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
2013-04-27 10:09:53	ga_ls8c_ard_3-0-0_098080_2013-04-27_final
2013-04-28 09:14:16	ga_ls8c_ard_3-0-0_089080_2013-04-27_final
2013-04-28 10:53:09	ga_ls8c_ard_3-0-0_105080_2013-04-28_final
2013-04-29 09:57:33	ga_ls8c_ard_3-0-0_096080_2013-04-29_final
2013-04-29 11:36:26	ga_ls8c_ard_3-0-0_112080_2013-04-29_final
2013-04-30 10:40:49	ga_ls8c_ard_3-0-0_103080_2013-04-30_final
2013-05-01 09:45:12	ga_ls8c_ard_3-0-0_094080_2013-05-01_final
2013-05-01 11:24:05	ga_ls8c_ard_3-0-0_110080_2013-05-01_final
2013-05-02 10:28:28	ga_ls8c_ard_3-0-0_101080_2013-05-02_final
2013-05-22 10:03:59	ga_ls8c_ard_3-0-0_097080_2013-05-22_final
2013-05-22 11:42:52	ga_ls8c_ard_3-0-0_113080_2013-05-22_final
2013-05-23 09:08:22	ga_ls8c_ard_3-0-0_088080_2013-05-22_final
2013-05-23 10:47:15	ga_ls8c_ard_3-0-0_104080_2013-05-23_final
2013-05-24 09:51:38	ga_ls8c_ard_3-0-0_095080_2013-05-24_final
2013-05-24 11:30:31	ga_ls8c_ard_3-0-0_111080_2013-05-24_final
2013-05-25 10:34:54	ga_ls8c_ard_3-1-0_102080_2013-05-25_final
2013-05-26 09:39:17	ga_ls8c_ard_3-0-0_093080_2013-05-26_final
2013-05-26 11:18:10	ga_ls8c_ard_3-0-0_109080_2013-05-26_final
2013-07-01 10:52:58	ga_ls8c_ard_3-0-0_105079_2013-07-01_final
2013-07-01 10:53:22	ga_ls8c_ard_3-0-0_105080_2013-07-01_final
2013-07-02 09:57:21	ga_ls8c_ard_3-0-0_096079_2013-07-02_final
2013-07-02 09:57:45	ga_ls8c_ard_3-0-0_096080_2013-07-02_final
2013-07-02 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-07-02_final
2013-07-02 11:36:38	ga_ls8c_ard_3-0-0_112080_2013-07-02_final
2013-07-03 10:40:37	ga_ls8c_ard_3-0-0_103079_2013-07-03_final
2013-07-03 10:41:01	ga_ls8c_ard_3-0-0_103080_2013-07-03_final
2013-07-04 09:45:00	ga_ls8c_ard_3-0-0_094079_2013-07-04_final
2013-07-04 09:45:24	ga_ls8c_ard_3-0-0_094080_2013-07-04_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-08-25 09:20:20	ga_ls8c_ard_3-0-0_090079_2013-08-24_final
2013-08-25 09:20:44	ga_ls8c_ard_3-0-0_090080_2013-08-24_final
2013-08-25 10:59:13	ga_ls8c_ard_3-0-0_106079_2013-08-25_final
2013-08-25 10:59:37	ga_ls8c_ard_3-0-0_106080_2013-08-25_final
2013-08-26 10:04:00	ga_ls8c_ard_3-0-0_097080_2013-08-26_final
2013-08-26 11:42:53	ga_ls8c_ard_3-0-0_113080_2013-08-26_final
2013-08-27 09:08:23	ga_ls8c_ard_3-0-0_088080_2013-08-26_final
2013-08-27 10:47:16	ga_ls8c_ard_3-0-0_104080_2013-08-27_final
2013-08-28 09:51:39	ga_ls8c_ard_3-0-0_095080_2013-08-28_final
2013-08-28 11:30:32	ga_ls8c_ard_3-0-0_111080_2013-08-28_final
2014-08-22 09:55:27	ga_ls8c_ard_3-0-0_096079_2014-08-22_final
2014-08-24 09:43:06	ga_ls8c_ard_3-0-0_094079_2014-08-24_final
2014-08-24 09:43:30	ga_ls8c_ard_3-0-0_094080_2014-08-24_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_final
2014-08-24 11:22:23	ga_ls8c_ard_3-0-0_110080_2014-08-24_final
2014-08-25 10:26:21	ga_ls8c_ard_3-0-0_101079_2014-08-25_final
2014-08-25 10:26:45	ga_ls8c_ard_3-0-0_101080_2014-08-25_final
2015-01-14 10:38:40	ga_ls8c_ard_3-0-0_103079_2015-01-14_final
2015-01-14 10:39:04	ga_ls8c_ard_3-0-0_103080_2015-01-14_final
2015-01-15 09:43:03	ga_ls8c_ard_3-0-0_094079_2015-01-15_final
2015-01-15 09:43:27	ga_ls8c_ard_3-0-0_094080_2015-01-15_final
