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
2013-08-01 10:05:45	ga_ls8c_ard_3-0-0_098069_2013-08-01_final
2013-08-01 10:06:09	ga_ls8c_ard_3-0-0_098070_2013-08-01_final
2013-08-02 10:49:01	ga_ls8c_ard_3-0-0_105069_2013-08-02_final
2013-08-03 13:11:10	ga_ls8c_ard_3-2-1_128069_2013-08-03_interim
2013-08-04 10:36:39	ga_ls8c_ard_3-0-0_103069_2013-08-04_final
2013-08-17 10:05:45	ga_ls8c_ard_3-0-0_098069_2013-08-17_final
2013-08-17 10:06:09	ga_ls8c_ard_3-0-0_098070_2013-08-17_final
2013-08-18 10:49:02	ga_ls8c_ard_3-0-0_105069_2013-08-18_final
2013-08-19 11:32:18	ga_ls8c_ard_3-0-0_112069_2013-08-19_final
2013-08-20 10:36:41	ga_ls8c_ard_3-0-0_103069_2013-08-20_final
2013-08-21 11:19:57	ga_ls8c_ard_3-0-0_110069_2013-08-21_final
2013-08-22 10:24:43	ga_ls8c_ard_3-0-0_101070_2013-08-22_final
2013-08-23 11:07:59	ga_ls8c_ard_3-0-0_108070_2013-08-23_final
2013-08-24 10:12:22	ga_ls8c_ard_3-0-0_099070_2013-08-24_final
2013-11-12 10:11:39	ga_ls8c_ard_3-0-0_099069_2013-11-12_final
2013-11-13 10:54:54	ga_ls8c_ard_3-0-0_106069_2013-11-13_final
2015-07-28 11:05:10	ga_ls8c_ard_3-0-0_108069_2015-07-28_final
2015-09-24 10:03:44	ga_ls8c_ard_3-0-0_098069_2015-09-24_final
2015-09-25 10:47:00	ga_ls8c_ard_3-0-0_105069_2015-09-25_final
2015-09-26 09:51:23	ga_ls8c_ard_3-0-0_096069_2015-09-26_final
2015-09-26 09:51:47	ga_ls8c_ard_3-0-0_096070_2015-09-26_final
2015-09-26 11:30:16	ga_ls8c_ard_3-0-0_112069_2015-09-26_final
2015-09-26 11:30:40	ga_ls8c_ard_3-0-0_112070_2015-09-26_final
2015-09-27 10:34:39	ga_ls8c_ard_3-0-0_103069_2015-09-27_final
2015-09-27 10:35:03	ga_ls8c_ard_3-0-0_103070_2015-09-27_final
2015-09-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2015-09-28_final
2015-09-28 11:18:19	ga_ls8c_ard_3-0-0_110070_2015-09-28_final
2015-09-29 10:22:18	ga_ls8c_ard_3-0-0_101069_2015-09-29_final
2015-09-30 11:05:34	ga_ls8c_ard_3-0-0_108069_2015-09-30_final
2015-09-30 11:05:58	ga_ls8c_ard_3-0-0_108070_2015-09-30_final
2015-11-24 11:11:53	ga_ls8c_ard_3-0-0_109069_2015-11-24_final
2015-11-24 11:12:17	ga_ls8c_ard_3-0-0_109070_2015-11-24_final
2015-11-25 10:16:16	ga_ls8c_ard_3-0-0_100069_2015-11-25_final
2015-11-25 10:16:39	ga_ls8c_ard_3-0-0_100070_2015-11-25_final
2015-11-26 10:59:31	ga_ls8c_ard_3-0-0_107069_2015-11-26_final
2015-11-26 10:59:55	ga_ls8c_ard_3-0-0_107070_2015-11-26_final
2015-11-30 10:34:48	ga_ls8c_ard_3-0-0_103069_2015-11-30_final
2015-11-30 10:35:12	ga_ls8c_ard_3-0-0_103070_2015-11-30_final
2015-12-01 11:18:04	ga_ls8c_ard_3-0-0_110069_2015-12-01_final
2015-12-01 11:18:27	ga_ls8c_ard_3-0-0_110070_2015-12-01_final
2015-12-02 10:22:26	ga_ls8c_ard_3-0-0_101069_2015-12-02_final
2016-01-17 10:34:44	ga_ls8c_ard_3-0-0_103069_2016-01-17_final
2016-01-18 11:18:00	ga_ls8c_ard_3-0-0_110069_2016-01-18_final
2016-01-19 10:22:22	ga_ls8c_ard_3-0-0_101069_2016-01-19_final
2016-01-19 10:22:46	ga_ls8c_ard_3-0-0_101070_2016-01-19_final
2016-03-22 11:17:41	ga_ls8c_ard_3-0-0_110069_2016-03-22_final
2016-03-23 10:22:03	ga_ls8c_ard_3-0-0_101069_2016-03-23_final
2016-03-24 11:05:18	ga_ls8c_ard_3-0-0_108069_2016-03-24_final
2016-03-25 10:09:40	ga_ls8c_ard_3-0-0_099069_2016-03-25_final
2016-03-25 10:10:04	ga_ls8c_ard_3-0-0_099070_2016-03-25_final
