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
2013-04-03 09:49:49	ga_ls8c_ard_3-0-0_095076_2013-04-03_final
2013-08-12 09:50:00	ga_ls8c_ard_3-0-0_095076_2013-08-12_final
2013-12-02 09:49:37	ga_ls8c_ard_3-0-0_095076_2013-12-02_final
2013-12-18 09:49:29	ga_ls8c_ard_3-0-0_095076_2013-12-18_final
2014-02-04 09:49:01	ga_ls8c_ard_3-0-0_095076_2014-02-04_final
2014-03-24 09:48:21	ga_ls8c_ard_3-0-0_095076_2014-03-24_final
2014-05-27 09:47:32	ga_ls8c_ard_3-0-0_095076_2014-05-27_final
2014-06-12 09:47:42	ga_ls8c_ard_3-0-0_095076_2014-06-12_final
2014-08-15 09:48:04	ga_ls8c_ard_3-0-0_095076_2014-08-15_final
2014-10-02 09:48:10	ga_ls8c_ard_3-0-0_095076_2014-10-02_final
2014-10-18 09:48:14	ga_ls8c_ard_3-0-0_095076_2014-10-18_final
2014-11-03 09:48:12	ga_ls8c_ard_3-0-0_095076_2014-11-03_final
2014-12-05 09:48:10	ga_ls8c_ard_3-0-0_095076_2014-12-05_final
2015-04-12 09:47:23	ga_ls8c_ard_3-0-0_095076_2015-04-12_final
2015-04-26 11:40:57	ga_ls8c_ard_3-0-0_113082_2015-04-26_final
2015-04-28 09:47:17	ga_ls8c_ard_3-0-0_095076_2015-04-28_final
2015-05-12 11:40:41	ga_ls8c_ard_3-0-0_113082_2015-05-12_final
2015-05-14 09:47:01	ga_ls8c_ard_3-0-0_095076_2015-05-14_final
2015-07-01 09:47:23	ga_ls8c_ard_3-0-0_095076_2015-07-01_final
2015-07-15 11:41:11	ga_ls8c_ard_3-0-0_113082_2015-07-15_final
2015-08-02 09:47:37	ga_ls8c_ard_3-0-0_095076_2015-08-02_final
2015-09-03 09:47:49	ga_ls8c_ard_3-0-0_095076_2015-09-03_final
2015-09-17 11:41:35	ga_ls8c_ard_3-0-0_113082_2015-09-17_final
2015-12-06 11:41:46	ga_ls8c_ard_3-0-0_113082_2015-12-06_final
2016-03-11 11:41:30	ga_ls8c_ard_3-0-0_113082_2016-03-11_final
2016-03-13 09:47:51	ga_ls8c_ard_3-0-0_095076_2016-03-13_final
2016-04-12 11:41:15	ga_ls8c_ard_3-0-0_113082_2016-04-12_final
2016-04-14 09:47:36	ga_ls8c_ard_3-0-0_095076_2016-04-14_final
2016-04-30 09:47:35	ga_ls8c_ard_3-0-0_095076_2016-04-30_final
2016-05-14 11:41:11	ga_ls8c_ard_3-0-0_113082_2016-05-14_final
2016-05-16 09:47:33	ga_ls8c_ard_3-0-0_095076_2016-05-16_final
2016-05-30 11:41:17	ga_ls8c_ard_3-0-0_113082_2016-05-30_final
2016-06-01 09:47:40	ga_ls8c_ard_3-0-0_095076_2016-06-01_final
2016-07-17 11:41:36	ga_ls8c_ard_3-0-0_113082_2016-07-17_final
2016-09-05 09:48:12	ga_ls8c_ard_3-0-0_095076_2016-09-05_final
2016-09-21 09:48:14	ga_ls8c_ard_3-0-0_095076_2016-09-21_final
2016-10-05 11:41:55	ga_ls8c_ard_3-0-0_113082_2016-10-05_final
2016-10-07 09:48:17	ga_ls8c_ard_3-0-0_095076_2016-10-07_final
2016-11-06 11:41:59	ga_ls8c_ard_3-0-0_113082_2016-11-06_final
2016-11-08 09:48:20	ga_ls8c_ard_3-0-0_095076_2016-11-08_final
2016-12-10 09:48:18	ga_ls8c_ard_3-0-0_095076_2016-12-10_final
2017-01-09 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-01-09_final
2017-01-11 09:48:11	ga_ls8c_ard_3-0-0_095076_2017-01-11_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
2017-02-12 09:47:57	ga_ls8c_ard_3-0-0_095076_2017-02-12_final
