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
2013-04-24 11:15:53	ga_ls8c_ard_3-0-0_109075_2013-04-24_final
2013-06-21 11:53:07	ga_ls8c_ard_3-0-0_115075_2013-06-21_final
2013-06-27 11:14:05	ga_ls8c_ard_3-0-0_109070_2013-06-27_final
2013-07-23 11:53:10	ga_ls8c_ard_3-0-0_115075_2013-07-23_final
2014-01-05 11:13:05	ga_ls8c_ard_3-0-0_109069_2014-01-05_final
2014-04-23 11:39:55	ga_ls8c_ard_3-0-0_113078_2014-04-23_final
2014-07-05 11:29:17	ga_ls8c_ard_3-0-0_112067_2014-07-05_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-05-27 10:55:27	ga_ls8c_ard_3-0-0_106077_2015-05-27_final
2015-06-06 11:29:52	ga_ls8c_ard_3-0-0_112070_2015-06-06_final
2015-10-22 10:33:19	ga_ls8c_ard_3-0-0_102081_2015-10-22_final
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2016-01-22 10:52:52	ga_ls8c_ard_3-0-0_106068_2016-01-22_final
2016-02-26 09:46:42	ga_ls8c_ard_3-0-0_095073_2016-02-26_final
2017-01-02 11:31:41	ga_ls8c_ard_3-0-0_112072_2017-01-02_final
2017-04-10 09:39:44	ga_ls8c_ard_3-0-0_094072_2017-04-10_final
2017-04-26 11:23:14	ga_ls8c_ard_3-0-0_110084_2017-04-26_final
2017-05-11 10:38:49	ga_ls8c_ard_3-0-0_103081_2017-05-11_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-10-17 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-10-17_final
2017-10-22 11:52:42	ga_ls8c_ard_3-0-0_115078_2017-10-22_final
2017-11-20 09:40:03	ga_ls8c_ard_3-0-0_094071_2017-11-20_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-09-17 10:51:49	ga_ls8c_ard_3-0-0_105082_2018-09-17_final
2019-02-02 11:23:28	ga_ls8c_ard_3-0-0_111068_2019-02-02_final
2019-02-11 09:39:59	ga_ls8c_ard_3-0-0_094072_2019-02-11_final
2019-03-24 11:11:18	ga_ls8c_ard_3-1-0_109069_2019-03-24_final
2019-03-28 10:49:22	ga_ls8c_ard_3-1-0_105076_2019-03-28_final
2019-08-13 11:24:13	ga_ls8c_ard_3-1-0_111069_2019-08-13_final
2019-08-24 11:06:07	ga_ls8c_ard_3-1-0_108070_2019-08-24_final
2019-09-09 11:08:11	ga_ls8c_ard_3-1-0_108075_2019-09-09_final
2019-09-25 11:08:16	ga_ls8c_ard_3-1-0_108075_2019-09-25_final
2019-10-01 10:28:25	ga_ls8c_ard_3-1-0_102068_2019-10-01_final
2019-10-26 10:28:16	ga_ls8c_ard_3-1-0_101083_2019-10-26_final
2019-10-29 10:55:59	ga_ls8c_ard_3-1-0_106075_2019-10-29_final
2020-01-11 11:29:40	ga_ls8c_ard_3-1-0_112067_2020-01-11_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-02-07 11:11:47	ga_ls8c_ard_3-1-0_109069_2020-02-07_final
2020-02-21 11:25:42	ga_ls8c_ard_3-1-0_111073_2020-02-21_final
2020-04-11 11:13:21	ga_ls8c_ard_3-1-0_109074_2020-04-11_final
2020-04-22 10:52:20	ga_ls8c_ard_3-1-0_106068_2020-04-22_final
2020-05-17 10:49:14	ga_ls8c_ard_3-1-0_105076_2020-05-17_final
2020-06-13 10:27:42	ga_ls8c_ard_3-1-0_102068_2020-06-13_final
2020-06-20 10:39:08	ga_ls8c_ard_3-1-0_103081_2020-06-20_final
2020-08-08 09:46:11	ga_ls8c_ard_3-1-0_094087_2020-08-08_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-10-22 11:02:06	ga_ls8c_ard_3-1-0_107075_2020-10-22_final
2020-12-14 11:17:28	ga_ls8c_ard_3-1-0_110067_2020-12-14_final
2020-12-19 11:35:59	ga_ls8c_ard_3-2-0_113067_2020-12-19_final
2020-12-20 10:40:46	ga_ls8c_ard_3-2-0_104068_2020-12-20_final
