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
2013-05-16 10:41:25	ga_ls8c_ard_3-0-0_103081_2013-05-16_final
2014-02-02 11:43:29	ga_ls8c_ard_3-0-0_113084_2014-02-02_final
2014-03-05 10:54:33	ga_ls8c_ard_3-0-0_106071_2014-03-05_final
2014-03-11 10:19:51	ga_ls8c_ard_3-0-0_100077_2014-03-11_final
2014-05-12 10:32:50	ga_ls8c_ard_3-0-0_102081_2014-05-12_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-05-23 10:12:37	ga_ls8c_ard_3-0-0_099077_2014-05-23_final
2014-08-27 10:13:36	ga_ls8c_ard_3-0-0_099078_2014-08-27_final
2014-10-10 10:34:27	ga_ls8c_ard_3-0-0_103068_2014-10-10_final
2015-02-15 10:39:14	ga_ls8c_ard_3-0-0_103081_2015-02-15_final
2015-04-29 10:32:31	ga_ls8c_ard_3-0-0_102081_2015-04-29_final
2015-06-02 10:18:26	ga_ls8c_ard_3-0-0_100077_2015-06-02_final
2015-08-31 10:55:23	ga_ls8c_ard_3-0-0_106075_2015-08-31_final
2015-10-21 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-10-21_final
2015-12-09 10:33:46	ga_ls8c_ard_3-0-0_102082_2015-12-09_final
2015-12-25 10:29:00	ga_ls8c_ard_3-0-0_102070_2015-12-25_final
2016-01-01 10:35:57	ga_ls8c_ard_3-0-0_103072_2016-01-01_final
2016-01-21 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-21_final
2016-03-03 10:46:54	ga_ls8c_ard_3-0-0_105069_2016-03-03_final
2016-04-05 11:35:30	ga_ls8c_ard_3-0-0_112083_2016-04-05_final
2016-04-26 10:13:26	ga_ls8c_ard_3-0-0_099079_2016-04-26_final
2016-04-28 11:42:00	ga_ls8c_ard_3-0-0_113084_2016-04-28_final
2016-05-18 11:13:42	ga_ls8c_ard_3-0-0_109075_2016-05-18_final
2016-10-04 10:53:03	ga_ls8c_ard_3-0-0_106068_2016-10-04_final
2016-10-10 10:19:36	ga_ls8c_ard_3-0-0_100077_2016-10-10_final
2016-10-24 10:33:36	ga_ls8c_ard_3-0-0_102081_2016-10-24_final
2016-11-09 10:33:59	ga_ls8c_ard_3-0-0_102082_2016-11-09_final
2016-11-11 10:17:14	ga_ls8c_ard_3-0-0_100071_2016-11-11_final
2016-12-20 10:23:19	ga_ls8c_ard_3-0-0_101071_2016-12-20_final
2017-01-11 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-01-11_final
2017-03-14 11:42:10	ga_ls8c_ard_3-0-0_113084_2017-03-14_final
2017-04-01 11:23:40	ga_ls8c_ard_3-0-0_111069_2017-04-01_final
2017-04-29 10:13:13	ga_ls8c_ard_3-0-0_099079_2017-04-29_final
2017-05-19 11:29:09	ga_ls8c_ard_3-0-0_111083_2017-05-19_final
2017-05-21 11:13:37	ga_ls8c_ard_3-0-0_109075_2017-05-21_final
2018-04-01 10:52:14	ga_ls8c_ard_3-0-0_106068_2018-04-01_final
2018-05-23 10:26:59	ga_ls8c_ard_3-0-0_102068_2018-05-23_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-07-09 11:23:37	ga_ls8c_ard_3-0-0_111070_2018-07-09_final
2018-07-16 11:29:51	ga_ls8c_ard_3-0-0_112070_2018-07-16_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2018-12-26 10:23:22	ga_ls8c_ard_3-1-0_101072_2018-12-26_final
2019-02-21 10:16:38	ga_ls8c_ard_3-0-0_100071_2019-02-21_final
2019-03-12 10:49:01	ga_ls8c_ard_3-1-0_105075_2019-03-12_final
2019-04-19 10:12:33	ga_ls8c_ard_3-1-0_099077_2019-04-19_final
2019-09-23 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-09-23_final
2019-10-06 10:49:46	ga_ls8c_ard_3-1-0_105075_2019-10-06_final
2019-11-03 11:14:31	ga_ls8c_ard_3-1-0_109075_2019-11-03_final
2019-11-21 11:01:41	ga_ls8c_ard_3-1-0_107074_2019-11-21_final
