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
2014-01-08 10:05:27	ga_ls8c_ard_3-0-0_098070_2014-01-08_final
2014-01-09 10:48:17	ga_ls8c_ard_3-0-0_105069_2014-01-09_final
2014-01-09 10:48:41	ga_ls8c_ard_3-0-0_105070_2014-01-09_final
2014-01-11 10:35:53	ga_ls8c_ard_3-0-0_103069_2014-01-11_final
2014-01-11 10:36:17	ga_ls8c_ard_3-0-0_103070_2014-01-11_final
2014-02-10 10:48:19	ga_ls8c_ard_3-0-0_105070_2014-02-10_final
2014-02-11 09:52:41	ga_ls8c_ard_3-0-0_096070_2014-02-11_final
2014-02-12 10:35:55	ga_ls8c_ard_3-0-0_103070_2014-02-12_final
2014-02-13 11:19:10	ga_ls8c_ard_3-0-0_110070_2014-02-13_final
2014-05-12 10:28:27	ga_ls8c_ard_3-0-0_102070_2014-05-12_final
2014-05-13 11:11:42	ga_ls8c_ard_3-0-0_109070_2014-05-13_final
2014-05-15 10:59:19	ga_ls8c_ard_3-0-0_107070_2014-05-15_final
2014-05-17 10:46:32	ga_ls8c_ard_3-0-0_105069_2014-05-17_final
2014-05-17 10:46:56	ga_ls8c_ard_3-0-0_105070_2014-05-17_final
2020-06-01 10:03:15	ga_ls8c_ard_3-1-0_098069_2020-06-01_final
2020-06-01 10:03:39	ga_ls8c_ard_3-1-0_098070_2020-06-01_final
2020-06-02 10:46:31	ga_ls8c_ard_3-1-0_105069_2020-06-02_final
2020-06-02 10:46:55	ga_ls8c_ard_3-1-0_105070_2020-06-02_final
2020-06-03 09:50:54	ga_ls8c_ard_3-1-0_096069_2020-06-03_final
2020-06-03 09:51:18	ga_ls8c_ard_3-1-0_096070_2020-06-03_final
2020-06-03 11:29:48	ga_ls8c_ard_3-1-0_112069_2020-06-03_final
2020-06-03 11:30:11	ga_ls8c_ard_3-1-0_112070_2020-06-03_final
2020-06-17 10:03:25	ga_ls8c_ard_3-1-0_098069_2020-06-17_final
2020-06-17 10:03:49	ga_ls8c_ard_3-1-0_098070_2020-06-17_final
2020-06-18 10:46:41	ga_ls8c_ard_3-1-0_105069_2020-06-18_final
2020-06-18 10:47:05	ga_ls8c_ard_3-1-0_105070_2020-06-18_final
2020-06-19 09:51:04	ga_ls8c_ard_3-1-0_096069_2020-06-19_final
2020-06-19 09:51:28	ga_ls8c_ard_3-1-0_096070_2020-06-19_final
2020-06-19 11:29:57	ga_ls8c_ard_3-1-0_112069_2020-06-19_final
2020-06-19 11:30:21	ga_ls8c_ard_3-1-0_112070_2020-06-19_final
2020-07-23 11:17:49	ga_ls8c_ard_3-1-0_110069_2020-07-23_final
2020-07-23 11:18:13	ga_ls8c_ard_3-1-0_110070_2020-07-23_final
2020-07-24 10:22:12	ga_ls8c_ard_3-1-0_101069_2020-07-24_final
2020-07-24 10:22:36	ga_ls8c_ard_3-1-0_101070_2020-07-24_final
2020-07-25 11:05:28	ga_ls8c_ard_3-1-0_108069_2020-07-25_final
2020-07-25 11:05:52	ga_ls8c_ard_3-1-0_108070_2020-07-25_final
2020-08-01 11:11:41	ga_ls8c_ard_3-1-0_109069_2020-08-01_final
2020-08-01 11:12:05	ga_ls8c_ard_3-1-0_109070_2020-08-01_final
2020-08-02 10:16:03	ga_ls8c_ard_3-1-0_100069_2020-08-02_final
2020-08-02 10:16:27	ga_ls8c_ard_3-1-0_100070_2020-08-02_final
2020-08-03 10:59:19	ga_ls8c_ard_3-1-0_107069_2020-08-03_final
2020-08-03 10:59:43	ga_ls8c_ard_3-1-0_107070_2020-08-03_final
2020-08-09 10:22:15	ga_ls8c_ard_3-1-0_101069_2020-08-09_final
2020-08-09 10:22:39	ga_ls8c_ard_3-1-0_101070_2020-08-09_final
2020-08-10 11:05:31	ga_ls8c_ard_3-1-0_108069_2020-08-10_final
2020-08-10 11:05:55	ga_ls8c_ard_3-1-0_108070_2020-08-10_final
2020-08-11 10:09:54	ga_ls8c_ard_3-1-0_099069_2020-08-11_final
2020-08-11 10:10:18	ga_ls8c_ard_3-1-0_099070_2020-08-11_final
2020-08-12 10:53:10	ga_ls8c_ard_3-1-0_106069_2020-08-12_final
2020-08-12 10:53:34	ga_ls8c_ard_3-1-0_106070_2020-08-12_final
