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
2013-04-30 10:36:02	ga_ls8c_ard_3-0-0_103068_2013-04-30_final
2013-09-11 09:59:34	ga_ls8c_ard_3-0-0_097069_2013-09-11_final
2013-09-12 10:42:26	ga_ls8c_ard_3-0-0_104068_2013-09-12_final
2013-09-13 11:25:41	ga_ls8c_ard_3-0-0_111068_2013-09-13_final
2013-09-14 10:30:03	ga_ls8c_ard_3-0-0_102068_2013-09-14_final
2013-09-14 10:30:27	ga_ls8c_ard_3-0-0_102069_2013-09-14_final
2013-09-15 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-09-15_final
2014-09-30 09:57:43	ga_ls8c_ard_3-0-0_097069_2014-09-30_final
2014-10-01 10:40:35	ga_ls8c_ard_3-0-0_104068_2014-10-01_final
2014-10-01 10:40:59	ga_ls8c_ard_3-0-0_104069_2014-10-01_final
2014-10-02 11:23:51	ga_ls8c_ard_3-0-0_111068_2014-10-02_final
2014-10-03 10:28:15	ga_ls8c_ard_3-0-0_102068_2014-10-03_final
2014-10-03 10:28:39	ga_ls8c_ard_3-0-0_102069_2014-10-03_final
2014-10-04 09:32:38	ga_ls8c_ard_3-0-0_093068_2014-10-04_final
2017-03-30 09:56:45	ga_ls8c_ard_3-0-0_097068_2017-03-30_final
2017-03-31 10:40:01	ga_ls8c_ard_3-0-0_104068_2017-03-31_final
2017-04-01 11:23:16	ga_ls8c_ard_3-0-0_111068_2017-04-01_final
2017-05-17 09:56:37	ga_ls8c_ard_3-0-0_097068_2017-05-17_final
2017-05-18 10:39:54	ga_ls8c_ard_3-0-0_104068_2017-05-18_final
2017-05-18 10:40:18	ga_ls8c_ard_3-0-0_104069_2017-05-18_final
2017-05-19 11:23:10	ga_ls8c_ard_3-0-0_111068_2017-05-19_final
2017-05-19 11:23:34	ga_ls8c_ard_3-0-0_111069_2017-05-19_final
2017-05-20 10:27:33	ga_ls8c_ard_3-0-0_102068_2017-05-20_final
2017-05-20 10:27:57	ga_ls8c_ard_3-0-0_102069_2017-05-20_final
2017-05-21 09:31:57	ga_ls8c_ard_3-0-0_093068_2017-05-21_final
2017-05-21 11:10:50	ga_ls8c_ard_3-0-0_109068_2017-05-21_final
2017-05-21 11:11:14	ga_ls8c_ard_3-0-0_109069_2017-05-21_final
2017-05-22 10:15:13	ga_ls8c_ard_3-0-0_100068_2017-05-22_final
2017-05-22 10:15:37	ga_ls8c_ard_3-0-0_100069_2017-05-22_final
2017-05-23 09:19:36	ga_ls8c_ard_3-0-0_091068_2017-05-22_final
2017-07-07 10:27:52	ga_ls8c_ard_3-0-0_102068_2017-07-07_final
2017-07-07 10:28:16	ga_ls8c_ard_3-0-0_102069_2017-07-07_final
2017-07-08 09:32:15	ga_ls8c_ard_3-0-0_093068_2017-07-08_final
2017-07-08 11:11:08	ga_ls8c_ard_3-0-0_109068_2017-07-08_final
2017-07-08 11:11:32	ga_ls8c_ard_3-0-0_109069_2017-07-08_final
2017-07-09 10:15:30	ga_ls8c_ard_3-0-0_100068_2017-07-09_final
2017-07-09 10:15:54	ga_ls8c_ard_3-0-0_100069_2017-07-09_final
2017-07-10 09:19:53	ga_ls8c_ard_3-0-0_091068_2017-07-09_final
2017-07-14 10:34:04	ga_ls8c_ard_3-0-0_103068_2017-07-14_final
2017-07-14 10:34:28	ga_ls8c_ard_3-0-0_103069_2017-07-14_final
2017-07-15 11:17:20	ga_ls8c_ard_3-0-0_110068_2017-07-15_final
2017-07-15 11:17:44	ga_ls8c_ard_3-0-0_110069_2017-07-15_final
2017-07-16 10:21:43	ga_ls8c_ard_3-0-0_101068_2017-07-16_final
2017-07-17 09:26:06	ga_ls8c_ard_3-0-0_092068_2017-07-16_final
2023-02-03 10:46:59	ga_ls8c_ard_3-2-1_105068_2023-02-03_final
2023-02-03 10:47:23	ga_ls8c_ard_3-2-1_105069_2023-02-03_final
2023-02-10 10:53:07	ga_ls8c_ard_3-2-1_106068_2023-02-10_final
2023-02-11 09:57:29	ga_ls8c_ard_3-2-1_097068_2023-02-11_final
2023-02-12 10:40:44	ga_ls8c_ard_3-2-1_104068_2023-02-12_final
