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
2014-04-13 11:04:35	ga_ls8c_ard_3-1-0_107082_2014-04-13_final
2014-07-02 11:04:20	ga_ls8c_ard_3-1-0_107082_2014-07-02_final
2015-07-16 10:43:34	ga_ls8c_ard_3-1-0_104077_2015-07-16_final
2015-08-01 10:43:38	ga_ls8c_ard_3-1-0_104077_2015-08-01_final
2015-08-10 10:38:18	ga_ls8c_ard_3-1-0_103079_2015-08-10_final
2015-11-28 10:51:09	ga_ls8c_ard_3-1-0_105079_2015-11-28_final
2016-08-19 10:44:07	ga_ls8c_ard_3-1-0_104077_2016-08-19_final
2016-10-23 11:28:02	ga_ls8c_ard_3-1-0_111078_2016-10-23_final
2017-05-18 10:43:29	ga_ls8c_ard_3-1-0_104077_2017-05-18_final
2017-08-06 10:44:01	ga_ls8c_ard_3-1-0_104077_2017-08-06_final
2018-02-08 09:44:27	ga_ls8c_ard_3-1-0_094083_2018-02-08_final
2019-03-13 09:53:47	ga_ls8c_ard_3-1-0_096076_2019-03-13_final
2019-03-14 10:36:38	ga_ls8c_ard_3-1-0_103075_2019-03-14_final
2019-03-20 11:38:50	ga_ls8c_ard_3-1-0_113076_2019-03-20_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
2019-03-23 10:32:26	ga_ls8c_ard_3-1-0_102080_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
2019-03-31 11:21:03	ga_ls8c_ard_3-1-0_110078_2019-03-31_final
2019-04-01 10:25:49	ga_ls8c_ard_3-1-0_101079_2019-04-01_final
2019-04-01 10:26:13	ga_ls8c_ard_3-1-0_101080_2019-04-01_final
2019-04-04 09:18:37	ga_ls8c_ard_3-1-0_090081_2019-04-03_final
2019-04-07 11:27:36	ga_ls8c_ard_3-1-0_111079_2019-04-07_final
2019-04-15 10:38:06	ga_ls8c_ard_3-1-0_103079_2019-04-15_final
2019-04-16 09:42:04	ga_ls8c_ard_3-1-0_094078_2019-04-16_final
2019-06-17 09:54:01	ga_ls8c_ard_3-1-0_096076_2019-06-17_final
2019-06-19 09:41:16	ga_ls8c_ard_3-1-0_094075_2019-06-19_final
2019-06-19 11:21:45	ga_ls8c_ard_3-1-0_110079_2019-06-19_final
2019-06-26 09:48:41	ga_ls8c_ard_3-1-0_095078_2019-06-26_final
2019-06-26 11:27:34	ga_ls8c_ard_3-1-0_111078_2019-06-26_final
2019-06-27 10:31:09	ga_ls8c_ard_3-1-0_102076_2019-06-27_final
2019-06-28 11:12:01	ga_ls8c_ard_3-1-0_109070_2019-06-28_final
2019-07-10 11:39:11	ga_ls8c_ard_3-1-0_113076_2019-07-10_final
2019-07-21 09:42:35	ga_ls8c_ard_3-1-0_094078_2019-07-21_final
2019-08-15 09:38:10	ga_ls8c_ard_3-1-0_093082_2019-08-15_final
2019-08-16 11:58:19	ga_ls8c_ard_3-1-0_116077_2019-08-16_final
2019-08-21 10:38:48	ga_ls8c_ard_3-1-0_103079_2019-08-21_final
2019-08-22 09:41:35	ga_ls8c_ard_3-1-0_094075_2019-08-22_final
2019-08-22 11:22:04	ga_ls8c_ard_3-1-0_110079_2019-08-22_final
2019-08-27 11:39:26	ga_ls8c_ard_3-1-0_113076_2019-08-27_final
2019-08-30 10:32:15	ga_ls8c_ard_3-1-0_102078_2019-08-30_final
2019-09-03 10:09:08	ga_ls8c_ard_3-1-0_098082_2019-09-03_final
2019-09-05 11:33:16	ga_ls8c_ard_3-1-0_112076_2019-09-05_final
2019-09-05 11:34:04	ga_ls8c_ard_3-1-0_112078_2019-09-05_final
2019-09-14 11:28:21	ga_ls8c_ard_3-1-0_111079_2019-09-14_final
2019-10-06 10:50:58	ga_ls8c_ard_3-1-0_105078_2019-10-06_final
2019-10-07 09:54:57	ga_ls8c_ard_3-1-0_096077_2019-10-07_final
2019-10-08 10:37:25	ga_ls8c_ard_3-1-0_103075_2019-10-08_final
2019-10-31 10:45:13	ga_ls8c_ard_3-1-0_104079_2019-10-31_final
