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
2013-05-20 10:15:56	ga_ls8c_ard_3-0-0_099079_2013-05-20_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-08-25 09:19:09	ga_ls8c_ard_3-0-0_090076_2013-08-24_final
2013-10-20 10:11:33	ga_ls8c_ard_3-0-0_098084_2013-10-20_final
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2014-03-04 10:14:05	ga_ls8c_ard_3-0-0_099078_2014-03-04_final
2014-03-25 10:29:11	ga_ls8c_ard_3-0-0_102070_2014-03-25_final
2014-11-19 11:24:16	ga_ls8c_ard_3-0-0_111069_2014-11-19_final
2015-01-12 10:47:03	ga_ls8c_ard_3-0-0_105069_2015-01-12_final
2015-01-17 11:05:34	ga_ls8c_ard_3-0-0_108069_2015-01-17_final
2015-03-08 09:16:47	ga_ls8c_ard_3-0-0_090076_2015-03-07_final
2015-04-12 09:46:11	ga_ls8c_ard_3-0-0_095073_2015-04-12_final
2015-05-26 10:09:47	ga_ls8c_ard_3-0-0_099071_2015-05-26_final
2015-09-19 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-09-19_final
2015-09-25 09:13:18	ga_ls8c_ard_3-0-0_089082_2015-09-24_final
2016-01-16 11:30:45	ga_ls8c_ard_3-0-0_112070_2016-01-16_final
2016-02-12 11:11:42	ga_ls8c_ard_3-0-0_109069_2016-02-12_final
2016-03-09 10:16:11	ga_ls8c_ard_3-0-0_099085_2016-03-09_final
2016-03-10 09:16:34	ga_ls8c_ard_3-0-0_090075_2016-03-09_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-05-09 09:43:47	ga_ls8c_ard_3-0-0_094082_2016-05-09_final
2016-09-09 09:24:18	ga_ls8c_ard_3-0-0_091078_2016-09-08_final
2016-10-07 09:44:42	ga_ls8c_ard_3-0-0_095067_2016-10-07_final
2016-12-01 09:50:55	ga_ls8c_ard_3-0-0_096067_2016-12-01_final
2016-12-12 09:34:44	ga_ls8c_ard_3-0-0_093073_2016-12-12_final
2017-02-04 10:34:16	ga_ls8c_ard_3-0-0_103068_2017-02-04_final
2017-02-09 09:17:04	ga_ls8c_ard_3-0-0_090076_2017-02-08_final
2017-03-19 10:16:59	ga_ls8c_ard_3-0-0_100072_2017-03-19_final
2017-03-28 10:10:20	ga_ls8c_ard_3-0-0_099071_2017-03-28_final
2017-04-14 10:58:14	ga_ls8c_ard_3-0-0_106083_2017-04-14_final
2017-04-25 10:38:47	ga_ls8c_ard_3-0-0_103081_2017-04-25_final
2017-08-18 11:08:00	ga_ls8c_ard_3-0-0_108075_2017-08-18_final
2017-12-03 10:46:45	ga_ls8c_ard_3-0-0_105068_2017-12-03_final
2018-01-19 10:07:21	ga_ls8c_ard_3-0-0_098078_2018-01-19_final
2018-05-12 09:10:46	ga_ls8c_ard_3-0-0_089078_2018-05-11_final
2018-06-19 10:12:51	ga_ls8c_ard_3-0-0_099079_2018-06-19_final
2018-06-25 09:33:02	ga_ls8c_ard_3-0-0_093072_2018-06-25_final
2018-07-11 11:12:52	ga_ls8c_ard_3-0-0_109074_2018-07-11_final
2018-09-01 09:11:40	ga_ls8c_ard_3-0-0_089079_2018-08-31_final
2018-11-05 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-05_final
2018-11-30 09:52:18	ga_ls8c_ard_3-0-0_095087_2018-11-30_final
2019-01-08 09:50:27	ga_ls8c_ard_3-0-0_096067_2019-01-08_final
2019-01-08 11:31:20	ga_ls8c_ard_3-0-0_112072_2019-01-08_final
2019-01-13 10:13:22	ga_ls8c_ard_3-0-0_099078_2019-01-13_final
2019-02-27 11:17:36	ga_ls8c_ard_3-0-0_110069_2019-02-27_final
2019-03-08 11:16:33	ga_ls8c_ard_3-1-0_109082_2019-03-08_final
2019-03-24 09:38:48	ga_ls8c_ard_3-1-0_093085_2019-03-24_final
2019-04-07 09:51:30	ga_ls8c_ard_3-1-0_095086_2019-04-07_final
2019-04-22 09:06:33	ga_ls8c_ard_3-0-0_088082_2019-04-21_final
