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
2013-07-12 10:30:03	ga_ls8c_ard_3-0-0_102068_2013-07-12_final
2013-07-13 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-07-13_final
2013-07-13 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-07-13_final
2013-10-04 10:04:50	ga_ls8c_ard_3-0-0_098067_2013-10-04_final
2013-10-04 10:05:14	ga_ls8c_ard_3-0-0_098068_2013-10-04_final
2013-10-05 10:48:30	ga_ls8c_ard_3-0-0_105068_2013-10-05_final
2013-10-06 13:10:39	ga_ls8c_ard_3-2-1_128068_2013-10-06_interim
2013-10-07 10:36:08	ga_ls8c_ard_3-0-0_103068_2013-10-07_final
2013-10-14 10:42:18	ga_ls8c_ard_3-0-0_104068_2013-10-14_final
2013-10-15 11:25:33	ga_ls8c_ard_3-0-0_111068_2013-10-15_final
2013-10-20 10:05:10	ga_ls8c_ard_3-0-0_098068_2013-10-20_final
2013-10-21 10:48:25	ga_ls8c_ard_3-0-0_105068_2013-10-21_final
2013-10-22 13:10:33	ga_ls8c_ard_3-2-1_128068_2013-10-22_interim
2013-10-23 10:36:02	ga_ls8c_ard_3-0-0_103068_2013-10-23_final
2014-06-30 11:11:05	ga_ls8c_ard_3-0-0_109068_2014-06-30_final
2014-07-02 09:19:52	ga_ls8c_ard_3-0-0_091068_2014-07-01_final
2014-07-02 10:58:21	ga_ls8c_ard_3-0-0_107067_2014-07-02_final
2014-07-03 10:03:08	ga_ls8c_ard_3-0-0_098068_2014-07-03_final
2014-07-04 10:46:25	ga_ls8c_ard_3-0-0_105068_2014-07-04_final
2014-07-05 11:29:17	ga_ls8c_ard_3-0-0_112067_2014-07-05_final
2014-07-05 11:29:41	ga_ls8c_ard_3-0-0_112068_2014-07-05_final
2014-08-10 11:05:11	ga_ls8c_ard_3-0-0_108068_2014-08-10_final
2014-08-11 10:09:34	ga_ls8c_ard_3-0-0_099068_2014-08-11_final
2014-08-12 10:52:26	ga_ls8c_ard_3-0-0_106067_2014-08-12_final
2014-08-12 10:52:50	ga_ls8c_ard_3-0-0_106068_2014-08-12_final
2014-08-21 10:46:41	ga_ls8c_ard_3-0-0_105068_2014-08-21_final
2014-08-22 11:29:33	ga_ls8c_ard_3-0-0_112067_2014-08-22_final
2014-08-22 11:29:57	ga_ls8c_ard_3-0-0_112068_2014-08-22_final
2014-08-23 10:34:20	ga_ls8c_ard_3-0-0_103068_2014-08-23_final
2014-08-24 09:38:18	ga_ls8c_ard_3-0-0_094067_2014-08-24_final
2014-08-24 11:17:11	ga_ls8c_ard_3-0-0_110067_2014-08-24_final
2014-08-24 11:17:35	ga_ls8c_ard_3-0-0_110068_2014-08-24_final
2014-08-26 09:26:21	ga_ls8c_ard_3-0-0_092068_2014-08-25_final
2014-08-26 11:05:14	ga_ls8c_ard_3-0-0_108068_2014-08-26_final
2014-08-27 10:09:36	ga_ls8c_ard_3-0-0_099068_2014-08-27_final
2014-08-28 10:52:52	ga_ls8c_ard_3-0-0_106068_2014-08-28_final
2014-09-06 10:46:44	ga_ls8c_ard_3-0-0_105068_2014-09-06_final
2014-09-07 11:29:36	ga_ls8c_ard_3-0-0_112067_2014-09-07_final
2014-09-07 11:30:00	ga_ls8c_ard_3-0-0_112068_2014-09-07_final
2014-09-07 13:08:53	ga_ls8c_ard_3-2-1_128068_2014-09-07_interim
2014-09-08 10:34:23	ga_ls8c_ard_3-0-0_103068_2014-09-08_final
2014-09-09 09:38:22	ga_ls8c_ard_3-0-0_094067_2014-09-09_final
2014-09-09 11:17:15	ga_ls8c_ard_3-0-0_110067_2014-09-09_final
2014-09-09 11:17:39	ga_ls8c_ard_3-0-0_110068_2014-09-09_final
2014-09-11 09:26:01	ga_ls8c_ard_3-0-0_092067_2014-09-10_final
2014-09-11 09:26:25	ga_ls8c_ard_3-0-0_092068_2014-09-10_final
2014-09-12 10:09:40	ga_ls8c_ard_3-0-0_099068_2014-09-12_final
2014-10-01 10:40:35	ga_ls8c_ard_3-0-0_104068_2014-10-01_final
2014-10-02 11:23:28	ga_ls8c_ard_3-0-0_111067_2014-10-02_final
2014-10-02 11:23:51	ga_ls8c_ard_3-0-0_111068_2014-10-02_final
