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
2013-12-07 11:47:50	ga_ls8c_ard_3-0-0_114078_2013-12-07_final
2013-12-07 11:48:14	ga_ls8c_ard_3-0-0_114079_2013-12-07_final
2013-12-07 11:48:38	ga_ls8c_ard_3-0-0_114080_2013-12-07_final
2013-12-16 11:43:10	ga_ls8c_ard_3-0-0_113082_2013-12-16_final
2013-12-16 11:43:34	ga_ls8c_ard_3-0-0_113083_2013-12-16_final
2013-12-16 11:43:58	ga_ls8c_ard_3-0-0_113084_2013-12-16_final
2014-01-01 11:43:02	ga_ls8c_ard_3-0-0_113082_2014-01-01_final
2014-01-01 11:43:26	ga_ls8c_ard_3-0-0_113083_2014-01-01_final
2014-01-01 11:43:50	ga_ls8c_ard_3-0-0_113084_2014-01-01_final
2014-01-08 11:47:31	ga_ls8c_ard_3-0-0_114078_2014-01-08_final
2014-01-08 11:47:55	ga_ls8c_ard_3-0-0_114079_2014-01-08_final
2014-01-08 11:48:19	ga_ls8c_ard_3-0-0_114080_2014-01-08_final
2014-01-08 11:48:43	ga_ls8c_ard_3-0-0_114081_2014-01-08_final
2014-03-20 11:51:14	ga_ls8c_ard_3-0-0_115074_2014-03-20_final
2014-03-20 11:51:38	ga_ls8c_ard_3-0-0_115075_2014-03-20_final
2014-03-20 11:52:02	ga_ls8c_ard_3-0-0_115076_2014-03-20_final
2014-03-20 11:52:26	ga_ls8c_ard_3-0-0_115077_2014-03-20_final
2014-03-20 11:52:50	ga_ls8c_ard_3-0-0_115078_2014-03-20_final
2014-03-20 11:53:14	ga_ls8c_ard_3-0-0_115079_2014-03-20_final
2014-03-22 11:42:02	ga_ls8c_ard_3-0-0_113082_2014-03-22_final
2014-03-22 11:42:26	ga_ls8c_ard_3-0-0_113083_2014-03-22_final
2014-03-22 11:42:50	ga_ls8c_ard_3-0-0_113084_2014-03-22_final
2014-05-16 11:45:46	ga_ls8c_ard_3-0-0_114078_2014-05-16_final
2014-05-16 11:46:09	ga_ls8c_ard_3-0-0_114079_2014-05-16_final
2014-05-16 11:46:33	ga_ls8c_ard_3-0-0_114080_2014-05-16_final
2014-05-16 11:46:57	ga_ls8c_ard_3-0-0_114081_2014-05-16_final
2014-06-24 11:50:31	ga_ls8c_ard_3-0-0_115074_2014-06-24_final
2014-06-24 11:50:55	ga_ls8c_ard_3-0-0_115075_2014-06-24_final
2014-06-24 11:51:19	ga_ls8c_ard_3-0-0_115076_2014-06-24_final
2014-06-24 11:51:43	ga_ls8c_ard_3-0-0_115077_2014-06-24_final
2014-06-24 11:52:07	ga_ls8c_ard_3-0-0_115078_2014-06-24_final
2014-06-24 11:52:31	ga_ls8c_ard_3-0-0_115079_2014-06-24_final
2015-07-20 11:56:34	ga_ls8c_ard_3-0-0_116074_2015-07-20_final
2015-08-21 11:56:45	ga_ls8c_ard_3-0-0_116074_2015-08-21_final
2015-08-23 11:45:59	ga_ls8c_ard_3-0-0_114078_2015-08-23_final
2015-08-23 11:46:23	ga_ls8c_ard_3-0-0_114079_2015-08-23_final
2015-09-06 11:56:50	ga_ls8c_ard_3-0-0_116074_2015-09-06_final
2015-09-15 11:50:20	ga_ls8c_ard_3-0-0_115073_2015-09-15_final
2015-09-15 11:50:44	ga_ls8c_ard_3-0-0_115074_2015-09-15_final
2015-09-15 11:51:08	ga_ls8c_ard_3-0-0_115075_2015-09-15_final
2015-09-15 11:51:32	ga_ls8c_ard_3-0-0_115076_2015-09-15_final
2015-09-15 11:51:56	ga_ls8c_ard_3-0-0_115077_2015-09-15_final
2015-09-15 11:52:20	ga_ls8c_ard_3-0-0_115078_2015-09-15_final
2015-09-15 11:52:44	ga_ls8c_ard_3-0-0_115079_2015-09-15_final
2015-09-22 11:56:58	ga_ls8c_ard_3-0-0_116074_2015-09-22_final
2015-11-25 11:57:08	ga_ls8c_ard_3-0-0_116074_2015-11-25_final
2017-04-13 11:49:53	ga_ls8c_ard_3-0-0_115073_2017-04-13_final
2017-04-13 11:50:17	ga_ls8c_ard_3-0-0_115074_2017-04-13_final
2017-04-13 11:50:41	ga_ls8c_ard_3-0-0_115075_2017-04-13_final
2017-04-13 11:51:05	ga_ls8c_ard_3-0-0_115076_2017-04-13_final
2017-04-13 11:51:29	ga_ls8c_ard_3-0-0_115077_2017-04-13_final
2017-04-13 11:51:53	ga_ls8c_ard_3-0-0_115078_2017-04-13_final
