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
2013-04-03 11:30:23	ga_ls8c_ard_3-0-0_111081_2013-04-03_final
2013-07-23 11:53:34	ga_ls8c_ard_3-0-0_115076_2013-07-23_final
2013-08-26 11:41:17	ga_ls8c_ard_3-0-0_113076_2013-08-26_final
2013-09-08 11:10:22	ga_ls8c_ard_3-0-0_108076_2013-09-08_final
2013-10-03 11:06:50	ga_ls8c_ard_3-0-0_107083_2013-10-03_final
2013-12-20 11:13:11	ga_ls8c_ard_3-0-0_109069_2013-12-20_final
2014-01-25 10:48:08	ga_ls8c_ard_3-0-0_105069_2014-01-25_final
2014-08-17 11:11:48	ga_ls8c_ard_3-0-0_109069_2014-08-17_final
2014-08-31 11:24:11	ga_ls8c_ard_3-0-0_111069_2014-08-31_final
2015-07-17 11:25:15	ga_ls8c_ard_3-0-0_111073_2015-07-17_final
2015-10-02 10:55:36	ga_ls8c_ard_3-0-0_106075_2015-10-02_final
2015-11-03 10:57:42	ga_ls8c_ard_3-0-0_106080_2015-11-03_final
2015-11-12 10:46:43	ga_ls8c_ard_3-0-0_105068_2015-11-12_final
2016-02-10 11:24:29	ga_ls8c_ard_3-0-0_111070_2016-02-10_final
2016-04-07 11:17:32	ga_ls8c_ard_3-0-0_110069_2016-04-07_final
2016-04-20 10:48:57	ga_ls8c_ard_3-0-0_105075_2016-04-20_final
2016-05-21 11:45:25	ga_ls8c_ard_3-0-0_114077_2016-05-21_final
2016-06-30 10:55:25	ga_ls8c_ard_3-0-0_106075_2016-06-30_final
2016-08-29 11:17:17	ga_ls8c_ard_3-0-0_110067_2016-08-29_final
2017-01-06 11:06:09	ga_ls8c_ard_3-0-0_108070_2017-01-06_final
2017-01-25 11:38:33	ga_ls8c_ard_3-0-0_113074_2017-01-25_final
2017-03-22 10:45:51	ga_ls8c_ard_3-0-0_105067_2017-03-22_final
2017-04-13 11:50:41	ga_ls8c_ard_3-0-0_115075_2017-04-13_final
2017-05-21 11:13:13	ga_ls8c_ard_3-0-0_109074_2017-05-21_final
2017-06-08 11:03:49	ga_ls8c_ard_3-0-0_107081_2017-06-08_final
2017-08-16 11:23:57	ga_ls8c_ard_3-0-0_110084_2017-08-16_final
2017-10-03 11:20:09	ga_ls8c_ard_3-0-0_110074_2017-10-03_final
2017-10-28 11:14:49	ga_ls8c_ard_3-0-0_109076_2017-10-28_final
2018-03-02 10:45:43	ga_ls8c_ard_3-0-0_104082_2018-03-02_final
2018-07-18 11:23:05	ga_ls8c_ard_3-0-0_110084_2018-07-18_final
2018-07-27 11:10:58	ga_ls8c_ard_3-0-0_109069_2018-07-27_final
2018-10-01 11:03:30	ga_ls8c_ard_3-0-0_107080_2018-10-01_final
2018-10-22 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-10-22_final
2018-11-02 11:01:17	ga_ls8c_ard_3-0-0_107074_2018-11-02_final
2018-11-12 11:38:23	ga_ls8c_ard_3-0-0_113074_2018-11-12_final
2018-12-27 11:05:26	ga_ls8c_ard_3-0-0_108069_2018-12-27_final
2019-04-11 11:04:27	ga_ls8c_ard_3-1-0_107083_2019-04-11_final
2019-05-04 11:07:47	ga_ls8c_ard_3-0-0_108076_2019-05-04_final
2019-09-07 11:18:32	ga_ls8c_ard_3-1-0_110070_2019-09-07_final
2019-09-12 11:35:55	ga_ls8c_ard_3-1-0_113067_2019-09-12_final
2019-09-21 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-09-21_final
2019-10-16 11:27:17	ga_ls8c_ard_3-1-0_111076_2019-10-16_final
2019-12-03 11:25:36	ga_ls8c_ard_3-1-0_111072_2019-12-03_final
2020-03-05 10:53:07	ga_ls8c_ard_3-1-0_106069_2020-03-05_final
2020-03-15 11:32:31	ga_ls8c_ard_3-1-0_112075_2020-03-15_final
2020-04-02 11:23:11	ga_ls8c_ard_3-1-0_110083_2020-04-02_final
2020-05-11 11:24:41	ga_ls8c_ard_3-1-0_111072_2020-05-11_final
2020-05-29 11:14:23	ga_ls8c_ard_3-1-0_109077_2020-05-29_final
2021-01-18 10:14:04	ga_ls8c_ard_3-2-0_099079_2021-01-18_final
2021-01-26 09:21:49	ga_ls8c_ard_3-2-0_091072_2021-01-25_final
