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
2013-03-26 11:14:16	ga_ls8c_ard_3-0-0_109073_2013-03-26_final
2013-06-20 11:09:52	ga_ls8c_ard_3-0-0_108075_2013-06-20_final
2013-07-09 10:03:57	ga_ls8c_ard_3-0-0_097080_2013-07-09_final
2013-08-28 11:31:20	ga_ls8c_ard_3-0-0_111082_2013-08-28_final
2013-09-24 11:13:26	ga_ls8c_ard_3-0-0_108084_2013-09-24_final
2013-11-03 10:19:27	ga_ls8c_ard_3-0-0_100073_2013-11-03_final
2013-11-30 11:39:16	ga_ls8c_ard_3-0-0_113072_2013-11-30_final
2013-12-11 11:18:42	ga_ls8c_ard_3-0-0_110067_2013-12-11_final
2013-12-19 10:29:56	ga_ls8c_ard_3-0-0_102069_2013-12-19_final
2014-05-24 10:51:53	ga_ls8c_ard_3-0-0_106067_2014-05-24_final
2014-06-23 11:09:15	ga_ls8c_ard_3-0-0_108079_2014-06-23_final
2014-08-01 11:14:29	ga_ls8c_ard_3-0-0_109076_2014-08-01_final
2015-01-04 09:58:24	ga_ls8c_ard_3-0-0_097071_2015-01-04_final
2015-03-14 11:57:23	ga_ls8c_ard_3-0-0_116076_2015-03-14_final
2015-03-26 10:40:20	ga_ls8c_ard_3-0-0_104069_2015-03-26_final
2015-06-13 09:56:26	ga_ls8c_ard_3-0-0_097068_2015-06-13_final
2015-07-08 11:31:21	ga_ls8c_ard_3-0-0_112073_2015-07-08_final
2015-10-03 11:35:40	ga_ls8c_ard_3-0-0_113067_2015-10-03_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-11-29 09:58:19	ga_ls8c_ard_3-0-0_096086_2015-11-29_final
2016-01-01 10:39:33	ga_ls8c_ard_3-0-0_103081_2016-01-01_final
2016-03-09 10:13:47	ga_ls8c_ard_3-0-0_099079_2016-03-09_final
2016-03-13 11:23:08	ga_ls8c_ard_3-0-0_111067_2016-03-13_final
2016-05-08 10:39:01	ga_ls8c_ard_3-0-0_103081_2016-05-08_final
2016-06-06 11:46:42	ga_ls8c_ard_3-0-0_114080_2016-06-06_final
2016-07-04 10:33:32	ga_ls8c_ard_3-0-0_102082_2016-07-04_final
2017-02-01 10:03:23	ga_ls8c_ard_3-0-0_098068_2017-02-01_final
2017-02-11 10:42:47	ga_ls8c_ard_3-0-0_104074_2017-02-11_final
2017-02-18 10:46:56	ga_ls8c_ard_3-0-0_105069_2017-02-18_final
2017-02-24 10:10:37	ga_ls8c_ard_3-0-0_099071_2017-02-24_final
2017-04-10 11:18:37	ga_ls8c_ard_3-0-0_110072_2017-04-10_final
2017-08-13 10:51:26	ga_ls8c_ard_3-0-0_105080_2017-08-13_final
2017-08-21 11:42:31	ga_ls8c_ard_3-0-0_113084_2017-08-21_final
2017-08-28 10:09:50	ga_ls8c_ard_3-0-0_098084_2017-08-28_final
2018-02-07 10:34:54	ga_ls8c_ard_3-0-0_103070_2018-02-07_final
2018-02-11 10:16:09	ga_ls8c_ard_3-0-0_099085_2018-02-11_final
2018-07-03 10:26:33	ga_ls8c_ard_3-0-0_101082_2018-07-03_final
2018-11-26 10:10:15	ga_ls8c_ard_3-0-0_099070_2018-11-26_final
2019-01-01 11:26:21	ga_ls8c_ard_3-0-0_111075_2019-01-01_final
2019-01-24 11:32:28	ga_ls8c_ard_3-0-0_112075_2019-01-24_final
2019-04-09 11:13:14	ga_ls8c_ard_3-1-0_109074_2019-04-09_final
2019-05-21 10:15:09	ga_ls8c_ard_3-0-0_099083_2019-05-21_final
2019-09-08 10:27:42	ga_ls8c_ard_3-1-0_101082_2019-09-08_final
2019-10-06 10:52:34	ga_ls8c_ard_3-1-0_105082_2019-10-06_final
2020-02-10 10:03:48	ga_ls8c_ard_3-1-0_098069_2020-02-10_final
2020-02-21 11:28:29	ga_ls8c_ard_3-1-0_111080_2020-02-21_final
2020-02-26 11:46:36	ga_ls8c_ard_3-1-0_114079_2020-02-26_final
2020-03-11 10:19:11	ga_ls8c_ard_3-1-0_100077_2020-03-11_final
2020-03-24 11:25:28	ga_ls8c_ard_3-1-0_111073_2020-03-24_final
