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
2013-05-24 11:27:20	ga_ls8c_ard_3-0-0_111072_2013-05-24_final
2013-08-09 10:57:12	ga_ls8c_ard_3-0-0_106074_2013-08-09_final
2013-09-08 11:12:45	ga_ls8c_ard_3-0-0_108082_2013-09-08_final
2013-09-14 10:30:51	ga_ls8c_ard_3-0-0_102070_2013-09-14_final
2013-12-06 11:05:23	ga_ls8c_ard_3-0-0_107080_2013-12-06_final
2014-05-25 11:40:45	ga_ls8c_ard_3-0-0_113081_2014-05-25_final
2014-09-28 11:53:19	ga_ls8c_ard_3-0-0_115080_2014-09-28_final
2014-10-27 11:20:06	ga_ls8c_ard_3-0-0_110074_2014-10-27_final
2014-12-11 10:47:29	ga_ls8c_ard_3-0-0_105070_2014-12-11_final
2014-12-11 10:49:29	ga_ls8c_ard_3-0-0_105075_2014-12-11_final
2015-04-04 10:35:13	ga_ls8c_ard_3-0-0_103072_2015-04-04_final
2015-04-26 11:34:58	ga_ls8c_ard_3-0-0_113067_2015-04-26_final
2015-06-28 10:52:09	ga_ls8c_ard_3-0-0_106068_2015-06-28_final
2015-08-30 11:52:12	ga_ls8c_ard_3-0-0_115078_2015-08-30_final
2015-09-26 11:32:40	ga_ls8c_ard_3-0-0_112075_2015-09-26_final
2015-09-26 11:36:15	ga_ls8c_ard_3-0-0_112084_2015-09-26_final
2015-09-27 10:39:26	ga_ls8c_ard_3-0-0_103081_2015-09-27_final
2015-09-29 10:23:06	ga_ls8c_ard_3-0-0_101071_2015-09-29_final
2015-11-30 10:34:24	ga_ls8c_ard_3-0-0_103068_2015-11-30_final
2015-12-05 10:53:20	ga_ls8c_ard_3-0-0_106069_2015-12-05_final
2016-01-23 11:38:32	ga_ls8c_ard_3-0-0_113074_2016-01-23_final
2016-03-14 10:27:55	ga_ls8c_ard_3-0-0_102068_2016-03-14_final
2016-04-23 11:17:26	ga_ls8c_ard_3-0-0_110069_2016-04-23_final
2016-04-28 11:41:36	ga_ls8c_ard_3-0-0_113083_2016-04-28_final
2016-05-05 11:47:02	ga_ls8c_ard_3-0-0_114081_2016-05-05_final
2016-05-11 11:07:29	ga_ls8c_ard_3-0-0_108075_2016-05-11_final
2016-06-06 11:46:42	ga_ls8c_ard_3-0-0_114080_2016-06-06_final
2016-07-14 11:05:54	ga_ls8c_ard_3-0-0_108070_2016-07-14_final
2016-08-10 10:49:02	ga_ls8c_ard_3-0-0_105074_2016-08-10_final
2016-10-08 10:31:57	ga_ls8c_ard_3-0-0_102077_2016-10-08_final
2016-11-30 10:50:08	ga_ls8c_ard_3-0-0_105076_2016-11-30_final
2017-01-11 11:26:16	ga_ls8c_ard_3-0-0_111074_2017-01-11_final
2017-06-03 10:42:03	ga_ls8c_ard_3-0-0_104073_2017-06-03_final
2017-06-22 11:14:16	ga_ls8c_ard_3-0-0_109076_2017-06-22_final
2017-09-25 10:30:15	ga_ls8c_ard_3-0-0_102073_2017-09-25_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2018-02-22 11:36:01	ga_ls8c_ard_3-0-0_112084_2018-02-22_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-08-13 10:21:30	ga_ls8c_ard_3-0-0_100084_2018-08-13_final
2018-11-22 10:35:23	ga_ls8c_ard_3-0-0_103071_2018-11-22_final
2018-12-20 11:00:02	ga_ls8c_ard_3-0-0_107071_2018-12-20_final
2019-01-19 11:11:33	ga_ls8c_ard_3-0-0_109069_2019-01-19_final
2019-02-15 10:55:19	ga_ls8c_ard_3-0-0_106075_2019-02-15_final
2019-03-01 11:07:14	ga_ls8c_ard_3-0-0_108074_2019-03-01_final
2019-04-23 11:25:05	ga_ls8c_ard_3-0-0_111073_2019-04-23_final
2019-04-30 11:29:41	ga_ls8c_ard_3-0-0_112069_2019-04-30_final
2019-07-04 10:34:58	ga_ls8c_ard_3-1-0_103070_2019-07-04_final
2019-10-03 11:58:57	ga_ls8c_ard_3-1-0_116078_2019-10-03_final
2019-10-12 11:53:11	ga_ls8c_ard_3-1-0_115079_2019-10-12_final
2019-11-30 10:55:54	ga_ls8c_ard_3-1-0_106075_2019-11-30_final
