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
2013-04-08 09:49:39	ga_ls8c_ard_3-0-0_094085_2013-04-08_final
2013-04-18 11:54:13	ga_ls8c_ard_3-0-0_115078_2013-04-18_final
2013-06-21 11:54:19	ga_ls8c_ard_3-0-0_115078_2013-06-21_final
2013-08-08 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-08-08_final
2013-10-27 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-10-27_final
2013-11-12 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-11-12_final
2013-12-27 09:46:51	ga_ls8c_ard_3-0-0_094085_2013-12-27_final
2014-04-05 11:52:35	ga_ls8c_ard_3-0-0_115078_2014-04-05_final
2014-05-07 11:52:02	ga_ls8c_ard_3-0-0_115078_2014-05-07_final
2014-05-20 09:44:55	ga_ls8c_ard_3-0-0_094085_2014-05-20_final
2014-05-23 11:51:54	ga_ls8c_ard_3-0-0_115078_2014-05-23_final
2014-06-08 11:52:04	ga_ls8c_ard_3-0-0_115078_2014-06-08_final
2014-06-24 11:52:07	ga_ls8c_ard_3-0-0_115078_2014-06-24_final
2014-07-23 09:45:17	ga_ls8c_ard_3-0-0_094085_2014-07-23_final
2014-08-11 11:52:27	ga_ls8c_ard_3-0-0_115078_2014-08-11_final
2014-08-27 11:52:29	ga_ls8c_ard_3-0-0_115078_2014-08-27_final
2014-09-12 11:52:33	ga_ls8c_ard_3-0-0_115078_2014-09-12_final
2014-09-25 09:45:29	ga_ls8c_ard_3-0-0_094085_2014-09-25_final
2014-09-28 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-09-28_final
2014-10-30 11:52:33	ga_ls8c_ard_3-0-0_115078_2014-10-30_final
2015-01-02 11:52:26	ga_ls8c_ard_3-0-0_115078_2015-01-02_final
2015-01-18 11:52:24	ga_ls8c_ard_3-0-0_115078_2015-01-18_final
2015-02-19 11:52:13	ga_ls8c_ard_3-0-0_115078_2015-02-19_final
2015-04-08 11:51:47	ga_ls8c_ard_3-0-0_115078_2015-04-08_final
2015-04-21 09:44:46	ga_ls8c_ard_3-0-0_094085_2015-04-21_final
2015-05-07 09:44:32	ga_ls8c_ard_3-0-0_094085_2015-05-07_final
2015-05-10 11:51:28	ga_ls8c_ard_3-0-0_115078_2015-05-10_final
2015-06-27 11:51:45	ga_ls8c_ard_3-0-0_115078_2015-06-27_final
2015-07-29 11:52:01	ga_ls8c_ard_3-0-0_115078_2015-07-29_final
2015-09-28 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-09-28_final
2015-10-01 11:52:25	ga_ls8c_ard_3-0-0_115078_2015-10-01_final
2015-10-17 11:52:25	ga_ls8c_ard_3-0-0_115078_2015-10-17_final
2015-11-02 11:52:31	ga_ls8c_ard_3-0-0_115078_2015-11-02_final
2015-12-07 09:07:40	ga_ls8c_ard_3-0-0_088083_2015-12-06_final
2015-12-20 11:52:33	ga_ls8c_ard_3-0-0_115078_2015-12-20_final
2016-02-03 09:45:27	ga_ls8c_ard_3-0-0_094085_2016-02-03_final
2016-02-19 09:45:18	ga_ls8c_ard_3-0-0_094085_2016-02-19_final
2016-02-22 11:52:18	ga_ls8c_ard_3-0-0_115078_2016-02-22_final
2016-04-10 11:52:01	ga_ls8c_ard_3-0-0_115078_2016-04-10_final
2016-05-09 09:44:59	ga_ls8c_ard_3-0-0_094085_2016-05-09_final
2016-05-12 11:51:56	ga_ls8c_ard_3-0-0_115078_2016-05-12_final
2016-06-26 09:45:13	ga_ls8c_ard_3-0-0_094085_2016-06-26_final
2016-10-19 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-10-19_final
2016-12-06 11:52:43	ga_ls8c_ard_3-0-0_115078_2016-12-06_final
2017-01-07 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-01-07_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-04-26 09:44:45	ga_ls8c_ard_3-0-0_094085_2017-04-26_final
2017-05-15 11:51:26	ga_ls8c_ard_3-0-0_115077_2017-05-15_final
2017-08-16 09:45:28	ga_ls8c_ard_3-0-0_094085_2017-08-16_final
