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
2013-12-26 10:40:53	ga_ls8c_ard_3-0-0_103081_2013-12-26_final
2014-01-06 10:18:14	ga_ls8c_ard_3-0-0_100071_2014-01-06_final
2014-03-05 10:53:22	ga_ls8c_ard_3-0-0_106068_2014-03-05_final
2014-07-14 11:25:33	ga_ls8c_ard_3-0-0_111073_2014-07-14_final
2014-10-21 10:17:08	ga_ls8c_ard_3-0-0_100071_2014-10-21_final
2015-06-18 10:16:36	ga_ls8c_ard_3-0-0_100072_2015-06-18_final
2015-07-27 10:22:42	ga_ls8c_ard_3-0-0_101071_2015-07-27_final
2015-09-25 10:49:00	ga_ls8c_ard_3-0-0_105074_2015-09-25_final
2015-11-14 10:37:57	ga_ls8c_ard_3-0-0_103077_2015-11-14_final
2016-04-23 11:17:26	ga_ls8c_ard_3-0-0_110069_2016-04-23_final
2016-05-12 11:50:44	ga_ls8c_ard_3-0-0_115075_2016-05-12_final
2016-06-27 10:22:54	ga_ls8c_ard_3-0-0_101071_2016-06-27_final
2016-11-05 10:53:08	ga_ls8c_ard_3-0-0_106068_2016-11-05_final
2017-01-14 10:17:28	ga_ls8c_ard_3-0-0_100072_2017-01-14_final
2017-02-18 10:47:44	ga_ls8c_ard_3-0-0_105071_2017-02-18_final
2017-03-08 10:36:26	ga_ls8c_ard_3-0-0_103074_2017-03-08_final
2017-03-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2017-03-24_final
2017-05-19 11:23:10	ga_ls8c_ard_3-0-0_111068_2017-05-19_final
2017-05-19 11:29:09	ga_ls8c_ard_3-0-0_111083_2017-05-19_final
2017-06-25 11:41:35	ga_ls8c_ard_3-0-0_114067_2017-06-25_final
2017-07-04 11:42:13	ga_ls8c_ard_3-0-0_113084_2017-07-04_final
2017-09-24 11:26:16	ga_ls8c_ard_3-0-0_111074_2017-09-24_final
2017-12-06 11:19:15	ga_ls8c_ard_3-0-0_110072_2017-12-06_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2018-02-08 11:16:57	ga_ls8c_ard_3-0-0_110067_2018-02-08_final
2018-03-03 11:23:47	ga_ls8c_ard_3-0-0_111069_2018-03-03_final
2018-03-11 10:37:51	ga_ls8c_ard_3-0-0_103078_2018-03-11_final
2018-03-22 10:21:13	ga_ls8c_ard_3-0-0_100083_2018-03-22_final
2018-03-30 11:07:24	ga_ls8c_ard_3-0-0_108075_2018-03-30_final
2018-05-22 11:23:01	ga_ls8c_ard_3-0-0_111069_2018-05-22_final
2018-07-16 11:29:03	ga_ls8c_ard_3-0-0_112068_2018-07-16_final
2018-09-01 10:45:46	ga_ls8c_ard_3-0-0_105067_2018-09-01_final
2019-02-02 11:25:27	ga_ls8c_ard_3-0-0_111073_2019-02-02_final
2019-02-11 11:20:03	ga_ls8c_ard_3-0-0_110075_2019-02-11_final
2019-03-23 10:28:03	ga_ls8c_ard_3-1-0_102069_2019-03-23_final
2019-04-27 11:04:45	ga_ls8c_ard_3-0-0_107084_2019-04-27_final
2019-08-29 11:26:17	ga_ls8c_ard_3-1-0_111074_2019-08-29_final
2019-09-01 10:17:06	ga_ls8c_ard_3-1-0_100071_2019-09-01_final
2019-10-19 10:22:05	ga_ls8c_ard_3-1-0_100083_2019-10-19_final
2019-11-20 10:19:13	ga_ls8c_ard_3-1-0_100076_2019-11-20_final
2019-11-23 10:49:19	ga_ls8c_ard_3-1-0_105074_2019-11-23_final
2019-12-18 10:46:18	ga_ls8c_ard_3-2-0_104082_2019-12-18_final
2019-12-19 11:25:58	ga_ls8c_ard_3-2-0_111073_2019-12-19_final
2020-01-22 11:11:52	ga_ls8c_ard_3-1-0_109069_2020-01-22_final
2020-02-18 10:52:49	ga_ls8c_ard_3-1-0_106068_2020-02-18_final
2020-02-22 10:28:04	ga_ls8c_ard_3-1-0_102068_2020-02-22_final
2020-03-30 10:49:31	ga_ls8c_ard_3-1-0_105076_2020-03-30_final
2020-05-02 11:30:07	ga_ls8c_ard_3-1-0_112070_2020-05-02_final
2020-05-21 10:27:19	ga_ls8c_ard_3-1-0_101083_2020-05-21_final
