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
2013-04-18 10:11:20	ga_ls8c_ard_3-0-0_099068_2013-04-18_final
2013-04-19 10:54:36	ga_ls8c_ard_3-0-0_106068_2013-04-19_final
2013-07-07 10:11:31	ga_ls8c_ard_3-0-0_099068_2013-07-07_final
2013-07-07 10:11:55	ga_ls8c_ard_3-0-0_099069_2013-07-07_final
2013-07-08 10:54:47	ga_ls8c_ard_3-0-0_106068_2013-07-08_final
2013-07-08 10:55:11	ga_ls8c_ard_3-0-0_106069_2013-07-08_final
2013-07-28 10:30:03	ga_ls8c_ard_3-0-0_102068_2013-07-28_final
2013-07-28 10:30:27	ga_ls8c_ard_3-0-0_102069_2013-07-28_final
2013-07-29 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-07-29_final
2013-09-18 10:05:18	ga_ls8c_ard_3-0-0_098068_2013-09-18_final
2013-09-18 10:05:42	ga_ls8c_ard_3-0-0_098069_2013-09-18_final
2014-07-22 10:34:07	ga_ls8c_ard_3-0-0_103068_2014-07-22_final
2014-07-22 10:34:31	ga_ls8c_ard_3-0-0_103069_2014-07-22_final
2014-07-23 11:17:23	ga_ls8c_ard_3-0-0_110068_2014-07-23_final
2014-07-23 11:17:47	ga_ls8c_ard_3-0-0_110069_2014-07-23_final
2014-07-25 09:26:09	ga_ls8c_ard_3-0-0_092068_2014-07-24_final
2014-07-25 11:05:02	ga_ls8c_ard_3-0-0_108068_2014-07-25_final
2014-07-25 11:05:26	ga_ls8c_ard_3-0-0_108069_2014-07-25_final
2014-07-26 10:09:25	ga_ls8c_ard_3-0-0_099068_2014-07-26_final
2014-07-26 10:09:49	ga_ls8c_ard_3-0-0_099069_2014-07-26_final
2014-07-27 10:52:42	ga_ls8c_ard_3-0-0_106068_2014-07-27_final
2014-07-27 10:53:06	ga_ls8c_ard_3-0-0_106069_2014-07-27_final
2014-10-07 10:03:33	ga_ls8c_ard_3-0-0_098068_2014-10-07_final
2014-10-07 10:03:56	ga_ls8c_ard_3-0-0_098069_2014-10-07_final
2014-10-08 10:46:48	ga_ls8c_ard_3-0-0_105068_2014-10-08_final
2014-10-08 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-10-08_final
2014-10-09 11:30:04	ga_ls8c_ard_3-0-0_112068_2014-10-09_final
2014-10-09 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-10-09_final
2014-10-09 13:08:57	ga_ls8c_ard_3-2-1_128068_2014-10-09_interim
2014-10-10 10:34:27	ga_ls8c_ard_3-0-0_103068_2014-10-10_final
2014-10-10 10:34:51	ga_ls8c_ard_3-0-0_103069_2014-10-10_final
2014-10-11 11:17:43	ga_ls8c_ard_3-0-0_110068_2014-10-11_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-10-13 09:26:29	ga_ls8c_ard_3-0-0_092068_2014-10-12_final
2014-12-13 10:34:20	ga_ls8c_ard_3-0-0_103068_2014-12-13_final
2014-12-13 10:34:44	ga_ls8c_ard_3-0-0_103069_2014-12-13_final
2014-12-14 11:17:36	ga_ls8c_ard_3-0-0_110068_2014-12-14_final
2014-12-14 11:18:00	ga_ls8c_ard_3-0-0_110069_2014-12-14_final
2014-12-16 09:26:23	ga_ls8c_ard_3-0-0_092068_2014-12-15_final
2014-12-17 10:09:39	ga_ls8c_ard_3-0-0_099068_2014-12-17_final
2014-12-17 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-12-17_final
2014-12-18 10:52:55	ga_ls8c_ard_3-0-0_106068_2014-12-18_final
2023-03-11 10:22:16	ga_ls8c_ard_3-2-1_101069_2023-03-11_final
2023-03-12 11:05:32	ga_ls8c_ard_3-2-1_108069_2023-03-12_final
2023-03-13 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-03-13_final
2023-03-13 10:09:54	ga_ls8c_ard_3-2-1_099069_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
