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
2014-06-30 11:11:29	ga_ls8c_ard_3-0-0_109069_2014-06-30_final
2014-06-30 11:11:53	ga_ls8c_ard_3-0-0_109070_2014-06-30_final
2014-07-02 10:59:33	ga_ls8c_ard_3-0-0_107070_2014-07-02_final
2014-07-03 10:03:32	ga_ls8c_ard_3-0-0_098069_2014-07-03_final
2014-07-03 10:03:56	ga_ls8c_ard_3-0-0_098070_2014-07-03_final
2014-07-04 10:47:13	ga_ls8c_ard_3-0-0_105070_2014-07-04_final
2014-07-05 09:51:36	ga_ls8c_ard_3-0-0_096070_2014-07-05_final
2014-07-05 11:30:05	ga_ls8c_ard_3-0-0_112069_2014-07-05_final
2014-07-05 11:30:29	ga_ls8c_ard_3-0-0_112070_2014-07-05_final
2014-07-16 11:11:36	ga_ls8c_ard_3-0-0_109069_2014-07-16_final
2014-07-16 11:12:00	ga_ls8c_ard_3-0-0_109070_2014-07-16_final
2014-07-18 10:59:38	ga_ls8c_ard_3-0-0_107070_2014-07-18_final
2014-07-19 10:03:37	ga_ls8c_ard_3-0-0_098069_2014-07-19_final
2014-07-19 10:04:01	ga_ls8c_ard_3-0-0_098070_2014-07-19_final
2014-07-20 10:46:53	ga_ls8c_ard_3-0-0_105069_2014-07-20_final
2014-07-20 10:47:17	ga_ls8c_ard_3-0-0_105070_2014-07-20_final
2014-07-21 09:51:40	ga_ls8c_ard_3-0-0_096070_2014-07-21_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-07-21 11:30:33	ga_ls8c_ard_3-0-0_112070_2014-07-21_final
2014-09-11 11:05:42	ga_ls8c_ard_3-0-0_108069_2014-09-11_final
2014-09-11 11:06:06	ga_ls8c_ard_3-0-0_108070_2014-09-11_final
2014-09-12 10:10:04	ga_ls8c_ard_3-0-0_099069_2014-09-12_final
2014-09-12 10:10:28	ga_ls8c_ard_3-0-0_099070_2014-09-12_final
2014-09-13 10:53:20	ga_ls8c_ard_3-0-0_106069_2014-09-13_final
2014-09-13 10:53:44	ga_ls8c_ard_3-0-0_106070_2014-09-13_final
2014-09-27 11:05:39	ga_ls8c_ard_3-0-0_108069_2014-09-27_final
2014-09-27 11:06:03	ga_ls8c_ard_3-0-0_108070_2014-09-27_final
2014-09-28 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-09-28_final
2014-09-28 10:10:27	ga_ls8c_ard_3-0-0_099070_2014-09-28_final
2014-09-29 10:53:43	ga_ls8c_ard_3-0-0_106070_2014-09-29_final
2014-10-07 10:03:56	ga_ls8c_ard_3-0-0_098069_2014-10-07_final
2014-10-07 10:04:20	ga_ls8c_ard_3-0-0_098070_2014-10-07_final
2014-10-08 10:47:12	ga_ls8c_ard_3-0-0_105069_2014-10-08_final
2014-10-08 10:47:36	ga_ls8c_ard_3-0-0_105070_2014-10-08_final
2014-10-09 09:51:59	ga_ls8c_ard_3-0-0_096070_2014-10-09_final
2014-10-09 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-10-09_final
2014-10-09 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-10-09_final
2014-10-10 10:35:15	ga_ls8c_ard_3-0-0_103070_2014-10-10_final
2014-10-11 11:18:07	ga_ls8c_ard_3-0-0_110069_2014-10-11_final
2014-10-11 11:18:31	ga_ls8c_ard_3-0-0_110070_2014-10-11_final
2014-10-12 10:22:54	ga_ls8c_ard_3-0-0_101070_2014-10-12_final
2014-12-07 11:11:52	ga_ls8c_ard_3-0-0_109069_2014-12-07_final
2014-12-07 11:12:16	ga_ls8c_ard_3-0-0_109070_2014-12-07_final
2014-12-09 10:59:53	ga_ls8c_ard_3-0-0_107070_2014-12-09_final
2014-12-10 10:03:51	ga_ls8c_ard_3-0-0_098069_2014-12-10_final
2014-12-10 10:04:15	ga_ls8c_ard_3-0-0_098070_2014-12-10_final
2014-12-11 10:47:06	ga_ls8c_ard_3-0-0_105069_2014-12-11_final
