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
2013-03-27 10:15:52	ga_ls8c_ard_3-0-0_099077_2013-03-27_final
2013-04-18 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-04-18_final
2013-04-20 11:43:26	ga_ls8c_ard_3-0-0_113082_2013-04-20_final
2013-05-22 11:43:40	ga_ls8c_ard_3-0-0_113082_2013-05-22_final
2013-05-28 09:28:08	ga_ls8c_ard_3-0-0_091083_2013-05-27_final
2013-06-23 11:43:33	ga_ls8c_ard_3-0-0_113082_2013-06-23_final
2013-07-09 11:43:38	ga_ls8c_ard_3-0-0_113082_2013-07-09_final
2013-08-10 11:43:39	ga_ls8c_ard_3-0-0_113082_2013-08-10_final
2013-08-26 11:43:41	ga_ls8c_ard_3-0-0_113082_2013-08-26_final
2013-09-01 09:28:07	ga_ls8c_ard_3-0-0_091083_2013-08-31_final
2013-09-27 11:43:30	ga_ls8c_ard_3-0-0_113082_2013-09-27_final
2013-10-27 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-10-27_final
2013-11-12 10:14:51	ga_ls8c_ard_3-0-0_099077_2013-11-12_final
2014-01-07 09:27:23	ga_ls8c_ard_3-0-0_091083_2014-01-06_final
2014-02-24 09:26:49	ga_ls8c_ard_3-0-0_091083_2014-02-23_final
2014-03-04 10:13:41	ga_ls8c_ard_3-0-0_099077_2014-03-04_final
2014-03-12 09:26:37	ga_ls8c_ard_3-0-0_091083_2014-03-11_final
2014-04-05 10:13:18	ga_ls8c_ard_3-0-0_099077_2014-04-05_final
2014-04-07 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-04-07_final
2014-04-21 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-04-21_final
2014-04-23 11:41:31	ga_ls8c_ard_3-0-0_113082_2014-04-23_final
2014-04-29 09:25:51	ga_ls8c_ard_3-0-0_091083_2014-04-28_final
2014-05-23 10:12:37	ga_ls8c_ard_3-0-0_099077_2014-05-23_final
2014-05-25 11:41:09	ga_ls8c_ard_3-0-0_113082_2014-05-25_final
2014-06-26 11:41:21	ga_ls8c_ard_3-0-0_113082_2014-06-26_final
2014-07-12 11:41:30	ga_ls8c_ard_3-0-0_113082_2014-07-12_final
2014-07-18 09:25:57	ga_ls8c_ard_3-0-0_091083_2014-07-17_final
2014-07-26 10:13:01	ga_ls8c_ard_3-0-0_099077_2014-07-26_final
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-08-11 10:13:10	ga_ls8c_ard_3-0-0_099077_2014-08-11_final
2014-08-27 10:13:12	ga_ls8c_ard_3-0-0_099077_2014-08-27_final
2014-09-12 10:13:16	ga_ls8c_ard_3-0-0_099077_2014-09-12_final
2014-09-30 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-30_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-11-15 10:13:20	ga_ls8c_ard_3-0-0_099077_2014-11-15_final
2014-11-17 11:41:50	ga_ls8c_ard_3-0-0_113082_2014-11-17_final
2014-11-23 09:26:14	ga_ls8c_ard_3-0-0_091083_2014-11-22_final
2015-03-07 10:12:49	ga_ls8c_ard_3-0-0_099077_2015-03-07_final
2015-04-10 11:41:00	ga_ls8c_ard_3-0-0_113082_2015-04-10_final
2015-05-12 11:40:41	ga_ls8c_ard_3-0-0_113082_2015-05-12_final
2015-06-11 10:12:22	ga_ls8c_ard_3-0-0_099077_2015-06-11_final
2015-06-13 11:40:55	ga_ls8c_ard_3-0-0_113082_2015-06-13_final
2015-06-29 11:41:01	ga_ls8c_ard_3-0-0_113082_2015-06-29_final
2015-07-13 10:12:39	ga_ls8c_ard_3-0-0_099077_2015-07-13_final
2015-07-29 10:12:44	ga_ls8c_ard_3-0-0_099077_2015-07-29_final
2015-08-14 10:12:49	ga_ls8c_ard_3-0-0_099077_2015-08-14_final
2015-08-16 11:41:21	ga_ls8c_ard_3-0-0_113082_2015-08-16_final
2015-09-17 11:41:35	ga_ls8c_ard_3-0-0_113082_2015-09-17_final
2015-11-02 10:13:14	ga_ls8c_ard_3-0-0_099077_2015-11-02_final
