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 10:01:36	ga_ls8c_ard_3-0-0_097079_2015-01-04_final
2015-01-04 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-01-04_final
2015-01-05 10:44:52	ga_ls8c_ard_3-0-0_104079_2015-01-05_final
2015-01-06 09:49:15	ga_ls8c_ard_3-0-0_095079_2015-01-06_final
2015-01-06 11:28:08	ga_ls8c_ard_3-0-0_111079_2015-01-06_final
2015-01-07 10:32:31	ga_ls8c_ard_3-0-0_102079_2015-01-07_final
2015-03-09 10:01:14	ga_ls8c_ard_3-0-0_097079_2015-03-09_final
2015-03-09 11:40:07	ga_ls8c_ard_3-0-0_113079_2015-03-09_final
2015-03-10 09:05:35	ga_ls8c_ard_3-0-0_088079_2015-03-09_final
2015-03-10 10:44:28	ga_ls8c_ard_3-0-0_104079_2015-03-10_final
2015-03-11 09:48:50	ga_ls8c_ard_3-0-0_095079_2015-03-11_final
2015-03-11 11:27:43	ga_ls8c_ard_3-0-0_111079_2015-03-11_final
2015-03-12 10:32:04	ga_ls8c_ard_3-0-0_102079_2015-03-12_final
2015-03-25 10:01:05	ga_ls8c_ard_3-0-0_097079_2015-03-25_final
2015-03-25 11:39:58	ga_ls8c_ard_3-0-0_113079_2015-03-25_final
2015-03-26 09:05:27	ga_ls8c_ard_3-0-0_088079_2015-03-25_final
2015-03-26 10:44:20	ga_ls8c_ard_3-0-0_104079_2015-03-26_final
2015-03-27 09:48:42	ga_ls8c_ard_3-0-0_095079_2015-03-27_final
2015-03-27 11:27:35	ga_ls8c_ard_3-0-0_111079_2015-03-27_final
2015-03-28 10:31:56	ga_ls8c_ard_3-0-0_102079_2015-03-28_final
2015-05-09 09:29:44	ga_ls8c_ard_3-0-0_092079_2015-05-08_final
2015-05-09 11:08:37	ga_ls8c_ard_3-0-0_108079_2015-05-09_final
2015-05-10 10:12:59	ga_ls8c_ard_3-0-0_099079_2015-05-10_final
2015-05-10 11:51:52	ga_ls8c_ard_3-0-0_115079_2015-05-10_final
2015-05-11 09:17:21	ga_ls8c_ard_3-0-0_090079_2015-05-10_final
2015-05-11 10:56:14	ga_ls8c_ard_3-0-0_106079_2015-05-11_final
2016-10-19 11:53:08	ga_ls8c_ard_3-0-0_115079_2016-10-19_final
2016-10-20 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-10-19_final
2016-10-20 10:57:31	ga_ls8c_ard_3-0-0_106079_2016-10-20_final
2016-11-20 10:14:15	ga_ls8c_ard_3-0-0_099079_2016-11-20_final
2016-11-20 11:53:09	ga_ls8c_ard_3-0-0_115079_2016-11-20_final
2016-11-21 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-11-20_final
2016-11-21 10:57:31	ga_ls8c_ard_3-0-0_106079_2016-11-21_final
2016-11-22 10:01:54	ga_ls8c_ard_3-0-0_097079_2016-11-22_final
2016-11-22 11:40:47	ga_ls8c_ard_3-0-0_113079_2016-11-22_final
2016-12-08 10:01:52	ga_ls8c_ard_3-0-0_097079_2016-12-08_final
2016-12-08 11:40:45	ga_ls8c_ard_3-0-0_113079_2016-12-08_final
2016-12-09 09:06:14	ga_ls8c_ard_3-0-0_088079_2016-12-08_final
2016-12-09 10:45:07	ga_ls8c_ard_3-0-0_104079_2016-12-09_final
2016-12-10 08:11:01	ga_ls8c_ard_3-2-1_079080_2016-12-09_final
2016-12-10 09:49:30	ga_ls8c_ard_3-0-0_095079_2016-12-10_final
2016-12-10 11:28:23	ga_ls8c_ard_3-0-0_111079_2016-12-10_final
2017-01-19 10:38:47	ga_ls8c_ard_3-0-0_103079_2017-01-19_final
2017-01-20 09:43:09	ga_ls8c_ard_3-0-0_094079_2017-01-20_final
2017-01-20 11:22:02	ga_ls8c_ard_3-0-0_110079_2017-01-20_final
2017-01-21 10:26:24	ga_ls8c_ard_3-0-0_101079_2017-01-21_final
2017-01-22 09:30:46	ga_ls8c_ard_3-0-0_092079_2017-01-22_final
2017-01-22 11:09:39	ga_ls8c_ard_3-0-0_108079_2017-01-22_final
2017-03-05 10:07:34	ga_ls8c_ard_3-0-0_098079_2017-03-05_final
2017-03-05 11:46:27	ga_ls8c_ard_3-0-0_114079_2017-03-05_final
