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
2013-08-24 11:52:51	ga_ls8c_ard_3-0-0_115074_2013-08-24_final
2013-08-24 11:53:15	ga_ls8c_ard_3-0-0_115075_2013-08-24_final
2013-08-24 11:53:39	ga_ls8c_ard_3-0-0_115076_2013-08-24_final
2013-08-24 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-08-24_final
2013-08-24 11:54:27	ga_ls8c_ard_3-0-0_115078_2013-08-24_final
2013-08-24 11:54:51	ga_ls8c_ard_3-0-0_115079_2013-08-24_final
2013-10-04 11:48:06	ga_ls8c_ard_3-0-0_114078_2013-10-04_final
2013-10-04 11:48:30	ga_ls8c_ard_3-0-0_114079_2013-10-04_final
2013-10-04 11:48:54	ga_ls8c_ard_3-0-0_114080_2013-10-04_final
2013-10-04 11:49:18	ga_ls8c_ard_3-0-0_114081_2013-10-04_final
2013-10-20 11:48:03	ga_ls8c_ard_3-0-0_114078_2013-10-20_final
2013-10-20 11:48:27	ga_ls8c_ard_3-0-0_114079_2013-10-20_final
2013-10-20 11:48:50	ga_ls8c_ard_3-0-0_114080_2013-10-20_final
2013-10-20 11:49:14	ga_ls8c_ard_3-0-0_114081_2013-10-20_final
2013-11-12 11:52:32	ga_ls8c_ard_3-0-0_115074_2013-11-12_final
2013-11-12 11:52:56	ga_ls8c_ard_3-0-0_115075_2013-11-12_final
2013-11-12 11:53:20	ga_ls8c_ard_3-0-0_115076_2013-11-12_final
2013-11-12 11:53:44	ga_ls8c_ard_3-0-0_115077_2013-11-12_final
2013-11-12 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-11-12_final
2013-11-12 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-11-12_final
2013-11-14 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-11-14_final
2013-11-14 11:43:45	ga_ls8c_ard_3-0-0_113083_2013-11-14_final
2013-11-14 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-11-14_final
2013-11-21 11:47:50	ga_ls8c_ard_3-0-0_114078_2013-11-21_final
2013-11-21 11:48:14	ga_ls8c_ard_3-0-0_114079_2013-11-21_final
2013-11-21 11:48:38	ga_ls8c_ard_3-0-0_114080_2013-11-21_final
2013-11-21 11:49:02	ga_ls8c_ard_3-0-0_114081_2013-11-21_final
2013-12-07 11:47:26	ga_ls8c_ard_3-0-0_114077_2013-12-07_final
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
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
2014-02-09 11:47:10	ga_ls8c_ard_3-0-0_114078_2014-02-09_final
2014-02-09 11:47:33	ga_ls8c_ard_3-0-0_114079_2014-02-09_final
2014-02-09 11:47:57	ga_ls8c_ard_3-0-0_114080_2014-02-09_final
2014-02-09 11:48:21	ga_ls8c_ard_3-0-0_114081_2014-02-09_final
2014-03-13 11:46:45	ga_ls8c_ard_3-0-0_114078_2014-03-13_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
2018-02-18 11:56:47	ga_ls8c_ard_3-0-0_116074_2018-02-18_final
2018-02-27 11:50:08	ga_ls8c_ard_3-0-0_115073_2018-02-27_final
2018-02-27 11:50:32	ga_ls8c_ard_3-0-0_115074_2018-02-27_final
2018-02-27 11:50:56	ga_ls8c_ard_3-0-0_115075_2018-02-27_final
2018-02-27 11:51:19	ga_ls8c_ard_3-0-0_115076_2018-02-27_final
2018-02-27 11:51:43	ga_ls8c_ard_3-0-0_115077_2018-02-27_final
2018-02-27 11:52:07	ga_ls8c_ard_3-0-0_115078_2018-02-27_final
2018-02-27 11:52:31	ga_ls8c_ard_3-0-0_115079_2018-02-27_final
2018-03-01 11:41:21	ga_ls8c_ard_3-0-0_113082_2018-03-01_final
2018-03-01 11:41:44	ga_ls8c_ard_3-0-0_113083_2018-03-01_final
2018-03-01 11:42:08	ga_ls8c_ard_3-0-0_113084_2018-03-01_final
2018-04-16 11:49:43	ga_ls8c_ard_3-0-0_115073_2018-04-16_final
2018-04-16 11:50:07	ga_ls8c_ard_3-0-0_115074_2018-04-16_final
2018-04-16 11:50:31	ga_ls8c_ard_3-0-0_115075_2018-04-16_final
2018-04-16 11:50:55	ga_ls8c_ard_3-0-0_115076_2018-04-16_final
2018-04-16 11:51:18	ga_ls8c_ard_3-0-0_115077_2018-04-16_final
2018-04-16 11:51:42	ga_ls8c_ard_3-0-0_115078_2018-04-16_final
2018-04-16 11:52:06	ga_ls8c_ard_3-0-0_115079_2018-04-16_final
2018-04-18 11:40:55	ga_ls8c_ard_3-0-0_113082_2018-04-18_final
2018-04-18 11:41:19	ga_ls8c_ard_3-0-0_113083_2018-04-18_final
2018-04-18 11:41:43	ga_ls8c_ard_3-0-0_113084_2018-04-18_final
2018-05-18 11:49:23	ga_ls8c_ard_3-0-0_115073_2018-05-18_final
2018-05-18 11:49:47	ga_ls8c_ard_3-0-0_115074_2018-05-18_final
2018-05-18 11:50:11	ga_ls8c_ard_3-0-0_115075_2018-05-18_final
2018-05-18 11:50:35	ga_ls8c_ard_3-0-0_115076_2018-05-18_final
2018-05-18 11:50:59	ga_ls8c_ard_3-0-0_115077_2018-05-18_final
2018-05-18 11:51:23	ga_ls8c_ard_3-0-0_115078_2018-05-18_final
2018-05-18 11:51:47	ga_ls8c_ard_3-0-0_115079_2018-05-18_final
2018-05-20 11:40:35	ga_ls8c_ard_3-0-0_113082_2018-05-20_final
2018-05-20 11:40:59	ga_ls8c_ard_3-0-0_113083_2018-05-20_final
2018-05-20 11:41:23	ga_ls8c_ard_3-0-0_113084_2018-05-20_final
2019-03-11 11:45:51	ga_ls8c_ard_3-1-0_114078_2019-03-11_final
2019-03-11 11:46:15	ga_ls8c_ard_3-1-0_114079_2019-03-11_final
2019-03-11 11:46:38	ga_ls8c_ard_3-1-0_114080_2019-03-11_final
2019-03-11 11:47:02	ga_ls8c_ard_3-1-0_114081_2019-03-11_final
2019-03-13 11:36:16	ga_ls8c_ard_3-1-0_112085_2019-03-13_final
2019-10-14 11:42:02	ga_ls8c_ard_3-1-0_113082_2019-10-14_final
2019-10-14 11:42:26	ga_ls8c_ard_3-1-0_113083_2019-10-14_final
2019-10-14 11:42:50	ga_ls8c_ard_3-1-0_113084_2019-10-14_final
2019-12-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2019-12-01_final
2019-12-01 11:42:21	ga_ls8c_ard_3-1-0_113083_2019-12-01_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