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
2013-09-13 11:25:41	ga_ls8c_ard_3-0-0_111068_2013-09-13_final
2013-09-27 11:37:31	ga_ls8c_ard_3-0-0_113067_2013-09-27_final
2013-10-29 11:37:22	ga_ls8c_ard_3-0-0_113067_2013-10-29_final
2013-11-30 11:37:16	ga_ls8c_ard_3-0-0_113067_2013-11-30_final
2013-12-16 11:37:11	ga_ls8c_ard_3-0-0_113067_2013-12-16_final
2014-03-06 11:36:13	ga_ls8c_ard_3-0-0_113067_2014-03-06_final
2014-04-25 11:23:32	ga_ls8c_ard_3-0-0_111068_2014-04-25_final
2014-08-15 11:23:45	ga_ls8c_ard_3-0-0_111068_2014-08-15_final
2014-09-30 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-09-30_final
2014-12-05 11:23:51	ga_ls8c_ard_3-0-0_111068_2014-12-05_final
2015-04-28 11:22:58	ga_ls8c_ard_3-0-0_111068_2015-04-28_final
2015-06-13 11:34:55	ga_ls8c_ard_3-0-0_113067_2015-06-13_final
2015-08-16 11:35:22	ga_ls8c_ard_3-0-0_113067_2015-08-16_final
2015-12-01 09:39:58	ga_ls8c_ard_3-0-0_094071_2015-12-01_final
2015-12-06 11:35:47	ga_ls8c_ard_3-0-0_113067_2015-12-06_final
2015-12-13 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-13_final
2016-01-07 11:35:43	ga_ls8c_ard_3-0-0_113067_2016-01-07_final
2016-01-09 11:25:45	ga_ls8c_ard_3-0-0_111073_2016-01-09_final
2016-01-23 11:35:44	ga_ls8c_ard_3-0-0_113067_2016-01-23_final
2016-10-05 11:35:55	ga_ls8c_ard_3-0-0_113067_2016-10-05_final
2016-11-06 11:35:59	ga_ls8c_ard_3-0-0_113067_2016-11-06_final
2016-11-22 11:36:00	ga_ls8c_ard_3-0-0_113067_2016-11-22_final
2016-12-13 08:42:42	ga_ls8c_ard_3-2-1_084082_2016-12-12_final
2017-04-15 11:35:07	ga_ls8c_ard_3-0-0_113067_2017-04-15_final
2017-05-19 11:23:10	ga_ls8c_ard_3-0-0_111068_2017-05-19_final
2017-08-05 11:35:39	ga_ls8c_ard_3-0-0_113067_2017-08-05_final
2017-10-26 11:24:00	ga_ls8c_ard_3-0-0_111068_2017-10-26_final
2017-11-14 11:58:50	ga_ls8c_ard_3-0-0_116078_2017-11-14_final
2018-05-04 11:34:47	ga_ls8c_ard_3-0-0_113067_2018-05-04_final
2018-06-14 11:31:09	ga_ls8c_ard_3-0-0_112074_2018-06-14_final
2018-07-30 11:41:07	ga_ls8c_ard_3-0-0_114067_2018-07-30_final
2018-08-08 11:35:01	ga_ls8c_ard_3-0-0_113067_2018-08-08_final
2018-10-13 11:23:31	ga_ls8c_ard_3-0-0_111068_2018-10-13_final
2019-02-21 11:58:18	ga_ls8c_ard_3-0-0_116078_2019-02-21_final
2019-06-26 11:23:34	ga_ls8c_ard_3-1-0_111068_2019-06-26_final
2019-08-11 11:35:46	ga_ls8c_ard_3-1-0_113067_2019-08-11_final
2019-11-15 11:36:00	ga_ls8c_ard_3-1-0_113067_2019-11-15_final
2020-01-18 11:35:49	ga_ls8c_ard_3-1-0_113067_2020-01-18_final
2020-02-19 11:35:40	ga_ls8c_ard_3-1-0_113067_2020-02-19_final
2020-05-27 11:23:09	ga_ls8c_ard_3-1-0_111068_2020-05-27_final
2020-10-05 11:58:54	ga_ls8c_ard_3-1-0_116078_2020-10-05_final
2021-03-06 09:33:47	ga_ls8c_ard_3-2-0_092087_2021-03-06_final
2021-04-25 09:17:06	ga_ls8c_ard_3-2-0_090077_2021-04-24_final
2021-05-12 10:01:54	ga_ls8c_ard_3-2-0_097081_2021-05-12_final
2021-06-28 09:21:47	ga_ls8c_ard_3-2-0_090088_2021-06-27_final
2021-07-10 11:17:01	ga_ls8c_ard_3-2-0_110067_2021-07-10_final
2021-07-12 11:05:27	ga_ls8c_ard_3-2-0_108069_2021-07-12_final
2021-07-26 11:17:07	ga_ls8c_ard_3-2-0_110067_2021-07-26_final
2021-09-03 11:23:56	ga_ls8c_ard_3-2-0_111068_2021-09-03_final
2021-09-06 11:58:50	ga_ls8c_ard_3-2-0_116078_2021-09-06_final