2020-06-09 10:55:34	ga_ls8c_ard_3-1-0_106076_2020-06-09_final
2020-07-07 11:23:43	ga_ls8c_ard_3-1-0_110084_2020-07-07_final
2020-07-27 10:52:19	ga_ls8c_ard_3-1-0_106067_2020-07-27_final
2020-07-27 10:55:55	ga_ls8c_ard_3-1-0_106076_2020-07-27_final
2020-07-27 10:57:30	ga_ls8c_ard_3-1-0_106080_2020-07-27_final
2020-08-05 10:52:33	ga_ls8c_ard_3-1-0_105083_2020-08-05_final
2020-08-07 10:34:13	ga_ls8c_ard_3-1-0_103068_2020-08-07_final
2021-01-31 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-01-31_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-02-13 10:49:05	ga_ls8c_ard_3-2-0_105074_2021-02-13_final
2021-03-01 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-03-01_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-04-16 10:59:27	ga_ls8c_ard_3-2-0_107070_2021-04-16_final
2021-04-24 10:15:08	ga_ls8c_ard_3-2-0_099083_2021-04-24_final
2021-05-11 10:55:31	ga_ls8c_ard_3-2-0_106076_2021-05-11_final
2021-08-16 10:04:06	ga_ls8c_ard_3-2-0_097085_2021-08-16_final
2021-10-31 10:28:18	ga_ls8c_ard_3-2-0_101083_2021-10-31_final
2021-11-04 11:38:04	ga_ls8c_ard_3-2-0_113072_2021-11-04_final
2021-11-14 10:37:24	ga_ls8c_ard_3-2-0_103075_2021-11-14_final
2021-11-26 09:29:13	ga_ls8c_ard_3-2-0_091090_2021-11-25_final
2021-12-05 10:56:21	ga_ls8c_ard_3-2-1_106076_2021-12-05_final
2021-12-14 10:46:57	ga_ls8c_ard_3-2-1_105068_2021-12-14_final
2022-01-20 11:11:44	ga_ls8c_ard_3-2-1_108084_2022-01-20_final
2022-04-04 10:09:05	ga_ls8c_ard_3-2-1_098083_2022-04-04_final
2022-04-22 09:52:24	ga_ls8c_ard_3-2-1_096072_2022-04-22_final
2022-05-07 09:13:34	ga_ls8c_ard_3-2-1_089083_2022-05-06_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-07-12 10:36:04	ga_ls8c_ard_3-2-1_103072_2022-07-12_final
2022-10-08 09:46:35	ga_ls8c_ard_3-2-1_095071_2022-10-08_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-10-29 10:10:46	ga_ls8c_ard_3-2-1_098085_2022-10-29_final
2022-11-02 09:40:52	ga_ls8c_ard_3-2-1_094072_2022-11-02_final
2022-11-15 10:47:10	ga_ls8c_ard_3-2-1_105068_2022-11-15_final
2022-11-27 11:18:16	ga_ls8c_ard_3-2-1_109084_2022-11-27_final
2023-02-17 11:01:36	ga_ls8c_ard_3-2-1_107074_2023-02-17_final
2023-03-08 11:31:27	ga_ls8c_ard_3-2-1_112072_2023-03-08_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-04-10 10:33:50	ga_ls8c_ard_3-2-1_103068_2023-04-10_final
2023-04-10 10:34:38	ga_ls8c_ard_3-2-1_103070_2023-04-10_final
2023-05-02 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-05-02_final
2023-07-04 10:55:13	ga_ls8c_ard_3-2-1_106075_2023-07-04_final
2023-09-09 11:25:41	ga_ls8c_ard_3-2-1_111073_2023-09-09_final
2023-10-05 10:25:59	ga_ls8c_ard_3-2-1_101078_2023-10-05_final
2023-10-16 11:44:47	ga_ls8c_ard_3-2-1_114074_2023-10-16_final
2023-11-05 09:46:24	ga_ls8c_ard_3-2-1_094087_2023-11-05_final
2023-11-18 09:12:20	ga_ls8c_ard_3-2-1_089079_2023-11-17_final
2023-12-14 09:52:34	ga_ls8c_ard_3-2-1_095087_2023-12-14_final
2024-01-05 09:10:35	ga_ls8c_ard_3-2-1_089075_2024-01-04_final
2024-01-06 11:32:21	ga_ls8c_ard_3-2-1_112074_2024-01-06_final
2024-01-21 09:12:12	ga_ls8c_ard_3-2-1_089079_2024-01-20_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_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