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
2013-11-18 09:36:54	ga_ls8c_ard_3-1-0_093075_2013-11-18_final
2013-11-18 11:15:47	ga_ls8c_ard_3-0-0_109075_2013-11-18_final
2013-11-20 11:03:24	ga_ls8c_ard_3-0-0_107075_2013-11-20_final
2013-11-21 10:07:45	ga_ls8c_ard_3-0-0_098075_2013-11-21_final
2013-11-21 11:46:38	ga_ls8c_ard_3-0-0_114075_2013-11-21_final
2013-11-23 09:55:22	ga_ls8c_ard_3-0-0_096075_2013-11-23_final
2013-11-23 11:34:15	ga_ls8c_ard_3-0-0_112075_2013-11-23_final
2013-11-24 10:38:38	ga_ls8c_ard_3-0-0_103075_2013-11-24_final
2013-11-25 09:43:01	ga_ls8c_ard_3-0-0_094075_2013-11-25_final
2013-11-25 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-11-25_final
2013-11-26 10:26:17	ga_ls8c_ard_3-0-0_101075_2013-11-26_final
2014-05-23 10:11:49	ga_ls8c_ard_3-0-0_099075_2014-05-23_final
2014-05-23 11:50:42	ga_ls8c_ard_3-0-0_115075_2014-05-23_final
2014-05-24 09:16:12	ga_ls8c_ard_3-0-0_090075_2014-05-23_final
2014-05-24 10:55:05	ga_ls8c_ard_3-0-0_106075_2014-05-24_final
2014-05-24 10:55:29	ga_ls8c_ard_3-0-0_106076_2014-05-24_final
2014-05-25 09:59:28	ga_ls8c_ard_3-0-0_097075_2014-05-25_final
2014-05-25 11:38:21	ga_ls8c_ard_3-0-0_113075_2014-05-25_final
2014-05-26 10:42:45	ga_ls8c_ard_3-0-0_104075_2014-05-26_final
2014-06-10 09:59:39	ga_ls8c_ard_3-0-0_097075_2014-06-10_final
2014-06-10 11:38:32	ga_ls8c_ard_3-0-0_113075_2014-06-10_final
2014-06-10 11:38:56	ga_ls8c_ard_3-0-0_113076_2014-06-10_final
2014-06-11 10:42:55	ga_ls8c_ard_3-0-0_104075_2014-06-11_final
2014-06-12 09:47:18	ga_ls8c_ard_3-0-0_095075_2014-06-12_final
2014-06-12 11:26:11	ga_ls8c_ard_3-0-0_111075_2014-06-12_final
2014-06-13 10:30:34	ga_ls8c_ard_3-0-0_102075_2014-06-13_final
2014-06-13 10:30:58	ga_ls8c_ard_3-0-0_102076_2014-06-13_final
2016-05-21 10:05:44	ga_ls8c_ard_3-0-0_098075_2016-05-21_final
2016-05-21 10:06:08	ga_ls8c_ard_3-0-0_098076_2016-05-21_final
2016-05-22 09:10:07	ga_ls8c_ard_3-0-0_089075_2016-05-21_final
2016-05-22 09:10:31	ga_ls8c_ard_3-0-0_089076_2016-05-21_final
2016-05-22 10:49:00	ga_ls8c_ard_3-0-0_105075_2016-05-22_final
2016-05-23 09:53:24	ga_ls8c_ard_3-0-0_096075_2016-05-23_final
2016-05-23 09:53:47	ga_ls8c_ard_3-0-0_096076_2016-05-23_final
2016-05-23 11:32:17	ga_ls8c_ard_3-0-0_112075_2016-05-23_final
2016-05-23 11:32:41	ga_ls8c_ard_3-0-0_112076_2016-05-23_final
2016-05-24 10:36:40	ga_ls8c_ard_3-0-0_103075_2016-05-24_final
2016-06-09 10:36:44	ga_ls8c_ard_3-0-0_103075_2016-06-09_final
2016-06-09 10:37:08	ga_ls8c_ard_3-0-0_103076_2016-06-09_final
2016-06-10 09:41:07	ga_ls8c_ard_3-0-0_094075_2016-06-10_final
2016-06-10 09:41:30	ga_ls8c_ard_3-0-0_094076_2016-06-10_final
2016-06-10 11:20:00	ga_ls8c_ard_3-0-0_110075_2016-06-10_final
2016-06-10 11:20:24	ga_ls8c_ard_3-0-0_110076_2016-06-10_final
2016-06-11 10:24:22	ga_ls8c_ard_3-0-0_101075_2016-06-11_final
2016-06-11 10:24:46	ga_ls8c_ard_3-0-0_101076_2016-06-11_final
2016-06-12 09:28:45	ga_ls8c_ard_3-0-0_092075_2016-06-11_final
2016-06-12 09:29:09	ga_ls8c_ard_3-0-0_092076_2016-06-11_final
2016-06-12 11:07:38	ga_ls8c_ard_3-0-0_108075_2016-06-12_final
2016-08-02 09:59:59	ga_ls8c_ard_3-0-0_097075_2016-08-02_final
2016-08-02 11:38:52	ga_ls8c_ard_3-0-0_113075_2016-08-02_final