2019-11-16 10:45:10	ga_ls8c_ard_3-1-0_104079_2019-11-16_final
2019-11-17 09:49:08	ga_ls8c_ard_3-1-0_095078_2019-11-17_final
2019-12-02 10:45:56	ga_ls8c_ard_3-1-0_104081_2019-12-02_final
2019-12-10 09:54:29	ga_ls8c_ard_3-1-0_096076_2019-12-10_final
2019-12-26 09:54:26	ga_ls8c_ard_3-1-0_096076_2019-12-26_final
2019-12-27 10:37:17	ga_ls8c_ard_3-1-0_103075_2019-12-27_final
2020-01-02 10:00:10	ga_ls8c_ard_3-1-0_097075_2020-01-02_final
2020-01-12 10:37:14	ga_ls8c_ard_3-1-0_103075_2020-01-12_final
2020-01-20 09:48:57	ga_ls8c_ard_3-1-0_095078_2020-01-20_final
2020-02-13 10:37:05	ga_ls8c_ard_3-1-0_103075_2020-02-13_final
2020-02-21 09:49:12	ga_ls8c_ard_3-1-0_095079_2020-02-21_final
2020-02-27 10:50:35	ga_ls8c_ard_3-1-0_105078_2020-02-27_final
2020-03-07 10:44:44	ga_ls8c_ard_3-1-0_104079_2020-03-07_final
2020-03-24 11:27:51	ga_ls8c_ard_3-1-0_111079_2020-03-24_final
2020-04-09 11:27:43	ga_ls8c_ard_3-1-0_111079_2020-04-09_final
2020-04-16 09:54:10	ga_ls8c_ard_3-1-0_096077_2020-04-16_final
2020-04-17 10:36:38	ga_ls8c_ard_3-1-0_103075_2020-04-17_final
2020-04-24 10:44:21	ga_ls8c_ard_3-1-0_104079_2020-04-24_final
2020-05-03 10:36:29	ga_ls8c_ard_3-1-0_103075_2020-05-03_final
2020-05-04 11:21:20	ga_ls8c_ard_3-1-0_110079_2020-05-04_final
2021-04-05 09:42:22	ga_ls8c_ard_3-2-0_094078_2021-04-05_final
2021-04-05 11:21:15	ga_ls8c_ard_3-2-0_110078_2021-04-05_final
2021-04-13 10:30:58	ga_ls8c_ard_3-2-0_102076_2021-04-13_final
2021-04-21 09:42:16	ga_ls8c_ard_3-2-0_094078_2021-04-21_final
2021-05-07 09:42:06	ga_ls8c_ard_3-2-0_094078_2021-05-07_final
2021-05-21 11:33:31	ga_ls8c_ard_3-2-0_112078_2021-05-21_final
2021-05-28 11:39:21	ga_ls8c_ard_3-2-0_113077_2021-05-28_final
2021-06-06 09:53:58	ga_ls8c_ard_3-2-0_096076_2021-06-06_final
2021-06-06 09:54:21	ga_ls8c_ard_3-2-0_096077_2021-06-06_final
2021-06-13 11:39:04	ga_ls8c_ard_3-2-0_113076_2021-06-13_final
2021-06-22 11:32:56	ga_ls8c_ard_3-2-0_112076_2021-06-22_final
2021-06-29 10:00:15	ga_ls8c_ard_3-2-0_097076_2021-06-29_final
2021-07-05 11:04:27	ga_ls8c_ard_3-2-0_107082_2021-07-05_final
2021-07-15 09:59:52	ga_ls8c_ard_3-2-0_097075_2021-07-15_final
2021-07-24 09:54:34	ga_ls8c_ard_3-2-0_096077_2021-07-24_final
2021-07-26 11:21:54	ga_ls8c_ard_3-2-0_110079_2021-07-26_final
2021-07-31 10:00:01	ga_ls8c_ard_3-2-0_097075_2021-07-31_final
2021-07-31 10:02:48	ga_ls8c_ard_3-2-0_097082_2021-07-31_final
2021-07-31 11:39:18	ga_ls8c_ard_3-2-0_113076_2021-07-31_final
2021-08-11 11:22:01	ga_ls8c_ard_3-2-0_110079_2021-08-11_final
2021-08-15 10:58:55	ga_ls8c_ard_3-2-0_106083_2021-08-15_final
2021-08-25 09:54:46	ga_ls8c_ard_3-2-0_096077_2021-08-25_final
2021-08-25 09:55:10	ga_ls8c_ard_3-2-0_096078_2021-08-25_final
2022-04-13 09:59:48	ga_ls8c_ard_3-2-1_097075_2022-04-13_final
2022-04-26 11:08:55	ga_ls8c_ard_3-2-1_108078_2022-04-26_final
2022-04-29 10:01:43	ga_ls8c_ard_3-2-1_097080_2022-04-29_final
2022-05-01 11:27:52	ga_ls8c_ard_3-2-1_111079_2022-05-01_final
2022-06-15 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-06-15_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