2017-02-26 11:41:31	ga_ls8c_ard_3-0-0_113082_2017-02-26_final
2017-03-14 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-03-14_final
2017-03-30 11:41:14	ga_ls8c_ard_3-0-0_113082_2017-03-30_final
2017-04-15 11:41:06	ga_ls8c_ard_3-0-0_113082_2017-04-15_final
2017-05-01 11:40:55	ga_ls8c_ard_3-0-0_113082_2017-05-01_final
2017-05-17 11:41:05	ga_ls8c_ard_3-0-0_113082_2017-05-17_final
2017-05-19 09:47:28	ga_ls8c_ard_3-0-0_095076_2017-05-19_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
2017-08-07 09:48:00	ga_ls8c_ard_3-0-0_095076_2017-08-07_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
2017-09-08 09:48:07	ga_ls8c_ard_3-0-0_095076_2017-09-08_final
2017-09-22 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-09-22_final
2017-10-08 11:41:54	ga_ls8c_ard_3-0-0_113082_2017-10-08_final
2017-10-10 09:48:16	ga_ls8c_ard_3-0-0_095076_2017-10-10_final
2017-10-24 11:41:57	ga_ls8c_ard_3-0-0_113082_2017-10-24_final
2017-11-09 11:41:55	ga_ls8c_ard_3-0-0_113082_2017-11-09_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
2017-12-29 09:48:10	ga_ls8c_ard_3-0-0_095076_2017-12-29_final
2018-01-12 11:41:43	ga_ls8c_ard_3-0-0_113082_2018-01-12_final
2018-01-28 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-01-28_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-03-01 11:41:21	ga_ls8c_ard_3-0-0_113082_2018-03-01_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-03-19 09:47:32	ga_ls8c_ard_3-0-0_095076_2018-03-19_final
2018-04-02 11:41:05	ga_ls8c_ard_3-0-0_113082_2018-04-02_final
2018-04-04 09:47:25	ga_ls8c_ard_3-0-0_095076_2018-04-04_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
2018-05-06 09:47:07	ga_ls8c_ard_3-0-0_095076_2018-05-06_final
2018-05-20 11:40:35	ga_ls8c_ard_3-0-0_113082_2018-05-20_final
2018-05-22 09:46:56	ga_ls8c_ard_3-0-0_095076_2018-05-22_final
2018-06-05 11:40:25	ga_ls8c_ard_3-0-0_113082_2018-06-05_final
2018-06-07 09:46:47	ga_ls8c_ard_3-0-0_095076_2018-06-07_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
2018-07-23 11:40:51	ga_ls8c_ard_3-0-0_113082_2018-07-23_final
2018-08-08 11:41:00	ga_ls8c_ard_3-0-0_113082_2018-08-08_final
2018-08-10 09:47:23	ga_ls8c_ard_3-0-0_095076_2018-08-10_final
2018-08-24 11:41:08	ga_ls8c_ard_3-0-0_113082_2018-08-24_final
2018-09-09 11:41:14	ga_ls8c_ard_3-0-0_113082_2018-09-09_final
2018-09-25 11:41:19	ga_ls8c_ard_3-0-0_113082_2018-09-25_final
2018-09-27 09:47:42	ga_ls8c_ard_3-0-0_095076_2018-09-27_final
2018-10-11 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-10-11_final
2018-10-27 11:41:32	ga_ls8c_ard_3-0-0_113082_2018-10-27_final
2018-11-12 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-11-12_final
2018-11-28 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-11-28_final
2018-12-14 11:41:30	ga_ls8c_ard_3-0-0_113082_2018-12-14_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