2016-08-03 10:43:15	ga_ls8c_ard_3-0-0_104075_2016-08-03_final
2016-08-04 09:47:37	ga_ls8c_ard_3-0-0_095075_2016-08-04_final
2016-08-04 09:48:01	ga_ls8c_ard_3-0-0_095076_2016-08-04_final
2016-08-04 11:26:30	ga_ls8c_ard_3-0-0_111075_2016-08-04_final
2016-08-04 11:26:54	ga_ls8c_ard_3-0-0_111076_2016-08-04_final
2016-08-05 10:30:53	ga_ls8c_ard_3-0-0_102075_2016-08-05_final
2016-08-28 10:37:12	ga_ls8c_ard_3-0-0_103075_2016-08-28_final
2016-08-29 09:41:35	ga_ls8c_ard_3-0-0_094075_2016-08-29_final
2016-08-29 11:20:28	ga_ls8c_ard_3-0-0_110075_2016-08-29_final
2016-08-30 10:24:51	ga_ls8c_ard_3-0-0_101075_2016-08-30_final
2016-08-30 10:25:15	ga_ls8c_ard_3-0-0_101076_2016-08-30_final
2016-08-31 09:29:14	ga_ls8c_ard_3-0-0_092075_2016-08-30_final
2016-08-31 11:08:07	ga_ls8c_ard_3-0-0_108075_2016-08-31_final
2016-12-03 09:41:45	ga_ls8c_ard_3-0-0_094075_2016-12-03_final
2016-12-03 11:20:38	ga_ls8c_ard_3-0-0_110075_2016-12-03_final
2016-12-04 10:25:00	ga_ls8c_ard_3-0-0_101075_2016-12-04_final
2016-12-05 09:29:23	ga_ls8c_ard_3-0-0_092075_2016-12-04_final
2016-12-05 11:08:16	ga_ls8c_ard_3-0-0_108075_2016-12-05_final
2016-12-06 10:12:38	ga_ls8c_ard_3-0-0_099075_2016-12-06_final
2016-12-06 11:51:31	ga_ls8c_ard_3-0-0_115075_2016-12-06_final
2016-12-06 11:51:55	ga_ls8c_ard_3-0-0_115076_2016-12-06_final
2016-12-07 09:17:01	ga_ls8c_ard_3-0-0_090075_2016-12-06_final
2016-12-07 10:55:54	ga_ls8c_ard_3-0-0_106075_2016-12-07_final
2017-01-05 10:24:53	ga_ls8c_ard_3-0-0_101075_2017-01-05_final
2017-01-06 09:29:15	ga_ls8c_ard_3-0-0_092075_2017-01-05_final
2017-01-06 11:08:08	ga_ls8c_ard_3-0-0_108075_2017-01-06_final
2017-01-07 10:12:31	ga_ls8c_ard_3-0-0_099075_2017-01-07_final
2017-01-07 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-01-07_final
2017-01-08 09:16:53	ga_ls8c_ard_3-0-0_090075_2017-01-07_final
2017-01-08 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-01-08_final
2017-01-09 10:00:09	ga_ls8c_ard_3-0-0_097075_2017-01-09_final
2017-01-09 11:39:02	ga_ls8c_ard_3-0-0_113075_2017-01-09_final
2017-02-05 09:41:26	ga_ls8c_ard_3-0-0_094075_2017-02-05_final
2017-02-05 11:20:19	ga_ls8c_ard_3-0-0_110075_2017-02-05_final
2017-02-06 10:24:41	ga_ls8c_ard_3-0-0_101075_2017-02-06_final
2017-02-07 09:29:03	ga_ls8c_ard_3-0-0_092075_2017-02-06_final
2017-02-07 11:07:56	ga_ls8c_ard_3-0-0_108075_2017-02-07_final
2017-02-08 10:12:18	ga_ls8c_ard_3-0-0_099075_2017-02-08_final
2017-02-08 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-02-08_final
2017-02-09 09:16:40	ga_ls8c_ard_3-0-0_090075_2017-02-08_final
2017-02-09 09:17:04	ga_ls8c_ard_3-0-0_090076_2017-02-08_final
2017-02-09 10:55:33	ga_ls8c_ard_3-0-0_106075_2017-02-09_final
2017-03-12 10:12:05	ga_ls8c_ard_3-0-0_099075_2017-03-12_final
2017-03-12 11:50:58	ga_ls8c_ard_3-0-0_115075_2017-03-12_final
2017-03-13 09:16:27	ga_ls8c_ard_3-0-0_090075_2017-03-12_final
2017-03-13 10:55:20	ga_ls8c_ard_3-0-0_106075_2017-03-13_final
2017-03-14 09:59:42	ga_ls8c_ard_3-0-0_097075_2017-03-14_final
2017-03-14 11:38:35	ga_ls8c_ard_3-0-0_113075_2017-03-14_final
2017-03-15 10:42:57	ga_ls8c_ard_3-0-0_104075_2017-03-15_final
2017-03-16 09:47:19	ga_ls8c_ard_3-0-0_095075_2017-03-16_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