0_097079_2014-06-10_final
2014-06-10 11:39:44	ga_ls8c_ard_3-0-0_113078_2014-06-10_final
2014-06-10 11:40:07	ga_ls8c_ard_3-0-0_113079_2014-06-10_final
2014-06-11 10:44:07	ga_ls8c_ard_3-0-0_104078_2014-06-11_final
2014-06-11 10:44:30	ga_ls8c_ard_3-0-0_104079_2014-06-11_final
2014-06-12 09:48:30	ga_ls8c_ard_3-0-0_095078_2014-06-12_final
2014-06-12 09:48:53	ga_ls8c_ard_3-0-0_095079_2014-06-12_final
2014-06-12 11:27:23	ga_ls8c_ard_3-0-0_111078_2014-06-12_final
2014-06-13 10:31:45	ga_ls8c_ard_3-0-0_102078_2014-06-13_final
2014-06-13 10:32:09	ga_ls8c_ard_3-0-0_102079_2014-06-13_final
2016-05-23 09:54:35	ga_ls8c_ard_3-0-0_096078_2016-05-23_final
2016-05-23 09:54:59	ga_ls8c_ard_3-0-0_096079_2016-05-23_final
2016-05-23 11:33:28	ga_ls8c_ard_3-0-0_112078_2016-05-23_final
2016-05-23 11:33:52	ga_ls8c_ard_3-0-0_112079_2016-05-23_final
2016-05-24 10:37:51	ga_ls8c_ard_3-0-0_103078_2016-05-24_final
2016-05-24 10:38:15	ga_ls8c_ard_3-1-0_103079_2016-05-24_final
2016-06-12 09:29:57	ga_ls8c_ard_3-0-0_092078_2016-06-11_final
2016-06-12 09:30:21	ga_ls8c_ard_3-0-0_092079_2016-06-12_final
2016-06-12 11:08:50	ga_ls8c_ard_3-0-0_108078_2016-06-12_final
2016-06-12 11:09:14	ga_ls8c_ard_3-0-0_108079_2016-06-12_final
2016-08-02 10:01:11	ga_ls8c_ard_3-0-0_097078_2016-08-02_final
2016-08-02 10:01:35	ga_ls8c_ard_3-0-0_097079_2016-08-02_final
2016-08-02 11:40:04	ga_ls8c_ard_3-0-0_113078_2016-08-02_final
2016-08-03 09:05:57	ga_ls8c_ard_3-0-0_088079_2016-08-02_final
2016-08-03 10:44:26	ga_ls8c_ard_3-0-0_104078_2016-08-03_final
2016-08-03 10:44:50	ga_ls8c_ard_3-0-0_104079_2016-08-03_final
2016-08-04 09:48:49	ga_ls8c_ard_3-0-0_095078_2016-08-04_final
2016-08-04 09:49:13	ga_ls8c_ard_3-0-0_095079_2016-08-04_final
2016-08-04 11:27:42	ga_ls8c_ard_3-0-0_111078_2016-08-04_final
2016-08-05 10:32:05	ga_ls8c_ard_3-0-0_102078_2016-08-05_final
2016-08-28 10:38:24	ga_ls8c_ard_3-0-0_103078_2016-08-28_final
2016-08-29 09:42:47	ga_ls8c_ard_3-0-0_094078_2016-08-29_final
2016-08-29 11:21:40	ga_ls8c_ard_3-0-0_110078_2016-08-29_final
2016-08-29 11:22:04	ga_ls8c_ard_3-0-0_110079_2016-08-29_final
2016-08-30 10:26:03	ga_ls8c_ard_3-0-0_101078_2016-08-30_final
2016-08-31 09:30:26	ga_ls8c_ard_3-0-0_092078_2016-08-31_final
2016-08-31 11:09:19	ga_ls8c_ard_3-0-0_108078_2016-08-31_final
2016-08-31 11:09:43	ga_ls8c_ard_3-0-0_108079_2016-08-31_final
2016-12-03 09:42:57	ga_ls8c_ard_3-0-0_094078_2016-12-03_final
2016-12-03 11:21:50	ga_ls8c_ard_3-0-0_110078_2016-12-03_final
2016-12-04 10:26:12	ga_ls8c_ard_3-0-0_101078_2016-12-04_final
2016-12-05 09:30:35	ga_ls8c_ard_3-0-0_092078_2016-12-05_final
2016-12-05 11:09:28	ga_ls8c_ard_3-0-0_108078_2016-12-05_final
2016-12-06 10:13:50	ga_ls8c_ard_3-0-0_099078_2016-12-06_final
2016-12-06 11:52:43	ga_ls8c_ard_3-0-0_115078_2016-12-06_final
2016-12-07 09:18:12	ga_ls8c_ard_3-0-0_090078_2016-12-06_final
2016-12-07 10:57:05	ga_ls8c_ard_3-0-0_106078_2016-12-07_final
2017-01-05 10:26:05	ga_ls8c_ard_3-0-0_101078_2017-01-05_final
2017-01-06 09:30:27	ga_ls8c_ard_3-0-0_092078_2017-01-06_final
2017-01-06 11:09:20	ga_ls8c_ard_3-0-0_108078_2017-01-06_final
2017-01-07 10:13:43	ga_ls8c_ard_3-0-0_099078_2017-01-07_final
2017-01-07 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-01-07_final
2017-01-08 09:18:05	ga_ls8c_ard_3-0-0_090078_2017-01-07_final
2017-01-08 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-01-08_final
2017-01-09 10:01:21	ga_ls8c_ard_3-0-0_097078_2017-01-09_final
2017-01-09 11:40:14	ga_ls8c_ard_3-0-0_113078_2017-01-09_final
2017-02-05 09:42:37	ga_ls8c_ard_3-0-0_094078_2017-02-05_final
2017-02-05 11:21:30	ga_ls8c_ard_3-0-0_110078_2017-02-05_final
2017-02-06 10:25:52	ga_ls8c_ard_3-0-0_101078_2017-02-06_final
2017-02-07 09:30:15	ga_ls8c_ard_3-0-0_092078_2017-02-07_final
2017-02-07 11:09:08	ga_ls8c_ard_3-0-0_108078_2017-02-07_final
2017-02-08 10:13:30	ga_ls8c_ard_3-0-0_099078_2017-02-08_final
2017-02-08 11:52:23	ga_ls8c_ard_3-0-0_115078_2017-02-08_final
2017-02-09 09:17:52	ga_ls8c_ard_3-0-0_090078_2017-02-08_final
2017-02-09 10:56:45	ga_ls8c_ard_3-0-0_106078_2017-02-09_final
2017-03-12 10:13:16	ga_ls8c_ard_3-0-0_099078_2017-03-12_final
2017-03-12 11:52:09	ga_ls8c_ard_3-0-0_115078_2017-03-12_final
2017-03-13 09:17:39	ga_ls8c_ard_3-0-0_090078_2017-03-12_final
2017-03-13 10:56:31	ga_ls8c_ard_3-0-0_106078_2017-03-13_final
2017-03-14 10:00:54	ga_ls8c_ard_3-0-0_097078_2017-03-14_final
2017-03-14 11:39:47	ga_ls8c_ard_3-0-0_113078_2017-03-14_final
2017-03-15 10:44:09	ga_ls8c_ard_3-0-0_104078_2017-03-15_final
2017-03-16 09:48:31	ga_ls8c_ard_3-0-0_095078_2017-03-16_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