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 09:57:36	ga_ls8c_ard_3-0-0_097069_2015-01-04_final
2015-01-04 09:58:00	ga_ls8c_ard_3-0-0_097070_2015-01-04_final
2015-01-05 10:40:52	ga_ls8c_ard_3-0-0_104069_2015-01-05_final
2015-01-06 09:45:39	ga_ls8c_ard_3-0-0_095070_2015-01-06_final
2015-01-06 11:24:08	ga_ls8c_ard_3-0-0_111069_2015-01-06_final
2015-01-06 11:24:32	ga_ls8c_ard_3-0-0_111070_2015-01-06_final
2015-01-07 10:28:31	ga_ls8c_ard_3-0-0_102069_2015-01-07_final
2015-01-07 10:28:55	ga_ls8c_ard_3-0-0_102070_2015-01-07_final
2015-02-12 10:03:35	ga_ls8c_ard_3-0-0_098069_2015-02-12_final
2015-02-13 10:46:50	ga_ls8c_ard_3-0-0_105069_2015-02-13_final
2015-02-14 11:30:04	ga_ls8c_ard_3-0-0_112069_2015-02-14_final
2015-02-15 10:34:27	ga_ls8c_ard_3-0-0_103069_2015-02-15_final
2015-03-09 09:57:14	ga_ls8c_ard_3-0-0_097069_2015-03-09_final
2015-03-10 10:40:29	ga_ls8c_ard_3-0-0_104069_2015-03-10_final
2015-03-11 11:23:43	ga_ls8c_ard_3-0-0_111069_2015-03-11_final
2015-03-11 11:24:07	ga_ls8c_ard_3-0-0_111070_2015-03-11_final
2015-03-12 10:28:05	ga_ls8c_ard_3-0-0_102069_2015-03-12_final
2015-03-25 09:57:05	ga_ls8c_ard_3-0-0_097069_2015-03-25_final
2015-03-26 10:40:20	ga_ls8c_ard_3-0-0_104069_2015-03-26_final
2015-03-27 09:45:06	ga_ls8c_ard_3-0-0_095070_2015-03-27_final
2015-03-27 11:23:35	ga_ls8c_ard_3-0-0_111069_2015-03-27_final
2015-03-28 10:27:57	ga_ls8c_ard_3-0-0_102069_2015-03-28_final
2015-04-18 10:46:23	ga_ls8c_ard_3-0-0_105069_2015-04-18_final
2015-04-18 10:46:47	ga_ls8c_ard_3-0-0_105070_2015-04-18_final
2015-04-19 09:50:46	ga_ls8c_ard_3-0-0_096069_2015-04-19_final
2015-04-19 09:51:10	ga_ls8c_ard_3-0-0_096070_2015-04-19_final
2015-04-19 11:29:39	ga_ls8c_ard_3-0-0_112069_2015-04-19_final
2015-04-19 11:30:03	ga_ls8c_ard_3-0-0_112070_2015-04-19_final
2015-05-09 11:04:38	ga_ls8c_ard_3-0-0_108069_2015-05-09_final
2015-05-10 10:09:00	ga_ls8c_ard_3-0-0_099069_2015-05-10_final
2015-05-11 10:52:15	ga_ls8c_ard_3-0-0_106069_2015-05-11_final
2016-10-20 10:53:32	ga_ls8c_ard_3-0-0_106069_2016-10-20_final
2016-10-20 10:53:56	ga_ls8c_ard_3-0-0_106070_2016-10-20_final
2016-11-20 10:10:16	ga_ls8c_ard_3-0-0_099069_2016-11-20_final
2016-11-20 10:10:40	ga_ls8c_ard_3-0-0_099070_2016-11-20_final
2016-11-21 10:53:32	ga_ls8c_ard_3-0-0_106069_2016-11-21_final
2016-11-21 10:53:56	ga_ls8c_ard_3-0-0_106070_2016-11-21_final
2016-11-22 09:57:54	ga_ls8c_ard_3-0-0_097069_2016-11-22_final
2016-11-22 09:58:18	ga_ls8c_ard_3-1-0_097070_2016-11-22_final
2016-11-29 10:04:05	ga_ls8c_ard_3-0-0_098069_2016-11-29_final
2016-11-30 10:47:21	ga_ls8c_ard_3-0-0_105069_2016-11-30_final
2016-12-01 09:51:43	ga_ls8c_ard_3-0-0_096069_2016-12-01_final
2016-12-01 09:52:07	ga_ls8c_ard_3-0-0_096070_2016-12-01_final
2016-12-01 11:30:36	ga_ls8c_ard_3-0-0_112069_2016-12-01_final
2016-12-01 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-12-01_final
2016-12-02 10:34:59	ga_ls8c_ard_3-0-0_103069_2016-12-02_final
2016-12-08 09:57:52	ga_ls8c_ard_3-0-0_097069_2016-12-08_final
2016-12-08 09:58:16	ga_ls8c_ard_3-0-0_097070_2016-12-08_final
2016-12-09 10:41:08	ga_ls8c_ard_3-0-0_104069_2016-12-09_final
2016-12-09 10:41:32	ga_ls8c_ard_3-0-0_104070_2016-12-09_final
