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
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-10-27 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-10-27_final
2014-05-17 10:48:56	ga_ls8c_ard_3-0-0_105075_2014-05-17_final
2014-06-03 11:29:06	ga_ls8c_ard_3-0-0_112067_2014-06-03_final
2014-06-20 10:39:33	ga_ls8c_ard_3-0-0_103082_2014-06-20_final
2014-08-21 10:49:05	ga_ls8c_ard_3-0-0_105074_2014-08-21_final
2014-10-02 11:24:15	ga_ls8c_ard_3-0-0_111069_2014-10-02_final
2015-02-02 11:07:53	ga_ls8c_ard_3-0-0_108075_2015-02-02_final
2015-04-05 09:39:36	ga_ls8c_ard_3-0-0_094072_2015-04-05_final
2015-04-25 10:52:31	ga_ls8c_ard_3-0-0_106069_2015-04-25_final
2015-08-14 10:09:38	ga_ls8c_ard_3-0-0_099069_2015-08-14_final
2015-08-19 10:27:49	ga_ls8c_ard_3-0-0_102068_2015-08-19_final
2015-09-28 09:46:13	ga_ls8c_ard_3-0-0_094087_2015-09-28_final
2015-10-13 10:35:51	ga_ls8c_ard_3-0-0_103072_2015-10-13_final
2015-10-17 10:09:33	ga_ls8c_ard_3-0-0_099068_2015-10-17_final
2015-11-22 09:52:32	ga_ls8c_ard_3-0-0_095087_2015-11-22_final
2015-12-15 11:31:36	ga_ls8c_ard_3-0-0_112072_2015-12-15_final
2016-01-05 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-05_final
2016-01-22 10:53:40	ga_ls8c_ard_3-0-0_106070_2016-01-22_final
2016-02-12 11:14:06	ga_ls8c_ard_3-0-0_109075_2016-02-12_final
2016-03-16 10:19:55	ga_ls8c_ard_3-0-0_100079_2016-03-16_final
2016-06-09 10:33:56	ga_ls8c_ard_3-0-0_103068_2016-06-09_final
2016-06-17 11:24:11	ga_ls8c_ard_3-0-0_111070_2016-06-17_final
2016-06-18 10:27:47	ga_ls8c_ard_3-0-0_102068_2016-06-18_final
2016-06-27 10:25:17	ga_ls8c_ard_3-0-0_101077_2016-06-27_final
2016-07-08 10:09:14	ga_ls8c_ard_3-0-0_098083_2016-07-08_final
2016-08-20 11:26:11	ga_ls8c_ard_3-0-0_111074_2016-08-20_final
2016-11-08 09:47:32	ga_ls8c_ard_3-0-0_095074_2016-11-08_final
2017-02-18 10:47:44	ga_ls8c_ard_3-0-0_105071_2017-02-18_final
2017-03-21 10:04:36	ga_ls8c_ard_3-0-0_098072_2017-03-21_final
2017-04-18 10:30:17	ga_ls8c_ard_3-0-0_102075_2017-04-18_final
2017-04-29 10:09:14	ga_ls8c_ard_3-0-0_099069_2017-04-29_final
2017-09-27 10:17:07	ga_ls8c_ard_3-0-0_100071_2017-09-27_final
2017-10-19 09:45:19	ga_ls8c_ard_3-0-0_094084_2017-10-19_final
2017-11-07 10:10:13	ga_ls8c_ard_3-0-0_099069_2017-11-07_final
2017-11-28 10:28:37	ga_ls8c_ard_3-1-0_102069_2017-11-28_final
2017-12-01 11:00:19	ga_ls8c_ard_3-0-0_107071_2017-12-01_final
2017-12-25 10:11:19	ga_ls8c_ard_3-0-0_099072_2017-12-25_final
2018-01-07 09:39:56	ga_ls8c_ard_3-0-0_094071_2018-01-07_final
2018-01-16 11:14:10	ga_ls8c_ard_3-0-0_109075_2018-01-16_final
2018-02-03 10:59:38	ga_ls8c_ard_3-0-0_107070_2018-02-03_final
2018-03-20 10:28:00	ga_ls8c_ard_3-0-0_102069_2018-03-20_final
2018-04-20 11:23:45	ga_ls8c_ard_3-0-0_111070_2018-04-20_final
2018-06-07 11:24:29	ga_ls8c_ard_3-0-0_111073_2018-06-07_final
2018-08-29 11:57:43	ga_ls8c_ard_3-0-0_116077_2018-08-29_final
2018-09-30 11:58:19	ga_ls8c_ard_3-0-0_116078_2018-09-30_final
2018-10-17 12:37:18	ga_ls8c_ard_3-2-1_123067_2018-10-17_final
2018-11-29 10:45:56	ga_ls8c_ard_3-0-0_104082_2018-11-29_final
2019-01-13 10:13:46	ga_ls8c_ard_3-0-0_099079_2019-01-13_final
2019-01-21 11:05:10	ga_ls8c_ard_3-0-0_107084_2019-01-21_final