2017-04-13 11:52:17	ga_ls8c_ard_3-0-0_115079_2017-04-13_final
2017-05-31 11:50:00	ga_ls8c_ard_3-0-0_115073_2017-05-31_final
2017-05-31 11:50:24	ga_ls8c_ard_3-0-0_115074_2017-05-31_final
2017-05-31 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-05-31_final
2017-05-31 11:51:12	ga_ls8c_ard_3-0-0_115076_2017-05-31_final
2017-05-31 11:51:36	ga_ls8c_ard_3-0-0_115077_2017-05-31_final
2017-05-31 11:52:00	ga_ls8c_ard_3-0-0_115078_2017-05-31_final
2017-05-31 11:52:24	ga_ls8c_ard_3-0-0_115079_2017-05-31_final
2017-07-18 11:50:15	ga_ls8c_ard_3-0-0_115073_2017-07-18_final
2017-07-18 11:50:39	ga_ls8c_ard_3-0-0_115074_2017-07-18_final
2017-07-18 11:51:03	ga_ls8c_ard_3-0-0_115075_2017-07-18_final
2017-07-18 11:51:27	ga_ls8c_ard_3-0-0_115076_2017-07-18_final
2017-07-18 11:51:51	ga_ls8c_ard_3-0-0_115077_2017-07-18_final
2017-07-18 11:52:15	ga_ls8c_ard_3-0-0_115078_2017-07-18_final
2017-07-18 11:52:39	ga_ls8c_ard_3-0-0_115079_2017-07-18_final
2017-07-25 11:56:54	ga_ls8c_ard_3-0-0_116074_2017-07-25_final
2017-10-08 11:41:54	ga_ls8c_ard_3-0-0_113082_2017-10-08_final
2017-10-08 11:42:18	ga_ls8c_ard_3-0-0_113083_2017-10-08_final
2017-10-08 11:42:42	ga_ls8c_ard_3-0-0_113084_2017-10-08_final
2017-10-22 11:50:43	ga_ls8c_ard_3-0-0_115073_2017-10-22_final
2017-10-22 11:51:07	ga_ls8c_ard_3-0-0_115074_2017-10-22_final
2017-10-22 11:51:30	ga_ls8c_ard_3-0-0_115075_2017-10-22_final
2017-10-22 11:51:54	ga_ls8c_ard_3-0-0_115076_2017-10-22_final
2017-10-22 11:52:18	ga_ls8c_ard_3-0-0_115077_2017-10-22_final
2017-10-22 11:52:42	ga_ls8c_ard_3-0-0_115078_2017-10-22_final
2017-10-22 11:53:06	ga_ls8c_ard_3-0-0_115079_2017-10-22_final
2017-10-24 11:41:57	ga_ls8c_ard_3-0-0_113082_2017-10-24_final
2017-10-24 11:42:20	ga_ls8c_ard_3-0-0_113083_2017-10-24_final
2017-10-24 11:42:44	ga_ls8c_ard_3-0-0_113084_2017-10-24_final
2017-11-23 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-11-23_final
2017-11-23 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-11-23_final
2017-11-23 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-11-23_final
2017-11-23 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-11-23_final
2017-11-23 11:52:12	ga_ls8c_ard_3-0-0_115077_2017-11-23_final
2017-11-23 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-11-23_final
2017-11-23 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-11-23_final
2017-11-25 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-11-25_final
2017-11-25 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-11-25_final
2017-11-25 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-11-25_final
2017-12-25 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-12-25_final
2017-12-25 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-12-25_final
2017-12-25 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-12-25_final
2017-12-25 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-12-25_final
2017-12-25 11:52:11	ga_ls8c_ard_3-0-0_115077_2017-12-25_final
2017-12-25 11:52:35	ga_ls8c_ard_3-0-0_115078_2017-12-25_final
2017-12-25 11:52:59	ga_ls8c_ard_3-0-0_115079_2017-12-25_final
2017-12-27 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-12-27_final
2017-12-27 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-12-27_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