2023-02-13 11:23:59	ga_ls8c_ard_3-2-1_111068_2023-02-13_final
2023-02-13 11:24:23	ga_ls8c_ard_3-2-1_111069_2023-02-13_final
2023-02-14 10:28:21	ga_ls8c_ard_3-2-1_102068_2023-02-14_final
2023-02-17 10:59:12	ga_ls8c_ard_3-2-1_107068_2023-02-17_final
2023-02-18 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-02-18_final
2023-02-19 10:46:48	ga_ls8c_ard_3-2-1_105068_2023-02-19_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-02-21 10:34:48	ga_ls8c_ard_3-2-1_103069_2023-02-21_final
2023-02-25 10:09:35	ga_ls8c_ard_3-2-1_099068_2023-02-25_final
2023-02-26 10:52:51	ga_ls8c_ard_3-2-1_106068_2023-02-26_final
2023-03-01 11:23:45	ga_ls8c_ard_3-2-1_111068_2023-03-01_final
2023-03-02 10:28:07	ga_ls8c_ard_3-2-1_102068_2023-03-02_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-03-09 10:34:37	ga_ls8c_ard_3-2-1_103069_2023-03-09_final
2023-03-13 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-03-13_final
2023-03-14 10:52:46	ga_ls8c_ard_3-2-1_106068_2023-03-14_final
2023-03-15 09:57:08	ga_ls8c_ard_3-2-1_097068_2023-03-15_final
2023-03-16 10:40:23	ga_ls8c_ard_3-2-1_104068_2023-03-16_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-04-17 10:39:58	ga_ls8c_ard_3-2-1_104068_2023-04-17_final
2023-04-18 11:23:13	ga_ls8c_ard_3-2-1_111068_2023-04-18_final
2023-04-19 10:27:35	ga_ls8c_ard_3-2-1_102068_2023-04-19_final
2023-04-26 10:33:46	ga_ls8c_ard_3-2-1_103068_2023-04-26_final
2023-04-30 10:09:01	ga_ls8c_ard_3-2-1_099068_2023-04-30_final
2023-05-24 10:58:16	ga_ls8c_ard_3-2-1_107068_2023-05-24_final
2023-05-24 10:58:40	ga_ls8c_ard_3-2-1_107069_2023-05-24_final
2023-05-25 10:02:39	ga_ls8c_ard_3-2-1_098068_2023-05-25_final
2023-05-25 10:03:03	ga_ls8c_ard_3-2-1_098069_2023-05-25_final
2023-05-30 10:21:36	ga_ls8c_ard_3-2-1_101069_2023-05-30_final
2023-05-31 11:04:52	ga_ls8c_ard_3-2-1_108069_2023-05-31_final
2023-06-01 10:08:50	ga_ls8c_ard_3-2-1_099068_2023-06-01_final
2023-06-01 10:09:14	ga_ls8c_ard_3-2-1_099069_2023-06-01_final
2023-06-02 10:52:06	ga_ls8c_ard_3-2-1_106068_2023-06-02_final
2023-06-02 10:52:30	ga_ls8c_ard_3-2-1_106069_2023-06-02_final
2024-03-25 10:46:16	ga_ls8c_ard_3-2-1_105068_2024-03-25_final
2024-03-27 10:33:51	ga_ls8c_ard_3-2-1_103068_2024-03-27_final
2024-03-27 10:34:15	ga_ls8c_ard_3-2-1_103069_2024-03-27_final
2024-04-08 10:58:34	ga_ls8c_ard_3-2-1_107068_2024-04-08_interim
2024-04-09 10:02:57	ga_ls8c_ard_3-2-1_098068_2024-04-09_final
2024-04-10 10:46:12	ga_ls8c_ard_3-2-1_105068_2024-04-10_final
2024-04-12 10:33:49	ga_ls8c_ard_3-2-1_103068_2024-04-12_final
2024-04-16 10:09:03	ga_ls8c_ard_3-2-1_099068_2024-04-16_final
2024-04-17 10:52:18	ga_ls8c_ard_3-2-1_106068_2024-04-17_final
2024-04-18 09:56:39	ga_ls8c_ard_3-2-1_097068_2024-04-18_final
2024-04-19 10:39:53	ga_ls8c_ard_3-2-1_104068_2024-04-19_final
2024-04-20 11:23:09	ga_ls8c_ard_3-2-1_111068_2024-04-20_final
2024-04-21 10:27:32	ga_ls8c_ard_3-2-1_102068_2024-04-21_final
2024-04-28 10:33:39	ga_ls8c_ard_3-2-1_103068_2024-04-28_final
2024-05-02 10:08:51	ga_ls8c_ard_3-2-1_099068_2024-05-02_final
2024-05-06 11:23:00	ga_ls8c_ard_3-2-1_111068_2024-05-06_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