2019-12-28 11:19:45	ga_ls8c_ard_3-1-0_110073_2019-12-28_final
2020-01-27 11:31:35	ga_ls8c_ard_3-1-0_112072_2020-01-27_final
2020-06-21 11:17:37	ga_ls8c_ard_3-1-0_110069_2020-06-21_final
2020-07-01 10:21:52	ga_ls8c_ard_3-1-0_100084_2020-07-01_final
2020-09-13 10:53:25	ga_ls8c_ard_3-1-0_106069_2020-09-13_final
2020-11-12 09:40:30	ga_ls8c_ard_3-1-0_094072_2020-11-12_final
2021-01-08 09:37:28	ga_ls8c_ard_3-2-0_093080_2021-01-08_final
2021-04-25 09:22:18	ga_ls8c_ard_3-2-0_090090_2021-04-24_final
2021-06-15 11:23:32	ga_ls8c_ard_3-2-0_111068_2021-06-15_final
2021-06-21 09:13:58	ga_ls8c_ard_3-2-0_089084_2021-06-20_final
2021-07-17 09:51:31	ga_ls8c_ard_3-2-0_095085_2021-07-17_final
2021-07-26 11:19:55	ga_ls8c_ard_3-2-0_110074_2021-07-26_final
2021-08-16 10:03:42	ga_ls8c_ard_3-2-0_097084_2021-08-16_final
2021-08-22 10:59:57	ga_ls8c_ard_3-2-0_107070_2021-08-22_final
2021-10-17 10:11:33	ga_ls8c_ard_3-2-0_099072_2021-10-17_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-12-08 11:26:03	ga_ls8c_ard_3-2-1_111073_2021-12-08_final
2022-02-04 10:25:37	ga_ls8c_ard_3-2-1_101077_2022-02-04_final
2022-03-23 11:18:33	ga_ls8c_ard_3-2-1_110071_2022-03-23_final
2022-03-30 11:25:01	ga_ls8c_ard_3-2-1_111072_2022-03-30_final
2022-04-08 09:44:24	ga_ls8c_ard_3-2-1_094083_2022-04-08_final
2022-05-03 09:35:27	ga_ls8c_ard_3-2-1_093076_2022-05-03_final
2022-05-10 09:44:06	ga_ls8c_ard_3-2-1_094082_2022-05-10_final
2022-05-10 11:20:36	ga_ls8c_ard_3-2-1_110076_2022-05-10_final
2022-06-11 11:24:01	ga_ls8c_ard_3-2-1_110084_2022-06-11_final
2022-08-03 11:40:29	ga_ls8c_ard_3-2-1_113078_2022-08-03_final
2022-08-14 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-08-14_final
2022-09-02 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-09-02_final
2022-09-15 11:18:32	ga_ls8c_ard_3-2-1_110069_2022-09-15_final
2022-10-14 10:49:54	ga_ls8c_ard_3-2-1_105075_2022-10-14_final
2022-11-30 10:05:30	ga_ls8c_ard_3-2-1_098072_2022-11-30_final
2022-12-13 11:14:14	ga_ls8c_ard_3-2-1_109074_2022-12-13_final
2023-01-12 11:25:15	ga_ls8c_ard_3-2-1_111071_2023-01-12_final
2023-01-14 11:17:39	ga_ls8c_ard_3-2-1_109083_2023-01-14_final
2023-02-01 11:00:33	ga_ls8c_ard_3-2-1_107071_2023-02-01_final
2023-03-30 09:17:18	ga_ls8c_ard_3-2-1_090077_2023-03-29_final
2023-03-31 10:03:44	ga_ls8c_ard_3-2-1_097085_2023-03-31_final
2023-04-15 10:53:56	ga_ls8c_ard_3-2-1_106072_2023-04-15_final
2023-05-12 10:35:09	ga_ls8c_ard_3-2-1_103072_2023-05-12_final
2023-06-18 09:21:21	ga_ls8c_ard_3-2-1_090088_2023-06-17_final
2023-07-19 11:52:30	ga_ls8c_ard_3-2-1_115079_2023-07-19_final
2023-08-20 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-08-20_final
2023-09-26 10:30:10	ga_ls8c_ard_3-2-1_102073_2023-09-26_final
2023-10-20 11:18:27	ga_ls8c_ard_3-2-1_110070_2023-10-20_final
2023-10-29 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-10-29_final
2023-11-18 10:48:49	ga_ls8c_ard_3-2-1_105073_2023-11-18_final
2024-01-13 10:04:05	ga_ls8c_ard_3-2-1_097085_2024-01-13_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-02-07 09:53:29	ga_ls8c_ard_3-2-1_096074_2024-02-07_final
2024-02-18 11:13:00	ga_ls8c_ard_3-2-1_109072_2024-02-18_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