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 11:15:28	ga_ls8c_ard_3-0-0_109076_2013-03-26_final
2013-08-27 10:43:17	ga_ls8c_ard_3-0-0_104070_2013-08-27_final
2013-12-13 11:09:31	ga_ls8c_ard_3-0-0_108075_2013-12-13_final
2014-02-19 09:07:57	ga_ls8c_ard_3-0-0_088082_2014-02-18_final
2014-06-05 11:18:45	ga_ls8c_ard_3-0-0_110072_2014-06-05_final
2014-07-22 10:39:43	ga_ls8c_ard_3-0-0_103082_2014-07-22_final
2014-09-16 09:52:08	ga_ls8c_ard_3-0-0_095086_2014-09-16_final
2014-10-10 10:34:27	ga_ls8c_ard_3-0-0_103068_2014-10-10_final
2015-02-27 11:02:21	ga_ls8c_ard_3-0-0_107077_2015-02-27_final
2015-05-14 09:51:00	ga_ls8c_ard_3-0-0_095086_2015-05-14_final
2015-08-27 11:20:06	ga_ls8c_ard_3-0-0_110075_2015-08-27_final
2015-10-14 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-10-14_final
2016-04-23 11:16:38	ga_ls8c_ard_3-0-0_110067_2016-04-23_final
2016-04-29 10:42:24	ga_ls8c_ard_3-0-0_104074_2016-04-29_final
2016-09-11 10:49:14	ga_ls8c_ard_3-0-0_105074_2016-09-11_final
2017-03-25 11:17:32	ga_ls8c_ard_3-0-0_110069_2017-03-25_final
2017-04-08 11:30:59	ga_ls8c_ard_3-0-0_112072_2017-04-08_final
2017-05-25 10:50:08	ga_ls8c_ard_3-0-0_105078_2017-05-25_final
2017-06-05 10:33:17	ga_ls8c_ard_3-0-0_102082_2017-06-05_final
2017-07-11 11:46:49	ga_ls8c_ard_3-0-0_114080_2017-07-11_final
2017-07-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2017-07-29_final
2017-11-22 11:08:09	ga_ls8c_ard_3-0-0_108075_2017-11-22_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-03-05 11:13:24	ga_ls8c_ard_3-0-0_109074_2018-03-05_final
2018-08-25 09:06:38	ga_ls8c_ard_3-0-0_088082_2018-08-24_final
2018-09-01 10:48:57	ga_ls8c_ard_3-0-0_105075_2018-09-01_final
2018-12-11 11:07:25	ga_ls8c_ard_3-0-0_108074_2018-12-11_final
2019-03-14 10:35:27	ga_ls8c_ard_3-1-0_103072_2019-03-14_final
2019-05-16 11:31:51	ga_ls8c_ard_3-0-0_112074_2019-05-16_final
2019-08-15 11:17:27	ga_ls8c_ard_3-1-0_109083_2019-08-15_final
2019-08-20 11:30:50	ga_ls8c_ard_3-1-0_112070_2019-08-20_final
2019-10-25 11:20:18	ga_ls8c_ard_3-1-0_110074_2019-10-25_final
2019-10-29 10:55:59	ga_ls8c_ard_3-1-0_106075_2019-10-29_final
2019-11-10 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-11-10_final
2020-01-13 11:17:18	ga_ls8c_ard_3-1-0_110067_2020-01-13_final
2020-03-31 11:31:10	ga_ls8c_ard_3-1-0_112072_2020-03-31_final
2020-05-04 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-04_final
2020-07-27 10:52:19	ga_ls8c_ard_3-1-0_106067_2020-07-27_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2020-10-18 11:29:37	ga_ls8c_ard_3-1-0_111082_2020-10-18_final
2020-10-29 11:07:52	ga_ls8c_ard_3-1-0_108074_2020-10-29_final
2020-11-27 10:34:35	ga_ls8c_ard_3-1-0_103068_2020-11-27_final
2020-12-18 10:53:32	ga_ls8c_ard_3-2-0_106069_2020-12-18_final
2021-04-14 11:13:49	ga_ls8c_ard_3-2-0_109075_2021-04-14_final
2021-04-17 11:47:06	ga_ls8c_ard_3-2-0_114081_2021-04-17_final
2021-05-02 09:22:01	ga_ls8c_ard_3-2-0_091074_2021-05-01_final
2021-05-11 10:55:31	ga_ls8c_ard_3-2-0_106076_2021-05-11_final
2021-06-17 09:39:52	ga_ls8c_ard_3-2-0_093087_2021-06-17_final