2017-08-19 11:52:28	ga_ls8c_ard_3-0-0_115078_2017-08-19_final
2017-09-01 09:45:31	ga_ls8c_ard_3-0-0_094085_2017-09-01_final
2017-10-03 09:45:39	ga_ls8c_ard_3-0-0_094085_2017-10-03_final
2018-02-24 09:45:09	ga_ls8c_ard_3-0-0_094085_2018-02-24_final
2018-02-27 11:52:07	ga_ls8c_ard_3-0-0_115078_2018-02-27_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-04-13 09:44:45	ga_ls8c_ard_3-0-0_094085_2018-04-13_final
2018-06-16 09:44:19	ga_ls8c_ard_3-0-0_094085_2018-06-16_final
2018-06-19 11:51:20	ga_ls8c_ard_3-0-0_115078_2018-06-19_final
2018-08-22 11:51:53	ga_ls8c_ard_3-0-0_115078_2018-08-22_final
2018-09-04 09:44:59	ga_ls8c_ard_3-0-0_094085_2018-09-04_final
2018-10-25 11:51:54	ga_ls8c_ard_3-0-0_115077_2018-10-25_final
2018-11-10 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-10_final
2018-11-26 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-26_final
2018-12-12 11:52:17	ga_ls8c_ard_3-0-0_115078_2018-12-12_final
2019-01-01 09:48:40	ga_ls8c_ard_3-0-0_095078_2019-01-01_final
2019-01-01 09:50:40	ga_ls8c_ard_3-0-0_095083_2019-01-01_final
2019-01-01 09:52:40	ga_ls8c_ard_3-0-0_095088_2019-01-01_final
2019-01-04 11:58:03	ga_ls8c_ard_3-0-0_116077_2019-01-04_final
2019-01-10 09:44:04	ga_ls8c_ard_3-0-0_094082_2019-01-10_final
2019-01-13 11:52:15	ga_ls8c_ard_3-0-0_115078_2019-01-13_final
2019-01-17 09:48:38	ga_ls8c_ard_3-0-0_095078_2019-01-17_final
2019-01-17 09:50:37	ga_ls8c_ard_3-0-0_095083_2019-01-17_final
2019-01-20 11:58:00	ga_ls8c_ard_3-0-0_116077_2019-01-20_final
2019-01-26 09:44:00	ga_ls8c_ard_3-0-0_094082_2019-01-26_final
2019-01-26 09:45:12	ga_ls8c_ard_3-0-0_094085_2019-01-26_final
2019-01-29 11:51:47	ga_ls8c_ard_3-0-0_115077_2019-01-29_final
2019-02-02 09:48:34	ga_ls8c_ard_3-0-0_095078_2019-02-02_final
2019-02-02 09:50:34	ga_ls8c_ard_3-0-0_095083_2019-02-02_final
2019-02-11 09:41:34	ga_ls8c_ard_3-0-0_094076_2019-02-11_final
2019-02-11 09:42:22	ga_ls8c_ard_3-0-0_094078_2019-02-11_final
2019-02-11 09:43:58	ga_ls8c_ard_3-0-0_094082_2019-02-11_final
2019-02-11 09:46:22	ga_ls8c_ard_3-0-0_094088_2019-02-11_final
2019-02-14 11:52:09	ga_ls8c_ard_3-0-0_115078_2019-02-14_final
2019-02-18 09:48:32	ga_ls8c_ard_3-0-0_095078_2019-02-18_final
2019-02-18 09:50:31	ga_ls8c_ard_3-0-0_095083_2019-02-18_final
2019-02-27 09:43:54	ga_ls8c_ard_3-0-0_094082_2019-02-27_final
2019-02-27 09:46:18	ga_ls8c_ard_3-0-0_094088_2019-02-27_final
2019-03-06 09:48:27	ga_ls8c_ard_3-0-0_095078_2019-03-06_final
2019-03-06 09:50:27	ga_ls8c_ard_3-0-0_095083_2019-03-06_final
2019-05-09 09:48:18	ga_ls8c_ard_3-0-0_095078_2019-05-09_final
2019-05-09 09:50:18	ga_ls8c_ard_3-0-0_095083_2019-05-09_final
2019-05-18 09:41:25	ga_ls8c_ard_3-0-0_094076_2019-05-18_final
2019-05-18 09:43:49	ga_ls8c_ard_3-0-0_094082_2019-05-18_final
2019-05-18 09:45:01	ga_ls8c_ard_3-0-0_094085_2019-05-18_final
2019-05-25 09:50:28	ga_ls8c_ard_3-0-0_095083_2019-05-25_final
2019-06-03 09:41:34	ga_ls8c_ard_3-0-0_094076_2019-06-03_final
2019-06-03 09:46:21	ga_ls8c_ard_3-0-0_094088_2019-06-03_final
2019-06-06 11:51:46	ga_ls8c_ard_3-0-0_115077_2019-06-06_final
2019-06-10 09:48:35	ga_ls8c_ard_3-0-0_095078_2019-06-10_final
2019-06-10 09:50:11	ga_ls8c_ard_3-0-0_095082_2019-06-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years