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
2013-06-05 11:53:15	ga_ls8c_ard_3-0-0_115075_2013-06-05_final
2013-06-05 11:53:39	ga_ls8c_ard_3-0-0_115076_2013-06-05_final
2013-06-05 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-06-05_final
2013-06-05 11:54:27	ga_ls8c_ard_3-0-0_115078_2013-06-05_final
2013-07-25 11:44:25	ga_ls8c_ard_3-0-0_113084_2013-07-25_final
2013-08-01 11:49:01	ga_ls8c_ard_3-0-0_114080_2013-08-01_final
2013-08-01 11:49:25	ga_ls8c_ard_3-0-0_114081_2013-08-01_final
2013-08-10 11:44:27	ga_ls8c_ard_3-0-0_113084_2013-08-10_final
2013-08-17 11:49:02	ga_ls8c_ard_3-0-0_114080_2013-08-17_final
2013-08-17 11:49:26	ga_ls8c_ard_3-0-0_114081_2013-08-17_final
2013-10-29 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-10-29_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
2013-11-12 11:54:56	ga_ls8c_ard_3-0-0_115080_2013-11-12_final
2013-11-14 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-11-14_final
2016-12-06 11:51:31	ga_ls8c_ard_3-0-0_115075_2016-12-06_final
2016-12-06 11:51:55	ga_ls8c_ard_3-0-0_115076_2016-12-06_final
2016-12-06 11:52:19	ga_ls8c_ard_3-0-0_115077_2016-12-06_final
2016-12-06 11:52:43	ga_ls8c_ard_3-0-0_115078_2016-12-06_final
2016-12-06 11:53:07	ga_ls8c_ard_3-0-0_115079_2016-12-06_final
2016-12-06 11:53:31	ga_ls8c_ard_3-0-0_115080_2016-12-06_final
2016-12-31 11:47:15	ga_ls8c_ard_3-0-0_114080_2016-12-31_final
2016-12-31 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-12-31_final
2017-01-07 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-01-07_final
2017-01-07 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-01-07_final
2017-01-07 11:52:12	ga_ls8c_ard_3-0-0_115077_2017-01-07_final
2017-01-07 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-01-07_final
2017-01-07 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-01-07_final
2017-01-07 11:53:24	ga_ls8c_ard_3-0-0_115080_2017-01-07_final
2017-01-09 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-01-09_final
2017-01-23 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-01-23_final
2017-01-23 11:51:43	ga_ls8c_ard_3-0-0_115076_2017-01-23_final
2017-01-23 11:52:07	ga_ls8c_ard_3-0-0_115077_2017-01-23_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-01-23 11:52:55	ga_ls8c_ard_3-0-0_115079_2017-01-23_final
2017-01-23 11:53:19	ga_ls8c_ard_3-0-0_115080_2017-01-23_final
2017-01-25 11:42:32	ga_ls8c_ard_3-0-0_113084_2017-01-25_final
2017-03-12 11:50:58	ga_ls8c_ard_3-0-0_115075_2017-03-12_final
2017-03-12 11:51:22	ga_ls8c_ard_3-0-0_115076_2017-03-12_final
2017-03-12 11:51:46	ga_ls8c_ard_3-0-0_115077_2017-03-12_final
2017-03-12 11:52:09	ga_ls8c_ard_3-0-0_115078_2017-03-12_final
2017-03-12 11:52:33	ga_ls8c_ard_3-0-0_115079_2017-03-12_final
2017-03-12 11:52:57	ga_ls8c_ard_3-0-0_115080_2017-03-12_final
2017-03-14 11:42:10	ga_ls8c_ard_3-0-0_113084_2017-03-14_final
2017-09-27 11:57:12	ga_ls8c_ard_3-0-0_116074_2017-09-27_final
2017-09-27 11:57:36	ga_ls8c_ard_3-0-0_116075_2017-09-27_final
