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
2013-09-05 10:40:40	ga_ls8c_ard_3-1-0_103079_2013-09-05_final
2014-03-23 10:44:23	ga_ls8c_ard_3-1-0_104077_2014-03-23_final
2014-04-24 10:43:53	ga_ls8c_ard_3-1-0_104077_2014-04-24_final
2014-10-17 10:44:15	ga_ls8c_ard_3-1-0_104077_2014-10-17_final
2014-11-25 10:51:11	ga_ls8c_ard_3-1-0_105079_2014-11-25_final
2015-09-02 10:43:50	ga_ls8c_ard_3-1-0_104077_2015-09-02_final
2016-01-17 10:38:43	ga_ls8c_ard_3-1-0_103079_2016-01-17_final
2016-11-08 11:28:01	ga_ls8c_ard_3-1-0_111078_2016-11-08_final
2017-05-27 10:38:12	ga_ls8c_ard_3-1-0_103079_2017-05-27_final
2018-07-14 10:08:06	ga_ls8c_ard_3-1-0_098082_2018-07-14_final
2019-03-11 10:08:33	ga_ls8c_ard_3-1-0_098082_2019-03-11_final
2019-03-13 09:53:47	ga_ls8c_ard_3-1-0_096076_2019-03-13_final
2019-03-13 11:32:40	ga_ls8c_ard_3-1-0_112076_2019-03-13_final
2019-03-14 10:36:38	ga_ls8c_ard_3-1-0_103075_2019-03-14_final
2019-03-17 11:08:44	ga_ls8c_ard_3-1-0_108078_2019-03-17_final
2019-03-20 09:59:33	ga_ls8c_ard_3-1-0_097075_2019-03-20_final
2019-03-21 10:42:48	ga_ls8c_ard_3-1-0_104075_2019-03-21_final
2019-03-21 10:44:00	ga_ls8c_ard_3-1-0_104078_2019-03-21_final
2019-03-23 10:30:50	ga_ls8c_ard_3-1-0_102076_2019-03-23_final
2019-03-23 10:31:38	ga_ls8c_ard_3-1-0_102078_2019-03-23_final
2019-03-29 11:32:37	ga_ls8c_ard_3-1-0_112076_2019-03-29_final
2019-03-30 10:38:11	ga_ls8c_ard_3-1-0_103079_2019-03-30_final
2019-04-01 10:25:49	ga_ls8c_ard_3-1-0_101079_2019-04-01_final
2019-06-15 10:08:45	ga_ls8c_ard_3-1-0_098082_2019-06-15_final
2019-06-17 09:54:01	ga_ls8c_ard_3-1-0_096076_2019-06-17_final
2019-06-18 10:38:29	ga_ls8c_ard_3-1-0_103079_2019-06-18_final
2019-07-02 10:52:30	ga_ls8c_ard_3-1-0_105083_2019-07-02_final
2019-07-03 09:54:05	ga_ls8c_ard_3-1-0_096076_2019-07-03_final
2019-07-03 09:54:29	ga_ls8c_ard_3-1-0_096077_2019-07-03_final
2019-07-03 11:34:10	ga_ls8c_ard_3-1-0_112079_2019-07-03_final
2019-07-04 10:38:33	ga_ls8c_ard_3-1-0_103079_2019-07-04_final
2019-07-07 11:09:04	ga_ls8c_ard_3-1-0_108078_2019-07-07_final
2019-07-13 10:32:48	ga_ls8c_ard_3-1-0_102080_2019-07-13_final
2019-07-19 09:54:32	ga_ls8c_ard_3-1-0_096077_2019-07-19_final
2019-07-19 11:33:01	ga_ls8c_ard_3-1-0_112076_2019-07-19_final
2019-07-19 11:33:25	ga_ls8c_ard_3-1-0_112077_2019-07-19_final
2019-07-20 10:38:36	ga_ls8c_ard_3-1-0_103079_2019-07-20_final
2019-07-26 09:59:58	ga_ls8c_ard_3-1-0_097075_2019-07-26_final
2019-07-31 11:58:14	ga_ls8c_ard_3-1-0_116077_2019-07-31_final
2019-08-04 11:33:08	ga_ls8c_ard_3-1-0_112076_2019-08-04_final
2019-08-13 11:28:12	ga_ls8c_ard_3-1-0_111079_2019-08-13_final
2019-08-19 10:50:45	ga_ls8c_ard_3-1-0_105078_2019-08-19_final
2019-08-20 11:33:13	ga_ls8c_ard_3-1-0_112076_2019-08-20_final
2019-08-29 11:27:28	ga_ls8c_ard_3-1-0_111077_2019-08-29_final
2019-08-30 10:32:15	ga_ls8c_ard_3-1-0_102078_2019-08-30_final
2019-09-05 11:33:16	ga_ls8c_ard_3-1-0_112076_2019-09-05_final
2019-09-11 09:19:20	ga_ls8c_ard_3-1-0_090081_2019-09-10_final
2019-09-12 10:01:01	ga_ls8c_ard_3-1-0_097077_2019-09-12_final
2019-09-14 11:28:21	ga_ls8c_ard_3-1-0_111079_2019-09-14_final
2019-09-15 10:31:32	ga_ls8c_ard_3-1-0_102076_2019-09-15_final
