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
2013-04-01 11:49:24	ga_ls8c_ard_3-0-0_114075_2013-04-01_final
2013-05-20 11:53:37	ga_ls8c_ard_3-0-0_115076_2013-05-20_final
2013-06-05 11:53:39	ga_ls8c_ard_3-0-0_115076_2013-06-05_final
2013-07-07 11:53:35	ga_ls8c_ard_3-0-0_115076_2013-07-07_final
2013-07-23 11:53:34	ga_ls8c_ard_3-0-0_115076_2013-07-23_final
2013-08-08 11:53:37	ga_ls8c_ard_3-0-0_115076_2013-08-08_final
2013-09-09 11:53:37	ga_ls8c_ard_3-0-0_115076_2013-09-09_final
2013-10-27 11:53:20	ga_ls8c_ard_3-0-0_115076_2013-10-27_final
2013-11-28 11:53:13	ga_ls8c_ard_3-0-0_115076_2013-11-28_final
2014-01-31 11:52:41	ga_ls8c_ard_3-0-0_115076_2014-01-31_final
2014-02-16 11:52:27	ga_ls8c_ard_3-0-0_115076_2014-02-16_final
2014-03-20 11:52:02	ga_ls8c_ard_3-0-0_115076_2014-03-20_final
2014-06-08 11:51:16	ga_ls8c_ard_3-0-0_115076_2014-06-08_final
2014-06-24 11:51:19	ga_ls8c_ard_3-0-0_115076_2014-06-24_final
2014-08-04 11:45:01	ga_ls8c_ard_3-0-0_114075_2014-08-04_final
2014-08-11 11:51:39	ga_ls8c_ard_3-0-0_115076_2014-08-11_final
2014-09-28 11:51:44	ga_ls8c_ard_3-0-0_115076_2014-09-28_final
2014-10-23 11:45:15	ga_ls8c_ard_3-0-0_114075_2014-10-23_final
2014-10-30 11:51:45	ga_ls8c_ard_3-0-0_115076_2014-10-30_final
2014-11-15 11:51:49	ga_ls8c_ard_3-0-0_115076_2014-11-15_final
2014-12-01 11:51:48	ga_ls8c_ard_3-0-0_115076_2014-12-01_final
2014-12-17 11:51:43	ga_ls8c_ard_3-0-0_115076_2014-12-17_final
2015-02-03 11:51:33	ga_ls8c_ard_3-0-0_115076_2015-02-03_final
2015-02-19 11:51:25	ga_ls8c_ard_3-0-0_115076_2015-02-19_final
2015-03-07 11:51:18	ga_ls8c_ard_3-0-0_115076_2015-03-07_final
2015-05-26 11:50:40	ga_ls8c_ard_3-0-0_115076_2015-05-26_final
2015-06-27 11:50:57	ga_ls8c_ard_3-0-0_115076_2015-06-27_final
2015-07-13 11:51:08	ga_ls8c_ard_3-0-0_115076_2015-07-13_final
2015-07-29 11:51:13	ga_ls8c_ard_3-0-0_115076_2015-07-29_final
2015-11-18 11:51:44	ga_ls8c_ard_3-0-0_115076_2015-11-18_final
2015-12-04 11:51:45	ga_ls8c_ard_3-0-0_115076_2015-12-04_final
2015-12-13 11:45:09	ga_ls8c_ard_3-0-0_114075_2015-12-13_final
2016-02-06 11:51:38	ga_ls8c_ard_3-0-0_115076_2016-02-06_final
2016-04-10 11:51:13	ga_ls8c_ard_3-0-0_115076_2016-04-10_final
2016-04-26 11:51:08	ga_ls8c_ard_3-0-0_115076_2016-04-26_final
2016-07-15 11:51:33	ga_ls8c_ard_3-0-0_115076_2016-07-15_final
2016-07-31 11:51:37	ga_ls8c_ard_3-0-0_115076_2016-07-31_final
2016-09-01 11:51:47	ga_ls8c_ard_3-0-0_115076_2016-09-01_final
2016-10-19 11:51:57	ga_ls8c_ard_3-0-0_115076_2016-10-19_final
2016-12-06 11:51:55	ga_ls8c_ard_3-0-0_115076_2016-12-06_final
2016-12-08 11:41:57	ga_ls8c_ard_3-0-0_113082_2016-12-08_final
2017-01-09 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-01-09_final
2017-01-23 11:51:43	ga_ls8c_ard_3-0-0_115076_2017-01-23_final
2017-01-25 11:41:44	ga_ls8c_ard_3-0-0_113082_2017-01-25_final
2017-02-10 11:41:36	ga_ls8c_ard_3-0-0_113082_2017-02-10_final
2017-02-24 11:51:30	ga_ls8c_ard_3-0-0_115076_2017-02-24_final
2017-02-26 11:41:31	ga_ls8c_ard_3-0-0_113082_2017-02-26_final
2017-03-12 11:51:22	ga_ls8c_ard_3-0-0_115076_2017-03-12_final
2017-03-14 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-03-14_final
2017-03-28 11:51:12	ga_ls8c_ard_3-0-0_115076_2017-03-28_final
2017-04-15 11:41:06	ga_ls8c_ard_3-0-0_113082_2017-04-15_final