2021-06-28 09:21:23	ga_ls8c_ard_3-2-0_090087_2021-06-27_final
2021-07-20 11:57:20	ga_ls8c_ard_3-2-0_116075_2021-07-20_final
2021-08-08 10:49:06	ga_ls8c_ard_3-2-0_105074_2021-08-08_final
2021-08-18 09:52:33	ga_ls8c_ard_3-2-0_095087_2021-08-18_final
2021-08-26 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-08-26_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-11-13 09:57:44	ga_ls8c_ard_3-2-0_096084_2021-11-13_final
2021-12-23 10:44:44	ga_ls8c_ard_3-2-1_104078_2021-12-23_final
2022-01-02 11:19:21	ga_ls8c_ard_3-2-1_110072_2022-01-02_final
2022-01-19 10:27:41	ga_ls8c_ard_3-2-1_101082_2022-01-19_final
2022-01-20 09:28:03	ga_ls8c_ard_3-2-1_092072_2022-01-19_final
2022-01-28 10:21:50	ga_ls8c_ard_3-2-1_100083_2022-01-28_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2022-04-28 09:17:15	ga_ls8c_ard_3-2-1_090077_2022-04-27_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-05-23 09:13:39	ga_ls8c_ard_3-2-1_089083_2022-05-22_final
2022-05-24 11:36:12	ga_ls8c_ard_3-2-1_112084_2022-05-24_final
2022-07-31 09:28:17	ga_ls8c_ard_3-2-1_092072_2022-07-30_final
2022-08-27 10:50:20	ga_ls8c_ard_3-2-1_105076_2022-08-27_final
2022-09-07 10:33:50	ga_ls8c_ard_3-2-1_102081_2022-09-07_final
2022-09-26 09:22:20	ga_ls8c_ard_3-2-1_091072_2022-09-25_final
2022-09-28 10:47:15	ga_ls8c_ard_3-2-1_105068_2022-09-28_final
2022-10-20 10:14:05	ga_ls8c_ard_3-2-1_099078_2022-10-20_final
2022-10-26 09:34:16	ga_ls8c_ard_3-2-1_093071_2022-10-26_final
2022-11-11 11:17:31	ga_ls8c_ard_3-2-1_109082_2022-11-11_final
2023-01-30 09:34:02	ga_ls8c_ard_3-2-1_093071_2023-01-30_final
2023-02-04 09:58:09	ga_ls8c_ard_3-2-1_096085_2023-02-04_final
2023-03-01 11:28:56	ga_ls8c_ard_3-2-1_111081_2023-03-01_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-04-06 09:21:22	ga_ls8c_ard_3-2-1_091072_2023-04-05_final
2023-04-13 09:27:25	ga_ls8c_ard_3-2-1_092072_2023-04-12_final
2023-05-17 10:54:50	ga_ls8c_ard_3-2-1_106075_2023-05-17_final
2023-05-22 11:13:25	ga_ls8c_ard_3-2-1_109075_2023-05-22_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-07-23 11:23:26	ga_ls8c_ard_3-2-1_111068_2023-07-23_final
2023-08-27 10:17:18	ga_ls8c_ard_3-2-1_100072_2023-08-27_final
2023-09-09 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-09-09_final
2023-10-04 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-10-04_final
2023-10-17 10:49:33	ga_ls8c_ard_3-2-1_105075_2023-10-17_final
2023-10-30 10:17:07	ga_ls8c_ard_3-2-1_100071_2023-10-30_final
2023-11-28 11:25:07	ga_ls8c_ard_3-2-1_111071_2023-11-28_final
2023-11-28 11:25:31	ga_ls8c_ard_3-2-1_111072_2023-11-28_final
2023-12-26 10:12:55	ga_ls8c_ard_3-2-1_099076_2023-12-26_final
2024-01-28 09:18:18	ga_ls8c_ard_3-2-1_090079_2024-01-27_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-02-01 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-01_final
2024-02-04 09:22:34	ga_ls8c_ard_3-2-1_091074_2024-02-03_final
2024-02-17 10:33:19	ga_ls8c_ard_3-2-1_102081_2024-02-17_final
2024-02-20 09:22:57	ga_ls8c_ard_3-2-1_091075_2024-02-19_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