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
2014-01-08 10:09:02	ga_ls8c_ard_3-0-0_098079_2014-01-08_final
2014-01-08 11:47:55	ga_ls8c_ard_3-0-0_114079_2014-01-08_final
2014-01-09 10:52:17	ga_ls8c_ard_3-0-0_105079_2014-01-09_final
2014-01-10 09:56:38	ga_ls8c_ard_3-0-0_096079_2014-01-10_final
2014-01-10 11:35:31	ga_ls8c_ard_3-0-0_112079_2014-01-10_final
2014-01-11 10:39:53	ga_ls8c_ard_3-0-0_103079_2014-01-11_final
2014-01-12 09:44:14	ga_ls8c_ard_3-0-0_094079_2014-01-12_final
2014-01-12 11:23:07	ga_ls8c_ard_3-0-0_110079_2014-01-12_final
2014-01-13 10:27:29	ga_ls8c_ard_3-0-0_101079_2014-01-13_final
2014-01-14 09:31:50	ga_ls8c_ard_3-0-0_092079_2014-01-14_final
2014-01-14 11:10:43	ga_ls8c_ard_3-0-0_108079_2014-01-14_final
2014-02-07 10:21:04	ga_ls8c_ard_3-0-0_100079_2014-02-07_final
2014-02-08 09:25:26	ga_ls8c_ard_3-0-0_091079_2014-02-07_final
2014-02-08 11:04:19	ga_ls8c_ard_3-0-0_107079_2014-02-08_final
2014-02-09 10:08:41	ga_ls8c_ard_3-0-0_098079_2014-02-09_final
2014-02-09 11:47:33	ga_ls8c_ard_3-0-0_114079_2014-02-09_final
2014-02-10 09:13:02	ga_ls8c_ard_3-0-0_089079_2014-02-09_final
2014-02-10 10:51:55	ga_ls8c_ard_3-0-0_105079_2014-02-10_final
2014-02-11 09:56:16	ga_ls8c_ard_3-0-0_096079_2014-02-11_final
2014-02-12 10:39:30	ga_ls8c_ard_3-0-0_103079_2014-02-12_final
2014-02-13 09:43:52	ga_ls8c_ard_3-0-0_094079_2014-02-13_final
2014-02-13 11:22:45	ga_ls8c_ard_3-0-0_110079_2014-02-13_final
2014-05-12 10:32:03	ga_ls8c_ard_3-0-0_102079_2014-05-12_final
2014-05-13 09:36:25	ga_ls8c_ard_3-0-0_093079_2014-05-13_final
2014-05-13 11:15:18	ga_ls8c_ard_3-0-0_109079_2014-05-13_final
2014-05-14 10:19:40	ga_ls8c_ard_3-0-0_100079_2014-05-14_final
2014-05-15 09:24:02	ga_ls8c_ard_3-0-0_091079_2014-05-14_final
2014-05-15 11:02:55	ga_ls8c_ard_3-0-0_107079_2014-05-15_final
2014-05-16 10:07:16	ga_ls8c_ard_3-0-0_098079_2014-05-16_final
2014-05-16 11:46:09	ga_ls8c_ard_3-0-0_114079_2014-05-16_final
2014-05-17 09:11:39	ga_ls8c_ard_3-0-0_089079_2014-05-16_final
2014-05-17 10:50:08	ga_ls8c_ard_3-0-0_105078_2014-05-17_final
2014-05-17 10:50:32	ga_ls8c_ard_3-0-0_105079_2014-05-17_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-06-01 10:07:14	ga_ls8c_ard_3-1-0_098079_2020-06-01_final
2020-06-01 11:45:43	ga_ls8c_ard_3-1-0_114078_2020-06-01_final
2020-06-01 11:46:07	ga_ls8c_ard_3-1-0_114079_2020-06-01_final
2020-06-02 09:11:13	ga_ls8c_ard_3-1-0_089078_2020-06-01_final
2020-06-02 09:11:37	ga_ls8c_ard_3-1-0_089079_2020-06-01_final
2020-06-02 10:50:07	ga_ls8c_ard_3-1-0_105078_2020-06-02_final
2020-06-02 10:50:30	ga_ls8c_ard_3-1-0_105079_2020-06-02_final
2020-06-03 09:54:30	ga_ls8c_ard_3-1-0_096078_2020-06-03_final
2020-06-03 09:54:54	ga_ls8c_ard_3-1-0_096079_2020-06-03_final
2020-06-03 11:33:47	ga_ls8c_ard_3-1-0_112079_2020-06-03_final
2020-06-17 10:07:00	ga_ls8c_ard_3-1-0_098078_2020-06-17_final
2020-06-17 10:07:24	ga_ls8c_ard_3-1-0_098079_2020-06-17_final
2020-06-17 11:46:17	ga_ls8c_ard_3-1-0_114079_2020-06-17_final
2020-06-18 09:11:23	ga_ls8c_ard_3-1-0_089078_2020-06-17_final
2020-06-18 09:11:47	ga_ls8c_ard_3-1-0_089079_2020-06-17_final
2020-06-18 10:50:40	ga_ls8c_ard_3-1-0_105079_2020-06-18_final
2020-06-19 09:55:03	ga_ls8c_ard_3-1-0_096079_2020-06-19_final