2017-04-22 11:44:24	ga_ls8c_ard_3-0-0_114075_2017-04-22_final
2017-04-29 11:50:54	ga_ls8c_ard_3-0-0_115076_2017-04-29_final
2017-05-17 11:41:05	ga_ls8c_ard_3-0-0_113082_2017-05-17_final
2017-05-31 11:51:12	ga_ls8c_ard_3-0-0_115076_2017-05-31_final
2017-06-02 11:41:15	ga_ls8c_ard_3-0-0_113082_2017-06-02_final
2017-06-18 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-06-18_final
2017-07-04 11:41:26	ga_ls8c_ard_3-0-0_113082_2017-07-04_final
2017-07-20 11:41:30	ga_ls8c_ard_3-0-0_113082_2017-07-20_final
2017-08-05 11:41:38	ga_ls8c_ard_3-0-0_113082_2017-08-05_final
2017-08-21 11:41:43	ga_ls8c_ard_3-0-0_113082_2017-08-21_final
2017-09-06 11:41:45	ga_ls8c_ard_3-0-0_113082_2017-09-06_final
2017-09-20 11:51:45	ga_ls8c_ard_3-0-0_115076_2017-09-20_final
2017-10-06 11:51:52	ga_ls8c_ard_3-0-0_115076_2017-10-06_final
2017-10-08 11:41:54	ga_ls8c_ard_3-0-0_113082_2017-10-08_final
2017-11-09 11:41:55	ga_ls8c_ard_3-0-0_113082_2017-11-09_final
2017-11-23 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-11-23_final
2017-11-25 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-11-25_final
2017-12-11 11:41:47	ga_ls8c_ard_3-0-0_113082_2017-12-11_final
2017-12-27 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-12-27_final
2018-01-12 11:41:43	ga_ls8c_ard_3-0-0_113082_2018-01-12_final
2018-01-19 11:45:03	ga_ls8c_ard_3-0-0_114075_2018-01-19_final
2018-01-28 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-01-28_final
2018-02-20 11:44:48	ga_ls8c_ard_3-0-0_114075_2018-02-20_final
2018-03-01 11:41:21	ga_ls8c_ard_3-0-0_113082_2018-03-01_final
2018-03-31 11:51:04	ga_ls8c_ard_3-0-0_115076_2018-03-31_final
2018-04-02 11:41:05	ga_ls8c_ard_3-0-0_113082_2018-04-02_final
2018-04-18 11:40:55	ga_ls8c_ard_3-0-0_113082_2018-04-18_final
2018-05-04 11:40:47	ga_ls8c_ard_3-0-0_113082_2018-05-04_final
2018-05-18 11:50:35	ga_ls8c_ard_3-0-0_115076_2018-05-18_final
2018-05-20 11:40:35	ga_ls8c_ard_3-0-0_113082_2018-05-20_final
2018-06-12 11:43:53	ga_ls8c_ard_3-0-0_114075_2018-06-12_final
2018-06-21 11:40:36	ga_ls8c_ard_3-0-0_113082_2018-06-21_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-07-21 11:50:49	ga_ls8c_ard_3-0-0_115076_2018-07-21_final
2018-07-23 11:40:51	ga_ls8c_ard_3-0-0_113082_2018-07-23_final
2018-08-06 11:50:57	ga_ls8c_ard_3-0-0_115076_2018-08-06_final
2018-08-08 11:41:00	ga_ls8c_ard_3-0-0_113082_2018-08-08_final
2018-09-07 11:51:11	ga_ls8c_ard_3-0-0_115076_2018-09-07_final
2018-09-09 11:41:14	ga_ls8c_ard_3-0-0_113082_2018-09-09_final
2018-10-11 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-10-11_final
2018-10-25 11:51:30	ga_ls8c_ard_3-0-0_115076_2018-10-25_final
2018-10-27 11:41:32	ga_ls8c_ard_3-0-0_113082_2018-10-27_final
2018-11-10 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-10_final
2018-11-12 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-11-12_final
2018-11-26 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-26_final
2018-11-28 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-11-28_final
2018-12-12 11:51:29	ga_ls8c_ard_3-0-0_115076_2018-12-12_final
2018-12-14 11:41:30	ga_ls8c_ard_3-0-0_113082_2018-12-14_final
2018-12-28 11:51:29	ga_ls8c_ard_3-0-0_115076_2018-12-28_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