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
2013-07-16 10:05:20	ga_ls8c_ard_3-0-0_098068_2013-07-16_final
2013-08-09 10:54:24	ga_ls8c_ard_3-0-0_106067_2013-08-09_final
2013-11-24 10:36:38	ga_ls8c_ard_3-0-0_103070_2013-11-24_final
2013-11-30 11:42:52	ga_ls8c_ard_3-0-0_113081_2013-11-30_final
2013-12-08 09:12:56	ga_ls8c_ard_3-0-0_089077_2013-12-07_final
2014-05-23 10:12:37	ga_ls8c_ard_3-0-0_099077_2014-05-23_final
2014-06-17 10:03:28	ga_ls8c_ard_3-0-0_098069_2014-06-17_final
2014-06-23 11:09:15	ga_ls8c_ard_3-0-0_108079_2014-06-23_final
2014-08-15 11:24:09	ga_ls8c_ard_3-0-0_111069_2014-08-15_final
2014-08-31 11:28:58	ga_ls8c_ard_3-0-0_111081_2014-08-31_final
2014-09-23 09:50:41	ga_ls8c_ard_3-0-0_096067_2014-09-23_final
2014-10-11 09:38:26	ga_ls8c_ard_3-0-0_094067_2014-10-11_final
2014-10-23 10:10:22	ga_ls8c_ard_3-0-0_098085_2014-10-23_final
2014-11-22 10:17:28	ga_ls8c_ard_3-0-0_100072_2014-11-22_final
2014-12-30 09:45:51	ga_ls8c_ard_3-0-0_094086_2014-12-30_final
2015-01-29 11:29:50	ga_ls8c_ard_3-0-0_112068_2015-01-29_final
2015-04-23 11:06:06	ga_ls8c_ard_3-0-0_108072_2015-04-23_final
2015-05-21 09:49:38	ga_ls8c_ard_3-0-0_096067_2015-05-21_final
2015-05-23 11:16:58	ga_ls8c_ard_3-0-0_110069_2015-05-23_final
2015-05-23 11:18:58	ga_ls8c_ard_3-0-0_110074_2015-05-23_final
2015-07-01 09:43:48	ga_ls8c_ard_3-0-0_095067_2015-07-01_final
2015-07-17 09:51:09	ga_ls8c_ard_3-0-0_095085_2015-07-17_final
2015-07-23 09:11:18	ga_ls8c_ard_3-0-0_089078_2015-07-22_final
2015-07-24 11:31:52	ga_ls8c_ard_3-0-0_112074_2015-07-24_final
2015-11-03 09:20:48	ga_ls8c_ard_3-0-0_090085_2015-11-02_final
2015-12-17 09:38:22	ga_ls8c_ard_3-0-0_094067_2015-12-17_final
2016-01-27 09:34:31	ga_ls8c_ard_3-0-0_093073_2016-01-27_final
2016-03-27 11:41:21	ga_ls8c_ard_3-0-0_113082_2016-03-27_final
2016-04-07 09:39:51	ga_ls8c_ard_3-0-0_094072_2016-04-07_final
2016-04-25 09:28:34	ga_ls8c_ard_3-0-0_092075_2016-04-24_final
2016-07-22 10:18:05	ga_ls8c_ard_3-0-0_100074_2016-07-22_final
2016-08-07 11:57:25	ga_ls8c_ard_3-0-0_116075_2016-08-07_final
2016-08-09 10:04:11	ga_ls8c_ard_3-0-0_098070_2016-08-09_final
2016-09-19 09:58:12	ga_ls8c_ard_3-1-0_097070_2016-09-19_final
2016-09-27 09:11:57	ga_ls8c_ard_3-0-0_089078_2016-09-26_final
2016-12-05 09:34:34	ga_ls8c_ard_3-0-0_092088_2016-12-05_final
2017-01-26 10:46:06	ga_ls8c_ard_3-0-0_104082_2017-01-26_final
2017-03-08 10:37:38	ga_ls8c_ard_3-0-0_103077_2017-03-08_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-04-22 10:09:31	ga_ls8c_ard_3-0-0_098085_2017-04-22_final
2017-04-22 11:41:13	ga_ls8c_ard_3-0-0_114067_2017-04-22_final
2017-06-20 09:45:44	ga_ls8c_ard_3-0-0_095071_2017-06-20_final
2017-07-02 11:52:11	ga_ls8c_ard_3-0-0_115078_2017-07-02_final
2017-07-13 09:57:11	ga_ls8c_ard_3-0-0_096084_2017-07-13_final
2017-07-13 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-07-13_final
2017-07-25 10:19:36	ga_ls8c_ard_3-0-0_100078_2017-07-25_final
2017-08-29 09:15:00	ga_ls8c_ard_3-0-0_089086_2017-08-28_final
2017-09-08 09:52:06	ga_ls8c_ard_3-0-0_095086_2017-09-08_final
2017-12-16 08:42:35	ga_ls8c_ard_3-2-1_084082_2017-12-15_final
2018-02-15 09:44:13	ga_ls8c_ard_3-0-0_095067_2018-02-15_final
