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
2015-01-04 09:56:49	ga_ls8c_ard_3-0-0_097067_2015-01-04_final
2015-01-04 09:57:12	ga_ls8c_ard_3-0-0_097068_2015-01-04_final
2015-01-04 11:35:42	ga_ls8c_ard_3-0-0_113067_2015-01-04_final
2015-01-05 10:40:28	ga_ls8c_ard_3-0-0_104068_2015-01-05_final
2015-01-06 09:44:27	ga_ls8c_ard_3-0-0_095067_2015-01-06_final
2015-01-06 11:23:20	ga_ls8c_ard_3-0-0_111067_2015-01-06_final
2015-01-07 10:27:43	ga_ls8c_ard_3-0-0_102067_2015-01-07_final
2015-01-08 09:32:06	ga_ls8c_ard_3-0-0_093067_2015-01-08_final
2015-03-11 11:22:56	ga_ls8c_ard_3-0-0_111067_2015-03-11_final
2015-03-12 10:27:17	ga_ls8c_ard_3-0-0_102067_2015-03-12_final
2015-03-12 10:27:41	ga_ls8c_ard_3-0-0_102068_2015-03-12_final
2015-03-13 09:31:39	ga_ls8c_ard_3-0-0_093067_2015-03-13_final
2015-03-25 09:56:18	ga_ls8c_ard_3-0-0_097067_2015-03-25_final
2015-03-25 11:35:11	ga_ls8c_ard_3-0-0_113067_2015-03-25_final
2015-03-26 10:39:33	ga_ls8c_ard_3-0-0_104067_2015-03-26_final
2015-03-26 10:39:56	ga_ls8c_ard_3-0-0_104068_2015-03-26_final
2015-03-27 09:43:54	ga_ls8c_ard_3-0-0_095067_2015-03-27_final
2015-03-27 11:22:47	ga_ls8c_ard_3-0-0_111067_2015-03-27_final
2015-03-28 10:27:09	ga_ls8c_ard_3-0-0_102067_2015-03-28_final
2015-03-28 10:27:33	ga_ls8c_ard_3-0-0_102068_2015-03-28_final
2015-03-29 09:31:31	ga_ls8c_ard_3-0-0_093067_2015-03-29_final
2015-05-09 11:03:50	ga_ls8c_ard_3-0-0_108067_2015-05-09_final
2015-05-10 10:08:12	ga_ls8c_ard_3-0-0_099067_2015-05-10_final
2015-05-11 10:51:27	ga_ls8c_ard_3-0-0_106067_2015-05-11_final
2016-11-20 10:09:28	ga_ls8c_ard_3-0-0_099067_2016-11-20_final
2016-11-20 10:09:52	ga_ls8c_ard_3-0-0_099068_2016-11-20_final
2016-11-21 10:52:44	ga_ls8c_ard_3-0-0_106067_2016-11-21_final
2016-11-21 10:53:08	ga_ls8c_ard_3-0-0_106068_2016-11-21_final
2016-11-21 12:31:37	ga_ls8c_ard_3-2-1_122067_2016-11-21_final
2016-11-22 09:57:07	ga_ls8c_ard_3-0-0_097067_2016-11-22_final
2016-11-22 09:57:31	ga_ls8c_ard_3-0-0_097068_2016-11-22_final
2016-11-22 11:36:00	ga_ls8c_ard_3-0-0_113067_2016-11-22_final
2016-12-08 09:57:05	ga_ls8c_ard_3-0-0_097067_2016-12-08_final
2016-12-08 09:57:29	ga_ls8c_ard_3-0-0_097068_2016-12-08_final
2016-12-08 11:35:58	ga_ls8c_ard_3-0-0_113067_2016-12-08_final
2016-12-09 10:40:20	ga_ls8c_ard_3-0-0_104067_2016-12-09_final
2016-12-09 10:40:44	ga_ls8c_ard_3-0-0_104068_2016-12-09_final
2016-12-10 09:44:42	ga_ls8c_ard_3-0-0_095067_2016-12-10_final
2016-12-10 11:23:35	ga_ls8c_ard_3-0-0_111067_2016-12-10_final
2016-12-10 11:23:59	ga_ls8c_ard_3-0-0_111068_2016-12-10_final
2017-01-22 09:25:59	ga_ls8c_ard_3-0-0_092067_2017-01-21_final
2017-01-22 09:26:23	ga_ls8c_ard_3-0-0_092068_2017-01-21_final
2017-10-21 09:26:10	ga_ls8c_ard_3-0-0_092067_2017-10-20_final
2017-10-21 09:26:34	ga_ls8c_ard_3-0-0_092068_2017-10-20_final
2017-10-21 11:05:03	ga_ls8c_ard_3-0-0_108067_2017-10-21_final
2017-10-21 11:05:27	ga_ls8c_ard_3-0-0_108068_2017-10-21_final
2017-12-21 10:34:03	ga_ls8c_ard_3-0-0_103067_2017-12-21_final
2017-12-21 10:34:27	ga_ls8c_ard_3-0-0_103068_2017-12-21_final
2017-12-22 09:38:26	ga_ls8c_ard_3-0-0_094067_2017-12-22_final
2017-12-22 11:17:19	ga_ls8c_ard_3-0-0_110067_2017-12-22_final