2017-03-06 09:11:56	ga_ls8c_ard_3-0-0_089079_2017-03-05_final
2017-03-06 10:50:49	ga_ls8c_ard_3-0-0_105079_2017-03-06_final
2017-03-07 09:55:11	ga_ls8c_ard_3-0-0_096079_2017-03-07_final
2017-03-07 11:34:04	ga_ls8c_ard_3-0-0_112079_2017-03-07_final
2017-03-11 09:30:25	ga_ls8c_ard_3-0-0_092079_2017-03-11_final
2017-03-11 11:09:18	ga_ls8c_ard_3-0-0_108079_2017-03-11_final
2017-10-21 09:30:57	ga_ls8c_ard_3-0-0_092079_2017-10-21_final
2017-10-21 11:09:50	ga_ls8c_ard_3-0-0_108079_2017-10-21_final
2017-12-21 10:38:50	ga_ls8c_ard_3-0-0_103079_2017-12-21_final
2017-12-22 09:43:13	ga_ls8c_ard_3-0-0_094079_2017-12-22_final
2017-12-22 11:22:06	ga_ls8c_ard_3-0-0_110079_2017-12-22_final
2017-12-23 10:26:28	ga_ls8c_ard_3-0-0_101079_2017-12-23_final
2017-12-24 09:30:51	ga_ls8c_ard_3-0-0_092079_2017-12-24_final
2017-12-24 11:09:44	ga_ls8c_ard_3-0-0_108079_2017-12-24_final
2018-02-19 09:24:15	ga_ls8c_ard_3-0-0_091079_2018-02-18_final
2018-02-19 11:03:08	ga_ls8c_ard_3-0-0_107079_2018-02-19_final
2018-02-20 10:07:31	ga_ls8c_ard_3-0-0_098079_2018-02-20_final
2018-02-20 11:46:24	ga_ls8c_ard_3-0-0_114079_2018-02-20_final
2018-02-21 09:11:53	ga_ls8c_ard_3-0-0_089079_2018-02-20_final
2018-02-21 10:50:46	ga_ls8c_ard_3-0-0_105079_2018-02-21_final
2018-02-22 09:55:08	ga_ls8c_ard_3-0-0_096079_2018-02-22_final
2018-02-22 11:34:01	ga_ls8c_ard_3-0-0_112079_2018-02-22_final
2018-02-23 10:38:23	ga_ls8c_ard_3-1-0_103079_2018-02-23_final
2018-02-24 09:42:46	ga_ls8c_ard_3-0-0_094079_2018-02-24_final
2018-02-24 11:21:39	ga_ls8c_ard_3-0-0_110079_2018-02-24_final
2018-02-25 10:26:01	ga_ls8c_ard_3-0-0_101079_2018-02-25_final
2018-02-26 09:30:23	ga_ls8c_ard_3-0-0_092079_2018-02-26_final
2018-02-26 11:09:16	ga_ls8c_ard_3-0-0_108079_2018-02-26_final
2018-03-31 10:13:22	ga_ls8c_ard_3-0-0_099079_2018-03-31_final
2018-03-31 11:52:15	ga_ls8c_ard_3-0-0_115079_2018-03-31_final
2018-04-01 09:17:45	ga_ls8c_ard_3-0-0_090079_2018-03-31_final
2018-04-01 10:56:38	ga_ls8c_ard_3-0-0_106079_2018-04-01_final
2018-04-02 10:01:00	ga_ls8c_ard_3-0-0_097079_2018-04-02_final
2018-04-02 11:39:53	ga_ls8c_ard_3-0-0_113079_2018-04-02_final
2018-04-03 09:05:22	ga_ls8c_ard_3-0-0_088079_2018-04-02_final
2018-04-03 10:44:15	ga_ls8c_ard_3-0-0_104079_2018-04-03_final
2018-04-04 09:48:37	ga_ls8c_ard_3-0-0_095079_2018-04-04_final
2018-04-04 11:27:30	ga_ls8c_ard_3-0-0_111079_2018-04-04_final
2018-04-05 10:31:52	ga_ls8c_ard_3-0-0_102079_2018-04-05_final
2018-05-05 09:05:04	ga_ls8c_ard_3-0-0_088079_2018-05-04_final
2018-05-05 10:43:57	ga_ls8c_ard_3-0-0_104079_2018-05-05_final
2018-05-06 09:48:19	ga_ls8c_ard_3-0-0_095079_2018-05-06_final
2018-05-06 11:27:12	ga_ls8c_ard_3-0-0_111079_2018-05-06_final
2018-05-07 10:31:34	ga_ls8c_ard_3-0-0_102079_2018-05-07_final
2018-07-17 10:37:49	ga_ls8c_ard_3-0-0_103079_2018-07-17_final
2018-07-17 10:38:13	ga_ls8c_ard_3-0-0_103080_2018-07-17_final
2018-07-18 09:42:12	ga_ls8c_ard_3-0-0_094079_2018-07-18_final
2018-07-18 11:21:05	ga_ls8c_ard_3-0-0_110079_2018-07-18_final
2018-07-18 11:21:29	ga_ls8c_ard_3-0-0_110080_2018-07-18_final
2018-07-19 10:25:28	ga_ls8c_ard_3-0-0_101079_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