2019-05-31 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-05-31_final
2019-06-23 10:55:27	ga_ls8c_ard_3-1-0_106075_2019-06-23_final
2019-07-02 10:48:55	ga_ls8c_ard_3-1-0_105074_2019-07-02_final
2019-10-22 09:16:30	ga_ls8c_ard_3-1-0_089089_2019-10-21_final
2019-10-23 09:51:47	ga_ls8c_ard_3-1-0_096069_2019-10-23_final
2019-12-07 09:27:59	ga_ls8c_ard_3-1-0_091087_2019-12-06_final
2019-12-11 10:36:09	ga_ls8c_ard_3-1-0_103072_2019-12-11_final
2019-12-12 09:38:32	ga_ls8c_ard_3-1-0_094067_2019-12-12_final
2020-01-03 10:42:38	ga_ls8c_ard_3-1-0_104073_2020-01-03_final
2020-05-31 09:26:21	ga_ls8c_ard_3-1-0_091085_2020-05-30_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-06-21 11:17:37	ga_ls8c_ard_3-1-0_110069_2020-06-21_final
2020-08-11 10:13:06	ga_ls8c_ard_3-1-0_099077_2020-08-11_final
2020-08-17 11:14:33	ga_ls8c_ard_3-1-0_109076_2020-08-17_final
2020-10-09 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-09_final
2020-10-18 09:46:20	ga_ls8c_ard_3-1-0_095071_2020-10-18_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-11-26 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-11-26_final
2021-01-01 09:33:44	ga_ls8c_ard_3-2-0_092086_2021-01-01_final
2021-01-10 09:20:18	ga_ls8c_ard_3-2-0_091068_2021-01-09_final
2021-01-29 11:31:36	ga_ls8c_ard_3-2-0_112072_2021-01-29_final
2021-04-12 11:28:35	ga_ls8c_ard_3-2-0_111081_2021-04-12_final
2021-04-14 09:33:44	ga_ls8c_ard_3-2-0_093072_2021-04-14_final
2021-04-14 09:34:08	ga_ls8c_ard_3-2-0_093073_2021-04-14_final
2021-06-21 09:15:34	ga_ls8c_ard_3-2-0_089088_2021-06-20_final
2021-06-23 10:34:31	ga_ls8c_ard_3-2-0_103069_2021-06-23_final
2021-07-19 11:13:40	ga_ls8c_ard_3-2-0_109074_2021-07-19_final
2021-08-24 09:16:18	ga_ls8c_ard_3-2-0_089089_2021-08-23_final
2021-09-06 10:19:57	ga_ls8c_ard_3-2-0_100078_2021-09-06_final
2021-10-27 09:12:33	ga_ls8c_ard_3-2-0_089079_2021-10-26_final
2022-01-16 11:32:29	ga_ls8c_ard_3-2-1_112074_2022-01-16_final
2022-01-22 09:17:17	ga_ls8c_ard_3-2-1_090076_2022-01-21_final
2022-04-17 09:33:29	ga_ls8c_ard_3-2-1_093071_2022-04-17_final
2022-04-19 10:59:36	ga_ls8c_ard_3-2-1_107070_2022-04-19_final
2022-05-07 10:48:52	ga_ls8c_ard_3-2-1_105074_2022-05-07_final
2022-06-07 10:03:26	ga_ls8c_ard_3-2-1_098068_2022-06-07_final
2022-07-04 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-07-04_final
2022-09-12 09:11:08	ga_ls8c_ard_3-2-1_089075_2022-09-11_final
2022-11-25 11:24:15	ga_ls8c_ard_3-2-1_111068_2022-11-25_final
2023-01-08 10:11:31	ga_ls8c_ard_3-2-1_099072_2023-01-08_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-08-04 10:10:35	ga_ls8c_ard_3-2-1_099071_2023-08-04_final
2023-11-21 11:20:09	ga_ls8c_ard_3-2-1_110074_2023-11-21_final
2023-12-18 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-12-17_final
2024-01-19 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-19_final
2024-01-21 09:12:12	ga_ls8c_ard_3-2-1_089079_2024-01-20_final
2024-02-04 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-02-04_final
2024-02-06 09:14:13	ga_ls8c_ard_3-2-1_089084_2024-02-05_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years