2020-08-13 09:57:33	ga_ls8c_ard_3-1-0_097069_2020-08-13_final
2020-08-13 09:57:57	ga_ls8c_ard_3-1-0_097070_2020-08-13_final
2020-08-21 10:47:04	ga_ls8c_ard_3-1-0_105069_2020-08-21_final
2020-08-21 10:47:28	ga_ls8c_ard_3-1-0_105070_2020-08-21_final
2020-08-22 09:51:28	ga_ls8c_ard_3-1-0_096069_2020-08-22_final
2020-08-22 09:51:52	ga_ls8c_ard_3-1-0_096070_2020-08-22_final
2020-08-22 11:30:21	ga_ls8c_ard_3-1-0_112069_2020-08-22_final
2020-08-22 11:30:45	ga_ls8c_ard_3-1-0_112070_2020-08-22_final
2020-08-26 11:05:39	ga_ls8c_ard_3-1-0_108069_2020-08-26_final
2020-08-26 11:06:03	ga_ls8c_ard_3-1-0_108070_2020-08-26_final
2020-08-27 10:10:03	ga_ls8c_ard_3-1-0_099069_2020-08-27_final
2020-08-27 10:10:26	ga_ls8c_ard_3-1-0_099070_2020-08-27_final
2020-10-04 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-10-04_final
2020-10-04 11:12:27	ga_ls8c_ard_3-1-0_109070_2020-10-04_final
2020-10-05 10:16:26	ga_ls8c_ard_3-1-0_100069_2020-10-05_final
2020-10-05 10:16:50	ga_ls8c_ard_3-1-0_100070_2020-10-05_final
2020-10-06 10:59:42	ga_ls8c_ard_3-1-0_107069_2020-10-06_final
2020-10-06 11:00:06	ga_ls8c_ard_3-1-0_107070_2020-10-06_final
2020-10-20 11:12:04	ga_ls8c_ard_3-1-0_109069_2020-10-20_final
2020-10-20 11:12:28	ga_ls8c_ard_3-1-0_109070_2020-10-20_final
2020-10-21 10:16:27	ga_ls8c_ard_3-1-0_100069_2020-10-21_final
2020-10-21 10:16:51	ga_ls8c_ard_3-1-0_100070_2020-10-21_final
2020-10-22 10:59:42	ga_ls8c_ard_3-1-0_107069_2020-10-22_final
2020-10-22 11:00:06	ga_ls8c_ard_3-1-0_107070_2020-10-22_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-11-12 11:18:35	ga_ls8c_ard_3-1-0_110070_2020-11-12_final
2020-11-15 10:10:13	ga_ls8c_ard_3-1-0_099069_2020-11-15_final
2020-11-15 10:10:37	ga_ls8c_ard_3-1-0_099070_2020-11-15_final
2020-11-19 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-11-19_final
2020-11-19 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-11-19_final
2020-11-19 11:24:48	ga_ls8c_ard_3-1-0_111070_2020-11-19_final
2020-11-20 10:29:11	ga_ls8c_ard_3-1-0_102070_2020-11-20_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2020-11-21 11:12:27	ga_ls8c_ard_3-1-0_109070_2020-11-21_final
2020-11-22 10:16:26	ga_ls8c_ard_3-1-0_100069_2020-11-22_final
2020-11-22 10:16:50	ga_ls8c_ard_3-1-0_100070_2020-11-22_final
2020-12-04 10:41:35	ga_ls8c_ard_3-1-0_104070_2020-12-04_final
2020-12-05 09:45:58	ga_ls8c_ard_3-1-0_095070_2020-12-05_final
2020-12-05 11:24:27	ga_ls8c_ard_3-1-0_111069_2020-12-05_final
2020-12-05 11:24:51	ga_ls8c_ard_3-1-0_111070_2020-12-05_final
2020-12-06 10:28:49	ga_ls8c_ard_3-1-0_102069_2020-12-06_final
2020-12-06 10:29:13	ga_ls8c_ard_3-1-0_102070_2020-12-06_final
2020-12-07 11:12:29	ga_ls8c_ard_3-1-0_109070_2020-12-07_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-20 10:10:39	ga_ls8c_ard_3-2-1_099070_2021-12-20_final
2021-12-21 10:53:31	ga_ls8c_ard_3-2-1_106069_2021-12-21_final
2021-12-21 10:53:54	ga_ls8c_ard_3-2-1_106070_2021-12-21_final
2021-12-22 09:57:53	ga_ls8c_ard_3-2-1_097069_2021-12-22_final
2021-12-22 09:58:17	ga_ls8c_ard_3-2-1_097070_2021-12-22_final
2021-12-23 10:41:08	ga_ls8c_ard_3-2-1_104069_2021-12-23_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