2021-09-30 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-09-30_final
2021-10-03 11:41:13	ga_ls8c_ard_3-2-0_113080_2021-10-03_final
2021-10-14 11:17:32	ga_ls8c_ard_3-2-0_110067_2021-10-14_final
2021-10-23 11:14:33	ga_ls8c_ard_3-2-0_109075_2021-10-23_final
2021-10-23 11:14:57	ga_ls8c_ard_3-2-0_109076_2021-10-23_final
2021-11-09 11:58:58	ga_ls8c_ard_3-2-0_116078_2021-11-09_final
2021-11-19 09:18:14	ga_ls8c_ard_3-2-0_090078_2021-11-18_final
2021-11-19 09:19:01	ga_ls8c_ard_3-2-0_090080_2021-11-18_final
2021-12-14 09:12:28	ga_ls8c_ard_3-2-1_089079_2021-12-13_final
2022-02-09 10:45:44	ga_ls8c_ard_3-2-1_104081_2022-02-09_final
2022-02-19 11:19:57	ga_ls8c_ard_3-2-1_110074_2022-02-19_final
2022-02-26 11:25:19	ga_ls8c_ard_3-2-1_111072_2022-02-26_final
2022-04-10 11:08:33	ga_ls8c_ard_3-2-1_108077_2022-04-10_final
2022-04-24 11:19:42	ga_ls8c_ard_3-2-1_110074_2022-04-24_final
2022-07-18 10:02:36	ga_ls8c_ard_3-2-1_097081_2022-07-18_final
2022-07-22 11:15:14	ga_ls8c_ard_3-2-1_109077_2022-07-22_final
2022-07-29 11:21:54	ga_ls8c_ard_3-2-1_110078_2022-07-29_final
2022-08-25 11:04:18	ga_ls8c_ard_3-2-1_107080_2022-08-25_final
2022-08-26 10:10:16	ga_ls8c_ard_3-2-1_098084_2022-08-26_final
2022-08-30 11:20:26	ga_ls8c_ard_3-2-1_110074_2022-08-30_final
2022-09-29 11:34:54	ga_ls8c_ard_3-2-1_112079_2022-09-29_final
2022-10-06 10:04:33	ga_ls8c_ard_3-2-1_097085_2022-10-06_final
2022-10-20 10:11:18	ga_ls8c_ard_3-2-1_099071_2022-10-20_final
2022-10-28 11:03:36	ga_ls8c_ard_3-2-1_107078_2022-10-28_final
2022-10-30 10:50:50	ga_ls8c_ard_3-2-1_105077_2022-10-30_final
2022-11-21 10:14:51	ga_ls8c_ard_3-2-1_099080_2022-11-21_final
2022-12-19 10:40:16	ga_ls8c_ard_3-2-1_103082_2022-12-19_final
2022-12-20 11:20:43	ga_ls8c_ard_3-2-1_110075_2022-12-20_final
2023-01-26 10:04:19	ga_ls8c_ard_3-2-1_097085_2023-01-26_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-03-26 11:20:32	ga_ls8c_ard_3-2-1_110076_2023-03-26_final
2023-04-11 11:19:52	ga_ls8c_ard_3-2-1_110075_2023-04-11_final
2023-05-06 11:14:20	ga_ls8c_ard_3-2-1_109077_2023-05-06_final
2023-05-22 11:14:13	ga_ls8c_ard_3-2-1_109077_2023-05-22_final
2023-05-31 11:09:39	ga_ls8c_ard_3-2-1_108081_2023-05-31_final
2023-06-08 08:41:49	ga_ls8c_ard_3-2-1_084082_2023-06-07_final
2023-06-16 11:08:12	ga_ls8c_ard_3-2-1_108077_2023-06-16_final
2023-07-18 11:08:27	ga_ls8c_ard_3-2-1_108077_2023-07-18_final
2023-07-25 11:14:41	ga_ls8c_ard_3-2-1_109077_2023-07-25_final
2023-08-08 11:28:20	ga_ls8c_ard_3-2-1_111080_2023-08-08_final
2023-08-12 11:02:50	ga_ls8c_ard_3-2-1_107078_2023-08-12_final
2023-08-26 11:14:07	ga_ls8c_ard_3-2-1_109075_2023-08-26_final
2023-08-31 09:57:46	ga_ls8c_ard_3-2-1_096085_2023-08-31_final
2023-09-11 11:14:56	ga_ls8c_ard_3-2-1_109077_2023-09-11_final
2023-12-11 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-12-11_final
2024-01-10 09:30:46	ga_ls8c_ard_3-2-1_092079_2024-01-10_final
2024-01-29 10:03:59	ga_ls8c_ard_3-2-1_097085_2024-01-29_final
2024-02-02 11:14:36	ga_ls8c_ard_3-2-1_109076_2024-02-02_final
2024-02-18 11:14:35	ga_ls8c_ard_3-2-1_109076_2024-02-18_final
2024-03-01 10:03:55	ga_ls8c_ard_3-2-1_097085_2024-03-01_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