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
2013-04-20 11:40:15	ga_ls8c_ard_3-0-0_113074_2013-04-20_final
2013-06-09 11:27:42	ga_ls8c_ard_3-0-0_111073_2013-06-09_final
2013-06-17 10:37:48	ga_ls8c_ard_3-0-0_103072_2013-06-17_final
2013-07-25 11:40:25	ga_ls8c_ard_3-0-0_113074_2013-07-25_final
2013-08-31 10:20:57	ga_ls8c_ard_3-0-0_100076_2013-08-31_final
2013-10-03 11:06:50	ga_ls8c_ard_3-0-0_107083_2013-10-03_final
2013-12-04 11:15:45	ga_ls8c_ard_3-1-0_109075_2013-12-04_final
2013-12-21 10:18:22	ga_ls8c_ard_3-0-0_100071_2013-12-21_final
2014-04-03 10:27:16	ga_ls8c_ard_3-0-0_101081_2014-04-03_final
2014-04-25 11:23:08	ga_ls8c_ard_3-0-0_111067_2014-04-25_final
2014-07-14 11:24:21	ga_ls8c_ard_3-0-0_111070_2014-07-14_final
2014-09-06 10:49:32	ga_ls8c_ard_3-0-0_105075_2014-09-06_final
2014-10-10 10:40:02	ga_ls8c_ard_3-0-0_103082_2014-10-10_final
2014-11-23 11:05:08	ga_ls8c_ard_3-0-0_107083_2014-11-23_final
2015-01-26 11:03:19	ga_ls8c_ard_3-0-0_107079_2015-01-26_final
2015-02-03 10:09:04	ga_ls8c_ard_3-0-0_099067_2015-02-03_final
2015-03-06 11:10:03	ga_ls8c_ard_3-0-0_108081_2015-03-06_final
2015-05-14 11:24:42	ga_ls8c_ard_3-0-0_111073_2015-05-14_final
2015-06-06 11:29:28	ga_ls8c_ard_3-0-0_112069_2015-06-06_final
2015-09-01 09:57:46	ga_ls8c_ard_3-0-0_097070_2015-09-01_final
2016-04-10 10:13:56	ga_ls8c_ard_3-0-0_099080_2016-04-10_final
2016-05-14 09:56:42	ga_ls8c_ard_3-0-0_097068_2016-05-14_final
2016-05-16 11:24:03	ga_ls8c_ard_3-0-0_111070_2016-05-16_final
2016-07-05 11:13:36	ga_ls8c_ard_3-0-0_109074_2016-07-05_final
2016-07-15 10:09:05	ga_ls8c_ard_3-0-0_099067_2016-07-15_final
2016-10-13 10:49:19	ga_ls8c_ard_3-0-0_105074_2016-10-13_final
2016-11-19 11:06:41	ga_ls8c_ard_3-0-0_108071_2016-11-19_final
2016-12-11 10:28:22	ga_ls8c_ard_3-0-0_102068_2016-12-11_final
2017-01-15 10:59:56	ga_ls8c_ard_3-0-0_107070_2017-01-15_final
2017-01-23 11:53:19	ga_ls8c_ard_3-0-0_115080_2017-01-23_final
2017-02-01 10:04:59	ga_ls8c_ard_3-0-0_098072_2017-02-01_final
2017-02-08 10:11:06	ga_ls8c_ard_3-0-0_099072_2017-02-08_final
2017-05-28 11:16:41	ga_ls8c_ard_3-0-0_110067_2017-05-28_final
2017-08-07 11:23:18	ga_ls8c_ard_3-0-0_111067_2017-08-07_final
2017-10-01 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-10-01_final
2017-11-01 10:46:54	ga_ls8c_ard_3-0-0_105068_2017-11-01_final
2017-11-25 09:59:45	ga_ls8c_ard_3-0-0_097074_2017-11-25_final
2017-11-25 10:01:20	ga_ls8c_ard_3-0-0_097078_2017-11-25_final
2017-12-07 10:27:37	ga_ls8c_ard_3-0-0_101082_2017-12-07_final
2018-01-24 10:27:27	ga_ls8c_ard_3-0-0_101082_2018-01-24_final
2018-02-25 10:27:37	ga_ls8c_ard_3-0-0_101083_2018-02-25_final
2018-07-09 11:23:37	ga_ls8c_ard_3-0-0_111070_2018-07-09_final
2018-07-21 11:50:25	ga_ls8c_ard_3-0-0_115075_2018-07-21_final
2018-07-29 10:59:50	ga_ls8c_ard_3-0-0_107072_2018-07-29_final
2018-08-22 10:09:49	ga_ls8c_ard_3-0-0_099070_2018-08-22_final
2018-09-17 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-09-17_final
2018-09-25 11:42:07	ga_ls8c_ard_3-0-0_113084_2018-09-25_final
2018-10-13 11:26:19	ga_ls8c_ard_3-0-0_111075_2018-10-13_final
2018-12-20 11:01:14	ga_ls8c_ard_3-0-0_107074_2018-12-20_final
