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
2014-10-07 10:05:08	ga_ls8c_ard_3-0-0_098072_2014-10-07_final
2014-10-07 10:05:32	ga_ls8c_ard_3-0-0_098073_2014-10-07_final
2014-10-08 10:48:24	ga_ls8c_ard_3-0-0_105072_2014-10-08_final
2014-10-08 10:48:48	ga_ls8c_ard_3-0-0_105073_2014-10-08_final
2014-10-09 09:52:47	ga_ls8c_ard_3-0-0_096072_2014-10-09_final
2014-10-09 09:53:11	ga_ls8c_ard_3-0-0_096073_2014-10-09_final
2014-10-09 11:32:04	ga_ls8c_ard_3-0-0_112073_2014-10-09_final
2014-10-10 10:36:03	ga_ls8c_ard_3-0-0_103072_2014-10-10_final
2014-10-10 10:36:27	ga_ls8c_ard_3-0-0_103073_2014-10-10_final
2014-10-11 09:40:26	ga_ls8c_ard_3-0-0_094072_2014-10-11_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2014-10-11 11:19:43	ga_ls8c_ard_3-0-0_110073_2014-10-11_final
2014-10-12 10:24:06	ga_ls8c_ard_3-0-0_101073_2014-10-12_final
2014-12-13 10:36:20	ga_ls8c_ard_3-0-0_103073_2014-12-13_final
2014-12-14 09:40:19	ga_ls8c_ard_3-0-0_094072_2014-12-14_final
2014-12-14 09:40:43	ga_ls8c_ard_3-0-0_094073_2014-12-14_final
2014-12-14 11:19:36	ga_ls8c_ard_3-0-0_110073_2014-12-14_final
2014-12-15 10:23:35	ga_ls8c_ard_3-0-0_101072_2014-12-15_final
2014-12-15 10:23:59	ga_ls8c_ard_3-0-0_101073_2014-12-15_final
2014-12-16 09:28:22	ga_ls8c_ard_3-0-0_092073_2014-12-15_final
2014-12-16 11:07:15	ga_ls8c_ard_3-0-0_108073_2014-12-16_final
2014-12-17 10:11:38	ga_ls8c_ard_3-0-0_099073_2014-12-17_final
2014-12-18 10:54:54	ga_ls8c_ard_3-0-0_106073_2014-12-18_final
2015-01-14 10:36:17	ga_ls8c_ard_3-0-0_103073_2015-01-14_final
2015-01-15 09:40:39	ga_ls8c_ard_3-0-0_094073_2015-01-15_final
2015-01-15 11:19:08	ga_ls8c_ard_3-0-0_110072_2015-01-15_final
2015-01-15 11:19:32	ga_ls8c_ard_3-0-0_110073_2015-01-15_final
2015-01-16 10:23:54	ga_ls8c_ard_3-0-0_101073_2015-01-16_final
2015-01-17 09:27:53	ga_ls8c_ard_3-0-0_092072_2015-01-16_final
2015-01-17 09:28:17	ga_ls8c_ard_3-0-0_092073_2015-01-16_final
2015-01-17 11:07:09	ga_ls8c_ard_3-0-0_108073_2015-01-17_final
2015-01-18 10:11:32	ga_ls8c_ard_3-0-0_099073_2015-01-18_final
2015-01-19 10:54:47	ga_ls8c_ard_3-0-0_106073_2015-01-19_final
2015-02-16 09:40:26	ga_ls8c_ard_3-0-0_094073_2015-02-16_final
2015-02-16 11:19:19	ga_ls8c_ard_3-0-0_110073_2015-02-16_final
2015-02-17 10:23:42	ga_ls8c_ard_3-0-0_101073_2015-02-17_final
2015-02-18 09:28:04	ga_ls8c_ard_3-0-0_092073_2015-02-17_final
2015-02-18 11:06:57	ga_ls8c_ard_3-0-0_108073_2015-02-18_final
2015-02-19 10:11:20	ga_ls8c_ard_3-0-0_099073_2015-02-19_final
2015-02-20 10:54:36	ga_ls8c_ard_3-0-0_106073_2015-02-20_final
2015-02-27 09:21:52	ga_ls8c_ard_3-0-0_091073_2015-02-26_final
2015-02-27 11:00:45	ga_ls8c_ard_3-0-0_107073_2015-02-27_final
2015-02-28 10:05:07	ga_ls8c_ard_3-0-0_098073_2015-02-28_final
2015-03-01 10:48:23	ga_ls8c_ard_3-0-0_105073_2015-03-01_final
2015-03-19 10:35:49	ga_ls8c_ard_3-0-0_103073_2015-03-19_final
2015-03-20 09:40:12	ga_ls8c_ard_3-0-0_094073_2015-03-20_final
2015-03-20 11:19:05	ga_ls8c_ard_3-0-0_110073_2015-03-20_final
2015-03-21 10:23:27	ga_ls8c_ard_3-0-0_101073_2015-03-21_final
2015-04-04 10:35:37	ga_ls8c_ard_3-0-0_103073_2015-04-04_final
