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
2013-11-27 11:08:21	ga_ls8c_ard_3-0-0_108072_2013-11-27_final
2013-11-29 10:56:00	ga_ls8c_ard_3-0-0_106072_2013-11-29_final
2013-11-30 11:39:16	ga_ls8c_ard_3-0-0_113072_2013-11-30_final
2014-03-10 11:13:29	ga_ls8c_ard_3-0-0_109072_2014-03-10_final
2014-03-12 11:01:06	ga_ls8c_ard_3-0-0_107072_2014-03-12_final
2014-03-13 10:05:28	ga_ls8c_ard_3-0-0_098072_2014-03-13_final
2014-06-10 09:58:03	ga_ls8c_ard_3-0-0_097071_2014-06-10_final
2014-06-10 09:58:27	ga_ls8c_ard_3-0-0_097072_2014-06-10_final
2014-06-10 11:37:20	ga_ls8c_ard_3-0-0_113072_2014-06-10_final
2014-06-11 10:41:43	ga_ls8c_ard_3-0-0_104072_2014-06-11_final
2014-06-12 09:46:06	ga_ls8c_ard_3-0-0_095072_2014-06-12_final
2014-06-12 11:24:35	ga_ls8c_ard_3-0-0_111071_2014-06-12_final
2014-06-12 11:24:59	ga_ls8c_ard_3-0-0_111072_2014-06-12_final
2014-06-13 10:28:58	ga_ls8c_ard_3-0-0_102071_2014-06-13_final
2014-06-13 10:29:22	ga_ls8c_ard_3-0-0_102072_2014-06-13_final
2016-10-21 09:59:06	ga_ls8c_ard_3-0-0_097072_2016-10-21_final
2016-10-21 11:38:00	ga_ls8c_ard_3-0-0_113072_2016-10-21_final
2016-10-22 10:42:22	ga_ls8c_ard_3-0-0_104072_2016-10-22_final
2016-10-23 09:46:45	ga_ls8c_ard_3-0-0_095072_2016-10-23_final
2016-10-23 11:25:38	ga_ls8c_ard_3-0-0_111072_2016-10-23_final
2016-10-24 10:30:01	ga_ls8c_ard_3-0-0_102072_2016-10-24_final
2016-10-28 10:05:18	ga_ls8c_ard_3-0-0_098072_2016-10-28_final
2016-10-29 10:48:33	ga_ls8c_ard_3-0-0_105072_2016-10-29_final
2016-10-30 09:52:56	ga_ls8c_ard_3-0-0_096072_2016-10-30_final
2016-10-30 11:31:49	ga_ls8c_ard_3-0-0_112072_2016-10-30_final
2016-10-31 10:36:12	ga_ls8c_ard_3-0-0_103072_2016-10-31_final
2016-12-24 09:59:00	ga_ls8c_ard_3-0-0_097072_2016-12-24_final
2016-12-24 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-12-24_final
2016-12-25 10:42:16	ga_ls8c_ard_3-0-0_104072_2016-12-25_final
2016-12-26 09:46:38	ga_ls8c_ard_3-0-0_095072_2016-12-26_final
2016-12-26 11:25:31	ga_ls8c_ard_3-0-0_111072_2016-12-26_final
2016-12-27 10:29:54	ga_ls8c_ard_3-0-0_102072_2016-12-27_final
2017-02-26 09:58:38	ga_ls8c_ard_3-0-0_097072_2017-02-26_final
2017-02-26 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-02-26_final
2017-02-27 10:41:54	ga_ls8c_ard_3-0-0_104072_2017-02-27_final
2017-02-28 09:46:16	ga_ls8c_ard_3-0-0_095072_2017-02-28_final
2017-02-28 11:25:09	ga_ls8c_ard_3-0-0_111072_2017-02-28_final
2017-03-01 10:29:31	ga_ls8c_ard_3-0-0_102072_2017-03-01_final
2017-03-06 10:48:01	ga_ls8c_ard_3-0-0_105072_2017-03-06_final
2017-03-07 09:52:23	ga_ls8c_ard_3-0-0_096072_2017-03-07_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2020-06-01 10:04:26	ga_ls8c_ard_3-1-0_098072_2020-06-01_final
2020-06-02 10:47:43	ga_ls8c_ard_3-1-0_105072_2020-06-02_final
2020-06-03 09:51:42	ga_ls8c_ard_3-1-0_096071_2020-06-03_final
2020-06-03 09:52:06	ga_ls8c_ard_3-1-0_096072_2020-06-03_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-17 10:04:12	ga_ls8c_ard_3-1-0_098071_2020-06-17_final
2020-06-17 10:04:36	ga_ls8c_ard_3-1-0_098072_2020-06-17_final
2020-06-18 10:47:29	ga_ls8c_ard_3-1-0_105071_2020-06-18_final
