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
2015-01-17 09:30:16	ga_ls8c_ard_3-0-0_092078_2015-01-17_final
2015-01-17 09:30:40	ga_ls8c_ard_3-0-0_092079_2015-01-17_final
2015-01-17 11:09:09	ga_ls8c_ard_3-0-0_108078_2015-01-17_final
2015-01-17 11:09:33	ga_ls8c_ard_3-0-0_108079_2015-01-17_final
2015-01-18 10:13:31	ga_ls8c_ard_3-0-0_099078_2015-01-18_final
2015-01-18 10:13:55	ga_ls8c_ard_3-0-0_099079_2015-01-18_final
2015-01-18 11:52:24	ga_ls8c_ard_3-0-0_115078_2015-01-18_final
2015-01-18 11:52:48	ga_ls8c_ard_3-0-0_115079_2015-01-18_final
2015-01-19 09:17:53	ga_ls8c_ard_3-0-0_090078_2015-01-18_final
2015-01-19 09:18:17	ga_ls8c_ard_3-0-0_090079_2015-01-18_final
2015-01-19 10:57:10	ga_ls8c_ard_3-0-0_106079_2015-01-19_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-19 11:52:37	ga_ls8c_ard_3-0-0_115079_2015-02-19_final
2015-02-20 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-02-19_final
2015-02-20 10:56:59	ga_ls8c_ard_3-0-0_106079_2015-02-20_final
2015-02-28 10:07:31	ga_ls8c_ard_3-0-0_098079_2015-02-28_final
2015-02-28 11:46:24	ga_ls8c_ard_3-0-0_114079_2015-02-28_final
2015-03-01 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-02-28_final
2015-03-01 10:50:46	ga_ls8c_ard_3-0-0_105079_2015-03-01_final
2019-07-11 09:05:52	ga_ls8c_ard_3-1-0_088079_2019-07-10_final
2019-07-11 10:44:21	ga_ls8c_ard_3-1-0_104078_2019-07-11_final
2019-07-11 10:44:45	ga_ls8c_ard_3-1-0_104079_2019-07-11_final
2019-07-12 09:48:44	ga_ls8c_ard_3-1-0_095078_2019-07-12_final
2019-07-12 09:49:08	ga_ls8c_ard_3-1-0_095079_2019-07-12_final
2019-07-12 11:27:37	ga_ls8c_ard_3-1-0_111078_2019-07-12_final
2019-07-12 11:28:01	ga_ls8c_ard_3-1-0_111079_2019-07-12_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
2019-07-28 09:48:49	ga_ls8c_ard_3-1-0_095078_2019-07-28_final
2019-07-28 09:49:13	ga_ls8c_ard_3-1-0_095079_2019-07-28_final
2019-07-28 11:27:42	ga_ls8c_ard_3-1-0_111078_2019-07-28_final
2019-07-28 11:28:06	ga_ls8c_ard_3-1-0_111079_2019-07-28_final
2019-07-29 10:32:05	ga_ls8c_ard_3-1-0_102078_2019-07-29_final
2019-07-29 10:32:29	ga_ls8c_ard_3-1-0_102079_2019-07-29_final
2019-08-28 09:06:07	ga_ls8c_ard_3-1-0_088079_2019-08-27_final
2019-08-28 10:44:36	ga_ls8c_ard_3-1-0_104078_2019-08-28_final
2019-08-28 10:45:00	ga_ls8c_ard_3-1-0_104079_2019-08-28_final
2019-08-29 09:48:59	ga_ls8c_ard_3-1-0_095078_2019-08-29_final
2019-08-29 09:49:23	ga_ls8c_ard_3-1-0_095079_2019-08-29_final
2019-08-29 11:27:52	ga_ls8c_ard_3-1-0_111078_2019-08-29_final
2019-08-29 11:28:16	ga_ls8c_ard_3-1-0_111079_2019-08-29_final
2019-08-30 10:32:15	ga_ls8c_ard_3-1-0_102078_2019-08-30_final
2019-08-30 10:32:39	ga_ls8c_ard_3-1-0_102079_2019-08-30_final
2019-09-06 10:38:27	ga_ls8c_ard_3-1-0_103078_2019-09-06_final
2019-09-06 10:38:51	ga_ls8c_ard_3-1-0_103079_2019-09-06_final
2019-09-07 09:42:50	ga_ls8c_ard_3-1-0_094078_2019-09-07_final
2019-09-07 09:43:14	ga_ls8c_ard_3-1-0_094079_2019-09-07_final
2019-09-07 11:22:07	ga_ls8c_ard_3-1-0_110079_2019-09-07_final
2019-09-08 10:26:06	ga_ls8c_ard_3-1-0_101078_2019-09-08_final