2019-09-19 10:06:50	ga_ls8c_ard_3-1-0_098076_2019-09-19_final
2019-09-21 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-09-21_final
2019-09-28 10:03:06	ga_ls8c_ard_3-1-0_097082_2019-09-28_final
2019-10-05 10:06:54	ga_ls8c_ard_3-1-0_098076_2019-10-05_final
2019-10-16 11:28:04	ga_ls8c_ard_3-1-0_111078_2019-10-16_final
2019-10-19 11:58:35	ga_ls8c_ard_3-1-0_116077_2019-10-19_final
2019-10-21 10:06:56	ga_ls8c_ard_3-1-0_098076_2019-10-21_final
2019-10-22 10:51:00	ga_ls8c_ard_3-1-0_105078_2019-10-22_final
2019-10-23 09:54:58	ga_ls8c_ard_3-1-0_096077_2019-10-23_final
2019-10-31 10:45:13	ga_ls8c_ard_3-1-0_104079_2019-10-31_final
2019-11-04 11:58:34	ga_ls8c_ard_3-1-0_116077_2019-11-04_final
2019-11-07 10:50:58	ga_ls8c_ard_3-1-0_105078_2019-11-07_final
2019-11-23 10:52:55	ga_ls8c_ard_3-1-0_105083_2019-11-23_final
2019-11-24 11:33:47	ga_ls8c_ard_3-1-0_112077_2019-11-24_final
2019-11-27 10:26:36	ga_ls8c_ard_3-1-0_101079_2019-11-27_final
2019-11-29 11:53:31	ga_ls8c_ard_3-1-0_115080_2019-11-29_final
2019-12-02 10:45:08	ga_ls8c_ard_3-1-0_104079_2019-12-02_final
2019-12-06 11:58:30	ga_ls8c_ard_3-1-0_116077_2019-12-06_final
2019-12-10 11:33:46	ga_ls8c_ard_3-1-0_112077_2019-12-10_final
2019-12-25 10:50:51	ga_ls8c_ard_3-1-0_105078_2019-12-25_final
2019-12-27 10:37:17	ga_ls8c_ard_3-1-0_103075_2019-12-27_final
2019-12-30 11:08:58	ga_ls8c_ard_3-1-0_108077_2019-12-30_final
2019-12-30 11:09:22	ga_ls8c_ard_3-1-0_108078_2019-12-30_final
2020-01-26 10:50:43	ga_ls8c_ard_3-1-0_105078_2020-01-26_final
2020-01-26 10:52:43	ga_ls8c_ard_3-1-0_105083_2020-01-26_final
2020-02-04 10:44:53	ga_ls8c_ard_3-1-0_104079_2020-02-04_final
2020-02-12 09:54:13	ga_ls8c_ard_3-1-0_096076_2020-02-12_final
2020-02-19 09:59:59	ga_ls8c_ard_3-1-0_097075_2020-02-19_final
2020-02-21 09:49:12	ga_ls8c_ard_3-1-0_095079_2020-02-21_final
2020-03-08 11:28:00	ga_ls8c_ard_3-1-0_111079_2020-03-08_final
2020-03-14 10:50:28	ga_ls8c_ard_3-1-0_105078_2020-03-14_final
2020-03-18 10:26:07	ga_ls8c_ard_3-1-0_101079_2020-03-18_final
2020-03-22 09:59:45	ga_ls8c_ard_3-1-0_097075_2020-03-22_final
2020-03-24 11:27:51	ga_ls8c_ard_3-1-0_111079_2020-03-24_final
2020-04-09 09:48:02	ga_ls8c_ard_3-1-0_095077_2020-04-09_final
2020-04-09 11:27:43	ga_ls8c_ard_3-1-0_111079_2020-04-09_final
2020-04-10 10:31:42	ga_ls8c_ard_3-1-0_102078_2020-04-10_final
2020-04-16 09:54:10	ga_ls8c_ard_3-1-0_096077_2020-04-16_final
2020-05-02 11:32:31	ga_ls8c_ard_3-1-0_112076_2020-05-02_final
2020-05-02 11:33:19	ga_ls8c_ard_3-1-0_112078_2020-05-02_final
2022-04-04 10:05:53	ga_ls8c_ard_3-2-1_098075_2022-04-04_final
2022-04-10 11:08:57	ga_ls8c_ard_3-2-1_108078_2022-04-10_final
2022-04-14 10:44:39	ga_ls8c_ard_3-2-1_104079_2022-04-14_final
2022-04-20 10:05:58	ga_ls8c_ard_3-2-1_098075_2022-04-20_final
2022-04-22 11:33:40	ga_ls8c_ard_3-2-1_112078_2022-04-22_final
2022-04-24 11:24:05	ga_ls8c_ard_3-2-1_110085_2022-04-24_final
2022-04-28 10:58:32	ga_ls8c_ard_3-2-1_106083_2022-04-28_final
2022-04-29 10:01:43	ga_ls8c_ard_3-2-1_097080_2022-04-29_final
2022-05-01 09:48:11	ga_ls8c_ard_3-2-1_095077_2022-05-01_final
2022-05-01 11:27:52	ga_ls8c_ard_3-2-1_111079_2022-05-01_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years