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
2013-03-31 09:33:51	ga_ls8c_ard_3-0-0_092079_2013-03-31_final
2013-03-31 11:12:25	ga_ls8c_ard_3-0-0_108079_2013-03-31_final
2013-04-01 10:12:25	ga_ls8c_ard_3-0-0_099079_2013-04-01_final
2013-04-01 11:51:00	ga_ls8c_ard_3-0-0_114079_2013-04-01_final
2013-04-02 10:51:00	ga_ls8c_ard_3-0-0_105079_2013-04-02_final
2013-07-01 10:52:34	ga_ls8c_ard_3-0-0_105078_2013-07-01_final
2013-07-01 10:52:58	ga_ls8c_ard_3-0-0_105079_2013-07-01_final
2013-07-02 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-02_final
2013-07-02 09:57:21	ga_ls8c_ard_3-0-0_096079_2013-07-02_final
2013-07-02 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-02_final
2013-07-02 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-07-02_final
2013-07-03 10:40:13	ga_ls8c_ard_3-0-0_103078_2013-07-03_final
2013-07-03 10:40:37	ga_ls8c_ard_3-0-0_103079_2013-07-03_final
2013-07-04 09:44:36	ga_ls8c_ard_3-0-0_094078_2013-07-04_final
2013-07-04 09:45:00	ga_ls8c_ard_3-0-0_094079_2013-07-04_final
2013-07-04 11:23:53	ga_ls8c_ard_3-0-0_110079_2013-07-04_final
2013-07-05 10:27:52	ga_ls8c_ard_3-0-0_101078_2013-07-05_final
2013-08-21 09:45:03	ga_ls8c_ard_3-0-0_094079_2013-08-21_final
2013-08-21 11:23:32	ga_ls8c_ard_3-0-0_110078_2013-08-21_final
2013-08-21 11:23:56	ga_ls8c_ard_3-0-0_110079_2013-08-21_final
2013-08-22 10:27:55	ga_ls8c_ard_3-0-0_101078_2013-08-22_final
2013-08-22 10:28:19	ga_ls8c_ard_3-0-0_101079_2013-08-22_final
2013-08-23 09:32:18	ga_ls8c_ard_3-0-0_092078_2013-08-23_final
2013-08-23 09:32:42	ga_ls8c_ard_3-0-0_092079_2013-08-23_final
2013-08-23 11:11:11	ga_ls8c_ard_3-0-0_108078_2013-08-23_final
2013-08-23 11:11:35	ga_ls8c_ard_3-0-0_108079_2013-08-23_final
2013-08-24 10:15:34	ga_ls8c_ard_3-0-0_099078_2013-08-24_final
2013-08-24 10:15:58	ga_ls8c_ard_3-0-0_099079_2013-08-24_final
2013-08-24 11:54:51	ga_ls8c_ard_3-0-0_115079_2013-08-24_final
2018-02-23 10:37:59	ga_ls8c_ard_3-0-0_103078_2018-02-23_final
2018-02-23 10:38:23	ga_ls8c_ard_3-1-0_103079_2018-02-23_final
2018-02-24 09:42:46	ga_ls8c_ard_3-0-0_094079_2018-02-24_final
2018-02-24 11:21:39	ga_ls8c_ard_3-0-0_110079_2018-02-24_final
2018-02-25 10:26:01	ga_ls8c_ard_3-0-0_101079_2018-02-25_final
2018-02-26 09:30:23	ga_ls8c_ard_3-0-0_092079_2018-02-26_final
2018-02-26 11:09:16	ga_ls8c_ard_3-0-0_108079_2018-02-26_final
2018-03-11 10:38:15	ga_ls8c_ard_3-0-0_103079_2018-03-11_final
2018-03-12 09:42:37	ga_ls8c_ard_3-0-0_094079_2018-03-12_final
2018-03-12 11:21:30	ga_ls8c_ard_3-0-0_110079_2018-03-12_final
2018-03-13 10:25:52	ga_ls8c_ard_3-0-0_101079_2018-03-13_final
2018-03-14 09:30:14	ga_ls8c_ard_3-0-0_092079_2018-03-14_final
2018-03-14 11:09:07	ga_ls8c_ard_3-0-0_108079_2018-03-14_final
2018-05-17 09:29:39	ga_ls8c_ard_3-0-0_092079_2018-05-16_final
2018-05-17 11:08:32	ga_ls8c_ard_3-0-0_108079_2018-05-17_final
2018-07-01 10:37:18	ga_ls8c_ard_3-0-0_103078_2018-07-01_final
2018-07-01 10:37:42	ga_ls8c_ard_3-0-0_103079_2018-07-01_final
2018-07-02 09:41:41	ga_ls8c_ard_3-0-0_094078_2018-07-02_final
2018-07-02 09:42:05	ga_ls8c_ard_3-0-0_094079_2018-07-02_final
2018-07-02 11:20:34	ga_ls8c_ard_3-0-0_110078_2018-07-02_final
2018-07-02 11:20:58	ga_ls8c_ard_3-0-0_110079_2018-07-02_final