2023-03-15 09:57:32	ga_ls8c_ard_3-2-1_097069_2023-03-15_final
2023-03-16 10:40:23	ga_ls8c_ard_3-2-1_104068_2023-03-16_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-03-18 10:28:00	ga_ls8c_ard_3-2-1_102068_2023-03-18_final
2023-03-19 11:11:39	ga_ls8c_ard_3-2-1_109069_2023-03-19_final
2023-03-23 10:46:27	ga_ls8c_ard_3-2-1_105068_2023-03-23_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-03-29 10:09:44	ga_ls8c_ard_3-2-1_099069_2023-03-29_final
2023-03-30 10:52:35	ga_ls8c_ard_3-2-1_106068_2023-03-30_final
2023-03-31 09:56:57	ga_ls8c_ard_3-2-1_097068_2023-03-31_final
2023-04-14 10:09:05	ga_ls8c_ard_3-2-1_099068_2023-04-14_final
2023-04-15 10:52:20	ga_ls8c_ard_3-2-1_106068_2023-04-15_final
2023-04-15 10:52:44	ga_ls8c_ard_3-2-1_106069_2023-04-15_final
2023-04-16 09:56:43	ga_ls8c_ard_3-2-1_097068_2023-04-16_final
2023-04-19 10:27:35	ga_ls8c_ard_3-2-1_102068_2023-04-19_final
2023-04-19 10:27:59	ga_ls8c_ard_3-2-1_102069_2023-04-19_final
2023-04-20 11:11:14	ga_ls8c_ard_3-2-1_109069_2023-04-20_final
2023-04-30 10:09:01	ga_ls8c_ard_3-2-1_099068_2023-04-30_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-05-02 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-05-02_final
2023-05-03 10:39:53	ga_ls8c_ard_3-2-1_104068_2023-05-03_final
2024-03-15 10:09:21	ga_ls8c_ard_3-2-1_099068_2024-03-15_final
2024-03-15 10:09:45	ga_ls8c_ard_3-2-1_099069_2024-03-15_final
2024-03-16 10:52:36	ga_ls8c_ard_3-2-1_106068_2024-03-16_final
2024-03-16 10:53:00	ga_ls8c_ard_3-2-1_106069_2024-03-16_final
2024-03-17 09:56:58	ga_ls8c_ard_3-2-1_097068_2024-03-17_final
2024-03-17 09:57:22	ga_ls8c_ard_3-2-1_097069_2024-03-17_final
2024-03-18 10:40:13	ga_ls8c_ard_3-2-1_104068_2024-03-18_final
2024-03-18 10:40:37	ga_ls8c_ard_3-2-1_104069_2024-03-18_final
2024-04-01 10:52:24	ga_ls8c_ard_3-2-1_106068_2024-04-01_final
2024-04-02 09:56:47	ga_ls8c_ard_3-2-1_097068_2024-04-02_final
2024-04-03 10:40:02	ga_ls8c_ard_3-2-1_104068_2024-04-03_final
2024-04-03 10:40:26	ga_ls8c_ard_3-2-1_104069_2024-04-03_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_final
2024-04-04 11:23:42	ga_ls8c_ard_3-2-1_111069_2024-04-04_final
2024-04-05 10:27:41	ga_ls8c_ard_3-2-1_102068_2024-04-05_final
2024-04-05 10:28:05	ga_ls8c_ard_3-2-1_102069_2024-04-05_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
2024-04-10 10:46:36	ga_ls8c_ard_3-2-1_105069_2024-04-10_final
2024-04-12 10:33:49	ga_ls8c_ard_3-2-1_103068_2024-04-12_final
2024-04-12 10:34:13	ga_ls8c_ard_3-2-1_103069_2024-04-12_final
2024-04-13 11:17:28	ga_ls8c_ard_3-2-1_110069_2024-04-13_final
2024-04-15 11:05:05	ga_ls8c_ard_3-2-1_108069_2024-04-15_final
2024-04-16 10:09:03	ga_ls8c_ard_3-2-1_099068_2024-04-16_final
2024-04-16 10:09:27	ga_ls8c_ard_3-2-1_099069_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
2024-04-25 10:02:48	ga_ls8c_ard_3-2-1_098068_2024-04-25_final
2024-04-26 10:46:03	ga_ls8c_ard_3-2-1_105068_2024-04-26_final
2024-04-28 10:33:39	ga_ls8c_ard_3-2-1_103068_2024-04-28_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