2020-04-23 09:56:42	ga_ls8c_ard_3-1-0_097068_2020-04-23_final
2020-05-23 10:12:34	ga_ls8c_ard_3-1-0_099077_2020-05-23_final
2020-07-10 10:12:58	ga_ls8c_ard_3-1-0_099077_2020-07-10_final
2020-08-13 09:57:33	ga_ls8c_ard_3-1-0_097069_2020-08-13_final
2021-02-14 11:31:33	ga_ls8c_ard_3-2-0_112072_2021-02-14_final
2021-02-21 10:04:00	ga_ls8c_ard_3-2-0_097085_2021-02-21_final
2021-03-06 11:07:29	ga_ls8c_ard_3-2-0_108074_2021-03-06_final
2021-04-13 10:32:58	ga_ls8c_ard_3-2-0_102081_2021-04-13_final
2021-05-07 09:39:43	ga_ls8c_ard_3-2-0_094072_2021-05-07_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-07-03 11:14:25	ga_ls8c_ard_3-2-0_109076_2021-07-03_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-07-19 11:14:04	ga_ls8c_ard_3-2-0_109075_2021-07-19_final
2021-07-29 10:10:45	ga_ls8c_ard_3-2-0_099071_2021-07-29_final
2021-08-27 09:38:26	ga_ls8c_ard_3-2-0_094067_2021-08-27_final
2021-08-28 10:27:41	ga_ls8c_ard_3-2-0_101082_2021-08-28_final
2021-09-30 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-09-30_final
2021-10-09 09:22:29	ga_ls8c_ard_3-2-0_091073_2021-10-08_final
2021-10-16 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-15_final
2021-11-09 10:19:41	ga_ls8c_ard_3-2-0_100077_2021-11-09_final
2021-11-10 09:24:52	ga_ls8c_ard_3-2-0_091079_2021-11-09_final
2021-12-25 10:28:46	ga_ls8c_ard_3-2-1_102069_2021-12-25_final
2022-04-16 10:32:42	ga_ls8c_ard_3-2-1_102080_2022-04-16_final
2022-05-03 11:13:32	ga_ls8c_ard_3-2-1_109074_2022-05-03_final
2022-05-31 09:57:09	ga_ls8c_ard_3-2-1_097068_2022-05-31_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-06-20 11:14:20	ga_ls8c_ard_3-2-1_109075_2022-06-20_final
2022-07-06 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-07-06_final
2022-07-15 11:08:09	ga_ls8c_ard_3-2-1_108075_2022-07-15_final
2022-07-20 11:29:58	ga_ls8c_ard_3-2-1_111083_2022-07-20_final
2022-07-29 09:40:13	ga_ls8c_ard_3-2-1_094071_2022-07-29_final
2022-08-28 09:52:19	ga_ls8c_ard_3-2-1_096070_2022-08-28_final
2022-09-20 09:57:49	ga_ls8c_ard_3-2-1_097068_2022-09-20_final
2022-10-05 12:31:53	ga_ls8c_ard_3-2-1_122067_2022-10-05_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-10-24 11:24:18	ga_ls8c_ard_3-2-1_111068_2022-10-24_final
2022-11-05 10:09:46	ga_ls8c_ard_3-2-1_099067_2022-11-05_final
2022-11-05 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-11-05_final
2022-11-07 10:04:11	ga_ls8c_ard_3-2-1_097084_2022-11-07_final
2022-11-12 10:22:17	ga_ls8c_ard_3-2-1_100083_2022-11-12_final
2022-11-15 10:47:33	ga_ls8c_ard_3-2-1_105069_2022-11-15_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-03-22 10:02:49	ga_ls8c_ard_3-2-1_098067_2023-03-22_final
2023-05-08 09:21:51	ga_ls8c_ard_3-2-1_091074_2023-05-07_final
2023-07-03 11:50:50	ga_ls8c_ard_3-2-1_115075_2023-07-03_final
2023-07-16 09:39:56	ga_ls8c_ard_3-2-1_094072_2023-07-16_final
2023-08-13 10:02:50	ga_ls8c_ard_3-2-1_098067_2023-08-13_final
2023-12-04 10:46:45	ga_ls8c_ard_3-2-1_105068_2023-12-04_final
2023-12-07 09:45:30	ga_ls8c_ard_3-2-1_094085_2023-12-07_final
2023-12-10 10:10:27	ga_ls8c_ard_3-2-1_099070_2023-12-10_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