2019-09-08 10:26:30	ga_ls8c_ard_3-1-0_101079_2019-09-08_final
2019-09-12 10:01:25	ga_ls8c_ard_3-1-0_097078_2019-09-12_final
2019-09-12 10:01:49	ga_ls8c_ard_3-1-0_097079_2019-09-12_final
2019-09-12 11:40:18	ga_ls8c_ard_3-1-0_113078_2019-09-12_final
2019-09-12 11:40:42	ga_ls8c_ard_3-1-0_113079_2019-09-12_final
2019-09-13 09:06:12	ga_ls8c_ard_3-1-0_088079_2019-09-12_final
2019-09-13 10:44:41	ga_ls8c_ard_3-1-0_104078_2019-09-13_final
2019-09-13 10:45:05	ga_ls8c_ard_3-1-0_104079_2019-09-13_final
2019-09-14 09:49:28	ga_ls8c_ard_3-1-0_095079_2019-09-14_final
2019-09-14 11:27:57	ga_ls8c_ard_3-1-0_111078_2019-09-14_final
2019-09-14 11:28:21	ga_ls8c_ard_3-1-0_111079_2019-09-14_final
2019-09-15 10:32:20	ga_ls8c_ard_3-1-0_102078_2019-09-15_final
2019-09-15 10:32:44	ga_ls8c_ard_3-1-0_102079_2019-09-15_final
2019-10-24 10:38:38	ga_ls8c_ard_3-1-0_103078_2019-10-24_final
2019-10-24 10:39:02	ga_ls8c_ard_3-1-0_103079_2019-10-24_final
2019-10-25 09:43:25	ga_ls8c_ard_3-1-0_094079_2019-10-25_final
2019-10-25 11:21:54	ga_ls8c_ard_3-1-0_110078_2019-10-25_final
2019-10-25 11:22:18	ga_ls8c_ard_3-1-0_110079_2019-10-25_final
2019-10-26 10:26:16	ga_ls8c_ard_3-1-0_101078_2019-10-26_final
2019-10-26 10:26:40	ga_ls8c_ard_3-1-0_101079_2019-10-26_final
2019-11-19 09:36:46	ga_ls8c_ard_3-1-0_093078_2019-11-19_final
2019-11-21 09:24:24	ga_ls8c_ard_3-1-0_091078_2019-11-20_final
2019-11-21 09:24:48	ga_ls8c_ard_3-1-0_091079_2019-11-20_final
2019-11-21 11:03:17	ga_ls8c_ard_3-1-0_107078_2019-11-21_final
2019-11-21 11:03:41	ga_ls8c_ard_3-1-0_107079_2019-11-21_final
2023-03-22 11:46:05	ga_ls8c_ard_3-2-1_114078_2023-03-22_final
2023-03-22 11:46:29	ga_ls8c_ard_3-2-1_114079_2023-03-22_final
2023-03-23 09:11:34	ga_ls8c_ard_3-2-1_089078_2023-03-22_final
2023-03-23 09:11:58	ga_ls8c_ard_3-2-1_089079_2023-03-22_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-03-24 09:55:13	ga_ls8c_ard_3-2-1_096079_2023-03-24_final
2023-03-30 10:56:59	ga_ls8c_ard_3-2-1_106079_2023-03-30_final
2023-03-31 10:00:57	ga_ls8c_ard_3-2-1_097078_2023-03-31_final
2023-03-31 10:01:21	ga_ls8c_ard_3-2-1_097079_2023-03-31_final
2023-03-31 11:40:14	ga_ls8c_ard_3-2-1_113079_2023-03-31_final
2023-04-01 10:44:36	ga_ls8c_ard_3-2-1_104079_2023-04-01_final
2023-04-02 09:48:57	ga_ls8c_ard_3-2-1_095079_2023-04-02_final
2023-04-02 11:27:50	ga_ls8c_ard_3-2-1_111079_2023-04-02_final
2023-04-03 10:32:12	ga_ls8c_ard_3-2-1_102079_2023-04-03_final
2023-04-05 11:58:17	ga_ls8c_ard_3-2-1_116078_2023-04-05_final
2023-04-06 09:24:09	ga_ls8c_ard_3-2-1_091079_2023-04-05_final
2023-04-06 11:03:02	ga_ls8c_ard_3-2-1_107079_2023-04-06_final
2023-04-07 10:07:24	ga_ls8c_ard_3-2-1_098079_2023-04-07_final
2023-04-11 11:21:28	ga_ls8c_ard_3-2-1_110079_2023-04-11_final
2023-04-12 10:25:50	ga_ls8c_ard_3-2-1_101079_2023-04-12_final
2023-04-13 09:30:13	ga_ls8c_ard_3-2-1_092079_2023-04-13_final
2023-04-13 11:09:06	ga_ls8c_ard_3-2-1_108079_2023-04-13_final
2023-04-14 10:13:28	ga_ls8c_ard_3-2-1_099079_2023-04-14_final
2023-04-14 11:52:21	ga_ls8c_ard_3-2-1_115079_2023-04-14_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