2019-02-11 11:22:51	ga_ls8c_ard_3-0-0_110082_2019-02-11_final
2019-04-27 11:04:45	ga_ls8c_ard_3-0-0_107084_2019-04-27_final
2019-08-06 11:20:47	ga_ls8c_ard_3-1-0_110076_2019-08-06_final
2019-09-26 10:15:27	ga_ls8c_ard_3-1-0_099082_2019-09-26_final
2020-02-24 10:22:05	ga_ls8c_ard_3-1-0_100084_2020-02-24_final
2020-03-26 11:14:17	ga_ls8c_ard_3-1-0_109076_2020-03-26_final
2020-05-27 09:46:15	ga_ls8c_ard_3-1-0_095073_2020-05-27_final
2020-07-07 11:23:43	ga_ls8c_ard_3-1-0_110084_2020-07-07_final
2020-08-10 11:05:55	ga_ls8c_ard_3-1-0_108070_2020-08-10_final
2020-09-12 10:10:57	ga_ls8c_ard_3-1-0_099071_2020-09-12_final
2020-11-10 11:36:32	ga_ls8c_ard_3-1-0_112084_2020-11-10_final
2021-01-04 11:38:42	ga_ls8c_ard_3-2-0_113074_2021-01-04_final
2021-05-07 11:18:12	ga_ls8c_ard_3-2-0_110071_2021-05-07_final
2021-06-23 10:34:07	ga_ls8c_ard_3-2-0_103068_2021-06-23_final
2021-06-26 09:30:56	ga_ls8c_ard_3-2-0_092080_2021-06-26_final
2021-09-07 09:22:44	ga_ls8c_ard_3-2-0_091074_2021-09-06_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-24 10:04:03	ga_ls8c_ard_3-2-0_098069_2021-09-24_final
2021-10-11 09:16:31	ga_ls8c_ard_3-2-0_089089_2021-10-10_final
2021-11-01 09:33:29	ga_ls8c_ard_3-2-0_092085_2021-11-01_final
2022-01-05 10:11:22	ga_ls8c_ard_3-2-1_099072_2022-01-05_final
2022-01-12 10:17:32	ga_ls8c_ard_3-2-1_100072_2022-01-12_final
2022-02-19 11:19:33	ga_ls8c_ard_3-2-1_110073_2022-02-19_final
2022-03-24 10:25:18	ga_ls8c_ard_3-2-1_101077_2022-03-24_final
2022-04-05 09:11:05	ga_ls8c_ard_3-2-1_089077_2022-04-04_final
2022-04-07 10:35:38	ga_ls8c_ard_3-2-1_103072_2022-04-07_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-08-04 10:46:28	ga_ls8c_ard_3-2-1_104082_2022-08-04_final
2022-10-05 10:53:48	ga_ls8c_ard_3-2-1_106069_2022-10-05_final
2022-11-06 09:21:20	ga_ls8c_ard_3-2-1_090085_2022-11-05_final
2022-12-24 09:17:05	ga_ls8c_ard_3-2-1_090075_2022-12-23_final
2023-01-21 09:41:21	ga_ls8c_ard_3-2-1_094074_2023-01-21_final
2023-02-02 10:04:08	ga_ls8c_ard_3-2-1_098069_2023-02-02_final
2023-03-05 09:22:31	ga_ls8c_ard_3-2-1_091074_2023-03-04_final
2023-03-14 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-03-14_final
2023-03-16 10:45:58	ga_ls8c_ard_3-2-1_104082_2023-03-16_final
2023-04-28 10:24:59	ga_ls8c_ard_3-2-1_101077_2023-04-28_final
2023-05-09 10:06:18	ga_ls8c_ard_3-2-1_098077_2023-05-09_final
2023-05-09 10:08:41	ga_ls8c_ard_3-2-1_098083_2023-05-09_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-07-13 09:14:13	ga_ls8c_ard_3-2-1_089085_2023-07-12_final
2023-07-16 11:23:36	ga_ls8c_ard_3-2-1_110084_2023-07-16_final
2023-09-02 09:40:13	ga_ls8c_ard_3-2-1_094072_2023-09-02_final
2023-10-11 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-10-11_final
2023-10-27 11:25:54	ga_ls8c_ard_3-2-1_111073_2023-10-27_final
2024-01-15 09:47:20	ga_ls8c_ard_3-2-1_095074_2024-01-15_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_final
2024-03-06 10:21:10	ga_ls8c_ard_3-2-1_100082_2024-03-06_final
2024-03-08 10:02:49	ga_ls8c_ard_3-2-1_098067_2024-03-08_final
2024-03-08 10:07:12	ga_ls8c_ard_3-2-1_098078_2024-03-08_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