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
2014-08-10 09:30:18	ga_ls8c_ard_3-0-0_092078_2014-08-10_final
2014-08-10 09:30:42	ga_ls8c_ard_3-0-0_092079_2014-08-10_final
2014-08-10 11:09:35	ga_ls8c_ard_3-0-0_108079_2014-08-10_final
2014-08-11 10:13:34	ga_ls8c_ard_3-0-0_099078_2014-08-11_final
2014-08-11 10:13:58	ga_ls8c_ard_3-0-0_099079_2014-08-11_final
2014-08-11 11:52:27	ga_ls8c_ard_3-0-0_115078_2014-08-11_final
2014-08-11 11:52:51	ga_ls8c_ard_3-0-0_115079_2014-08-11_final
2014-08-12 09:17:57	ga_ls8c_ard_3-0-0_090078_2014-08-11_final
2014-08-12 09:18:21	ga_ls8c_ard_3-0-0_090079_2014-08-11_final
2014-08-12 10:56:50	ga_ls8c_ard_3-0-0_106078_2014-08-12_final
2014-08-12 10:57:14	ga_ls8c_ard_3-0-0_106079_2014-08-12_final
2014-08-26 09:30:20	ga_ls8c_ard_3-0-0_092078_2014-08-26_final
2014-08-26 09:30:44	ga_ls8c_ard_3-0-0_092079_2014-08-26_final
2014-08-26 11:09:13	ga_ls8c_ard_3-0-0_108078_2014-08-26_final
2014-08-26 11:09:37	ga_ls8c_ard_3-0-0_108079_2014-08-26_final
2014-08-27 10:13:36	ga_ls8c_ard_3-0-0_099078_2014-08-27_final
2014-08-27 10:14:00	ga_ls8c_ard_3-0-0_099079_2014-08-27_final
2014-08-27 11:52:29	ga_ls8c_ard_3-0-0_115078_2014-08-27_final
2014-08-27 11:52:53	ga_ls8c_ard_3-0-0_115079_2014-08-27_final
2014-08-28 09:17:58	ga_ls8c_ard_3-0-0_090078_2014-08-27_final
2014-08-28 09:18:22	ga_ls8c_ard_3-0-0_090079_2014-08-27_final
2014-08-28 10:56:51	ga_ls8c_ard_3-0-0_106078_2014-08-28_final
2014-08-28 10:57:15	ga_ls8c_ard_3-0-0_106079_2014-08-28_final
2018-02-13 10:00:59	ga_ls8c_ard_3-0-0_097078_2018-02-13_final
2018-02-13 10:01:23	ga_ls8c_ard_3-0-0_097079_2018-02-13_final
2018-02-13 11:40:16	ga_ls8c_ard_3-0-0_113079_2018-02-13_final
2018-02-14 09:05:45	ga_ls8c_ard_3-0-0_088079_2018-02-13_final
2018-02-14 10:44:38	ga_ls8c_ard_3-0-0_104079_2018-02-14_final
2018-02-15 09:48:36	ga_ls8c_ard_3-0-0_095078_2018-02-15_final
2018-02-15 09:49:00	ga_ls8c_ard_3-0-0_095079_2018-02-15_final
2018-02-15 11:27:53	ga_ls8c_ard_3-0-0_111079_2018-02-15_final
2018-04-06 09:35:50	ga_ls8c_ard_3-0-0_093078_2018-04-06_final
2018-04-06 09:36:14	ga_ls8c_ard_3-0-0_093079_2018-04-06_final
2018-04-06 11:15:07	ga_ls8c_ard_3-0-0_109079_2018-04-06_final
2018-04-07 10:19:30	ga_ls8c_ard_3-0-0_100079_2018-04-07_final
2018-04-07 11:57:59	ga_ls8c_ard_3-0-0_116078_2018-04-07_final
2018-04-08 09:23:28	ga_ls8c_ard_3-0-0_091078_2018-04-07_final
2018-04-08 09:23:52	ga_ls8c_ard_3-0-0_091079_2018-04-07_final
2018-04-08 11:02:21	ga_ls8c_ard_3-0-0_107078_2018-04-08_final
2018-04-08 11:02:45	ga_ls8c_ard_3-0-0_107079_2018-04-08_final
2018-04-16 10:13:13	ga_ls8c_ard_3-0-0_099079_2018-04-16_final
2018-04-16 11:51:42	ga_ls8c_ard_3-0-0_115078_2018-04-16_final
2018-04-16 11:52:06	ga_ls8c_ard_3-0-0_115079_2018-04-16_final
2018-04-17 09:17:35	ga_ls8c_ard_3-0-0_090079_2018-04-16_final
2018-04-17 10:56:04	ga_ls8c_ard_3-0-0_106078_2018-04-17_final
2018-04-17 10:56:28	ga_ls8c_ard_3-0-0_106079_2018-04-17_final
2018-04-18 10:00:50	ga_ls8c_ard_3-0-0_097079_2018-04-18_final
2018-04-18 11:39:43	ga_ls8c_ard_3-0-0_113079_2018-04-18_final
2018-04-22 09:36:05	ga_ls8c_ard_3-0-0_093079_2018-04-22_final
2018-04-22 11:14:58	ga_ls8c_ard_3-0-0_109079_2018-04-22_final