2017-09-27 11:58:00	ga_ls8c_ard_3-0-0_116076_2017-09-27_final
2017-10-29 11:57:17	ga_ls8c_ard_3-0-0_116074_2017-10-29_final
2017-10-29 11:57:41	ga_ls8c_ard_3-0-0_116075_2017-10-29_final
2017-10-29 11:58:05	ga_ls8c_ard_3-0-0_116076_2017-10-29_final
2017-10-31 11:47:19	ga_ls8c_ard_3-0-0_114080_2017-10-31_final
2017-10-31 11:47:43	ga_ls8c_ard_3-0-0_114081_2017-10-31_final
2017-11-14 11:57:14	ga_ls8c_ard_3-0-0_116074_2017-11-14_final
2017-11-14 11:57:38	ga_ls8c_ard_3-0-0_116075_2017-11-14_final
2017-11-14 11:58:02	ga_ls8c_ard_3-0-0_116076_2017-11-14_final
2017-11-30 11:57:08	ga_ls8c_ard_3-0-0_116074_2017-11-30_final
2017-11-30 11:57:32	ga_ls8c_ard_3-0-0_116075_2017-11-30_final
2017-11-30 11:57:56	ga_ls8c_ard_3-0-0_116076_2017-11-30_final
2017-12-16 11:57:10	ga_ls8c_ard_3-0-0_116074_2017-12-16_final
2017-12-16 11:57:34	ga_ls8c_ard_3-0-0_116075_2017-12-16_final
2017-12-16 11:57:58	ga_ls8c_ard_3-0-0_116076_2017-12-16_final
2017-12-18 11:47:12	ga_ls8c_ard_3-0-0_114080_2017-12-18_final
2017-12-18 11:47:36	ga_ls8c_ard_3-0-0_114081_2017-12-18_final
2018-01-01 11:57:08	ga_ls8c_ard_3-0-0_116074_2018-01-01_final
2018-01-01 11:57:32	ga_ls8c_ard_3-0-0_116075_2018-01-01_final
2018-01-01 11:57:56	ga_ls8c_ard_3-0-0_116076_2018-01-01_final
2018-01-03 11:47:10	ga_ls8c_ard_3-0-0_114080_2018-01-03_final
2018-01-03 11:47:34	ga_ls8c_ard_3-0-0_114081_2018-01-03_final
2018-02-02 11:56:51	ga_ls8c_ard_3-0-0_116074_2018-02-02_final
2018-02-02 11:57:15	ga_ls8c_ard_3-0-0_116075_2018-02-02_final
2018-02-02 11:57:39	ga_ls8c_ard_3-0-0_116076_2018-02-02_final
2018-02-02 11:58:03	ga_ls8c_ard_3-0-0_116077_2018-02-02_final
2018-02-18 11:56:47	ga_ls8c_ard_3-0-0_116074_2018-02-18_final
2018-02-18 11:57:10	ga_ls8c_ard_3-0-0_116075_2018-02-18_final
2018-02-18 11:57:34	ga_ls8c_ard_3-0-0_116076_2018-02-18_final
2018-02-18 11:57:58	ga_ls8c_ard_3-0-0_116077_2018-02-18_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
2018-04-16 11:52:30	ga_ls8c_ard_3-0-0_115080_2018-04-16_final
2018-04-18 11:41:43	ga_ls8c_ard_3-0-0_113084_2018-04-18_final
2019-03-04 11:42:06	ga_ls8c_ard_3-0-0_113084_2019-03-04_final
2019-03-09 11:56:37	ga_ls8c_ard_3-1-0_116074_2019-03-09_final
2019-03-09 11:57:01	ga_ls8c_ard_3-1-0_116075_2019-03-09_final
2019-03-09 11:57:25	ga_ls8c_ard_3-1-0_116076_2019-03-09_final
2019-03-09 11:57:49	ga_ls8c_ard_3-1-0_116077_2019-03-09_final
2019-06-13 11:56:48	ga_ls8c_ard_3-1-0_116074_2019-06-13_final
2019-06-13 11:57:12	ga_ls8c_ard_3-1-0_116075_2019-06-13_final
2019-06-13 11:57:36	ga_ls8c_ard_3-1-0_116076_2019-06-13_final
2019-12-01 11:42:45	ga_ls8c_ard_3-1-0_113084_2019-12-01_final
2020-11-15 11:51:29	ga_ls8c_ard_3-1-0_115075_2020-11-15_final
2020-11-15 11:51:53	ga_ls8c_ard_3-1-0_115076_2020-11-15_final
2020-11-15 11:52:17	ga_ls8c_ard_3-1-0_115077_2020-11-15_final
2020-11-15 11:52:41	ga_ls8c_ard_3-1-0_115078_2020-11-15_final
2020-11-15 11:53:05	ga_ls8c_ard_3-1-0_115079_2020-11-15_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