2018-02-17 11:13:31	ga_ls8c_ard_3-0-0_109074_2018-02-17_final
2018-08-26 09:45:31	ga_ls8c_ard_3-0-0_095071_2018-08-26_final
2018-10-10 09:20:06	ga_ls8c_ard_3-0-0_090084_2018-10-09_final
2018-10-26 09:22:11	ga_ls8c_ard_3-0-0_090089_2018-10-25_final
2018-12-21 10:04:25	ga_ls8c_ard_3-0-0_098071_2018-12-21_final
2019-03-25 10:21:16	ga_ls8c_ard_3-1-0_100083_2019-03-25_final
2019-04-30 11:31:17	ga_ls8c_ard_3-0-0_112073_2019-04-30_final
2019-05-23 11:41:41	ga_ls8c_ard_3-0-0_113083_2019-05-23_final
2019-06-23 09:20:33	ga_ls8c_ard_3-1-0_090085_2019-06-22_final
2019-06-29 11:57:17	ga_ls8c_ard_3-1-0_116075_2019-06-29_final
2019-06-29 11:57:41	ga_ls8c_ard_3-1-0_116076_2019-06-29_final
2019-07-12 09:44:21	ga_ls8c_ard_3-1-0_095067_2019-07-12_final
2019-07-24 11:51:12	ga_ls8c_ard_3-1-0_115075_2019-07-24_final
2019-11-22 10:10:03	ga_ls8c_ard_3-1-0_098084_2019-11-22_final
2020-01-15 11:09:43	ga_ls8c_ard_3-1-0_108079_2020-01-15_final
2020-02-07 09:36:54	ga_ls8c_ard_3-1-0_093079_2020-02-07_final
2020-02-11 10:47:03	ga_ls8c_ard_3-1-0_105069_2020-02-11_final
2020-06-07 09:29:01	ga_ls8c_ard_3-1-0_092076_2020-06-06_final
2020-09-17 10:29:07	ga_ls8c_ard_3-1-0_102070_2020-09-17_final
2020-11-10 11:32:09	ga_ls8c_ard_3-1-0_112073_2020-11-10_final
2021-03-05 10:23:02	ga_ls8c_ard_3-2-0_101071_2021-03-05_final
2021-03-12 10:28:45	ga_ls8c_ard_3-2-0_102070_2021-03-12_final
2021-03-15 11:04:48	ga_ls8c_ard_3-2-0_107083_2021-03-15_final
2021-03-24 09:22:06	ga_ls8c_ard_3-2-0_090089_2021-03-23_final
2021-05-05 11:28:58	ga_ls8c_ard_3-2-0_112067_2021-05-05_final
2021-06-09 10:25:17	ga_ls8c_ard_3-2-0_101077_2021-06-09_final
2021-07-08 11:29:23	ga_ls8c_ard_3-2-0_112067_2021-07-08_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-09-12 09:45:17	ga_ls8c_ard_3-2-0_094084_2021-09-12_final
2021-10-11 09:11:44	ga_ls8c_ard_3-2-0_089077_2021-10-10_final
2021-11-01 09:30:17	ga_ls8c_ard_3-2-0_092077_2021-11-01_final
2021-11-06 09:44:49	ga_ls8c_ard_3-2-0_095067_2021-11-06_final
2021-11-22 09:44:45	ga_ls8c_ard_3-2-0_095067_2021-11-22_final
2021-12-06 09:57:32	ga_ls8c_ard_3-2-1_097068_2021-12-06_final
2021-12-10 11:12:05	ga_ls8c_ard_3-2-1_109069_2021-12-10_final
2021-12-17 11:23:50	ga_ls8c_ard_3-2-1_110083_2021-12-17_final
2021-12-27 11:58:52	ga_ls8c_ard_3-2-1_116078_2021-12-27_final
2022-01-28 10:20:38	ga_ls8c_ard_3-2-1_100080_2022-01-28_final
2022-04-18 10:17:56	ga_ls8c_ard_3-2-1_100074_2022-04-18_final
2022-08-17 10:15:39	ga_ls8c_ard_3-2-1_099082_2022-08-17_final
2022-09-26 09:28:43	ga_ls8c_ard_3-2-1_091088_2022-09-25_final
2022-11-05 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-11-05_final
2022-12-09 09:57:19	ga_ls8c_ard_3-2-1_097067_2022-12-09_final
2023-02-25 10:09:11	ga_ls8c_ard_3-2-1_099067_2023-02-25_final
2023-04-02 09:46:34	ga_ls8c_ard_3-2-1_095073_2023-04-02_final
2023-05-16 11:50:52	ga_ls8c_ard_3-2-1_115076_2023-05-16_final
2023-05-18 10:02:48	ga_ls8c_ard_3-2-1_097084_2023-05-18_final
2023-07-14 11:33:58	ga_ls8c_ard_3-2-1_112079_2023-07-14_final
2023-10-14 10:19:28	ga_ls8c_ard_3-2-1_100077_2023-10-14_final
2023-12-03 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-12-03_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