2018-04-23 10:19:20	ga_ls8c_ard_3-0-0_100079_2018-04-23_final
2018-04-23 11:57:49	ga_ls8c_ard_3-0-0_116078_2018-04-23_final
2018-04-24 09:23:42	ga_ls8c_ard_3-0-0_091079_2018-04-23_final
2018-04-24 11:02:11	ga_ls8c_ard_3-0-0_107078_2018-04-24_final
2018-04-24 11:02:35	ga_ls8c_ard_3-0-0_107079_2018-04-24_final
2018-07-20 09:29:27	ga_ls8c_ard_3-0-0_092078_2018-07-19_final
2018-07-20 09:29:51	ga_ls8c_ard_3-0-0_092079_2018-07-19_final
2018-07-20 11:08:20	ga_ls8c_ard_3-0-0_108078_2018-07-20_final
2018-07-20 11:08:44	ga_ls8c_ard_3-0-0_108079_2018-07-20_final
2018-07-21 10:12:43	ga_ls8c_ard_3-0-0_099078_2018-07-21_final
2018-07-21 10:13:07	ga_ls8c_ard_3-0-0_099079_2018-07-21_final
2018-07-21 11:51:37	ga_ls8c_ard_3-0-0_115078_2018-07-21_final
2018-07-21 11:52:00	ga_ls8c_ard_3-0-0_115079_2018-07-21_final
2018-07-22 09:17:06	ga_ls8c_ard_3-0-0_090078_2018-07-21_final
2018-07-22 09:17:30	ga_ls8c_ard_3-0-0_090079_2018-07-21_final
2018-07-22 10:55:59	ga_ls8c_ard_3-0-0_106078_2018-07-22_final
2018-07-22 10:56:23	ga_ls8c_ard_3-0-0_106079_2018-07-22_final
2023-10-11 09:48:58	ga_ls8c_ard_3-2-1_095078_2023-10-11_final
2023-10-11 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-10-11_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_final
2023-10-11 11:28:15	ga_ls8c_ard_3-2-1_111079_2023-10-11_final
2023-10-12 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-10-12_final
2023-10-12 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-10-12_final
2023-10-13 09:36:36	ga_ls8c_ard_3-2-1_093078_2023-10-13_final
2023-10-13 09:37:00	ga_ls8c_ard_3-2-1_093079_2023-10-13_final
2023-10-15 11:03:07	ga_ls8c_ard_3-2-1_107078_2023-10-15_final
2023-10-15 11:03:07	ga_ls8c_ard_3-2-1_107078_2023-10-15_nrt
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_final
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_nrt
2023-10-22 11:09:18	ga_ls8c_ard_3-2-1_108078_2023-10-22_final
2023-10-22 11:09:42	ga_ls8c_ard_3-2-1_108079_2023-10-22_final
2023-10-23 10:13:42	ga_ls8c_ard_3-2-1_099078_2023-10-23_final
2023-10-23 10:14:05	ga_ls8c_ard_3-2-1_099079_2023-10-23_final
2023-10-23 11:52:35	ga_ls8c_ard_3-2-1_115078_2023-10-23_final
2023-10-23 11:52:59	ga_ls8c_ard_3-2-1_115079_2023-10-23_final
2023-10-24 09:18:05	ga_ls8c_ard_3-2-1_090078_2023-10-23_final
2023-10-24 09:18:29	ga_ls8c_ard_3-2-1_090079_2023-10-23_final
2023-10-24 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-10-24_final
2023-10-24 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-10-24_final
2023-10-25 10:01:21	ga_ls8c_ard_3-2-1_097078_2023-10-25_final
2023-10-25 10:01:45	ga_ls8c_ard_3-2-1_097079_2023-10-25_final
2024-01-09 10:26:23	ga_ls8c_ard_3-2-1_101079_2024-01-09_final
2024-01-10 11:09:15	ga_ls8c_ard_3-2-1_108078_2024-01-10_final
2024-01-10 11:09:39	ga_ls8c_ard_3-2-1_108079_2024-01-10_final
2024-01-11 10:13:38	ga_ls8c_ard_3-2-1_099078_2024-01-11_final
2024-01-12 09:18:01	ga_ls8c_ard_3-2-1_090078_2024-01-11_final
2024-01-12 09:18:25	ga_ls8c_ard_3-2-1_090079_2024-01-11_final
2024-01-12 10:56:54	ga_ls8c_ard_3-2-1_106078_2024-01-12_final
2024-01-12 10:57:18	ga_ls8c_ard_3-2-1_106079_2024-01-12_final
2024-01-13 10:01:17	ga_ls8c_ard_3-2-1_097078_2024-01-13_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