2017-12-22 11:17:43	ga_ls8c_ard_3-0-0_110068_2017-12-22_final
2017-12-23 10:21:41	ga_ls8c_ard_3-0-0_101067_2017-12-23_final
2017-12-23 10:22:05	ga_ls8c_ard_3-0-0_101068_2017-12-23_final
2017-12-24 09:26:04	ga_ls8c_ard_3-0-0_092067_2017-12-23_final
2017-12-24 09:26:28	ga_ls8c_ard_3-0-0_092068_2017-12-23_final
2017-12-24 11:04:57	ga_ls8c_ard_3-0-0_108067_2017-12-24_final
2017-12-24 11:05:21	ga_ls8c_ard_3-0-0_108068_2017-12-24_final
2018-02-19 10:58:21	ga_ls8c_ard_3-0-0_107067_2018-02-19_final
2018-02-20 10:02:43	ga_ls8c_ard_3-0-0_098067_2018-02-20_final
2018-02-20 11:41:37	ga_ls8c_ard_3-0-0_114067_2018-02-20_final
2018-02-21 10:45:59	ga_ls8c_ard_3-0-0_105067_2018-02-21_final
2018-02-21 10:46:23	ga_ls8c_ard_3-0-0_105068_2018-02-21_final
2018-02-22 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-02-22_final
2018-02-22 09:50:45	ga_ls8c_ard_3-0-0_096068_2018-02-22_final
2018-02-22 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-02-22_final
2018-02-23 10:33:36	ga_ls8c_ard_3-0-0_103067_2018-02-23_final
2018-02-23 10:34:00	ga_ls8c_ard_3-0-0_103068_2018-02-23_final
2018-02-24 09:37:58	ga_ls8c_ard_3-0-0_094067_2018-02-24_final
2018-02-24 11:16:51	ga_ls8c_ard_3-0-0_110067_2018-02-24_final
2018-02-25 10:21:14	ga_ls8c_ard_3-0-0_101067_2018-02-25_final
2018-02-25 10:21:38	ga_ls8c_ard_3-0-0_101068_2018-02-25_final
2018-02-26 09:25:36	ga_ls8c_ard_3-0-0_092067_2018-02-25_final
2018-02-26 11:04:29	ga_ls8c_ard_3-0-0_108067_2018-02-26_final
2018-02-26 11:04:53	ga_ls8c_ard_3-0-0_108068_2018-02-26_final
2018-03-31 10:08:35	ga_ls8c_ard_3-0-0_099067_2018-03-31_final
2018-04-01 10:51:50	ga_ls8c_ard_3-0-0_106067_2018-04-01_final
2018-04-02 09:56:13	ga_ls8c_ard_3-0-0_097067_2018-04-02_final
2018-04-02 09:56:36	ga_ls8c_ard_3-0-0_097068_2018-04-02_final
2018-04-02 11:35:06	ga_ls8c_ard_3-0-0_113067_2018-04-02_final
2018-04-03 10:39:28	ga_ls8c_ard_3-0-0_104067_2018-04-03_final
2018-04-03 10:39:52	ga_ls8c_ard_3-0-0_104068_2018-04-03_final
2018-04-04 09:43:50	ga_ls8c_ard_3-0-0_095067_2018-04-04_final
2018-04-04 11:22:43	ga_ls8c_ard_3-0-0_111067_2018-04-04_final
2018-04-05 10:27:05	ga_ls8c_ard_3-0-0_102067_2018-04-05_final
2018-04-06 09:31:27	ga_ls8c_ard_3-0-0_093067_2018-04-06_final
2018-05-05 10:39:10	ga_ls8c_ard_3-0-0_104067_2018-05-05_final
2018-05-05 10:39:33	ga_ls8c_ard_3-0-0_104068_2018-05-05_final
2018-05-06 09:43:32	ga_ls8c_ard_3-0-0_095067_2018-05-06_final
2018-05-06 11:22:25	ga_ls8c_ard_3-0-0_111067_2018-05-06_final
2018-05-07 10:26:47	ga_ls8c_ard_3-0-0_102067_2018-05-07_final
2018-05-07 10:27:11	ga_ls8c_ard_3-0-0_102068_2018-05-07_final
2018-05-08 09:31:09	ga_ls8c_ard_3-0-0_093067_2018-05-08_final
2018-07-17 10:33:02	ga_ls8c_ard_3-0-0_103067_2018-07-17_final
2018-07-17 10:33:26	ga_ls8c_ard_3-0-0_103068_2018-07-17_final
2018-07-18 09:37:25	ga_ls8c_ard_3-0-0_094067_2018-07-18_final
2018-07-18 11:16:18	ga_ls8c_ard_3-0-0_110067_2018-07-18_final
2018-07-18 11:16:42	ga_ls8c_ard_3-0-0_110068_2018-07-18_final
2018-07-19 10:20:41	ga_ls8c_ard_3-0-0_101067_2018-07-19_final
2018-07-19 10:21:05	ga_ls8c_ard_3-0-0_101068_2018-07-19_final
2018-07-20 09:25:04	ga_ls8c_ard_3-0-0_092067_2018-07-19_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