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
2013-04-01 11:49:24	ga_ls8c_ard_3-0-0_114075_2013-04-01_final
2013-04-04 10:27:13	ga_ls8c_ard_3-0-0_101073_2013-04-04_final
2013-05-13 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-05-13_final
2013-07-07 11:54:47	ga_ls8c_ard_3-0-0_115079_2013-07-07_final
2013-07-27 09:51:59	ga_ls8c_ard_3-0-0_095081_2013-07-27_final
2013-08-11 10:47:38	ga_ls8c_ard_3-0-0_104081_2013-08-11_final
2013-08-22 10:24:43	ga_ls8c_ard_3-0-0_101070_2013-08-22_final
2013-08-25 10:54:26	ga_ls8c_ard_3-0-0_106067_2013-08-25_final
2013-10-26 11:07:18	ga_ls8c_ard_3-0-0_108069_2013-10-26_final
2014-02-25 10:08:52	ga_ls8c_ard_3-0-0_098080_2014-02-25_final
2014-06-28 09:48:07	ga_ls8c_ard_3-0-0_095077_2014-06-28_final
2014-06-28 11:24:37	ga_ls8c_ard_3-0-0_111071_2014-06-28_final
2014-10-01 10:44:58	ga_ls8c_ard_3-0-0_104079_2014-10-01_final
2014-11-10 11:30:06	ga_ls8c_ard_3-0-0_112068_2014-11-10_final
2014-12-30 11:17:57	ga_ls8c_ard_3-0-0_110069_2014-12-30_final
2015-01-10 11:01:25	ga_ls8c_ard_3-0-0_107074_2015-01-10_final
2015-01-21 10:45:35	ga_ls8c_ard_3-0-0_104081_2015-01-21_final
2015-01-29 11:29:50	ga_ls8c_ard_3-0-0_112068_2015-01-29_final
2015-01-29 11:31:49	ga_ls8c_ard_3-0-0_112073_2015-01-29_final
2015-02-12 10:07:58	ga_ls8c_ard_3-0-0_098080_2015-02-12_final
2015-04-24 10:14:51	ga_ls8c_ard_3-0-0_099083_2015-04-24_final
2015-05-05 11:31:01	ga_ls8c_ard_3-0-0_112073_2015-05-05_final
2015-05-18 11:01:35	ga_ls8c_ard_3-0-0_107077_2015-05-18_final
2015-09-10 11:31:45	ga_ls8c_ard_3-0-0_112073_2015-09-10_final
2015-09-28 11:18:19	ga_ls8c_ard_3-0-0_110070_2015-09-28_final
2015-10-01 11:53:13	ga_ls8c_ard_3-0-0_115080_2015-10-01_final
2015-10-12 11:31:53	ga_ls8c_ard_3-0-0_112073_2015-10-12_final
2015-10-12 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-10-12_final
2015-10-26 11:47:31	ga_ls8c_ard_3-0-0_114081_2015-10-26_final
2015-12-01 11:18:04	ga_ls8c_ard_3-0-0_110069_2015-12-01_final
2015-12-07 10:43:21	ga_ls8c_ard_3-0-0_104075_2015-12-07_final
2016-02-02 10:39:05	ga_ls8c_ard_3-0-0_103080_2016-02-02_final
2016-05-01 10:31:40	ga_ls8c_ard_3-0-0_102078_2016-05-01_final
2016-05-30 10:03:36	ga_ls8c_ard_3-0-0_097085_2016-05-30_final
2016-06-08 09:51:04	ga_ls8c_ard_3-0-0_096069_2016-06-08_final
2016-06-10 11:23:35	ga_ls8c_ard_3-0-0_110084_2016-06-10_final
2016-07-05 11:11:37	ga_ls8c_ard_3-0-0_109069_2016-07-05_final
2016-07-23 11:02:33	ga_ls8c_ard_3-0-0_107077_2016-07-23_final
2016-09-28 09:51:37	ga_ls8c_ard_3-0-0_096069_2016-09-28_final
2016-10-14 09:51:43	ga_ls8c_ard_3-0-0_096069_2016-10-14_final
2016-11-13 10:06:28	ga_ls8c_ard_3-0-0_098075_2016-11-13_final
2016-11-24 08:11:03	ga_ls8c_ard_3-2-1_079080_2016-11-23_final
2017-03-08 10:35:14	ga_ls8c_ard_3-0-0_103071_2017-03-08_final
2017-05-02 10:44:53	ga_ls8c_ard_3-0-0_104081_2017-05-02_final
2017-07-02 10:09:19	ga_ls8c_ard_3-0-0_099068_2017-07-02_final
2017-11-06 11:09:26	ga_ls8c_ard_3-0-0_108078_2017-11-06_final
2017-12-14 10:33:01	ga_ls8c_ard_3-0-0_102080_2017-12-14_final
2018-02-14 10:41:50	ga_ls8c_ard_3-0-0_104072_2018-02-14_final
2018-10-20 11:31:44	ga_ls8c_ard_3-0-0_112073_2018-10-20_final
2018-11-03 10:02:28	ga_ls8c_ard_3-2-1_098066_2018-11-03_final