2015-04-05 09:40:00	ga_ls8c_ard_3-0-0_094073_2015-04-05_final
2015-04-05 11:18:53	ga_ls8c_ard_3-0-0_110073_2015-04-05_final
2015-04-06 10:23:16	ga_ls8c_ard_3-0-0_101073_2015-04-06_final
2015-05-12 09:58:12	ga_ls8c_ard_3-0-0_097073_2015-05-12_final
2015-05-12 11:37:05	ga_ls8c_ard_3-0-0_113073_2015-05-12_final
2015-05-13 10:41:27	ga_ls8c_ard_3-0-0_104073_2015-05-13_final
2015-05-14 09:45:49	ga_ls8c_ard_3-0-0_095073_2015-05-14_final
2015-05-14 11:24:42	ga_ls8c_ard_3-0-0_111073_2015-05-14_final
2015-05-15 10:28:40	ga_ls8c_ard_3-0-0_102072_2015-05-15_final
2015-05-15 10:29:04	ga_ls8c_ard_3-0-0_102073_2015-05-15_final
2015-06-17 09:33:20	ga_ls8c_ard_3-0-0_093072_2015-06-17_final
2015-06-17 09:33:44	ga_ls8c_ard_3-0-0_093073_2015-06-17_final
2015-06-17 11:12:13	ga_ls8c_ard_3-0-0_109072_2015-06-17_final
2015-06-17 11:12:37	ga_ls8c_ard_3-0-0_109073_2015-06-17_final
2015-06-18 10:16:36	ga_ls8c_ard_3-0-0_100072_2015-06-18_final
2015-06-18 10:17:00	ga_ls8c_ard_3-0-0_100073_2015-06-18_final
2015-06-19 09:20:59	ga_ls8c_ard_3-0-0_091072_2015-06-18_final
2015-06-19 09:21:23	ga_ls8c_ard_3-0-0_091073_2015-06-18_final
2015-06-19 11:00:16	ga_ls8c_ard_3-0-0_107073_2015-06-19_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-01-07 10:30:18	ga_ls8c_ard_3-2-0_102073_2021-01-07_final
2021-01-31 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-01-31_final
2021-02-01 10:24:01	ga_ls8c_ard_3-2-0_101073_2021-02-01_final
2021-02-02 09:28:23	ga_ls8c_ard_3-2-0_092073_2021-02-01_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-02-03 10:11:39	ga_ls8c_ard_3-2-0_099073_2021-02-03_final
2021-10-16 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-15_final
2021-10-16 09:28:41	ga_ls8c_ard_3-2-0_092073_2021-10-15_final
2021-10-16 11:07:34	ga_ls8c_ard_3-2-0_108073_2021-10-16_final
2021-10-17 10:11:33	ga_ls8c_ard_3-2-0_099072_2021-10-17_final
2021-10-17 10:11:57	ga_ls8c_ard_3-2-0_099073_2021-10-17_final
2022-10-05 10:55:24	ga_ls8c_ard_3-2-1_106073_2022-10-05_final
2022-10-06 09:59:46	ga_ls8c_ard_3-2-1_097073_2022-10-06_final
2022-10-14 10:49:06	ga_ls8c_ard_3-2-1_105073_2022-10-14_final
2022-10-15 09:53:29	ga_ls8c_ard_3-2-1_096073_2022-10-15_final
2022-10-15 11:32:23	ga_ls8c_ard_3-2-1_112073_2022-10-15_final
2022-10-16 10:36:22	ga_ls8c_ard_3-2-1_103072_2022-10-16_final
2022-10-16 10:36:46	ga_ls8c_ard_3-2-1_103073_2022-10-16_final
2022-10-17 09:41:09	ga_ls8c_ard_3-2-1_094073_2022-10-17_final
2022-10-17 11:20:02	ga_ls8c_ard_3-2-1_110073_2022-10-17_final
2022-10-18 10:24:26	ga_ls8c_ard_3-2-1_101073_2022-10-18_final
2022-10-26 11:13:57	ga_ls8c_ard_3-2-1_109073_2022-10-26_final
2022-10-27 10:18:20	ga_ls8c_ard_3-2-1_100073_2022-10-27_final
2022-10-28 09:22:43	ga_ls8c_ard_3-2-1_091073_2022-10-27_final
2022-10-28 11:01:36	ga_ls8c_ard_3-2-1_107073_2022-10-28_final
2022-10-29 10:05:35	ga_ls8c_ard_3-2-1_098072_2022-10-29_final
2022-10-29 10:05:59	ga_ls8c_ard_3-2-1_098073_2022-10-29_final
2022-12-02 11:32:26	ga_ls8c_ard_3-2-1_112073_2022-12-02_final
2022-12-03 10:36:48	ga_ls8c_ard_3-2-1_103073_2022-12-03_final
2022-12-04 09:41:11	ga_ls8c_ard_3-2-1_094073_2022-12-04_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