2020-06-19 11:33:33	ga_ls8c_ard_3-1-0_112078_2020-06-19_final
2020-06-19 11:33:57	ga_ls8c_ard_3-1-0_112079_2020-06-19_final
2020-07-23 09:42:56	ga_ls8c_ard_3-1-0_094079_2020-07-23_final
2020-07-23 11:21:49	ga_ls8c_ard_3-1-0_110079_2020-07-23_final
2020-07-24 10:25:48	ga_ls8c_ard_3-1-0_101078_2020-07-24_final
2020-07-24 10:26:12	ga_ls8c_ard_3-1-0_101079_2020-07-24_final
2020-07-25 09:30:11	ga_ls8c_ard_3-1-0_092078_2020-07-25_final
2020-07-25 09:30:35	ga_ls8c_ard_3-1-0_092079_2020-07-25_final
2020-07-25 11:09:28	ga_ls8c_ard_3-1-0_108079_2020-07-25_final
2020-08-01 09:36:23	ga_ls8c_ard_3-1-0_093078_2020-08-01_final
2020-08-01 09:36:47	ga_ls8c_ard_3-1-0_093079_2020-08-01_final
2020-08-01 11:15:40	ga_ls8c_ard_3-1-0_109079_2020-08-01_final
2020-08-02 10:20:03	ga_ls8c_ard_3-1-0_100079_2020-08-02_final
2020-08-02 11:58:32	ga_ls8c_ard_3-1-0_116078_2020-08-02_final
2020-08-03 09:24:02	ga_ls8c_ard_3-1-0_091078_2020-08-02_final
2020-08-03 09:24:26	ga_ls8c_ard_3-1-0_091079_2020-08-02_final
2020-08-03 11:03:19	ga_ls8c_ard_3-1-0_107079_2020-08-03_final
2020-08-11 10:13:30	ga_ls8c_ard_3-1-0_099078_2020-08-11_final
2020-08-11 10:13:53	ga_ls8c_ard_3-1-0_099079_2020-08-11_final
2020-08-11 11:52:23	ga_ls8c_ard_3-1-0_115078_2020-08-11_final
2020-08-12 09:18:16	ga_ls8c_ard_3-1-0_090079_2020-08-11_final
2020-08-12 10:57:09	ga_ls8c_ard_3-1-0_106079_2020-08-12_final
2020-08-13 10:01:09	ga_ls8c_ard_3-1-0_097078_2020-08-13_final
2020-08-13 10:01:33	ga_ls8c_ard_3-1-0_097079_2020-08-13_final
2020-08-13 11:40:26	ga_ls8c_ard_3-1-0_113079_2020-08-13_final
2020-10-04 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-10-04_final
2020-10-04 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-10-04_final
2020-10-04 11:16:02	ga_ls8c_ard_3-1-0_109079_2020-10-04_final
2020-10-05 10:20:01	ga_ls8c_ard_3-1-0_100078_2020-10-05_final
2020-10-05 10:20:25	ga_ls8c_ard_3-1-0_100079_2020-10-05_final
2020-10-06 09:24:48	ga_ls8c_ard_3-1-0_091079_2020-10-05_final
2020-10-06 11:03:41	ga_ls8c_ard_3-1-0_107079_2020-10-06_final
2020-11-12 11:22:10	ga_ls8c_ard_3-1-0_110079_2020-11-12_final
2020-11-15 10:14:12	ga_ls8c_ard_3-1-0_099079_2020-11-15_final
2020-11-15 11:53:05	ga_ls8c_ard_3-1-0_115079_2020-11-15_final
2020-11-16 09:18:35	ga_ls8c_ard_3-1-0_090079_2020-11-15_final
2020-11-19 09:49:30	ga_ls8c_ard_3-1-0_095079_2020-11-19_final
2020-11-19 11:28:23	ga_ls8c_ard_3-1-0_111079_2020-11-19_final
2020-11-20 10:32:46	ga_ls8c_ard_3-1-0_102079_2020-11-20_final
2020-11-21 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-11-21_final
2020-11-21 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-11-21_final
2020-11-21 11:16:02	ga_ls8c_ard_3-1-0_109079_2020-11-21_final
2020-11-22 10:20:25	ga_ls8c_ard_3-1-0_100079_2020-11-22_final
2020-12-04 09:06:17	ga_ls8c_ard_3-1-0_088079_2020-12-03_final
2020-12-04 10:45:10	ga_ls8c_ard_3-1-0_104079_2020-12-04_final
2020-12-05 09:49:33	ga_ls8c_ard_3-1-0_095079_2020-12-05_final
2020-12-05 11:28:26	ga_ls8c_ard_3-1-0_111079_2020-12-05_final
2020-12-06 10:32:49	ga_ls8c_ard_3-1-0_102079_2020-12-06_final
2020-12-07 09:37:11	ga_ls8c_ard_3-1-0_093079_2020-12-07_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