2016-12-10 09:45:54	ga_ls8c_ard_3-0-0_095070_2016-12-10_final
2016-12-10 11:24:23	ga_ls8c_ard_3-0-0_111069_2016-12-10_final
2016-12-10 11:24:47	ga_ls8c_ard_3-0-0_111070_2016-12-10_final
2017-01-19 10:34:47	ga_ls8c_ard_3-0-0_103069_2017-01-19_final
2017-01-20 11:18:02	ga_ls8c_ard_3-0-0_110069_2017-01-20_final
2017-01-20 11:18:26	ga_ls8c_ard_3-0-0_110070_2017-01-20_final
2017-01-21 10:22:25	ga_ls8c_ard_3-0-0_101069_2017-01-21_final
2017-01-22 11:05:40	ga_ls8c_ard_3-0-0_108069_2017-01-22_final
2017-01-22 11:06:04	ga_ls8c_ard_3-0-0_108070_2017-01-22_final
2017-03-05 10:03:34	ga_ls8c_ard_3-0-0_098069_2017-03-05_final
2017-03-06 10:46:49	ga_ls8c_ard_3-0-0_105069_2017-03-06_final
2017-03-07 09:51:11	ga_ls8c_ard_3-0-0_096069_2017-03-07_final
2017-03-07 11:30:05	ga_ls8c_ard_3-0-0_112069_2017-03-07_final
2017-03-11 11:05:19	ga_ls8c_ard_3-0-0_108069_2017-03-11_final
2017-10-21 11:05:51	ga_ls8c_ard_3-0-0_108069_2017-10-21_final
2017-10-21 11:06:15	ga_ls8c_ard_3-0-0_108070_2017-10-21_final
2017-12-21 10:34:51	ga_ls8c_ard_3-0-0_103069_2017-12-21_final
2017-12-22 11:18:07	ga_ls8c_ard_3-0-0_110069_2017-12-22_final
2017-12-22 11:18:31	ga_ls8c_ard_3-0-0_110070_2017-12-22_final
2017-12-23 10:22:29	ga_ls8c_ard_3-0-0_101069_2017-12-23_final
2017-12-23 10:22:53	ga_ls8c_ard_3-0-0_101070_2017-12-23_final
2017-12-24 11:05:44	ga_ls8c_ard_3-0-0_108069_2017-12-24_final
2017-12-24 11:06:08	ga_ls8c_ard_3-0-0_108070_2017-12-24_final
2018-02-19 10:59:09	ga_ls8c_ard_3-0-0_107069_2018-02-19_final
2018-02-20 10:03:31	ga_ls8c_ard_3-0-0_098069_2018-02-20_final
2018-02-21 10:46:47	ga_ls8c_ard_3-0-0_105069_2018-02-21_final
2018-02-22 09:51:09	ga_ls8c_ard_3-0-0_096069_2018-02-22_final
2018-02-22 11:30:02	ga_ls8c_ard_3-0-0_112069_2018-02-22_final
2018-02-23 10:34:24	ga_ls8c_ard_3-0-0_103069_2018-02-23_final
2018-02-24 11:17:39	ga_ls8c_ard_3-0-0_110069_2018-02-24_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-02-25 10:22:01	ga_ls8c_ard_3-0-0_101069_2018-02-25_final
2018-02-25 10:22:25	ga_ls8c_ard_3-0-0_101070_2018-02-25_final
2018-02-26 11:05:17	ga_ls8c_ard_3-0-0_108069_2018-02-26_final
2018-03-31 10:09:23	ga_ls8c_ard_3-0-0_099069_2018-03-31_final
2018-04-01 10:52:38	ga_ls8c_ard_3-0-0_106069_2018-04-01_final
2018-04-02 09:57:00	ga_ls8c_ard_3-0-0_097069_2018-04-02_final
2018-04-03 10:40:16	ga_ls8c_ard_3-0-0_104069_2018-04-03_final
2018-04-04 11:23:31	ga_ls8c_ard_3-0-0_111069_2018-04-04_final
2018-04-04 11:23:55	ga_ls8c_ard_3-0-0_111070_2018-04-04_final
2018-04-05 10:27:53	ga_ls8c_ard_3-0-0_102069_2018-04-05_final
2018-05-05 10:39:57	ga_ls8c_ard_3-0-0_104069_2018-05-05_final
2018-05-06 09:44:43	ga_ls8c_ard_3-0-0_095070_2018-05-06_final
2018-05-06 11:23:12	ga_ls8c_ard_3-0-0_111069_2018-05-06_final
2018-05-07 10:27:35	ga_ls8c_ard_3-0-0_102069_2018-05-07_final
2018-07-17 10:33:50	ga_ls8c_ard_3-0-0_103069_2018-07-17_final
2018-07-17 10:34:14	ga_ls8c_ard_3-0-0_103070_2018-07-17_final
2018-07-18 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-07-18_final
2018-07-18 11:17:30	ga_ls8c_ard_3-0-0_110070_2018-07-18_final
2018-07-19 10:21:29	ga_ls8c_ard_3-0-0_101069_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