2015-01-15 11:21:56	ga_ls8c_ard_3-0-0_110079_2015-01-15_final
2015-01-15 11:22:20	ga_ls8c_ard_3-0-0_110080_2015-01-15_final
2015-01-16 10:26:18	ga_ls8c_ard_3-0-0_101079_2015-01-16_final
2015-01-16 10:26:42	ga_ls8c_ard_3-0-0_101080_2015-01-16_final
2015-02-16 09:42:49	ga_ls8c_ard_3-0-0_094079_2015-02-16_final
2015-02-16 09:43:13	ga_ls8c_ard_3-0-0_094080_2015-02-16_final
2015-02-16 11:22:06	ga_ls8c_ard_3-0-0_110080_2015-02-16_final
2015-02-17 10:26:29	ga_ls8c_ard_3-0-0_101080_2015-02-17_final
2015-02-18 09:30:52	ga_ls8c_ard_3-0-0_092080_2015-02-18_final
2015-02-18 11:09:21	ga_ls8c_ard_3-0-0_108079_2015-02-18_final
2015-02-18 11:09:45	ga_ls8c_ard_3-0-0_108080_2015-02-18_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-19 10:14:08	ga_ls8c_ard_3-0-0_099080_2015-02-19_final
2015-02-19 11:53:01	ga_ls8c_ard_3-0-0_115080_2015-02-19_final
2015-02-20 09:18:30	ga_ls8c_ard_3-0-0_090080_2015-02-19_final
2015-02-20 10:57:23	ga_ls8c_ard_3-0-0_106080_2015-02-20_final
2015-03-19 10:38:37	ga_ls8c_ard_3-0-0_103080_2015-03-19_final
2015-03-20 09:42:59	ga_ls8c_ard_3-0-0_094080_2015-03-20_final
2015-03-20 11:21:52	ga_ls8c_ard_3-0-0_110080_2015-03-20_final
2015-03-21 10:25:51	ga_ls8c_ard_3-0-0_101079_2015-03-21_final
2015-03-21 10:26:14	ga_ls8c_ard_3-0-0_101080_2015-03-21_final
2015-04-04 10:38:25	ga_ls8c_ard_3-0-0_103080_2015-04-04_final
2015-04-05 09:42:23	ga_ls8c_ard_3-0-0_094079_2015-04-05_final
2015-04-05 09:42:47	ga_ls8c_ard_3-0-0_094080_2015-04-05_final
2015-04-05 11:21:40	ga_ls8c_ard_3-0-0_110080_2015-04-05_final
2015-04-06 10:26:03	ga_ls8c_ard_3-0-0_101080_2015-04-06_final
2017-07-07 10:32:15	ga_ls8c_ard_3-0-0_102079_2017-07-07_final
2017-07-07 10:32:39	ga_ls8c_ard_3-0-0_102080_2017-07-07_final
2017-07-08 09:36:38	ga_ls8c_ard_3-0-0_093079_2017-07-08_final
2017-07-08 09:37:02	ga_ls8c_ard_3-0-0_093080_2017-07-08_final
2017-07-08 11:15:31	ga_ls8c_ard_3-0-0_109079_2017-07-08_final
2017-07-08 11:15:55	ga_ls8c_ard_3-0-0_109080_2017-07-08_final
2017-07-09 10:19:54	ga_ls8c_ard_3-0-0_100079_2017-07-09_final
2017-07-09 10:20:18	ga_ls8c_ard_3-0-0_100080_2017-07-09_final
2017-07-14 10:38:27	ga_ls8c_ard_3-0-0_103079_2017-07-14_final
2017-07-14 10:38:51	ga_ls8c_ard_3-0-0_103080_2017-07-14_final
2017-07-15 09:42:50	ga_ls8c_ard_3-0-0_094079_2017-07-15_final
2017-07-15 09:43:14	ga_ls8c_ard_3-0-0_094080_2017-07-15_final
2017-07-15 11:21:43	ga_ls8c_ard_3-0-0_110079_2017-07-15_final
2017-07-15 11:22:07	ga_ls8c_ard_3-0-0_110080_2017-07-15_final
2017-07-16 10:26:06	ga_ls8c_ard_3-0-0_101079_2017-07-16_final
2017-07-16 10:26:30	ga_ls8c_ard_3-0-0_101080_2017-07-16_final
2023-02-03 10:51:47	ga_ls8c_ard_3-2-1_105080_2023-02-03_final
2023-02-04 09:56:09	ga_ls8c_ard_3-2-1_096080_2023-02-04_final
2023-02-04 11:35:02	ga_ls8c_ard_3-2-1_112080_2023-02-04_final
2023-03-22 11:46:53	ga_ls8c_ard_3-2-1_114080_2023-03-22_final
2023-03-23 09:12:22	ga_ls8c_ard_3-2-1_089080_2023-03-22_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-03-23 10:51:14	ga_ls8c_ard_3-2-1_105080_2023-03-23_final
2023-03-24 09:55:13	ga_ls8c_ard_3-2-1_096079_2023-03-24_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