2021-03-29 11:13:31	ga_ls8c_ard_3-2-0_109074_2021-03-29_final
2021-04-17 10:09:25	ga_ls8c_ard_3-2-0_098084_2021-04-17_final
2021-05-01 10:19:15	ga_ls8c_ard_3-2-0_100078_2021-05-01_final
2021-05-30 09:44:08	ga_ls8c_ard_3-2-0_095067_2021-05-30_final
2021-07-23 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-07-23_final
2021-07-29 10:13:09	ga_ls8c_ard_3-2-0_099077_2021-07-29_final
2021-09-03 09:47:02	ga_ls8c_ard_3-2-0_095073_2021-09-03_final
2021-11-27 10:10:05	ga_ls8c_ard_3-2-0_098084_2021-11-27_final
2021-12-21 10:56:18	ga_ls8c_ard_3-2-1_106076_2021-12-21_final
2022-01-05 10:10:58	ga_ls8c_ard_3-2-1_099071_2022-01-05_final
2022-01-31 10:47:09	ga_ls8c_ard_3-2-1_105069_2022-01-31_final
2022-02-12 09:34:56	ga_ls8c_ard_3-2-1_093074_2022-02-12_final
2022-02-16 10:47:05	ga_ls8c_ard_3-2-1_105069_2022-02-16_final
2022-02-25 10:40:27	ga_ls8c_ard_3-2-1_104068_2022-02-25_final
2022-02-28 11:11:45	ga_ls8c_ard_3-2-1_109069_2022-02-28_final
2022-03-01 10:19:19	ga_ls8c_ard_3-2-1_100077_2022-03-01_final
2022-03-07 11:18:18	ga_ls8c_ard_3-2-1_110070_2022-03-07_final
2022-03-20 10:48:53	ga_ls8c_ard_3-2-1_105074_2022-03-20_final
2022-03-24 10:27:18	ga_ls8c_ard_3-2-1_101082_2022-03-24_final
2022-03-27 10:55:22	ga_ls8c_ard_3-2-1_106075_2022-03-27_final
2022-04-21 10:49:37	ga_ls8c_ard_3-2-1_105076_2022-04-21_final
2022-06-08 10:46:18	ga_ls8c_ard_3-2-1_105067_2022-06-08_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-07-17 10:53:02	ga_ls8c_ard_3-2-1_106068_2022-07-17_final
2022-07-20 09:47:05	ga_ls8c_ard_3-2-1_095073_2022-07-20_final
2022-08-14 09:46:20	ga_ls8c_ard_3-2-1_094086_2022-08-14_final
2022-08-30 11:20:50	ga_ls8c_ard_3-2-1_110075_2022-08-30_final
2022-09-26 09:27:55	ga_ls8c_ard_3-2-1_091086_2022-09-25_final
2022-09-28 09:11:10	ga_ls8c_ard_3-2-1_089075_2022-09-27_final
2022-11-02 09:40:28	ga_ls8c_ard_3-2-1_094071_2022-11-02_final
2022-11-13 09:29:27	ga_ls8c_ard_3-2-1_091090_2022-11-12_final
2022-11-22 10:53:20	ga_ls8c_ard_3-2-1_106068_2022-11-22_final
2022-12-27 11:24:54	ga_ls8c_ard_3-2-1_111070_2022-12-27_final
2023-01-10 09:57:09	ga_ls8c_ard_3-2-1_097067_2023-01-10_final
2023-02-13 11:26:22	ga_ls8c_ard_3-2-1_111074_2023-02-13_final
2023-03-13 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-03-13_final
2023-04-10 10:35:25	ga_ls8c_ard_3-2-1_103072_2023-04-10_final
2023-04-15 10:52:44	ga_ls8c_ard_3-2-1_106069_2023-04-15_final
2023-04-25 11:30:59	ga_ls8c_ard_3-2-1_112072_2023-04-25_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-07-07 11:23:46	ga_ls8c_ard_3-2-1_111069_2023-07-07_final
2023-07-11 09:28:34	ga_ls8c_ard_3-2-1_091090_2023-07-10_final
2023-08-08 11:23:57	ga_ls8c_ard_3-2-1_111069_2023-08-08_final
2023-08-20 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-08-20_final
2023-10-27 11:24:18	ga_ls8c_ard_3-2-1_111069_2023-10-27_final
2023-11-02 09:10:44	ga_ls8c_ard_3-2-1_089075_2023-11-01_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2024-02-16 11:24:09	ga_ls8c_ard_3-2-1_111069_2024-02-16_final
2024-03-28 09:39:25	ga_ls8c_ard_3-2-1_094071_2024-03-28_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