2014-10-03 10:28:15	ga_ls8c_ard_3-0-0_102068_2014-10-03_final
2014-10-04 09:32:38	ga_ls8c_ard_3-0-0_093068_2014-10-04_final
2014-11-09 10:46:51	ga_ls8c_ard_3-0-0_105068_2014-11-09_final
2014-11-10 11:30:06	ga_ls8c_ard_3-0-0_112068_2014-11-10_final
2014-11-10 13:08:59	ga_ls8c_ard_3-2-1_128068_2014-11-10_interim
2014-11-11 10:34:29	ga_ls8c_ard_3-0-0_103068_2014-11-11_final
2014-11-12 11:17:21	ga_ls8c_ard_3-0-0_110067_2014-11-12_final
2014-11-12 11:17:45	ga_ls8c_ard_3-0-0_110068_2014-11-12_final
2014-11-14 09:26:29	ga_ls8c_ard_3-0-0_092068_2014-11-13_final
2014-12-27 10:46:41	ga_ls8c_ard_3-0-0_105068_2014-12-27_final
2014-12-28 11:29:56	ga_ls8c_ard_3-0-0_112068_2014-12-28_final
2014-12-28 13:08:49	ga_ls8c_ard_3-2-1_128068_2014-12-28_interim
2014-12-29 10:34:18	ga_ls8c_ard_3-0-0_103068_2014-12-29_final
2014-12-30 11:17:33	ga_ls8c_ard_3-0-0_110068_2014-12-30_final
2015-01-01 09:26:17	ga_ls8c_ard_3-0-0_092068_2014-12-31_final
2015-04-04 10:33:37	ga_ls8c_ard_3-0-0_103068_2015-04-04_final
2015-04-05 11:16:53	ga_ls8c_ard_3-0-0_110068_2015-04-05_final
2015-04-06 10:21:16	ga_ls8c_ard_3-0-0_101068_2015-04-06_final
2015-04-07 09:25:39	ga_ls8c_ard_3-0-0_092068_2015-04-06_final
2015-04-16 09:19:28	ga_ls8c_ard_3-0-0_091068_2015-04-15_final
2015-04-16 10:58:21	ga_ls8c_ard_3-0-0_107068_2015-04-16_final
2015-04-30 11:10:35	ga_ls8c_ard_3-0-0_109068_2015-04-30_final
2015-05-01 10:14:56	ga_ls8c_ard_3-0-0_100068_2015-05-01_final
2015-05-02 09:19:18	ga_ls8c_ard_3-0-0_091068_2015-05-01_final
2015-05-02 10:58:11	ga_ls8c_ard_3-0-0_107068_2015-05-02_final
2015-05-06 10:33:23	ga_ls8c_ard_3-0-0_103068_2015-05-06_final
2015-05-07 11:16:38	ga_ls8c_ard_3-0-0_110068_2015-05-07_final
2015-05-08 10:20:59	ga_ls8c_ard_3-0-0_101068_2015-05-08_final
2015-05-09 09:25:21	ga_ls8c_ard_3-0-0_092068_2015-05-08_final
2015-06-20 10:02:40	ga_ls8c_ard_3-0-0_098068_2015-06-20_final
2015-06-21 10:45:31	ga_ls8c_ard_3-0-0_105067_2015-06-21_final
2015-06-21 10:45:55	ga_ls8c_ard_3-0-0_105068_2015-06-21_final
2015-06-22 11:28:47	ga_ls8c_ard_3-0-0_112067_2015-06-22_final
2015-06-22 11:29:11	ga_ls8c_ard_3-0-0_112068_2015-06-22_final
2018-04-06 11:10:44	ga_ls8c_ard_3-0-0_109068_2018-04-06_final
2018-04-07 10:15:06	ga_ls8c_ard_3-0-0_100068_2018-04-07_final
2018-04-08 09:19:28	ga_ls8c_ard_3-0-0_091068_2018-04-07_final
2018-04-08 10:58:21	ga_ls8c_ard_3-0-0_107068_2018-04-08_final
2018-05-08 11:10:26	ga_ls8c_ard_3-0-0_109068_2018-05-08_final
2018-05-09 10:14:48	ga_ls8c_ard_3-0-0_100068_2018-05-09_final
2018-05-10 09:19:10	ga_ls8c_ard_3-0-0_091068_2018-05-09_final
2018-05-10 10:58:03	ga_ls8c_ard_3-0-0_107068_2018-05-10_final
2018-05-24 11:10:14	ga_ls8c_ard_3-0-0_109068_2018-05-24_final
2018-05-25 10:14:36	ga_ls8c_ard_3-0-0_100068_2018-05-25_final
2018-05-26 09:18:58	ga_ls8c_ard_3-0-0_091068_2018-05-25_final
2018-05-26 10:57:50	ga_ls8c_ard_3-0-0_107068_2018-05-26_final
2018-07-11 11:10:28	ga_ls8c_ard_3-0-0_109068_2018-07-11_final
2018-07-12 10:14:27	ga_ls8c_ard_3-0-0_100067_2018-07-12_final
2018-07-12 10:14:51	ga_ls8c_ard_3-0-0_100068_2018-07-12_final
2018-07-13 09:19:14	ga_ls8c_ard_3-0-0_091068_2018-07-12_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