2021-02-13 09:12:12	ga_ls8c_ard_3-2-0_089079_2021-02-12_final
2021-03-01 10:46:12	ga_ls8c_ard_3-2-0_105067_2021-03-01_final
2021-03-13 09:39:06	ga_ls8c_ard_3-2-0_093085_2021-03-13_final
2021-04-12 09:46:07	ga_ls8c_ard_3-2-0_095072_2021-04-12_final
2021-05-18 09:22:06	ga_ls8c_ard_3-2-0_091074_2021-05-17_final
2021-06-27 10:15:24	ga_ls8c_ard_3-2-0_099083_2021-06-27_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-07-21 11:04:55	ga_ls8c_ard_3-2-0_107083_2021-07-21_final
2021-07-26 11:17:55	ga_ls8c_ard_3-2-0_110069_2021-07-26_final
2021-08-06 09:26:58	ga_ls8c_ard_3-2-0_091085_2021-08-05_final
2021-09-25 10:46:55	ga_ls8c_ard_3-2-0_105068_2021-09-25_final
2021-10-09 09:23:41	ga_ls8c_ard_3-2-0_091076_2021-10-08_final
2021-10-26 10:03:47	ga_ls8c_ard_3-2-0_098068_2021-10-26_final
2021-11-26 11:00:07	ga_ls8c_ard_3-2-0_107070_2021-11-26_final
2021-12-11 10:18:51	ga_ls8c_ard_3-2-1_100075_2021-12-11_final
2022-02-19 11:19:57	ga_ls8c_ard_3-2-1_110074_2022-02-19_final
2022-02-27 10:28:53	ga_ls8c_ard_3-2-1_102070_2022-02-27_final
2022-03-11 09:20:40	ga_ls8c_ard_3-2-1_090085_2022-03-10_final
2022-04-01 09:39:46	ga_ls8c_ard_3-2-1_093087_2022-04-01_final
2022-05-30 09:16:39	ga_ls8c_ard_3-2-1_090075_2022-05-29_final
2022-05-30 10:53:09	ga_ls8c_ard_3-2-1_106069_2022-05-30_final
2022-06-09 09:51:53	ga_ls8c_ard_3-2-1_096070_2022-06-09_final
2022-07-11 09:56:48	ga_ls8c_ard_3-2-1_096082_2022-07-11_final
2022-07-18 11:42:17	ga_ls8c_ard_3-2-1_113083_2022-07-18_final
2022-08-07 09:35:43	ga_ls8c_ard_3-2-1_093075_2022-08-07_final
2022-09-07 10:30:38	ga_ls8c_ard_3-2-1_102073_2022-09-07_final
2022-10-06 11:42:38	ga_ls8c_ard_3-2-1_113083_2022-10-06_final
2022-10-15 09:55:05	ga_ls8c_ard_3-2-1_096077_2022-10-15_final
2022-10-15 09:58:17	ga_ls8c_ard_3-2-1_096085_2022-10-15_final
2022-10-21 10:59:21	ga_ls8c_ard_3-2-1_106083_2022-10-21_final
2022-12-08 10:56:32	ga_ls8c_ard_3-2-1_106076_2022-12-08_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-04-24 10:46:08	ga_ls8c_ard_3-2-1_105068_2023-04-24_final
2023-05-02 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-05-02_final
2023-05-13 11:17:36	ga_ls8c_ard_3-2-1_110070_2023-05-13_final
2023-06-19 09:57:26	ga_ls8c_ard_3-2-1_097070_2023-06-19_final
2023-06-20 10:41:54	ga_ls8c_ard_3-2-1_104073_2023-06-20_final
2023-07-05 10:00:49	ga_ls8c_ard_3-2-1_097078_2023-07-05_final
2023-09-08 10:46:00	ga_ls8c_ard_3-2-1_104082_2023-09-08_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-09-15 09:13:22	ga_ls8c_ard_3-2-1_089082_2023-09-14_final
2023-09-16 11:32:20	ga_ls8c_ard_3-2-1_112074_2023-09-16_final
2023-10-03 10:39:57	ga_ls8c_ard_3-2-1_103082_2023-10-03_final
2023-10-23 10:10:54	ga_ls8c_ard_3-2-1_099071_2023-10-23_final
2023-11-26 11:37:54	ga_ls8c_ard_3-2-1_113072_2023-11-26_final
2023-12-01 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-01_final
2023-12-01 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-01_final
2023-12-05 09:57:30	ga_ls8c_ard_3-2-1_096084_2023-12-05_final
2023-12-17 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-17_final
2024-01-15 09:52:07	ga_ls8c_ard_3-2-1_095086_2024-01-15_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years