2014-12-11 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-12-11_final
2014-12-12 09:51:51	ga_ls8c_ard_3-0-0_096070_2014-12-12_final
2014-12-12 11:30:20	ga_ls8c_ard_3-0-0_112069_2014-12-12_final
2014-12-12 11:30:44	ga_ls8c_ard_3-0-0_112070_2014-12-12_final
2014-12-16 11:05:40	ga_ls8c_ard_3-0-0_108069_2014-12-16_final
2014-12-16 11:06:04	ga_ls8c_ard_3-0-0_108070_2014-12-16_final
2014-12-17 10:10:03	ga_ls8c_ard_3-0-0_099069_2014-12-17_final
2014-12-17 10:10:27	ga_ls8c_ard_3-0-0_099070_2014-12-17_final
2014-12-18 10:53:19	ga_ls8c_ard_3-0-0_106069_2014-12-18_final
2014-12-18 10:53:43	ga_ls8c_ard_3-0-0_106070_2014-12-18_final
2018-03-24 10:03:39	ga_ls8c_ard_3-0-0_098070_2018-03-24_final
2018-03-25 10:46:55	ga_ls8c_ard_3-0-0_105070_2018-03-25_final
2018-03-26 09:51:17	ga_ls8c_ard_3-0-0_096070_2018-03-26_final
2018-03-26 11:29:46	ga_ls8c_ard_3-0-0_112069_2018-03-26_final
2018-03-26 11:30:10	ga_ls8c_ard_3-0-0_112070_2018-03-26_final
2018-04-22 11:11:22	ga_ls8c_ard_3-0-0_109070_2018-04-22_final
2018-04-23 10:15:45	ga_ls8c_ard_3-0-0_100070_2018-04-23_final
2018-04-24 10:59:00	ga_ls8c_ard_3-0-0_107070_2018-04-24_final
2018-07-15 10:46:11	ga_ls8c_ard_3-0-0_105069_2018-07-15_final
2018-07-15 10:46:34	ga_ls8c_ard_3-0-0_105070_2018-07-15_final
2018-07-16 09:50:34	ga_ls8c_ard_3-0-0_096069_2018-07-16_final
2018-07-16 09:50:58	ga_ls8c_ard_3-0-0_096070_2018-07-16_final
2018-07-16 11:29:27	ga_ls8c_ard_3-0-0_112069_2018-07-16_final
2018-07-16 11:29:51	ga_ls8c_ard_3-0-0_112070_2018-07-16_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
2023-02-03 10:47:47	ga_ls8c_ard_3-2-1_105070_2023-02-03_final
2023-02-04 09:52:10	ga_ls8c_ard_3-2-1_096070_2023-02-04_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 10:46:51	ga_ls8c_ard_3-2-1_105069_2023-03-23_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
2023-04-11 11:17:52	ga_ls8c_ard_3-2-1_110070_2023-04-11_final
2023-04-12 10:21:51	ga_ls8c_ard_3-2-1_101069_2023-04-12_final
2023-04-12 10:22:15	ga_ls8c_ard_3-2-1_101070_2023-04-12_final
2023-04-13 11:05:30	ga_ls8c_ard_3-2-1_108070_2023-04-13_final
2023-04-14 10:09:53	ga_ls8c_ard_3-2-1_099070_2023-04-14_final
2023-04-17 10:40:46	ga_ls8c_ard_3-2-1_104070_2023-04-17_final
2023-04-18 11:24:01	ga_ls8c_ard_3-2-1_111070_2023-04-18_final
2023-04-19 10:28:23	ga_ls8c_ard_3-2-1_102070_2023-04-19_final
2023-04-20 11:11:38	ga_ls8c_ard_3-2-1_109070_2023-04-20_final
2023-04-24 10:46:56	ga_ls8c_ard_3-2-1_105070_2023-04-24_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
2023-05-08 10:59:09	ga_ls8c_ard_3-2-1_107070_2023-05-08_final
2023-05-09 10:03:30	ga_ls8c_ard_3-2-1_098070_2023-05-09_final
2023-05-10 10:46:45	ga_ls8c_ard_3-2-1_105070_2023-05-10_final
2023-05-11 09:51:06	ga_ls8c_ard_3-2-1_096070_2023-05-11_final
2023-05-16 10:09:36	ga_ls8c_ard_3-2-1_099070_2023-05-16_final
2023-05-17 10:52:51	ga_ls8c_ard_3-2-1_106070_2023-05-17_final
2023-05-18 09:56:49	ga_ls8c_ard_3-2-1_097069_2023-05-18_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