2018-07-03 10:24:57	ga_ls8c_ard_3-0-0_101078_2018-07-03_final
2018-07-03 10:25:21	ga_ls8c_ard_3-0-0_101079_2018-07-03_final
2018-07-04 09:29:20	ga_ls8c_ard_3-0-0_092078_2018-07-03_final
2018-07-04 09:29:44	ga_ls8c_ard_3-0-0_092079_2018-07-03_final
2018-07-04 11:08:13	ga_ls8c_ard_3-0-0_108078_2018-07-04_final
2018-07-04 11:08:37	ga_ls8c_ard_3-0-0_108079_2018-07-04_final
2019-07-13 10:32:00	ga_ls8c_ard_3-1-0_102078_2019-07-13_final
2019-07-13 10:32:24	ga_ls8c_ard_3-1-0_102079_2019-07-13_final
2019-07-14 09:36:23	ga_ls8c_ard_3-1-0_093078_2019-07-14_final
2019-07-14 09:36:47	ga_ls8c_ard_3-1-0_093079_2019-07-14_final
2019-07-14 11:15:16	ga_ls8c_ard_3-1-0_109078_2019-07-14_final
2019-07-14 11:15:40	ga_ls8c_ard_3-1-0_109079_2019-07-14_final
2019-07-15 10:19:39	ga_ls8c_ard_3-1-0_100078_2019-07-15_final
2019-07-15 10:20:02	ga_ls8c_ard_3-1-0_100079_2019-07-15_final
2019-07-15 11:58:32	ga_ls8c_ard_3-1-0_116078_2019-07-15_final
2019-07-16 09:24:01	ga_ls8c_ard_3-1-0_091078_2019-07-15_final
2019-07-16 09:24:25	ga_ls8c_ard_3-1-0_091079_2019-07-15_final
2019-07-16 11:02:54	ga_ls8c_ard_3-1-0_107078_2019-07-16_final
2019-07-16 11:03:18	ga_ls8c_ard_3-1-0_107079_2019-07-16_final
2019-10-01 10:32:25	ga_ls8c_ard_3-1-0_102078_2019-10-01_final
2019-10-02 09:36:48	ga_ls8c_ard_3-1-0_093078_2019-10-02_final
2019-10-02 09:37:12	ga_ls8c_ard_3-1-0_093079_2019-10-02_final
2019-10-03 10:20:04	ga_ls8c_ard_3-1-0_100078_2019-10-03_final
2019-10-03 10:20:27	ga_ls8c_ard_3-1-0_100079_2019-10-03_final
2019-10-04 09:24:26	ga_ls8c_ard_3-1-0_091078_2019-10-03_final
2019-10-04 09:24:50	ga_ls8c_ard_3-1-0_091079_2019-10-03_final
2019-10-04 11:03:19	ga_ls8c_ard_3-1-0_107078_2019-10-04_final
2019-10-04 11:03:43	ga_ls8c_ard_3-1-0_107079_2019-10-04_final
2019-10-05 10:07:42	ga_ls8c_ard_3-1-0_098078_2019-10-05_final
2019-10-05 10:08:06	ga_ls8c_ard_3-1-0_098079_2019-10-05_final
2019-10-05 11:46:59	ga_ls8c_ard_3-1-0_114079_2019-10-05_final
2019-10-06 09:12:05	ga_ls8c_ard_3-1-0_089078_2019-10-05_final
2019-10-06 09:12:29	ga_ls8c_ard_3-1-0_089079_2019-10-05_final
2019-10-06 10:50:58	ga_ls8c_ard_3-1-0_105078_2019-10-06_final
2019-10-06 10:51:22	ga_ls8c_ard_3-1-0_105079_2019-10-06_final
2019-10-07 09:55:21	ga_ls8c_ard_3-1-0_096078_2019-10-07_final
2019-10-07 09:55:45	ga_ls8c_ard_3-1-0_096079_2019-10-07_final
2019-10-07 11:34:38	ga_ls8c_ard_3-1-0_112079_2019-10-07_final
2019-10-08 10:38:37	ga_ls8c_ard_3-1-0_103078_2019-10-08_final
2019-10-08 10:39:01	ga_ls8c_ard_3-1-0_103079_2019-10-08_final
2019-11-09 10:38:37	ga_ls8c_ard_3-1-0_103078_2019-11-09_final
2019-11-09 10:39:00	ga_ls8c_ard_3-1-0_103079_2019-11-09_final
2019-11-10 09:42:59	ga_ls8c_ard_3-1-0_094078_2019-11-10_final
2019-11-10 09:43:23	ga_ls8c_ard_3-1-0_094079_2019-11-10_final
2019-11-10 11:21:52	ga_ls8c_ard_3-1-0_110078_2019-11-10_final
2019-11-10 11:22:16	ga_ls8c_ard_3-1-0_110079_2019-11-10_final
2019-11-11 10:26:15	ga_ls8c_ard_3-1-0_101078_2019-11-11_final
2019-11-11 10:26:38	ga_ls8c_ard_3-1-0_101079_2019-11-11_final
2019-11-12 09:30:37	ga_ls8c_ard_3-1-0_092078_2019-11-12_final
2019-11-12 09:31:01	ga_ls8c_ard_3-1-0_092079_2019-11-12_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