2019-11-26 11:18:14	ga_ls8c_ard_3-1-0_110069_2019-11-26_final
2020-01-13 11:17:18	ga_ls8c_ard_3-1-0_110067_2020-01-13_final
2020-01-20 11:27:02	ga_ls8c_ard_3-1-0_111076_2020-01-20_final
2020-03-05 10:53:55	ga_ls8c_ard_3-1-0_106071_2020-03-05_final
2020-04-12 10:18:31	ga_ls8c_ard_3-1-0_100076_2020-04-12_final
2020-04-15 10:49:24	ga_ls8c_ard_3-1-0_105076_2020-04-15_final
2020-09-22 10:50:05	ga_ls8c_ard_3-1-0_105076_2020-09-22_final
2020-09-28 10:13:49	ga_ls8c_ard_3-1-0_099078_2020-09-28_final
2020-10-18 11:26:01	ga_ls8c_ard_3-1-0_111073_2020-10-18_final
2020-12-28 09:50:53	ga_ls8c_ard_3-2-0_096067_2020-12-28_final
2021-01-03 10:55:51	ga_ls8c_ard_3-2-0_106075_2021-01-03_final
2021-01-12 09:11:31	ga_ls8c_ard_3-2-0_089077_2021-01-11_final
2021-02-10 11:58:41	ga_ls8c_ard_3-2-0_116078_2021-02-10_final
2021-04-04 10:34:01	ga_ls8c_ard_3-2-0_103068_2021-04-04_final
2021-05-26 10:13:13	ga_ls8c_ard_3-2-0_099078_2021-05-26_final
2021-05-31 10:28:12	ga_ls8c_ard_3-2-0_102069_2021-05-31_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-07-10 11:22:36	ga_ls8c_ard_3-2-0_110081_2021-07-10_final
2021-07-24 11:30:40	ga_ls8c_ard_3-2-0_112070_2021-07-24_final
2021-08-15 09:17:15	ga_ls8c_ard_3-2-0_090076_2021-08-14_final
2021-08-30 11:51:25	ga_ls8c_ard_3-2-0_115075_2021-08-30_final
2021-09-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2021-09-16_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-11-01 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-11-01_final
2021-11-18 10:11:03	ga_ls8c_ard_3-2-0_099071_2021-11-18_final
2021-11-27 10:04:54	ga_ls8c_ard_3-2-0_098071_2021-11-27_final
2021-12-03 11:08:18	ga_ls8c_ard_3-2-0_108075_2021-12-03_final
2022-01-21 10:16:30	ga_ls8c_ard_3-2-1_099085_2022-01-21_final
2022-01-28 10:19:02	ga_ls8c_ard_3-2-1_100076_2022-01-28_final
2022-02-03 11:23:14	ga_ls8c_ard_3-2-1_110082_2022-02-03_final
2022-02-12 09:34:08	ga_ls8c_ard_3-2-1_093072_2022-02-12_final
2022-03-31 10:27:48	ga_ls8c_ard_3-2-1_102068_2022-03-31_final
2022-04-13 11:37:29	ga_ls8c_ard_3-2-1_113072_2022-04-13_final
2022-05-03 11:16:20	ga_ls8c_ard_3-2-1_109081_2022-05-03_final
2022-05-23 09:13:39	ga_ls8c_ard_3-2-1_089083_2022-05-22_final
2022-09-12 09:11:08	ga_ls8c_ard_3-2-1_089075_2022-09-11_final
2022-11-07 09:57:48	ga_ls8c_ard_3-2-1_097068_2022-11-07_final
2022-12-26 10:44:01	ga_ls8c_ard_3-2-1_104076_2022-12-26_final
2023-01-07 09:29:52	ga_ls8c_ard_3-2-1_092076_2023-01-06_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-02-16 10:19:33	ga_ls8c_ard_3-2-1_100077_2023-02-16_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-05-27 09:56:41	ga_ls8c_ard_3-2-1_096084_2023-05-27_final
2023-06-21 09:51:04	ga_ls8c_ard_3-2-1_095085_2023-06-21_final
2023-07-02 11:05:34	ga_ls8c_ard_3-2-1_108070_2023-07-02_final
2023-09-01 10:39:26	ga_ls8c_ard_3-2-1_103081_2023-09-01_final
2023-09-17 10:35:55	ga_ls8c_ard_3-2-1_103072_2023-09-17_final
2023-11-07 09:32:49	ga_ls8c_ard_3-2-1_092084_2023-11-07_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-01-06 09:57:51	ga_ls8c_ard_3-2-1_096085_2024-01-06_final
2024-02-24 10:35:53	ga_ls8c_ard_3-2-1_103072_2024-02-24_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