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
2013-12-19 10:30:20	ga_ls8c_ard_3-0-0_102070_2013-12-19_final
2013-12-20 11:13:35	ga_ls8c_ard_3-0-0_109070_2013-12-20_final
2014-01-08 10:05:27	ga_ls8c_ard_3-0-0_098070_2014-01-08_final
2014-01-09 10:48:41	ga_ls8c_ard_3-0-0_105070_2014-01-09_final
2014-01-11 10:36:17	ga_ls8c_ard_3-0-0_103070_2014-01-11_final
2015-01-08 11:12:11	ga_ls8c_ard_3-0-0_109070_2015-01-08_final
2015-01-10 10:59:49	ga_ls8c_ard_3-0-0_107070_2015-01-10_final
2015-01-11 10:04:12	ga_ls8c_ard_3-0-0_098070_2015-01-11_final
2015-01-12 10:47:27	ga_ls8c_ard_3-0-0_105070_2015-01-12_final
2015-01-13 09:51:50	ga_ls8c_ard_3-0-0_096070_2015-01-13_final
2015-01-13 11:30:43	ga_ls8c_ard_3-0-0_112070_2015-01-13_final
2015-02-03 10:10:16	ga_ls8c_ard_3-0-0_099070_2015-02-03_final
2015-02-04 10:53:31	ga_ls8c_ard_3-0-0_106070_2015-02-04_final
2015-02-05 09:57:54	ga_ls8c_ard_3-0-0_097070_2015-02-05_final
2015-02-16 11:18:07	ga_ls8c_ard_3-0-0_110070_2015-02-16_final
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-02-18 11:05:46	ga_ls8c_ard_3-0-0_108070_2015-02-18_final
2015-02-19 10:10:08	ga_ls8c_ard_3-0-0_099070_2015-02-19_final
2015-02-20 10:53:24	ga_ls8c_ard_3-0-0_106070_2015-02-20_final
2015-03-29 11:11:36	ga_ls8c_ard_3-0-0_109070_2015-03-29_final
2015-03-30 10:15:57	ga_ls8c_ard_3-0-0_100070_2015-03-30_final
2015-03-31 10:59:12	ga_ls8c_ard_3-0-0_107070_2015-03-31_final
2015-04-01 10:03:34	ga_ls8c_ard_3-0-0_098070_2015-04-01_final
2015-04-02 10:46:48	ga_ls8c_ard_3-0-0_105070_2015-04-02_final
2015-04-03 11:30:03	ga_ls8c_ard_3-0-0_112070_2015-04-03_final
2015-06-20 10:03:03	ga_ls8c_ard_3-0-0_098069_2015-06-20_final
2015-06-20 10:03:27	ga_ls8c_ard_3-0-0_098070_2015-06-20_final
2015-06-21 10:46:19	ga_ls8c_ard_3-0-0_105069_2015-06-21_final
2015-06-21 10:46:43	ga_ls8c_ard_3-0-0_105070_2015-06-21_final
2015-06-22 11:29:35	ga_ls8c_ard_3-0-0_112069_2015-06-22_final
2015-06-22 11:29:59	ga_ls8c_ard_3-0-0_112070_2015-06-22_final
2019-07-11 10:40:46	ga_ls8c_ard_3-1-0_104069_2019-07-11_final
2019-07-12 09:45:33	ga_ls8c_ard_3-1-0_095070_2019-07-12_final
2019-07-26 09:57:58	ga_ls8c_ard_3-1-0_097070_2019-07-26_final
2019-07-27 10:41:15	ga_ls8c_ard_3-1-0_104070_2019-07-27_final
2019-07-28 09:45:38	ga_ls8c_ard_3-1-0_095070_2019-07-28_final
2019-07-28 11:24:31	ga_ls8c_ard_3-1-0_111070_2019-07-28_final
2019-07-29 10:28:30	ga_ls8c_ard_3-1-0_102069_2019-07-29_final
2019-07-29 10:28:54	ga_ls8c_ard_3-1-0_102070_2019-07-29_final
2019-09-12 09:57:49	ga_ls8c_ard_3-1-0_097069_2019-09-12_final
2019-09-12 09:58:13	ga_ls8c_ard_3-1-0_097070_2019-09-12_final
2019-09-13 10:41:29	ga_ls8c_ard_3-1-0_104070_2019-09-13_final
2019-09-14 09:45:52	ga_ls8c_ard_3-1-0_095070_2019-09-14_final
2019-09-14 11:24:45	ga_ls8c_ard_3-1-0_111070_2019-09-14_final
2019-09-15 10:29:08	ga_ls8c_ard_3-1-0_102070_2019-09-15_final
2023-02-01 11:00:09	ga_ls8c_ard_3-2-1_107070_2023-02-01_final
2023-02-02 10:04:32	ga_ls8c_ard_3-2-1_098070_2023-02-02_final
2023-02-04 09:52:10	ga_ls8c_ard_3-2-1_096070_2023-02-04_final
2023-03-05 10:59:48	ga_ls8c_ard_3-2-1_107070_2023-03-05_final
2023-03-06 10:04:10	ga_ls8c_ard_3-2-1_098070_2023-03-06_final
2023-03-07 10:47:24	ga_ls8c_ard_3-2-1_105070_2023-03-07_final