2020-06-18 10:47:53	ga_ls8c_ard_3-1-0_105072_2020-06-18_final
2020-06-19 09:52:16	ga_ls8c_ard_3-1-0_096072_2020-06-19_final
2020-06-19 11:31:09	ga_ls8c_ard_3-1-0_112072_2020-06-19_final
2020-07-23 09:39:44	ga_ls8c_ard_3-1-0_094071_2020-07-23_final
2020-07-23 09:40:08	ga_ls8c_ard_3-1-0_094072_2020-07-23_final
2020-07-23 11:19:01	ga_ls8c_ard_3-1-0_110072_2020-07-23_final
2020-07-24 10:23:00	ga_ls8c_ard_3-1-0_101071_2020-07-24_final
2020-07-24 10:23:24	ga_ls8c_ard_3-1-0_101072_2020-07-24_final
2020-07-25 09:27:23	ga_ls8c_ard_3-1-0_092071_2020-07-24_final
2020-07-25 09:27:47	ga_ls8c_ard_3-1-0_092072_2020-07-24_final
2020-07-25 11:06:40	ga_ls8c_ard_3-1-0_108072_2020-07-25_final
2020-08-01 09:33:59	ga_ls8c_ard_3-1-0_093072_2020-08-01_final
2020-08-01 11:12:52	ga_ls8c_ard_3-1-0_109072_2020-08-01_final
2020-08-02 10:16:51	ga_ls8c_ard_3-1-0_100071_2020-08-02_final
2020-08-02 10:17:15	ga_ls8c_ard_3-1-0_100072_2020-08-02_final
2020-08-03 09:21:38	ga_ls8c_ard_3-1-0_091072_2020-08-02_final
2020-08-03 11:00:31	ga_ls8c_ard_3-1-0_107072_2020-08-03_final
2020-08-09 10:23:27	ga_ls8c_ard_3-1-0_101072_2020-08-09_final
2020-08-10 09:27:26	ga_ls8c_ard_3-1-0_092071_2020-08-09_final
2020-08-10 09:27:50	ga_ls8c_ard_3-1-0_092072_2020-08-09_final
2020-08-10 11:06:43	ga_ls8c_ard_3-1-0_108072_2020-08-10_final
2020-08-11 10:11:06	ga_ls8c_ard_3-1-0_099072_2020-08-11_final
2020-08-12 10:53:58	ga_ls8c_ard_3-1-0_106071_2020-08-12_final
2020-08-12 10:54:22	ga_ls8c_ard_3-1-0_106072_2020-08-12_final
2020-08-13 09:58:45	ga_ls8c_ard_3-1-0_097072_2020-08-13_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-08-19 11:00:37	ga_ls8c_ard_3-1-0_107072_2020-08-19_final
2020-08-20 10:05:00	ga_ls8c_ard_3-1-0_098072_2020-08-20_final
2020-08-21 10:47:52	ga_ls8c_ard_3-1-0_105071_2020-08-21_final
2020-08-21 10:48:16	ga_ls8c_ard_3-1-0_105072_2020-08-21_final
2020-08-22 09:52:39	ga_ls8c_ard_3-1-0_096072_2020-08-22_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-08-26 11:06:51	ga_ls8c_ard_3-1-0_108072_2020-08-26_final
2020-08-27 10:11:14	ga_ls8c_ard_3-1-0_099072_2020-08-27_final
2020-11-10 09:52:52	ga_ls8c_ard_3-1-0_096072_2020-11-10_final
2020-11-10 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-11-10_final
2020-11-11 10:36:07	ga_ls8c_ard_3-1-0_103072_2020-11-11_final
2020-11-12 09:40:30	ga_ls8c_ard_3-1-0_094072_2020-11-12_final
2020-11-12 11:19:23	ga_ls8c_ard_3-1-0_110072_2020-11-12_final
2020-11-15 10:11:24	ga_ls8c_ard_3-1-0_099072_2020-11-15_final
2020-12-05 11:25:38	ga_ls8c_ard_3-1-0_111072_2020-12-05_final
2020-12-06 10:30:01	ga_ls8c_ard_3-1-0_102072_2020-12-06_final
2020-12-07 09:34:24	ga_ls8c_ard_3-1-0_093072_2020-12-07_final
2020-12-07 11:13:17	ga_ls8c_ard_3-1-0_109072_2020-12-07_final
2020-12-08 10:17:39	ga_ls8c_ard_3-1-0_100072_2020-12-08_final
2020-12-09 09:22:02	ga_ls8c_ard_3-1-0_091072_2020-12-08_final
2020-12-09 11:00:55	ga_ls8c_ard_3-1-0_107072_2020-12-09_final
2020-12-10 10:05:18	ga_ls8c_ard_3-1-0_098072_2020-12-10_final
2020-12-25 09:22:00	ga_ls8c_ard_3-2-0_091072_2020-12-24_final
2020-12-25 11:00:53	ga_ls8c_ard_3-2-0_107072_2020-12-25_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