2018-12-26 10:22:58	ga_ls8c_ard_3-0-0_101071_2018-12-26_final
2019-03-15 11:19:06	ga_ls8c_ard_3-1-0_110073_2019-03-15_final
2019-03-22 11:25:16	ga_ls8c_ard_3-1-0_111073_2019-03-22_final
2019-04-14 11:31:44	ga_ls8c_ard_3-1-0_112074_2019-04-14_final
2019-08-05 10:35:55	ga_ls8c_ard_3-1-0_103072_2019-08-05_final
2019-08-09 11:51:18	ga_ls8c_ard_3-1-0_115075_2019-08-09_final
2019-09-08 10:27:42	ga_ls8c_ard_3-1-0_101082_2019-09-08_final
2019-09-29 10:46:22	ga_ls8c_ard_3-1-0_104082_2019-09-29_final
2019-10-06 10:48:11	ga_ls8c_ard_3-1-0_105071_2019-10-06_final
2020-01-09 10:04:44	ga_ls8c_ard_3-1-0_098071_2020-01-09_final
2020-02-10 11:44:40	ga_ls8c_ard_3-1-0_114074_2020-02-10_final
2020-03-15 11:32:31	ga_ls8c_ard_3-1-0_112075_2020-03-15_final
2020-04-21 10:10:41	ga_ls8c_ard_3-1-0_099072_2020-04-21_final
2020-06-06 10:27:26	ga_ls8c_ard_3-1-0_101083_2020-06-06_final
2020-09-23 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-09-23_final
2020-10-14 11:52:44	ga_ls8c_ard_3-1-0_115078_2020-10-14_final
2021-01-28 10:52:20	ga_ls8c_ard_3-2-0_105082_2021-01-28_final
2021-02-25 09:34:51	ga_ls8c_ard_3-2-0_093074_2021-02-25_final
2021-03-03 10:34:13	ga_ls8c_ard_3-2-0_103068_2021-03-03_final
2021-03-16 10:09:58	ga_ls8c_ard_3-2-0_098085_2021-03-16_final
2021-05-11 10:53:07	ga_ls8c_ard_3-2-0_106070_2021-05-11_final
2021-05-12 09:57:31	ga_ls8c_ard_3-2-0_097070_2021-05-12_final
2021-06-23 10:35:43	ga_ls8c_ard_3-2-0_103072_2021-06-23_final
2021-07-09 10:35:45	ga_ls8c_ard_3-2-0_103072_2021-07-09_final
2021-07-24 11:30:16	ga_ls8c_ard_3-2-0_112069_2021-07-24_final
2021-08-04 09:38:31	ga_ls8c_ard_3-2-0_093083_2021-08-04_final
2021-09-08 11:47:41	ga_ls8c_ard_3-2-0_114081_2021-09-08_final
2021-09-24 11:47:43	ga_ls8c_ard_3-2-0_114081_2021-09-24_final
2021-10-11 09:12:55	ga_ls8c_ard_3-2-0_089080_2021-10-10_final
2021-12-03 11:07:54	ga_ls8c_ard_3-2-0_108074_2021-12-03_final
2021-12-12 11:01:43	ga_ls8c_ard_3-2-1_107074_2021-12-12_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-24 09:46:18	ga_ls8c_ard_3-2-1_095071_2021-12-24_final
2021-12-27 11:58:52	ga_ls8c_ard_3-2-1_116078_2021-12-27_final
2022-03-30 11:23:26	ga_ls8c_ard_3-2-1_111068_2022-03-30_final
2022-06-25 09:52:25	ga_ls8c_ard_3-2-1_096071_2022-06-25_final
2022-07-24 09:22:49	ga_ls8c_ard_3-2-1_091074_2022-07-23_final
2022-08-12 11:32:46	ga_ls8c_ard_3-2-1_112074_2022-08-12_final
2022-08-27 10:48:45	ga_ls8c_ard_3-2-1_105072_2022-08-27_final
2022-09-25 10:21:09	ga_ls8c_ard_3-2-1_100080_2022-09-25_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2023-01-21 09:40:57	ga_ls8c_ard_3-2-1_094073_2023-01-21_final
2023-02-02 11:47:48	ga_ls8c_ard_3-2-1_114081_2023-02-02_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-03-26 09:41:15	ga_ls8c_ard_3-2-1_094075_2023-03-26_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-06-16 09:28:07	ga_ls8c_ard_3-2-1_092074_2023-06-15_final
2023-08-30 09:10:31	ga_ls8c_ard_3-2-1_089075_2023-08-29_final
2023-09-01 10:35:50	ga_ls8c_ard_3-2-1_103072_2023-09-01_final
2023-09-29 09:28:59	ga_ls8c_ard_3-2-1_091090_2023-09-28_final
2023-11-23 09:28:07	ga_ls8c_ard_3-2-1_092072_2023-11-22_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