2023-03-08 09:51:46	ga_ls8c_ard_3-2-1_096070_2023-03-08_final
2023-03-09 10:35:01	ga_ls8c_ard_3-2-1_103070_2023-03-09_final
2023-03-10 11:18:17	ga_ls8c_ard_3-2-1_110070_2023-03-10_final
2023-03-11 10:22:40	ga_ls8c_ard_3-2-1_101070_2023-03-11_final
2023-03-12 11:05:56	ga_ls8c_ard_3-2-1_108070_2023-03-12_final
2023-03-13 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-03-13_final
2023-03-14 10:53:33	ga_ls8c_ard_3-2-1_106070_2023-03-14_final
2023-03-15 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-03-15_final
2023-03-16 10:41:11	ga_ls8c_ard_3-2-1_104070_2023-03-16_final
2023-03-17 11:24:26	ga_ls8c_ard_3-2-1_111070_2023-03-17_final
2023-03-18 10:28:48	ga_ls8c_ard_3-2-1_102070_2023-03-18_final
2023-03-19 11:12:03	ga_ls8c_ard_3-2-1_109070_2023-03-19_final
2023-03-21 10:59:39	ga_ls8c_ard_3-2-1_107070_2023-03-21_final
2023-03-22 10:04:01	ga_ls8c_ard_3-2-1_098070_2023-03-22_final
2023-03-23 10:47:15	ga_ls8c_ard_3-2-1_105070_2023-03-23_final
2023-03-24 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-03-24_final
2023-03-25 10:34:53	ga_ls8c_ard_3-2-1_103070_2023-03-25_final
2023-03-29 10:10:08	ga_ls8c_ard_3-2-1_099070_2023-03-29_final
2023-03-30 10:53:23	ga_ls8c_ard_3-2-1_106070_2023-03-30_final
2023-03-31 09:57:45	ga_ls8c_ard_3-2-1_097070_2023-03-31_final
2023-04-01 10:41:00	ga_ls8c_ard_3-2-1_104070_2023-04-01_final
2023-04-02 11:24:15	ga_ls8c_ard_3-2-1_111070_2023-04-02_final
2023-04-03 10:28:37	ga_ls8c_ard_3-2-1_102070_2023-04-03_final
2023-04-06 10:59:27	ga_ls8c_ard_3-2-1_107070_2023-04-06_final
2023-04-07 10:03:48	ga_ls8c_ard_3-2-1_098070_2023-04-07_final
2023-04-25 09:51:18	ga_ls8c_ard_3-2-1_096070_2023-04-25_final
2023-04-26 10:34:34	ga_ls8c_ard_3-2-1_103070_2023-04-26_final
2023-04-27 11:17:49	ga_ls8c_ard_3-2-1_110070_2023-04-27_final
2023-04-28 10:22:11	ga_ls8c_ard_3-2-1_101070_2023-04-28_final
2023-07-27 10:59:34	ga_ls8c_ard_3-2-1_107070_2023-07-27_final
2023-07-28 10:03:33	ga_ls8c_ard_3-2-1_098069_2023-07-28_final
2023-07-28 10:03:57	ga_ls8c_ard_3-2-1_098070_2023-07-28_final
2023-07-29 10:46:49	ga_ls8c_ard_3-2-1_105069_2023-07-29_final
2023-07-29 10:47:13	ga_ls8c_ard_3-2-1_105070_2023-07-29_final
2023-08-07 10:41:05	ga_ls8c_ard_3-2-1_104070_2023-08-07_final
2023-08-08 11:23:57	ga_ls8c_ard_3-2-1_111069_2023-08-08_final
2023-08-08 11:24:21	ga_ls8c_ard_3-2-1_111070_2023-08-08_final
2023-08-09 10:28:43	ga_ls8c_ard_3-2-1_102070_2023-08-09_final
2023-08-10 11:11:59	ga_ls8c_ard_3-2-1_109070_2023-08-10_final
2023-08-14 10:47:18	ga_ls8c_ard_3-2-1_105070_2023-08-14_final
2023-08-15 09:51:42	ga_ls8c_ard_3-2-1_096070_2023-08-15_final
2023-08-16 10:34:58	ga_ls8c_ard_3-2-1_103070_2023-08-16_final
2023-08-17 11:18:15	ga_ls8c_ard_3-2-1_110070_2023-08-17_final
2023-08-18 10:22:38	ga_ls8c_ard_3-2-1_101070_2023-08-18_final
2023-08-19 11:05:55	ga_ls8c_ard_3-2-1_108070_2023-08-19_final
2023-08-20 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-08-20_final
2023-08-20 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-08-20_final
2023-08-21 10:53:34	ga_ls8c_ard_3-2-1_106070_2023-08-21_final
2023-08-22 09:57:33	ga_ls8c_ard_3-2-1_097069_2023-08-22_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