2016-03-26 10:52:55	ga_ls8c_ard_3-0-0_106069_2016-03-26_final
2016-03-30 10:28:08	ga_ls8c_ard_3-0-0_102069_2016-03-30_final
2016-03-31 11:11:23	ga_ls8c_ard_3-0-0_109069_2016-03-31_final
2016-04-01 10:15:45	ga_ls8c_ard_3-0-0_100069_2016-04-01_final
2016-04-10 10:09:33	ga_ls8c_ard_3-0-0_099069_2016-04-10_final
2016-04-11 10:52:48	ga_ls8c_ard_3-0-0_106069_2016-04-11_final
2016-04-11 10:53:12	ga_ls8c_ard_3-0-0_106070_2016-04-11_final
2016-04-12 09:57:10	ga_ls8c_ard_3-0-0_097069_2016-04-12_final
2016-04-29 10:40:24	ga_ls8c_ard_3-0-0_104069_2016-04-29_final
2016-04-30 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-30_final
2016-05-01 10:28:04	ga_ls8c_ard_3-0-0_102069_2016-05-01_final
2016-05-08 10:34:14	ga_ls8c_ard_3-0-0_103069_2016-05-08_final
2016-05-08 10:34:38	ga_ls8c_ard_3-0-0_103070_2016-05-08_final
2016-05-09 11:17:29	ga_ls8c_ard_3-0-0_110069_2016-05-09_final
2016-05-09 11:17:53	ga_ls8c_ard_3-0-0_110070_2016-05-09_final
2016-05-10 10:21:51	ga_ls8c_ard_3-0-0_101069_2016-05-10_final
2016-05-10 10:22:15	ga_ls8c_ard_3-0-0_101070_2016-05-10_final
2017-08-08 10:28:29	ga_ls8c_ard_3-0-0_102069_2017-08-08_final
2017-08-08 10:28:53	ga_ls8c_ard_3-0-0_102070_2017-08-08_final
2017-08-09 11:11:45	ga_ls8c_ard_3-0-0_109069_2017-08-09_final
2017-08-09 11:12:09	ga_ls8c_ard_3-0-0_109070_2017-08-09_final
2017-08-10 10:16:08	ga_ls8c_ard_3-0-0_100069_2017-08-10_final
2017-08-10 10:16:32	ga_ls8c_ard_3-0-0_100070_2017-08-10_final
2017-08-11 10:59:24	ga_ls8c_ard_3-0-0_107069_2017-08-11_final
2017-08-24 10:28:33	ga_ls8c_ard_3-0-0_102069_2017-08-24_final
2017-08-24 10:28:57	ga_ls8c_ard_3-0-0_102070_2017-08-24_final
2017-08-25 11:11:49	ga_ls8c_ard_3-0-0_109069_2017-08-25_final
2017-08-26 10:16:12	ga_ls8c_ard_3-0-0_100069_2017-08-26_final
2017-08-27 10:59:28	ga_ls8c_ard_3-0-0_107069_2017-08-27_final
2019-12-27 10:34:54	ga_ls8c_ard_3-1-0_103069_2019-12-27_final
2019-12-28 11:18:09	ga_ls8c_ard_3-1-0_110069_2019-12-28_final
2019-12-29 10:22:31	ga_ls8c_ard_3-1-0_101069_2019-12-29_final
2019-12-29 10:22:55	ga_ls8c_ard_3-1-0_101070_2019-12-29_final
2019-12-30 11:05:47	ga_ls8c_ard_3-1-0_108069_2019-12-30_final
2019-12-30 11:06:11	ga_ls8c_ard_3-1-0_108070_2019-12-30_final
2020-01-31 11:05:39	ga_ls8c_ard_3-1-0_108069_2020-01-31_final
2020-03-01 11:17:52	ga_ls8c_ard_3-1-0_110069_2020-03-01_final
2020-03-02 10:22:15	ga_ls8c_ard_3-1-0_101069_2020-03-02_final
2020-03-03 11:05:30	ga_ls8c_ard_3-1-0_108069_2020-03-03_final
2020-03-06 09:57:30	ga_ls8c_ard_3-1-0_097069_2020-03-06_final
2020-03-07 10:40:45	ga_ls8c_ard_3-1-0_104069_2020-03-07_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-03-08 11:24:00	ga_ls8c_ard_3-1-0_111069_2020-03-08_final
2020-04-17 10:34:14	ga_ls8c_ard_3-1-0_103069_2020-04-17_final
2020-04-18 11:17:29	ga_ls8c_ard_3-1-0_110069_2020-04-18_final
2020-04-21 10:09:29	ga_ls8c_ard_3-1-0_099069_2020-04-21_final
2020-04-22 10:52:44	ga_ls8c_ard_3-1-0_106069_2020-04-22_final
2020-04-23 09:57:06	ga_ls8c_ard_3-1-0_097069_2020-04-23_final
2020-05-04 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-04_final
2020-05-05 10:21:43	ga_ls8c_ard_3-1-0_101069_2020-05-05_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