2018-11-21 11:31:48	ga_ls8c_ard_3-0-0_112073_2018-11-21_final
2018-12-28 10:09:24	ga_ls8c_ard_3-0-0_099068_2018-12-28_final
2019-03-19 10:57:34	ga_ls8c_ard_3-1-0_106081_2019-03-19_final
2019-03-30 10:39:23	ga_ls8c_ard_3-1-0_103082_2019-03-30_final
2019-04-19 11:52:38	ga_ls8c_ard_3-1-0_115080_2019-04-19_final
2019-07-27 10:45:38	ga_ls8c_ard_3-1-0_104081_2019-07-27_final
2019-08-06 11:23:11	ga_ls8c_ard_3-1-0_110082_2019-08-06_final
2019-12-10 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-12-10_final
2020-01-27 11:29:59	ga_ls8c_ard_3-1-0_112068_2020-01-27_final
2020-06-12 08:10:20	ga_ls8c_ard_3-2-1_079080_2020-06-11_final
2020-07-01 08:42:11	ga_ls8c_ard_3-2-1_084082_2020-06-30_final
2020-07-21 11:31:46	ga_ls8c_ard_3-1-0_112073_2020-07-21_final
2020-08-24 11:18:00	ga_ls8c_ard_3-1-0_110069_2020-08-24_final
2020-10-21 08:42:45	ga_ls8c_ard_3-2-1_084082_2020-10-20_final
2020-10-30 10:15:50	ga_ls8c_ard_3-1-0_099083_2020-10-30_final
2020-12-28 09:51:41	ga_ls8c_ard_3-2-0_096069_2020-12-28_final
2021-01-01 09:30:08	ga_ls8c_ard_3-2-0_092077_2021-01-01_final
2021-01-15 11:21:41	ga_ls8c_ard_3-2-0_110078_2021-01-15_final
2021-01-19 09:23:14	ga_ls8c_ard_3-2-0_090091_2021-01-18_final
2021-02-13 10:52:17	ga_ls8c_ard_3-2-0_105082_2021-02-13_final
2021-05-20 10:52:14	ga_ls8c_ard_3-2-0_105083_2021-05-20_final
2021-07-05 12:37:22	ga_ls8c_ard_3-2-1_123067_2021-07-05_final
2021-09-06 08:42:40	ga_ls8c_ard_3-2-1_084082_2021-09-05_final
2021-09-24 11:47:43	ga_ls8c_ard_3-2-0_114081_2021-09-24_final
2021-11-24 09:39:35	ga_ls8c_ard_3-2-0_093085_2021-11-24_final
2021-12-26 09:36:19	ga_ls8c_ard_3-2-1_093077_2021-12-26_final
2022-01-15 09:16:20	ga_ls8c_ard_3-2-1_089089_2022-01-14_final
2022-02-23 09:19:07	ga_ls8c_ard_3-2-1_090081_2022-02-22_final
2022-08-02 12:31:43	ga_ls8c_ard_3-2-1_122067_2022-08-02_final
2022-08-12 09:55:05	ga_ls8c_ard_3-2-1_096077_2022-08-12_final
2022-08-23 11:18:15	ga_ls8c_ard_3-2-1_109084_2022-08-23_final
2022-09-01 09:33:59	ga_ls8c_ard_3-2-1_092086_2022-09-01_final
2022-09-01 11:08:52	ga_ls8c_ard_3-2-1_108076_2022-09-01_final
2022-09-27 11:48:04	ga_ls8c_ard_3-2-1_114081_2022-09-27_final
2022-10-02 10:24:31	ga_ls8c_ard_3-2-1_101073_2022-10-02_final
2023-02-04 09:53:22	ga_ls8c_ard_3-2-1_096073_2023-02-04_final
2023-06-18 10:58:15	ga_ls8c_ard_3-2-1_106083_2023-06-18_final
2023-06-19 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-06-19_final
2023-06-24 10:21:35	ga_ls8c_ard_3-2-1_100084_2023-06-24_final
2023-07-20 12:30:58	ga_ls8c_ard_3-2-1_122067_2023-07-20_final
2023-08-31 11:31:52	ga_ls8c_ard_3-2-1_112073_2023-08-31_final
2023-09-07 09:57:32	ga_ls8c_ard_3-2-1_097069_2023-09-07_final
2023-09-15 09:10:11	ga_ls8c_ard_3-2-1_089074_2023-09-14_final
2023-09-15 09:15:46	ga_ls8c_ard_3-2-1_089088_2023-09-14_final
2023-09-23 11:41:19	ga_ls8c_ard_3-2-1_113081_2023-09-23_final
2023-09-24 10:45:42	ga_ls8c_ard_3-2-1_104081_2023-09-24_final
2023-11-19 11:32:06	ga_ls8c_ard_3-2-1_112073_2023-11-19_final
2023-12-21 09:53:12	ga_ls8c_ard_3-2-1_096073_2023-12-21_final
2024-02-20 09:28:08	ga_ls8c_ard_3-2-1_091088_2024-02-19_final
2024-02-27 11:05:34	ga_ls8c_ard_3-2-1_108069_2024-02-27_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