2015-12-20 10:13:16	ga_ls8c_ard_3-0-0_099077_2015-12-20_final
2015-12-22 11:41:47	ga_ls8c_ard_3-0-0_113082_2015-12-22_final
2016-01-07 11:41:42	ga_ls8c_ard_3-0-0_113082_2016-01-07_final
2016-03-01 09:25:58	ga_ls8c_ard_3-0-0_091083_2016-02-29_final
2016-03-09 10:12:59	ga_ls8c_ard_3-0-0_099077_2016-03-09_final
2016-03-25 10:12:51	ga_ls8c_ard_3-0-0_099077_2016-03-25_final
2016-04-10 10:12:44	ga_ls8c_ard_3-0-0_099077_2016-04-10_final
2016-04-26 10:12:38	ga_ls8c_ard_3-0-0_099077_2016-04-26_final
2016-05-04 09:25:42	ga_ls8c_ard_3-0-0_091083_2016-05-03_final
2016-05-12 10:12:39	ga_ls8c_ard_3-0-0_099077_2016-05-12_final
2016-05-14 11:41:11	ga_ls8c_ard_3-0-0_113082_2016-05-14_final
2016-05-28 10:12:46	ga_ls8c_ard_3-0-0_099077_2016-05-28_final
2016-05-30 11:41:17	ga_ls8c_ard_3-0-0_113082_2016-05-30_final
2016-06-15 11:41:20	ga_ls8c_ard_3-0-0_113082_2016-06-15_final
2016-07-17 11:41:36	ga_ls8c_ard_3-0-0_113082_2016-07-17_final
2016-08-16 10:13:11	ga_ls8c_ard_3-0-0_099077_2016-08-16_final
2016-10-05 11:41:55	ga_ls8c_ard_3-0-0_113082_2016-10-05_final
2016-10-11 09:26:23	ga_ls8c_ard_3-0-0_091083_2016-10-10_final
2016-11-06 11:41:59	ga_ls8c_ard_3-0-0_113082_2016-11-06_final
2016-11-20 10:13:28	ga_ls8c_ard_3-0-0_099077_2016-11-20_final
2016-12-06 10:13:26	ga_ls8c_ard_3-0-0_099077_2016-12-06_final
2016-12-22 10:13:21	ga_ls8c_ard_3-0-0_099077_2016-12-22_final
2017-01-07 10:13:19	ga_ls8c_ard_3-0-0_099077_2017-01-07_final
2017-01-31 09:26:07	ga_ls8c_ard_3-0-0_091083_2017-01-30_final
2017-02-10 11:41:36	ga_ls8c_ard_3-0-0_113082_2017-02-10_final
2017-02-16 09:26:00	ga_ls8c_ard_3-0-0_091083_2017-02-15_final
2017-03-28 10:12:43	ga_ls8c_ard_3-0-0_099077_2017-03-28_final
2017-04-13 10:12:36	ga_ls8c_ard_3-0-0_099077_2017-04-13_final
2017-04-29 10:12:25	ga_ls8c_ard_3-0-0_099077_2017-04-29_final
2017-05-01 11:40:55	ga_ls8c_ard_3-0-0_113082_2017-05-01_final
2017-06-18 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-06-18_final
2017-08-03 10:13:06	ga_ls8c_ard_3-0-0_099077_2017-08-03_final
2017-08-05 11:41:38	ga_ls8c_ard_3-0-0_113082_2017-08-05_final
2017-09-20 10:13:16	ga_ls8c_ard_3-0-0_099077_2017-09-20_final
2017-10-24 11:41:57	ga_ls8c_ard_3-0-0_113082_2017-10-24_final
2017-12-09 10:13:16	ga_ls8c_ard_3-0-0_099077_2017-12-09_final
2017-12-25 10:13:18	ga_ls8c_ard_3-0-0_099077_2017-12-25_final
2018-01-12 11:41:43	ga_ls8c_ard_3-0-0_113082_2018-01-12_final
2018-02-11 10:12:57	ga_ls8c_ard_3-0-0_099077_2018-02-11_final
2018-03-15 10:12:41	ga_ls8c_ard_3-0-0_099077_2018-03-15_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-03-31 10:12:35	ga_ls8c_ard_3-0-0_099077_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
2018-05-02 10:12:17	ga_ls8c_ard_3-0-0_099077_2018-05-02_final
2018-06-03 10:11:54	ga_ls8c_ard_3-0-0_099077_2018-06-03_final
2018-06-19 10:12:03	ga_ls8c_ard_3-0-0_099077_2018-06-19_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-08-06 10:12:28	ga_ls8c_ard_3-0-0_099077_2018-08-06_final
2018-08-08 11:41:00	ga_ls8c_ard_3-0-0_113082_2018-08-08_final
2018-09-25 11:41:19	ga_ls8c_ard_3-0-0_113082_2018-09-25_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